Author Archives: Rahul Singh

Amazon Web Services

Top Reasons Why AWS Cloud is More Secure than On-Premise Configurations

There has always been a debate when businesses have decided to leave an on-premise server to move onto a cloud environment. This debate has only got further intensified whenever the questions of security of AWS and other cloud providers like it are brought up. When you have an on-premise infrastructure you can enjoy a better control over it. You have a lot of confidence in the security being air-tight since there is no access from the outside. Businesses usually end up blaming a cloud hosting provider whenever there is a security lapse in the public cloud but in most cases, it is a faulty application which makes it vulnerable and compromises security. In this regard one can safely say that the AWS offers much better security than traditional on-premise infrastructures.

Reasons why the AWS offers higher security than an on-premise infrastructure:

  • Perhaps the biggest benefit whenever you store data in the cloud using the AWS is the enterprise-grade security and encryption you can get. When you have an on-site server you are expected to set up firewalls and encryption software. Not only will you have to deploy these; you will also be expected to run these. But, this is likely to escalate costs and this expense is over and above the costs which you must bear to run the site in the first place. However, if you choose the AWS Cloud, all security protocols or encryption techniques are built into its architecture. So, you simply have to pay for the computing time and space you need. You are free to use the provider’s encryption and security systems without paying anything extra.
  • Because the AWS is in charge of security of client data, they will make sure it is duly monitored and any suspicious activity detected at the earliest. There are special tools which enable the users to track everything that happens in the AWS environment. Users can also install various alerts to notify themselves of the activities which are not according to set norms.
  • The AWS cloud will also offer many options to move data from an on-premise infrastructure to the cloud. This transferred data is then secured via TLS encryption. Users may make use of multiple private clouds so that they have better controls over the virtual environments, including IP addresses, route tables and network gateways. For instance, the Amazon Snowball is an external hard drive with massive capacity for transferring the whole data through hardwired connections. This data is couriered to data centers where the internal staff will then shift it to the cloud. Such connections are much safer than any in-house connection.
  • The AWS is better than an on-site infrastructure in terms of security because it has been made to comply with norms like HIPAA, PCI etc. So, it was designed to comply with government rules and industry practices. Besides, the AWS also offers many tools which can protect data stored inside the cloud. There are even reporting tools, which will show the regulators whether the data complies with rules, or not.
  • Replacement costs of AWS vs physical servers are much less than if you were to maintain an on-premise infrastructure. Businesses will be replacing their n-site systems maybe once in five years because beyond this time limit, the server will not function optimally. Although cloud services may have recurring costs, replacement costs are much less when you consider the long term profitability. The AWS already has a staggering infrastructure and costs of provisioning new accounts are nominal. So, the AWS customer will actually be paying much less compared to what they would for other services. Even the AWS Marketplace will offer intuitive products which are charged on hourly basis and there are no upfront charges.

So, to sum up, AWS has made it much more economical and safer for the small or medium sized companies to run smoothly because of their high end services and feature-rich plans. Earlier, such features could only be afforded by the big businesses. Security, for example, has many key implications and it is usually a weak security system which makes businesses favor on-premise structures to the cloud. But the AWS can provide almost the same enterprise-grade features which an on-site structure can offer. And it provides these features for both small businesses and Fortune 500 firms alike.

dedicated or cloud hosting

Should Your Business Choose a Cloud Server or Dedicated Server?

Whether you should sign up for a cloud server or a dedicated server is a critical decision and one that you need to make after a lot of deliberation and analysis. Choosing the right web host can be the key to making your business successful. No matter what the hosting plan you have chosen, the ultimate objective is to identify a plan which can offer you a fast performing server so that your customers will find your site up and running 24×7. Even a second’s lag in page-loading speed of a site can cost a business nearly 7% of its clients. Today, businesses seem to be facing a choice between signing up for cloud hosting services and dedicated hosting. The truth is both these hosting solutions are perfect for businesses, which get a lot of web traffic but you, need to consider many factors to be able to make the right choice.

How does a cloud server and a dedicated server work?

The cloud server is a virtualized server and businesses can expect to get computing resources from a huge resource pool that is powered by multiple servers interconnected with one another through a network. Virtual servers can be deployed very quickly and dismissed just as fast. So, these servers are deployed whenever there is a need for them and they do not need in-depth hardware modifications. A dedicated server, on the other hand, is a single server which is dedicated exclusively for one client enterprise. So, all resources belonging to that server can be enjoyed by that specific client alone; there is no need to share resources with anyone else.

Hosting servicesWhat are the similarities between cloud and dedicated server hosting plans?

