Tag Archives: data center India

Web Hosting Solutions for Businesses

Linux Webhosting solution: Paramount hosting solution in Industry!

Linux hosting solutions imply that to control across several web servers that are interconnected on the contrary to the traditional hosting ways that like shared hosting, and dedicated hosting. It just means that your site is victimization the virtual resources of numerous servers to produce network for all the hosting sites. The load leveling along with the protection of hardware resources are nearly gift so as that they are gift whenever the necessity arises. The cluster of servers is termed the Linux which are hosted on the particular network.

Go4hosting provides a reliable, secured and managed business solution for growing your businesses across the market well. Go4hosting develops the customized solutions for every client in achieving their targets well in time.

Features of Linux Hosting Server

  • Flexibility: In Linux hosting functions, the whole server configuration are controlled by the web-based interfaces, so users have flexible system for operation. With Linux hosting functions offering a novel approach of region-specific data centers, this helps to attenuate the time needed to deliver the information to the alternative agents making it very acceptable for developers.
  • Operating system choice: With Go4hosting Linux servers, you may choose any package of your selection with best business features. For better and avid hosting solutions, developers can have better developing applications for the dedicated resources, with management of the applications and servers by themselves which is an addition, tedious task.
  • Lower latency: With Linux hosting, being offered for a quick Linux hosting servers, approach the users and additionally the developers, for creation of managed new development background that has provided effective latency management.
  • Develop high-performing applications: With the Linux hosting web developers can prove to various servers, managed and high performance functions on regular basis. Linux hosting solution, offers many ways to overcome the limitations which affect performance, quality as well as storage capability with presence of shared server resources. As a result, the performance depends to the discretion of the hosting supported with ease. This condition comes up from developing subtle applications like CRM applications.
  • Linux webhosting for timely delivery: With Linux hosting solutions, the developers offer best website application solutions for its internal as well as external scripts with quicker Linux hosting platforms. With native data center and advanced CDN, users can save time which is being spent by online servers for internal and external scripts.

Better business growth with Linux hosting solutions!

With quicker loading speed and user experience, the developers can handle all the critical stress as well as risks of webpages within few seconds for managing all the content functions well. Undoubtedly, the Linux server computing has brought a wonderful shift in internet world by offering intense, quick and managed hosting functions. With the developers presently having access to setup that are best-suited for developing website applications all the fraction of business prices are handled, making it the most desired, quick and effective approach of managing the client’s demand well in time.

Deca Core Dedicated Servers – Frequently Asked Questions

Deca Core Dedicated Servers – Frequently Asked Questions

This article tries to answer the most frequently asked questions by businesses about Deca Core dedicated servers.

FAQ#1 Deca Core Dedicated Servers – What is it?

These servers come with processors having ten cores. The presence of 10 cores in the processor helps this server to simultaneously operate 10 different processes. These processors are most popular with High Performance Computing or HPC. Here, the workloads are so huge, multiple cores can take advantage of the available ten cores in the Deca Core processor. Websites having extremely high traffic can take advantage of these kinds of Dedicated servers. Other areas that are known to have taken advantage of these multiple core processors include AI (Artificial Intelligence), machine learning, database processing, and many more.

Deca means 10 (ten) or Roman numeral ten (X). A Decacore processor comes with ten physical CPU cores on a single silicon piece. The term Deca is most used in the mobile industry. This kind of Decacore processor was first announced by Mediatek 1.5 years back in the mobile industry. This processor was named Helios X20. It was later succeeded by processors such as Helios X25 and Helios X30. Helios X20 had 10 cores in them. There were 8 cortex A53 cores. They are divided into two clusters of four. Besides these 8 processors, there are two A72 cores, which are essentially high performance ones.

However, it will be misleading to think that this was the first of its kind in the industry as a whole. The 10-cores processor was first introduced for Personal Computers that were manufactured by Intel. The current one is named i7 6950x.

The largest Xeon Intel that is available is Xeon E5 2699 V5, which comes with 22 cores. AMD offers the largest cores packing. It is Ryzen 4700, which is essentially Naples server core. This processor features 32 cores.

FAQ #2 Deca Core Dedicated Servers – How do they Work?

Dedicated servers that come with Deca Core processors provide users with greater performance than that of systems with lesser number of cores. This is simply because more cores in a processor can process more instructions side-by-side. When 10 cores run on a single chip, efficiency gets increased. This also reduces redundancy. Deca Core processors in a dedicated server are extremely well-threaded. This helps in larger cache as well as higher capacity for memory.

It must be kept in mind that using deca core processors will not increase the performance of old legacy applications as well as programs. This is because of the simple fact that the programs and applications that were written before the advent of multi-core servers don’t have the system’s parallel instruction efficiencies. That’s the reason why many companies are currently upgrading their internal systems. The cost of development and upgrade is high. However, the efficiency and speed they receive from upgrading their system justifies the cost of upgrade or development.

Another thing that you should keep in mind is that the Deca Core processors need not be 10 times faster than their single core counterparts. Efficiency, memory capacity, and other related aspects improve significantly. However, it doesn’t mean that the performance will increase by as many times as the number of cores.

FAQ #3 What are the Benefits Associated with the Deca Core Dedicated Servers?

There are wide array of advantages associated with the Deca Core dedicated servers. Some of the most important ones include reduction in latency, improvement in performance, decreased generation of heat, maximization of bandwidth as well as the primary memory, and decrease in consumption of power. Deca Core dedicated servers are better suited with the system architecture of the modern world.

As these processors are highly effective and fast, they are used in high performance facilities such as cluster arrangements as well as private clouds. The ability of processing instructions in parallel makes them the perfect choice for the creation of virtual machines.

Deca core processors are extremely valued by the gamers. This is because they need to multitask on a very rapid manner. In fact, those users who have to multitask on a regular basis can also choose Deca Core dedicated servers.

Go4hosting has Become the first Indian Data Center to Launch First of its kind 28 Core Duo Tetradecagon Server

A leading data center company in India, Go4Hosting, has become the first ever hosting company to provide its customers with a massive 28 Core Duo Tetradecagon Server. In addition to this, they have also announced launch of their wide array of server services. The entire bouquet of servers includes Dual Deca Core Servers, Dodeca Core Servers, and Dual Octa Core Servers. They had launched these server services back in September 2016, becoming the first ever hosting company in India to provide its corporate and other business clients with these kinds of services.

data center

How Artificial Intelligence in Data Centers Promises Greater Energy Efficiency and Much More?

A data center facility is home to a plethora of components that include servers, cooling equipment, storage devices, workloads, and networking to name a few. Working of a data center is influenced by a coordinated functioning of all data center components offering a number of patterns to learn from. Know more about Go4hosting Data Center in India

Major Use Cases Of AI In Data Centers

Power consumption contributes significantly to a datacenter’s overall operating costs. One can achieve remarkable cost efficiency by reducing energy requirements of data center with help of Artificial Intelligence.

Artificial Intelligence has tremendous potential to enhance energy efficiency of data centers by continuously learning from patterns in the past. This has been demonstrated convincingly by Google DeepMind System as it helped reduce power consumption in one of its data centers by a whopping fifteen percent.

The reduction in energy requirement in this case was an impressive forty percent. This was achieved in a short span of eighteen months, thus paving way for energy efficient data centers by leveraging Artificial Intelligence.

Read More: How to transform urban traffic with Artificial Intelligence?

IBM has been approached by Nlyte to leverage its IBM Watson for integrating the same with one of its products designed for data centers. The solution is aimed at collecting diverse data from cooling and power systems installed at several data centers. IBM Watson is assigned with responsibility of analyzing the data to build a predictive model for knowing exactly which processors and systems would be breaking down on account of getting hot.

Vigilent has entered into a Joint Venture with Siemens to enable customers with an access to an optimization solution, which is backed by Artificial Intelligence for dealing with cooling challenges posed by equipment in data centers. The solution involves sensors for data collection by leveraging a combined resource of Internet of Things and Machine Learning.

Read More: How Can the Internet of Things Drive Cloud Growth?

This information is used in combination with complex algorithms for thermal optimization to reduce energy consumption. By controlling temperatures at proper level one can improve power efficiency by as much as forty percent. Lack of information or access to the tools needed to boost data center’s energy efficiency is the root cause of under utilization of cooling efficiency.

Influence Of AI On DC Infrastructure

Design of data center and its deployment is an extremely complex issue due to a number of facilities that are of various shapes and sizes. Add to this the exponential growth of data generation and need to handle byzantine networks to handle intricate computing involving algorithmic calculations to know the vastness of challenges that need to be handled by modern data centers.

Artificial intelligence is leveraged for improving data centers in terms of their power efficiency and compute power for addressing rising demand of data management in the modern scenario.

Thanks to the advent of emerging technologies such as deep learning as well as machine learning, there is an unprecedented demand for servers and microprocessors. Advanced GPUs are essential for implementation of applications that are backed by deep learning. These are also must to support image and voice recognition and is it is hardly any wonder why modern enterprises are planning to build data centers that support deep learning as well as machine learning.

Optimization Of Servers And Data Center Security

Proper running of storage equipment and servers with efficient maintenance is vital for the health of data centers. Predictive analysis is one of the most sought after applications of Artificial Intelligence, which is commonly adopted by data center operators for server optimization.

This application of Artificial Intelligence can even facilitate load balancing solutions to gain learning capabilities and deliver load balancing with greater efficiency by leveraging past information. Artificial Intelligence can also be applied for mitigation of network bottlenecks, monitoring of server performance and control over disk utilization.

Security is another important aspect of data center operations, which is influenced by use of Artificial Intelligence. Since every data center must implement measures to reduce possibility of any cyber attack, there is a need to consistently improve security for gaining an upper hand on hackers and intruders.

It is obvious that human efforts will not be sufficient to keep pace with the ever changing landscape of cyber attacks as hackers are using advanced measures to breach security measures. Artificial Intelligence can help security experts reduce the amount of human efforts and improve vigilance to a great extent.

Machine learning has been implemented to understand normal behavior and pinpoint any instance that deviates from the same to address threats. Machine learning or deep learning can provide a more efficient alternative to the traditional methods of access restrictions since these methods tend to fall short of implementing optimum security measures.

Data Centers Of The Future

As the demands for data centers with huge capacity to handle increased data volumes with speed and accuracy are growing, there is need to adopt artificial intelligence to support human efforts. Solutions with capabilities of Artificial Intelligence are specifically being designed to facilitate data center operations.

One of the latest solutions that cater to data center operations is called as Dac and is designed to leverage Artificial Intelligence for detection of any issues in cooling and server rooms including loose cables or faulty water lines.

Dac is backed by advanced hearing capabilities that make use of ultrasound waves. It will be supported by thousands of sensors that are positioned strategically to detect deviations from norms. Artificial Intelligence is also being adopted for developing robots to streamline data center operations in terms of handling physical equipment.

In Conclusion

Adoption of Artificial Intelligence by companies that range from startups to huge organizations including Google or Siemens underlines a novel approach to improve efficiency of data centers. AI has demonstrated that data centers can significantly improve power consumption to reduce costs.

Potential for use of AI, and other emerging technologies such as Machine Learning and Deep Learning is just beginning to be fathomed by us. These technologies will soon be operating entire data centers and will also help improve security parameters and reduce events of power outages by taking proactive steps.

data center migration

How to Plan and Carry Out Data Center Migration

Data center migration becomes imperative for many organizations for a number of reasons. Such migrations may become necessary because of the need to consolidate data center facilities following mergers. Migrations may be needed for an expansion, or for situations when leases terminate, or because of regulatory requirements, or even for adopting the cloud.

There may be various causes leading to data center migrations but every such migration will need to follow a definite strategy. There has to be a proper map and inventory of every asset a data center owns in order to move these, replace these or completely do away with these. The data center inventory is therefore the road map for actions which need to be performed to close down one data center and relocate it. You can compile the data center inventory by using software like BMC Discovery.

Whether you use a third party plan or manually create your own DC checklist, below are the factors which must be looked into:

– Before you shift the data center assets, you need to review whatever existing contractual obligations you may still have with the one you are using. This includes penalties and termination clauses which must be respected; these will state all the duties which you need to perform before you can migrate a data center.

– The hardware inventory will identify the infrastructure equipments and servers which you must replace and those which you must move. This also includes all data center network components like routers, firewalls, printers, switches, desktops, web server farms, UPS systems, edge servers, modems, load balancing hardware, backup devices and power distribution units. These components have to be enlisted together with their appropriate manufacturer names and model numbers, operating system versions, IP details like the IP addresses used, gateway, subnet, relevant equipment-specific details, power needs such as wattage, IO voltage, kinds of electrical connectors etc.

– Besides the hardware inventory, there should be a communications inventory too which will cover non-tangible resources. These must be moved or replaced or retired when data center migration takes place. Here, you will need items like the Internet (class A, B or C) networks and where these were obtained from, internal IP addresses which the data center used, telecommunication lines, domain names, registrars for each IP address, DHCP IP reservations for specific data center and subnet equipments, firewall ACLs or Access Control Lists, contract information about leased resources which states the expiry dates for such contracts, termination procedures etc. Just like the inventory for hardware this inventory may have some surprises in store like IP addresses which the existing data center owns or telecom lines which are going to be valid for many more years according to their contracts or severe penalties for contract terminations etc which you need to be aware of.

– When you have made an inventory for the hardware and communications items you need to identify all those applications which run in the data center. These will include the core network applications like print servers and files, support services like WSUS servers or Windows Server Update Services which offer patches to the client devices, and third party servers which will update client software like anti-virus software, and email servers and databases, FTP servers and web servers, backup servers etc. You will need to include production applications in this list too and these are the ones which run the business like ERP CRM software, Big Data servers, business intelligence etc. You application inventory will also have list of servers and applications in data centers owned by third parties which are communicating with those in the current data center, PC applications which interact with data center applications, business partners that access these applications and network through firewalls in the existing data center. Other include email providers and apps used by email filtering services, and IP addresses which such entities may have used for contacting applications in your data center. So, this application inventory will reveal how well the data center is connected both within and outside the organization.