With both dedicated and cloud server you can store data, receive requests for data, process data and return information to users requesting for it. Both can handle very large volumes of incoming traffic without experiencing frequent bottlenecks, lags and downtimes. When you sign up for both dedicated hosting services and cloud hosting, you will not need to worry about data security. Finally, both these hosting solutions can guarantee stability for a wide variety of applications.

What are the key differences between dedicated hosting and cloud hosting?

Whether you should choose cloud servers or dedicated servers will actually depend on your specific business needs. You must evaluate the distinctions between these two types of servers in terms of factors like scalability, administration, migration, functions and prices.

– There is no arguing the fact that a cloud server is available at all times as there is no single point of failure. In case any one of the servers in the cluster gets overloaded, another server on standby will take over so that there is zero downtime. You can therefore enjoy maximum network uptimes for your applications and websites. However, when you choose a dedicated server, there may be risks of downtime or hardware crashes as there are no other nodes to share the workloads.

– When you sign up for a cloud server you can scale up and scale down the resources like memory, storage, processing power, bandwidth etc easily. However, with a dedicated server there will be strict specifications and resource scaling will take a while.

– When you use cloud servers you will need to put your faith in the cloud services provider for deploying robust security measures to protect data. These cloud providers will do so through encryption, firewalls, dedicated IT supports and efficient backup recovery solutions. In dedicated server hosting, on the other hand, you will have to deploy all these security arrangements to monitor server resources when you sign up for unmanaged hosting plans. You will also be expected to carry out all the necessary upgrades to secure critical business data.

– Perhaps the biggest benefit of choosing a cloud server is cost effectiveness. Most providers follow a pay-as-you-go model where clients only have to pay for resources, which they will be using, and nothing extra. But, with dedicated hosting, you have to pay a hefty price for features which you may or may not use. Dedicated hosting plans will be billed every month and you must pay the exact same amount each month, regardless of resources you really use.

– As far as control goes, a cloud server will not be able to offer you total control over the data and you will have to accept offering by your cloud vendor, even if these are limited in nature. In dedicated hosting, you have root access to the server; you get to enjoy total control over it and you are free to add programs, custom software etc to improve its performance.

So, to sum up, whether you should sign up for a cloud or dedicated server will largely depend on your business needs. More and more companies are preferring cloud servers as this gives them the opportunity to combine workloads in one hardware platform. So, businesses get to cut down on capital and operational costs. A dedicated server will offer access to performance and this may be a deciding factor depending on your workloads. Using a hybrid cloud hosting approach, businesses may run computing-intensive processes on dedicated hardware.

In case of any hosting requirement, you can easily contact us for Hosting Requirement.

gaming dedicated server

Reasons to Use Dedicated Servers for Gaming Purposes

When you think of online gaming, you have to realize that the dedicated server is the king. In online gaming, every second counts and developers are keen to have dedicated servers instead of a P2P or peer-to-peer network. The latter was responsible for causing lags which can make your gaming experience miserable. When you sign up for dedicated servers for gaming, it can be the way to enhanced site performance and high data throughput. This would automatically mean excellent customer feedbacks.

Any user or client, whether it is external or internal to your company, is not going to be happy on experiencing poor site performances on a regular basis. They will want services which can guarantee superior site performance. Even workers in a company which is continuously evolving will start to adopt technologies on their own faster and this triggers the problem of shadow IT. This becomes the main choice of a company where the IT is not capable of doing its job.

So, in shadow IT, which is a growing issue in most businesses, the teams dislike some current solution. Therefore, they adopt another solution which can do that job better. This may range from adopting new database tools to even new server technologies. This is why when you think of server technologies or when you plan upgrades it is best to choose dedicated servers over which you can enjoy higher controls. Moreover, a dedicated server will guarantee better performance. Whether you sign up for managed or unmanaged solutions, you will get enhanced business performance from dedicated servers. Even if you steer clear of virtualization you can own a dedicated server which will assure you of the best possible outcome for your site. This is exactly why gamers are so keen on using dedicated hosting servers.

gaming serversThe main reason for the switch from a P2P connection to a dedicated server for gaming is to handle the huge traffic which is common for many of these online games. Incidentally, for the MMO or multi-player online games this is most vital because such games will have hundreds of gamer playing simultaneously. So, when traffic to a gaming site grows, just as in the case of eCommerce stores, you begin to feel the need for dedicated servers. If the site cannot cope with the traffic spikes, it will eventually crash. For instance, there had been several complaints about lag time among players of the game Call of Duty: Advanced Warfare. When this new game was launched the developers had assured the people that they would be using dedicated servers for getting the best possible performance. However, in reality, they used another kind of server too which allowed some players to host part of this game from their own systems, giving them an unfair advantage. While dedicated servers may be more expensive than the rest gamers are in no mood to go back on their demands for these servers.