Do, the DC inventory is of utmost value when it comes to data center migration. It outlines all the things you need to do to successfully execute a shift to another physical or virtual data center. It works like a documentation of the entire network infrastructure which is responsible for powering your organization and the application connections which are dependent on such infrastructure. Using this information, you may create an effective strategy that will tell you how to move data centers. It can also help you to identify and prepare for risks that your organization can face when there is a data center migration.

Data Center Discovery

Secure Your Digital Footprint by Leveraging Data Center Discovery

The current trend of technology is certainly a reason to cheer. Widespread technology adoption has propelled a great number of traditionally operated enterprises into digitally empowered organizations that are ready to face the challenges of data intensive workloads.

However, the rise of cybercrime has been found to be in sync with the acceptance of modern technologies such as cloud computing. This can be confirmed by looking at the accelerated pace of information theft, thanks to the organized gangs of cybercriminals. The growth in number of breaches can be the most serious threat to technology development.

The only way to protect your organization’s digital resources as well as assets is to blend operations and IT security teams with help of mapping of dependencies and data center discovery.

Create a unified storehouse for configuration data

You can easily get rid of silos by building a comprehensive management process to involve configuration throughout your enterprise. This will enable you to arrive at decisions that encompass IT security, enterprise architecture, and systems management.

Common warehouse for configuration data can facilitate mitigation of efforts that are necessary for maintenance and collection of quality data from diverse sources while speaking common language with seamless agreement on data formats.

Multiple cloud discovery coupled with dependency mapping can eliminate complexity of implementation processes. It becomes easy to adopt scalable and multi-cloud deployments that can be designed to merge with security tools while satisfying the norms of industry certifications.

If we enable IT security group and configuration management team to work in harmony, then it is possible to allow rights of access while enjoying desired benefits of leveraging the latest data.

Compliance in a mature organization

In a digitally mature enterprise, consistent improvements and checks are the order of the day and so are inventory audits. This calls for continuous evaluation of all business functions of digital assets. This calls for seamless access to highly reliable reports which can be generated by implementation of automated discovery. Such process can also improve cost efficiency.

Collection and maintenance of inventory data can be a daunting process because of the accelerated pace of digital transformation. If you have adopted a multi-cloud approach, then your enterprise can easily adopt to changes that are taking place due to elimination of vendor lock-in.

Elimination of vulnerabilities

Analysis of a large number of security breaches has confirmed that these can be attributed to vulnerabilities in systems caused due to imperfect configurations. This scenario can be significantly improved by way of multi-cloud discovery that allows data to be handled through a process of vulnerability management.

There are several possibilities that can lead to flawed configurations. Adoption of unauthorized software applications or operating systems or use of hardware that is procured from unsupported source can impact basic technical data.

Lack of fundamental security tools can seriously hamper components that may not have any relation with business functions. If you are dealing with merging of diverse infrastructures following a merger or acquisition, then the following must be kept in mind. More profound and mission critical implementations such as dependency mapping must be exposed to complex evaluation of disaster recovery.

By making the entire process to rely on a robust process backed by dependable data sources, one can make a quick headway in securing digitally empowered enterprise.

Identifying and prioritizing vulnerabilities

No one can expect to eliminate all vulnerabilities but it is possible to at least chalk out priorities by identifying the most critical ones for isolation so that the impact of any disaster or data breach can be minimized. This can also facilitate effective deployment of resources.

In order to appraise the critical nature of a particular security issue, one must adopt sophisticated tools for scanning and accessing knowledge bases to understand vulnerabilities. Another perspective of priority mapping can be associated with gaining insights about impact scenarios and application maps for understanding business impact post data breach.

Following are the ways that enhance process of vulnerability management by implementation of dependency mapping as well as data center mapping processes.

These processes can enable you to gain valuable insights about process of application deployment and their security features. Secondly, you can tune your system components with business processes by adjusting impact specific priorities to secure the most critical components from enabling seamless business continuity.

Reinforcing adaptability to change

Change management is all about mitigation of conflicts among different security teams who are supposed to recommend system configurations and operations teams that must implement these. A frictionless working of these teams can guarantee a reliable and always available digital infrastructure.

By delivering a precise and seamless understanding of impacts that are bound to influence the organization, dependency mapping and multi-cloud discovery help achieve flawless transition.

The ultimate aim of any change management process should be smooth transition with help of meaningful collaboration and faster decision making for uneventful rollouts.

How to Select the Best Data Center for Migration

How to Select the Best Data Center for Migration

In this age of constant upheavals, mergers and acquisitions are the order of the day. This can make on site IT infrastructures totally obsolete and one is staring at the urgent need to consolidate and move these vital facilities to new destinations.

These new facilities could be either own data center or a colocation resource. In any situation the entire process is sure to cost heavily in terms of money as well as time. Modern data centers aim to be an integral part of an organization by delivering vital services such as customer engagement, apps testing, and much more.

Selection of the best data center for migration is a vital process for a smooth transition and seamless performance of all mission critical applications for years ahead. However, it is essential to analyze existing infrastructure before making a shift.

Significance of planned DC migration

Importance of a properly functioning data center for any business is a foregone conclusion. Every organization must analyze its requirements in relation with capacity of the data center. Many companies are found to operate with help of inadequate resources of data centers. Similarly, many data centers are not able to cope up with growing needs of companies due to presence of obsolete equipment and so forth.

Secondly, most of the facilities have been rendered inefficient because these are not equipped to handle advanced needs of power and cooling. It is therefore certain that every organization will have to take a call for migration of its data center due to passage of time and many more reasons.

It is therefore no wonder that globally three out of ten companies are exploring options for data center migration or data center consolidation. While planning a data center migration, CIOs as well as data center managers must pay attention to the good practices that are described below.

Plan a migration strategy

Migration of data center may be limited to part or all of the existing equipment. In fact you can exploit the opportunity to get rid of the old or outdated equipment so that it can be replaced with advanced alternatives. The Planning should be done in such a way that the new facility would have minimum life span of two years.

If you fail to properly chalk out a strategy for DC migration without paying attention to the advice by DC migration experts, your entire IT infrastructure would collapse. It is a must to pen down the strategy that addresses specific business requirements of the organization. The new data center would also have to be planned by studying new technology requirements that empower organization to face new challenges of growth and higher demands.

Layout plan of the new data center facility should be able to accommodate future growth requirements. Optimum use of available space would help save significant costs. Data center architects can provide valuable guidance for space planning.

After reviewing contracts that have been signed you can decide about the need to terminate these or continue in the new environment.

Some software providers can restrict use in terms of geographical locations. This can be a right time to get rid of some troublesome vendors. Ideally, you can explore new service providers to improve performance and affordability.

Data cater relocation is also a very good opportunity to review your existing design and plan for a more compact and efficient one. After finalization of the equipment to be moved to new site, you can plan if you should move lock stock and barrel or in parts.

Inventory of equipment

Prior to actual process of dismantling, one should refer to all types of documentation for checking if every part of different equipment is present. This should involve physical inventory checking along with actual workloads, and other aspects such as hardware components or software applications, which are present in the current location.

Adjustment of backup and disaster recovery systems should be performed concurrently. This is the right time to categorize and place backup according in cloud and on-premise environments.

Selection of right DC for migration

Reputed data center providers empower migration of onsite data centers through prompt execution. Perfect DC migration planning is backed by efficient and reliable network support. These service providers are driven by the passion to perceive clients’ businesses as their personal responsibilities.

Established Data Center migration service providers have remarkable experience of transforming hardware intensive on-site infrastructures to agile and efficient infrastructure that leverages software applications.

Their vast API and DDI resources are designed to deliver a robust platform for creating a software defined data center.

Security is at the core of data center migration and the service provider should be equipped facilitate ease of accessibility. If your business is looking forward to adopt significantly extensive services that are highly distributed, then a data center with proven capability of delivering seamless cloud connectivity is your final destination.

For Interesting Topic :

Does the provider offer data center migration/relocation services?

Colocation Hosting and Managed Hosting Solutions

A Brief Comparison of In-House Hosting, Colocation Hosting and Managed Hosting Solutions

Depending on how much scalability you need for your infrastructure, you should choose from in-house hosting, colocation hosting and managed hosting. In-house hosting as the name suggests is a state where all servers and hardware are owned and run by the client enterprise itself. So, it is in effect a standalone enterprise. Colocation hosting refers to a model where the servers and hardware which are owned by the client are placed in a third party rack space and these are accessed through remote management. Managed hosting refers to cloud or dedicated servers which are completely owned by a provider and these are leased by client enterprises.

1. Servers and Hardware Acquisition: When you choose in-house hosting, you will need to buy hardware on your own. So, you have to assess business needs and look for specifications in hardware and then get the relevant hardware. The in-house staff will configure this hardware and run the environment. This means huge capital costs for smaller businesses. There will also be extra charges for cooling and power supplies, battery systems and UPS systems, network connections etc. In colocation hosting, the staff must go to the facility for doing repairs. When location is too far away from client site, costs of maintenance are high. You may need to get more staff to do work on the site. In managed hosting, the provider is the owner of all hardware; so initial installation, configuration and maintenance are provider’s responsibilities. So, there will not be any need to hire in-house staff for maintenance. The managed hosting provider will design a system to cater to your needs; there will be charges for renting hardware.

2. Installation of Operating System: OS installation needs to be done to carry out requests made to a server. So, proper understanding of how this works is necessary for proper application deployments. In in-house hosting, the staff will set up and run the OS; they need technical expertise on this and thy conduct software updates too. In colocation, in-house staff may set up and run the OS but later remote management is conducted. Management platforms like IPLI or DRAC can be installed for this purpose. The in-house staff also looks into software updates and OS management. Managed hosting providers will set up, upgrade and load OS services, they offer managed supports and you can even upgrade to a premium managed support plan where host rectifies any kind of OS related failures.

3. Management of Applications: Here, physical security is onus of the client and not outsourced; therefore, consumer credit data have to be protected. When you choose colocation, you must ensure legal liability from the provider. Physical access to data centers has to be restricted. In managed hosting, a lot of documentation is needed for hosting complex applications. You need to ask if the host has its private network, whether your servers are hosted in a standard-compliant site, which people have access to remote server management etc. So, for all three hosting solutions, you need good understanding of both front and backend requirements of any application.

4. Networking Connectivity: In in-house hosting, the ISP offers connection to a wider Internet and also basic hardware for such connectivity. ISPs only provide the hardware for handling minimum traffic; outside of this, other internal hardware for networking has to be managed by the client. In both colocation and managed hosting, hardware is located in data center and therefore they have high-end routers and switches. The providers look after these equipments and in-house staff is spared of this task.

5. Fiber Connectivity: Fiber optic cables are preferred to traditional ones and in in-house hosting you get dedicated online access through these. Besides installation expenses, you must consider costs for municipal laws, obstructions and labor charges. IP transit providers can give services directly to client locations. In colocation, the host has multiple ISPs for delivering IP transit to clients. In managed hosting, the host offers fiber connectivity to the Internet.

6. Data Security: When you choose in-house hosting, you must buy and maintain the firewalls at virtual physical entry points in the network. So, the IT staff researches and implements firewall. In this type, internal data will not go through external networks; so it less prone to interception. In colocation hosting, security is guaranteed by host which installs and managed firewalls. In managed hosting, most of the responsibility can be given to the host. Your servers will be behind provider’s firewalls. They use many layers of threat detection. The host ensures VPN encryption, vulnerability testing, intrusion prevention etc.

7. Physical Security: When you opt for in-house hosting, you have maximum control over physical security arrangements. So, your duty is to install proper security cameras and controlled access measures. Colocation hosting and managed hosting will typically run only very well-secured facilities which can resist natural calamities and which are equipped to prevent breaches and unauthorized intrusions.

8. Power and Cooling Systems: In in-house hosting, the client must arrange for power backups and cooling systems. At times, the greater demands for power by power-hungry applications necessitate facility upgrades. In colocation or managed hosting sites, there will be redundant power supply units, cooling systems and power generators to deal with sudden outages. The staffs at the datacenters are also available 24×7 to tackle technical problems.

9. Scalability Factor: In in-house hosting, the upfront capital costs are high. Since you do not need all hardware available right from the beginning, you may not buy everything at the start. But when you need to scale resources, you will have to pay for these upfront which amount to high expenses. In colocation, when you need resources to be scaled up, you have to mainly pay for your servers instead of the infrastructure. The provider can usually accommodate the growth in infrastructure. In managed hosting, scaling costs are nominal because dedicated servers are leased by clients. You do not need a lot of capital to scale these as your host can get these arranged readily.

Interesting Topic :

Why should I choose colocation?

Key Data Center Attributes that are Capable of Evolving Businesses

Key Data Center Attributes that are Capable of Evolving Businesses

Demand for more efficient and scalable data processing resources has been exponentially growing and businesses are faced with challenges of keeping pace with diverse and more distributed workloads by adopting complex technologies. This is particularly true in case of organizations that are expanding their footprint across wider geographical locations.

Efficient workload distribution

It is found that all types and sizes of enterprises are in need of more efficient ways for distribution and control of data. It is not surprising that most of the enterprises are moving their workloads to cloud and also looking for more intensive solutions fir catering to their critical demands. In short, there is a growing need for adapting to cutting edge technologies that can satisfy complex demands.

Optimization of data distribution by building innovative architectures and highly efficient content distribution networks is the need of the hour. This also reflects in projected demand for content distribution solution that is posed to reach more than $15 Billion by 2020.