How to choose dedicated servers for gaming:

– Your server needs will change depending on the kind of online games you play and how often you will play those. It is advisable never to settle for the cheapest options because these may compromise on quality of services. You must definitely look for a dedicated server within your budget; you however have to ensure that it offers you the specific features you need like dedicated round-the-clock supports and uptime guarantees. It is perhaps better to pay more to get a server which has the capabilities to serve your gaming needs.

– When you choose dedicated hosting for gaming purposes, you must ensure there are no hidden fees. The basic package may not include all the features you need for your gaming. So, you should ideally do some research beforehand to know what features you will need and whether you must pay extra for these. For example, there are some hosting companies that may charge you monthly management fees while there are some which may ask for installation fees.

– Customer support is one of the most important things to consider when choosing a dedicated server for gaming. You should ideally be able to get technical supports any time you need them. This is particularly necessary when you play online games at night.

In this way, with the number of online gamers on the rise, the demands for scalable and robust dedicated servers are also on the rise. Gaming is no longer confined to a handful of people sitting at their desks with their PCs. It is now open to millions of people all over the world who are picking teams and competing against one another. To handle this huge traffic loads and data usage you will need specialized machines or dedicated servers. The latter have practically taken the gaming world by storm. They have the architecture, flexibility, scalability, supports, high speed and optimal performance which any high traffic site will need.

In case of any hosting requirement, you can easily contact us for Hosting Requirement.

aws

Costs of AWS vs. Physical Servers

Many businesses feel that using AWS cloud solutions will be the best fit for all their infrastructural needs. The AWS is undeniably a leading cloud platform which has been widely accepted by most businesses, but the truth is that there are many more in the market which offer much cheaper solutions. Moreover, many of these affordable alternatives may actually prove to be better for certain businesses. This is true as there are many businesses that are not being able to use the AWS cloud services properly or they fail to extract the best out of AWS.

– According to studies of costs between signing up for AWS cloud solutions as against standard servers it is seen that the AWS on-demand instances have been almost 300% costlier than if businesses had used traditional servers in those cases. Moreover, the use of AWS Reserved Instances has also been found to be about 250% costlier than if you were to get physical servers instead on contractual basis for the same period of time.

– Another key difference between the AWS cloud instances and physical servers are that the dedicated hosting providers of AWS services are far costlier than hosts offering dedicated hosting. Incidentally, costs for the cloud servers are as high as 450%.

– Besides the rates of cloud hosting services offered by cloud vendors, the costs of bandwidth or rate of data transfer on the cloud is much more expensive. This automatically implies that workloads which have higher bandwidth needs will turn out to be very costly. When you sign up for dedicated hosting plans from a host, you are likely to be allotted about 10TB along with a dedicated server. When you compare the costs of getting this with a cloud server, you will see that it runs into nearly 700 pounds a month in the AWS for the same amount of traffic. This is why when you need only a handful of servers for your business it is better to go for the cheaper providers in the market.

Aws_Migration
– When you invest in AWS spot instances or pre-built physical servers costs are somewhat at par. The outcomes depend on prices of resources and availability of resources. Usage costs of Amazon EFS for storage for a single month would be about 131.79 pounds for 1100GB while for a NAS server it would be about 120 pounds for 14TB. So, the latter can offer almost 13 times greater storage at far lower costs.

– When you compare the costs of running traditional dedicated servers which use MySQL with AWS-managed RDBS, you will see the costs are almost six times lesser when compared to running databases in AWS.

– These comparisons between physical servers and AWS servers help us understand that the AWS instances are best suited for cases which need multi-region redundancy and resiliency. These will have minimum resource needs because they will reduce management overheads. So, any small but complex hosting platform will become more affordable on AWS.

– The AWS comes up with proprietary solutions which can be of much use to application developers. They cut down the requirements for huge amounts of infrastructure. But when signing up for the trends in future for public cloud solutions, one must take into account factors like vendor lock-ins, disaster recovery plans, and data accessibility etc.

So, we can see comparable infrastructural cost differences between the AWS instances and the traditional servers. Most of the costs are seen to be higher on AWS cloud. This high cost can be justified by the fact that clients subscribing to AWS will not need support at all. However, this notion is not completely true. Support is definitely needed, even if it is acquired in a different way. For instance, you cannot completely cut down all your IT staff members when you move to the AWS. This is something which you cannot do simply because you will need the staff to manage your internal users. They will also work with app vendors to render app supports or fixes. This is carried out side by side with environment and infrastructure maintenance tasks. When all apps are shifted to the AWS, all the maintenance responsibility is not automatically shifted. The environment continues to be monitored as it must keep running smoothly. In fact, the internal staff will now need to know how the AWS works. When traditional servers are shifted to AWS instances, you will continue to need support and monitoring services as before.