The growth in demand for CMS solutions implies that more and more enterprises from small and medium sectors have understood the importance of controlling as well as enhancing distribution of workloads across wider geographies. If you are able to find a right data center resource, then you can expect to grow your business and in case you are fortunate enough to partner with one of the best data center providers then you can definitely take your business to the next level. Ability to carry and deliver the data to the edge is a new mantra for choosing the right data center partner.

Remote distribution of data

The best approach to work with a data center provider is by way of creating SLAs that are focused at boosting your business growth and website availability. The business can grow by keeping the pace with current market trends if SLAs are designed to support business growth and to ensure efficient coverage of visitors across targeted geographies.

Agility and availability of data across desired locations can be achieved by making sure that the following resources are made available by the chosen provider of data center services.

State of the art interconnects

Integration with multiple providers of cloud solutions is an inherent ability of reputed data center services. These providers also offer array of Ethernet services and interconnects. In fact, several established providers including Rackspace, Azure, Amazon, and Internap have already integrated cloud CDN solutions with their hosting plans.

CDN services can also be leveraged from telcos such as AT&T, Verizon, NTT and Telefonica to name a few. If you wish to build your on-site CDN platform, then you need to get associated with CloudFlare, Aryaka, or OnApp to name just a few.

Whatever the approach you choose, the data center provider must be capable of working with you for achieving efficient yet economical dispersion of data that can be seamlessly cached. CDNs are much more than simple resources to transfer data across remotely located users. Your data center provider can help you explore wide range of benefits available with cutting edge CDN solutions.

You will not face any difficulty while identifying an efficient data center provider with state of the art CDN facilities. In fact, there are several service providers including Amazon CloudFront that have established their presence across continents such as Asia, Europe, and so forth.

These services are designed to cover five continents with as many as fifty-five edge locations. However, while procuring CDN services, one must make retain controls on the data that flows in or flows out. In most of the instances, local CDN management may be sufficient otherwise you can leverage REST APIs or similar methods for simplified management of CDNs. If you are using PHP, Java, or Ruby, then you will also be able to use robust management tools provided by open source code.

Optimized data distribution

Intensely distributed data workloads cannot be managed by providers with facility of only few CDN locations. You need to consider an efficient data distribution resource that is also affordable. Primary role of a CDN solution is to empower business owners and offer an excellent user experience.

You should also select the provider by understanding the nature of data that is going to be distributed. Some providers such as Yotta are specifically equipped for optimizing mobile as well as web services, while Aryaka focuses on facilitating robust solutions for optimization of WAN to boost distribution and delivery of data.

Need for efficient data centers

Data centers are mission critical resources for facilitating vital applications business tools, and user environments. Since data processing and storage requirements are poised for exponential growth, data centers will be required to deliver efficiency and economy while catering to client needs. Data center facilities will have to act as bridges between cloud services and enterprise infrastructure.

Data Centers in Cloud

Relevance of Colocation and On-premise Data Centers in Cloud Age

Cloud growth can be perceived in more ways than one. Cloud computing is growing in terms of number companies that are adopting cloud and total number or workloads that are being shifted to cloud environment from onsite IT infrastructures.

Migration of workloads to cloud

Although there is a considerable volume of software workloads being moved to cloud the onsite enterprise IT is not shrinking at the comparable rate. There is a remarkable improvement in on premise data centers’ facilities that are marked by adoption of cutting edge technologies. However, one must admit that these legacy data center infrastructures have ceased to expand in size and capacity parameters.

These observations are based on the survey and opinions of IT executives, and managers who have been assigned tasks of managing enterprise data center facilities of critical organizations including manufacturing, banking, and retail trading.

It is hardly surprising that almost fifty percent of the respondents that are operating IT infrastructure facilities have confirmed that they are engaged in upgrading infrastructures and redesigning power and cooling facilities that form the significant portion of capacity planning initiatives.

There are efforts to compensate the demand by leveraging cloud services as well as consolidation of servers. It is also worth noting that a considerable chunk of respondents have agreed that they are looking forward to build new Data Centers in Cloud

The results of these surveys confirm that in order to offset the additional demand, many organizations are leveraging third party service providers. These are the same organizations that have appreciated value of investments pertaining to on-site data center infrastructures that were made just before the beginning of 21st century. 

Data center expansion and upgrade

Thanks to cloud adoption strategies, many organizations have been able to get a bit of breathing time while handing the impact of data influx. There is considerable prudence in enhancing capacity and efficiency of the existing data centers rather than going for an entirely new data center infrastructure for catering to growing data processing demands of large corporate enterprises. In fact, a move to build large data center facility would not have been acceptable just about few years ago.

Modern IT executives are more inclined towards investing a small amount in upgrading the existing facility than pumping huge sum for creating an entirely new data center infrastructure. There is a greater need to extract as much workloads as possible from the current resources of data centers.

This explains the move to adopt colocation services, cloud computing, and processor upgrades for enabling enterprises to achieve more with less number of servers. These moves also reduce the stress on organizations to establish new sites and also save huge expenditure that is required to build entirely new facilities.

The surveys have also confirmed that there is a considerable quantum of organizations that have adopted an approach of moving lock stock and barrel to the cloud. One of the global news paper giants have begun moving all workloads to Amazon’s as well as Google’s cloud platforms from three colocation data centers.
The only exception is number of conventional systems, which are not possible to transfer to cloud and are being serviced by the colocation data center that exists only for supporting these legacy systems.

In case of one of the major technology vendor Juniper Networks, the company has shrunk its network of eighteen data centers that were owned and operated by the company to a single data center facility. The vendor has also adopted the approach of shifting majority of workloads to cloud similar to the corporate news conglomerate mentioned earlier. The single colocation facility is enabling its legacy workloads that are not possible to move to cloud.

Continuing with established infrastructure

It is also observed that instead of building newer facilities, many service providers are busy upgrading or expanding their existing data center facilities. It indicates that providers of data center facilities are reducing their expenditure for construction of new facilities but are not making any compromise with capacity expansion of their overall service offerings.

This leads us to believe that in spite of an apparent exodus of workloads to cloud, the importance of physical data center facilities has not eroded. Enterprise IT infrastructures and colocation centers are being leveraged by many organizations as established resources of managing critical and legacy workloads.

Colocation underlines the importance of owning a rack space without significant investment in on-premise facility. This can also free up IT workforce of the organization for more innovative projects. Colocation is also more reliable way to manage critical workloads.

From all these real life examples and the results of the survey we can conclude that over sixty percent of enterprises are adopting cloud computing, server virtualization, and optimized server performance to shrink its on-site data center footprint. Colocation as well as on site data centers are time tested and established resources for managing mission critical information and vital workloads.


Simplifying the Seemingly Difficult Task of Establishing Security in Public Cloud

Security related concerns continue to act as barriers for cloud adoption by Fortune 500 organizations. The major apprehensions that are related to security in cloud computing are hijacking of account information, breach of data integrity, and data theft among others.

Need to change perception of security in public cloud

These concerns are further reinforced with data breaches that have recently hit some of the important organizations such as JPMorgan, Home Depot, and Target, just to name a few.

There are many more instances that have been adding to fear of data loss in public cloud environments. In fact, large organizations are inherently skeptical about integrity of data any environment other than their own on-site data centers that facilitate robust physical control and have established a strong bond of trust.

However, with the advent of security solutions that are based on software technology, there is a considerable shift in overall perception of security as far as storage of business critical data is concerned.

Public cloud enables implementation of impregnable security measures for protection of data. Extensive adoption of software solutions has slowly and steadily resulted in shifting of security related paradigm, which was focused on physical security provided by on-premise data centers.

Organizations that are focused on IT and security must get accustomed to the fact that they will not be able to sustain direct control over cloud’s physical infrastructure. It is prudent to leave the task of worrying about security of their apps and other digital assets in cloud environment.

The contemporary status of data is influenced by extensive distribution among millions of visitors via broad array of cloud service models including IaaS, SaaS, and PaaS in addition to private, hybrid, and public cloud. The challenges to data security can be attributed to shifting of data from traditionally secure on-premise infrastructures that characterize physical boundaries to highly extensive cloud environment that is marked by logical boundaries.

Significance of data-driven cloud controls

Implementation of robust security controls for data center layers is on topmost agenda of Cloud Service Providers. There has been a remarkable progress in logical integration of software with visibility tools, host based security mechanisms, logging solutions, and security controls for commonly deployed networks.

Notwithstanding these best practices, a vital security gap continues to be a matter of concern for cloud service providers. Data oriented security controls continue to dodge experts who are focusing on protecting the data no matter where it resides. Security measures in cloud must act independent of the underlying cloud infrastructure and should adopt a data oriented approach.

Security policies for cloud computing environment need to be designed for enabling customers with direct control and the security measures should be independent of data location. Considering the exponentially growing volume, there is hardly any point in banking on perimeters and network boundaries.

It is therefore not surprising that a large number of enterprise customers are looking forward to mitigation of security risk by compartmentalization of the attack surface so that even the memory of a Virtual Machine that runs on a hypervisor is seamlessly protected.

Sharing security burden

The complexity of security in a cloud computing environment is compounded further due to e presence of a shared responsibility model of cloud providers. The model expects cloud users to look after the security of their applications, operating systems, VMs, and the workloads that are associated with these.

Cloud service provider’s responsibility in a shared security model is only restricted to securing physical infrastructure and not beyond the level of hypervisor.

Establishing new best practices

This kind of a shared security model can create havoc with mission critical data of the organization and force the company out f business in matter of hours as was witnessed during the recent Code Spaces attack.

There is an ever growing need to establish security measures that are focused on data to free up enterprises from carrying the burden of securing apps, data, and workloads that are running in a shared security environment.

The situation demands for development of new best practices to design a data-centric security model, which can provide capabilities as mentioned ahead.

Cloud customers should be able to operate independent of Cloud Service Providers by enabling an isolated layer of virtualization that has ability to separate data as well as applications from other tenants and the Cloud Service Provider as well.

The new boundary of trust must be associated with encryption in order to ensure that the data is consistently accompanied by controls and security policies. This also obviates the need for customers to adhere to security measures designed by Cloud Service Provider.

Performance of application must not be hampered while tightening of security measures is being executed. This calls for the need to use advanced cryptographic segmentation and a high end key management system that offers exceptional security. Similarly, security measures should never become a hindrance in deployment of applications.


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Tips for Choosing a Quality Data Center

Tips for Choosing a Quality Data Center

When you are looking for a reliable data center there are some important factors you should consider. This is because the choice of a data center is a rather crucial decision for any enterprise. The data center will be responsible for storing your mission-critical data. You will be placing your trust in the reliability of a third party facility which will make sure your data is safe. Data center proves to be useful for all kinds of businesses, small and large. For the smaller businesses, it is a cost-effective solution because maintaining a private data center is an expensive proposition. For larger businesses like banks, government agencies or top-tier companies, choosing a quality data center is critical as it will be storing sensitive data. So, you can use these following tips to make sure your data center is just right for your buisness.

Tips to choose a reliable data center:

1. To begin with, the reliability offered by your data center provider is one of the first things to look into when signing up for colocation services. When you own a large business, unplanned power outage can prove disastrous for your sales and revenues. You cannot afford to experience downtimes at all. Network downtime can turn out to be very expensive; this means that you must choose a data center which guarantees high server uptime. Choosing Tier IV category data centers may be the best decision as these are more fault-resilient compared to the other categories. The Tier I, for instance, is best suited for smaller businesses.

2. To choose a data center wisely, you need to look at the location of the facility. Ideally the location should not be so far away that you find it difficult to send your IT staff to carry out repairs and upgrades. Besides, the data center should not be in a region which is prone to calamities like earthquakes or floods. You have to make sure that there are no latency problems and your data center has the connectivity it needs to cater to a global audience. You may find choosing data centers in ecommerce free-fiscal regions a good option because there are low profit taxes here. This will mean cost savings for your business.

3. The data center you choose has to be scalable to be able to accommodate your demands for additional resources. It should allow your business to grow seamlessly. So, there should be flexible plans to cope with the changes in demands. Whether it is higher bandwidth or more space you need, your data center provider should be in a position to make these available to you.

4. Another important factor to consider is connectivity; you data center should be carrier-neutral. This means that you should be able to choose from multiple global carriers. You will enjoy the freedom to choose a network provider which will suit your requirements and operations the best. When a data center has a huge network of submarine cables, you can get high connectivity options.

5. Besides considering the location, it is also important to look at the security measures a data center offers. A data center you choose should have robust and stringent data security measures. The provider should be able to clearly outline its security policies and protocols. You must know how they will handle security breaches, if any. You need to find out whether it allows anyone to access data or there are provisions for authorized access only. Investigating these factors in advance is imperative if you have to choose a data center wisely. They will determine whether the facility has the infrastructure and rules to meet your data security and privacy requirements.


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Key Trends that will Influence Data Centers in 2017

Key Trends that will Influence Data Centers in 2017

There are many factors that are pushing data centers to perform optimally including greater flexibility and scalability with higher cost efficiency in terms of data center building and operation costs. In fact, the modern data centers are expected to provide features of public cloud solutions such as AWS.

Availability of wide spectrum of technology fronts has further complicated alignment of cloud strategies and on-site infrastructures such as data center facilities in order to design the most gratifying way for establishing data environment that can cater to needs of next generation users.

Data centers are bound to be transformed into entirely new entities in terms of functions as well as form by incorporating broad array of cutting edge technologies that used to be part of sci-fi movies just about a few years ago. As far as 2017 is concerned, we can anticipate the following trends to influence data center operations.

Emergence of HCI and SDCC

There is no doubt that hardware will provide a fundamental support to data center infrastructure. Yet, it will not be essential to have a huge and sprawling facility to house the hardware resources.

There is an accelerated trend of transforming data centers into Hyper Converged Infrastructures (HCI). These modern IT platforms are governed by deployment and management of modular components to support storage, networking and compute.

Emergence of Hyper Converged Data Center shifts all operations that surround integration, provisioning, and management to software layer to gain amazing flexibility that is ideal for supporting significantly diverged and exclusive needs of applications.

In addition to this HDCC helps boost creation of end-to-end Software Defined Data Centers by enabling implementation of self defined operating environments. This will help extension of data center functionalities into broadly dispersed cloud areas with considerable economy.

Broader interoperability between clouds

Majority of enterprises are forced to deal with several workloads on different clouds which can only be compared with jugglery and can lead to issues of silo laden IT infrastructure that may disrupt performance and productivity of on-site data center facility. This can only be countered by development of interoperable ecosystem that allows wide coverage of geographical area by integrating functionalities of private, public, and hybrid clouds.

It is easier said than done, since it calls for a greater level of orchestration throughout the data stack and needs to span end-to-end infrastructure for covering a myriad of third party applications.

Modern data center facilities must be able to focus more on needs of end users rather than technology in order to achieve seamless coordination between technicians and business managers.

Expansive data edge

There has been a tremendous growth in data generation due to emergence of Internet of Things that will force data center edge to include a huge gamut of interconnected devices spewing out volumes of data that need to be incessantly monitored for security by folding into extremely dynamic data flows.

As the data environments spreads to encompass a broad spectrum of consumer goods including air conditioning systems, refrigerators, and washing machines, data centers will have to gear up for meeting new challenges of data management in addition to the existing issues of governance, security, and compliance.

This calls for an urgent shift to container oriented micro-services for dealing with host of minuscule yet vital functions for economy that is fast paced and service oriented. Shifting of micro data centers in proximity to users will facilitate precise and real time results.

Autonomous system

Although, modern organizations are used to automation technologies, system autonomy is going to prove as a real game changer. It is powered by sophisticated technologies including machine learning, artificial intelligence, and many more leading edge technologies.

System autonomy facilitates systems to get educated and then adapt to changing environments with negligible or no intervention.

The new phenomenon is not directed only at reconstruction of IT processes, but is targeted at redefining the entire gamut of enterprise resources and functions spanning through product development to customer gratification.

Needless to mention, implications for data workforce are not going to be palatable. System autonomy has potential to transform data infrastructures and the way these are operated for maximizing productivity.

Proper and correct implementation of system autonomy for autonomy for well qualified objectives will lead to greater cost efficiency and higher level of profitability. Organizations can set their eyes on new and emerging markets by developing advanced business models.


The common thread that runs through all such trends is the assurance of achieving more by doing less. This has been expected by front office from enterprise IT infrastructure for a long time.

Since the advent of mainframe computing, there has been a significant level of physical restriction which has stunted growth of the entire gamut of IT capabilities.

By establishing a smarter and highly agile infrastructure, enterprises will be posed to scale great heights of scalability to compete in the new era of digital economy.

Colocation Server

Which is more Cost-Effective: In-House Servers or Colocation?

The debate on whether outsourcing your data center is a more cost-effective option than maintaining a private data center is very relevant and deserves to be addressed. For the smaller businesses, maintaining their own data centers may turn out to be a very costly proposition. They prefer to shift their servers to someone else’s rack space while the larger businesses can afford to build and maintain their own private data center. When you choose colocation, it is like choosing an all-inclusive plan where the provider will offer you the hardware and equipments, network connectivity, bandwidth, cooling and air-conditioning systems, security and support.

Finding out whether colocation or an in-house data center is a better option:

• As far as connectivity costs are concerned, you will realize that the reputed colocation hosting providers have data centers which are carrier-neutral. This means that network connectivity will never fail. The smaller businesses typically must sign up with one carrier, regardless of what the charges are. You may however require higher data transfer speeds but there are providers which may not be able to guarantee high bandwidth. To avoid bottlenecks from occurring you will find that colocation is a better option because a residential connection will not suffice in such cases.

• You will need rack space for your servers and enough storage area for the hardware. You will also need uninterruptible power supply backed up by very powerful generators to take care of outages. Businesses will also need other arrangements like battery backup for their routers and switches so as to avoid downtimes. When you maintain an in-house data center, you will need climate controlled environments. This can be guaranteed through various air-conditioning systems which have to stay independent so that they do not get affected when there is a shutdown. Moreover, these units should be situated far away from possible leaks and condensation. This amounts to high maintenance costs when you are planning on owning a private data center.

• As far as security goes, in-house servers are usually kept in climate controlled locked rooms which can be accessed by only a handful of people. Ideally, there should be multiple security layers for protection of sensitive client data through alarm systems, CCTV cameras, on-site surveillance and biometric scanners. Besides physical security, you will need robust arrangements for virtual security. For this, you need effective firewalls to safeguard the network from cyber attacks and hacking attempts. The numbers of DDoS attacks each day is constantly on the rise and this amounts to huge losses in revenues. A colocation provider can take care of security arrangements for you by introducing many security layers for proper data protection against possible breaches. There are measures like 24×7 CCTV monitoring, bulletproof mantraps, physical fencing with dual-factor authentication etc. When a business must conform to HIPAA rules, such security measures can ensure smooth compliance.

• Colocation is also cost-effective compared to in-house servers because it allows businesses to scale up and down their resources according to demands. You can easily adjust the amount of bandwidth or server space you need and pay only for what you are using. So, you do not have to spend a fortune of building new facilities.

• When you have an off-site data center, your data is protected even if there is an outage. This means that there will not be any downtimes and no data loss as a result. The co-located equipments will continue to run because of the colocation provider’s redundant network connectivity and redundant power supplies.

• Colocation appears to be a far better choice for saving costs because it gives businesses a predictable model for their operational costs. It can lower management costs and guarantee higher stability. Colocation will do away with upfront costs which are needed to build any new facility. When you have your own data center, it is necessary to keep pace with advanced technologies for enhanced site performance. Besides, businesses will also need to spend for backup generators, UPS or uninterruptible power supplies, network connections etc which can now be handled by the colocation hosting provider. This cost savings helps businesses to allocate these funds in other areas while their servers are maintained in a state-of-the-art secure facility.

• Finally, with expert assistance, troubleshooting of server related problems becomes easier and faster. The colocation host will provide remote technical supports for the operating systems, hardware, network equipments etc and your in-house IT teams can then concentrate on other tasks for development of the business. They will not have to worry about the day-to-day maintenance of the servers.

These arguments suggest that colocation is perhaps a better choice for the small and medium sized businesses which do not have the funds to maintain a private data center. For them, it is economical to spend money on buying colocation hosting solutions.

Role of Indian Government in Securing Data Centers in Digital India

Among all emerging IT markets of the world, India is one of the top ranking countries with an extremely favorable environment for investments related to IT industry. There are multiple factors that qualify India to be a favored IT destination including positive demography, encouraging policies of government, and sound managerial capabilities among others. No wonder, there is has been a remarkable growth of data center facilities in India.

Reviewing data center development in India

Global research firms including Gartner have offer encouraging predictions about establishment of data centers in India. In terms of revenue spending it is estimated that it will be growing at the rate of around 6 percent.

The trend of data center development in India is nothing but a reflection of what is happening at global level. It is observed that businesses are going all out to acquire data management capacities to handle huge volumes of data that is being generated by IoT, smartphones, tablets, and many other factors.

Growth of data generation can also be attributed to proliferation of online shopping. The new trend is providing extremely useful opportunities of data analytics to understand market trends, buying behavior, and consumer demands.
In order to survive in modern and technology driven market, every enterprise, irrespective of its size must have access to data center facilities. The new technology trends of cloud computing, security, and analytics make it imperative for every business to be ready with the basic facility of data center infrastructure.

Drivers of data center growth

Need for management of digital information was felt way back in 2005, thanks to emergence of paperless offices. Data centers assumed significance for storage and processing of digital information. This was further boosted by proliferation of internet connectivity across the subcontinent and availability of wide spectrum of internet enabled devices that started spewing out volumes of data that needed to be handled, stored, and secured in data center facilities.

Government of India has also understood significance of data centers and has established multiple data centers under the aegis of National Informatics Center. Emergence of digital organizations and software defined business processes has fuelled development of data center industry. This has also attracted major global players including Microsoft, Google, and Amazon Web Services who are having concrete plans to invest in building of cutting edge data center infrastructures and cloud hosting services in Indian subcontinent.

Growth of data centers at local levels can be attributed to revelation by Edward Snowden who encouraged serious debates regarding need for regulations and data security policies at local level. The concept of data localization has been a driving force in development of data centers in every country including India.

Indian government is planning to bring in several legislations on data sovereignty. This is going to force multinational companies to open local facilities of data centers.

This calls for a robust and comprehensive security policy and a strong legislation that can act as a deterrent for prevention of cyber crimes and data theft. Government of India needs to look into factors that can impact data center security as well as influx of IT investment in response to the ambitious programs such as ‘Make in India’ and ‘Digital India’.

Key impediments and roadblocks

Every enterprise needs to focus and work on adoption of energy efficient technologies, optimum utilization of space, maintenance of SLAs, skill development, and cost efficiency to name just a few. In addition to these factors, security has been one of the most debated issues and can be a major hurdle in adoption of data virtualization or cloud computing.

Need for legislations covering data privacy

Overseas IT investors need to be assured about data safety by designing and implementing stringent laws to protect data. Indian government should encourage companies from abroad who have already invested heavily in India to fulfill their outsourcing needs. With proper data protection regulations in place, these organizations will be able to freely move their data in India without need for masking their data to obviate data infringement or tracing.

Significance of data center security regulations

Although, data center security and associated legislations are viewed as impediments for development of overall data center industry, these factors are also responsible for creating a great opportunity of helping customers manage security compliance issues.

It is expected that the government will introduce regulations for implementation of firewall safety to prevent hackers from attacking data centers. Localization of data has made it mandatory for companies to abide by regulations of the country where their data resides.

Cyber security regulations and policies of India need to be aligned with global perspective of data security. On its part, Indian government has already introduced several regulations as well as amendments in this regard. These are soon to be followed with data security and privacy laws. It is only a matter of time before we can taste the fruits of Digital India initiative.

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Understanding Multiple Aspects of Data Centers In View of Big Data

The impact of big data can be understood from the fact that ninety percent of all data is produced in the span of last two years. It is predicted that velocity of data generation will continue to accelerate further in near future. In view of this data centers need to gear up to handle the massive data explosion.

Data centers play vital role in handling all types of data storage and data handling workloads. The looming challenge of big data must be effectively handled by data centers that need to improve data center management tactics. We need to appreciate and analyze impact of big data on various aspects of data center capabilities.

Capability of data center’s electrical infrastructure

Every data center heavily relies on the capability of its electrical infrastructure for managing incremental volumes of data. It is vital to understand potential of the existing electrical infrastructure in order to assess the capacity of data center to face future challenges of big data.

In almost all cases, electrical infrastructures of data centers are not geared up to deal with challenges of big data. This underlines an urgent need to upgrade existing infrastructure or to deploy new and high performance electrical infrastructure facilities.

In view of this several organizations have initiated procedures for estimating sustainability of their current capacities and preparing expansion plans for accommodating future needs of electrical infrastructures. Future data center facilities need to have enhanced data management capacities as well as reliability while handling such excessive workloads.

Although, big data may not have a direct impact on the power consumption aspect of data center, the amount of power consumed by data centers that are involved in handling big volumes of data is significantly more in comparison with ordinary data centers. Expansion of electrical infrastructure results in multifold increase in power demand. Naturally, the costs of data center operations also multiply due to greater power consumption. This explains importance of cost planning while preparing to handle larger data workloads due to emergence of big data.

Data center managers are also required to consider data center location while estimating costs. As per the existing trends, data centers are either built or shifted to locations that are away from major cities. Amount of power consumed for data center cooling contributes to almost 40 percent of the total power required to run data center. This also explains why majority of data centers are coming up in the northern hemisphere which is relatively cooler.

Impact on storage infrastructure

Storage infrastructure is another component of data center that is expected to be influenced by big data. The existing data centers are designed to handle relational data and the challenges of big data are going to add structured data, unstructured data, and semi-structured data to underline need for enhancement of storage infrastructure of data centers.

These new data center infrastructures will need to accommodate new features of big data including variety, veracity, velocity, and volumes. This is certainly involver more complex storage needs and the existing data center must pay attention to these features while developing new storage infrastructure.

New traffic patterns

In addition to the huge data volumes and variety of other features of big data, data centers should also be able to handle multiple sources of data. There are also different formats, and volumes of data are to be considered. In order to address demands of traffic patterns of big data center engineers are contemplating about revolutionary designs and their deployment methods. In order to acquire compatibility with new traffic patterns and types of data one must pay attention to the storage architecture of data centers.

Data center security

Big data explosion is driving a big change in multiple aspects of data centers including data center security. Since big data refers to huge volumes of data from variety of sources, security of data storage gains prominence. Obviously, security of big data is another overwhelming aspect of its impact on the operations of data centers.

Most of the data has extreme importance in terms of analytics and organizational information. Data centers are supposed to implement high end security measures to protect data at various levels including network level, application levels, and storage level. Appropriate and comprehensive security planning is essential for mitigation of threats from all quarters.

Impact on data center network infrastructure

We need to accept that the existing data center inks are based on Wide Area Network with moderate requirements of bandwidth. This arrangement of network suffices the purpose of applications that were originally designed to interact with data centers only with help of requests generated by humans.

The inbound bandwidth requirements will exponentially multiply with the huge data volumes coming in from big data sources. Obviously, bandwidth requirements of network will significantly increase and data center infrastructures will have to be upgraded or modified for supporting greater volumes and velocities of big data.

Big data is going to influence almost all aspects of data center infrastructure across the globe. The most significant challenges will be to accommodate rise in power and cooling requirements. This explains the need to design future data centers by considering challenges of big data.


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