In short, the staff continues to be important as always; they just work in a different way and they learn how to do things in the AWS fashion. This AWS approach is easy to learn when you enroll for certification programs. The bottom line is that adopting AWS is not a lightweight move as it is believed to be. At times, when support is needed, the AWS is found to be lacking and companies have to get third party advisors which in turn escalates the costs. This proves that the idea that AWS costs are always cheaper and they do not need support is not entirely true.

In case of any hosting requirement, you can easily contact us for Hosting Requirement.

SAP HANA provides customers with a variety of configuration and deployment choices to meet every businesses requirement, expectations and budget. If you are planning to switch over to SAP HANA, here are a few brilliant tips that will give you the brightest idea to implement for the most cost-optimized HANA landscape configuration. Tip #1: Sizing of your Application Proper sizing of the SAP HANA server is very crucial. Under sizing and oversizing both can create complications as for having a under sizing server, one might have performance based issues and for having an oversized server, there will be a need to pay extra for capacity. SAP Quick Sizer tool is a very quick and smooth way for users to determine the memory, CPU and SAPS requirements for a smooth running of their workloads on SAP HANA. Find below some tools and resources to use to perfectly size the different HANA workloads, including: • Sizing New Applications, ” Initial Sizing” section – It basically offers an overview of the some important steps and resources for perfectly sizing stand- alone HANA, SAP Business Suite on HANA, SAP HANA Enterprise Search, SAP NetWeaver BW powered by SAP HANA, Industry Solutions powered by SAP HANA, , along with other sizing guidelines for using HANA as a database. • Migration or switch over to SAP HANA Applications, “Productive Sizing” section – It helps to determine HANA system needs, requirements and contains the sizing guidelines in one’s existing applications to HANA. • Sidecard Scenarios Sizing section – It describes the process for sizing in order to run SAP HANA Enterprise Search, CO-PA Accelerator, and other SAP Applications on SAP HANA in a sidecard scenario. Tip #2: Determining the most suitable deployment model for Data Center infrastructure strategy The SAP ecosystem provides a useful range of HANA appliance reference architecture models which are optimally designed and manufactured to satisfy each deployment use case. It is possible for customers to select from more than 400 SAP HANA certified configuration systems, which are offering unprecedented scalability and fine-grain memory sizes ranging from 128GB to 12TB. It understands that each user’s set of requirements, needs and expectations are specific and different, so there is a list of deployment options for SAP HANA to meet your every business need: 1. By leveraging preconfigured hardware set-up and preinstalled software packages fully supported by SAP, the appliance delivery model provides an easy and fast way for deploying SAP HANA. 2. Tailored Data Center Integration (TDI) deployment model offers SAP HANA clients with two features i.e. increased flexibility and TCO savings by enabling them to leverage their existing hardware components and operational processes. 3. Clients which are standardized on having their Data Center operations virtualized can easily leverage SAP HANA on VMware deployment model . 4. Eventually, customers can choose the SAP HANA Enterprise Cloud service. This is a fully managed cloud service which allows you to perform functions like to deploy, maintain, integrate, and extend in-memory applications from SAP in a private cloud environment, along with providing cloud elasticity and flexibility with subscription based pricing. Tip #3: Carefully opt for a scale-out deployment model, explore options first for scale-up. The concept behind a scale up tells that opt always for a scale-up initially and go to scale-out only if it’s needed. Customers usually think that HANA’s high compression rate combined with its extremely high scalability (up to 2TB – OLAP and up to 12 TB – OLTP) will brilliantly satisfy their business requirements. Keep these points in check the benefits of scale-up before you decide to scale-out: • If you opt for a scale-up first, there is single node model, which means you will have 1 server (minimal footprint), 1 operating system to update, and 1 box to operate along with power supply. • With the last option which is scale-out, there is multiple node approach –which means you not only require more room and more power in your Data Center to deploy multiple server boxes, but also your operational and management costs for cluster systems will be comparatively much higher than for the single-node systems. Although, it’s true, scale-out provides more hardware flexibility than scale-up and requires less hardware costs initially, but however, it requires more upfront knowledge about data, application, and hardware than scale-up. Tip #4: Complete understanding of extra options for reducing the cost of your non-production systems Recently, SAP has made some additional steps to further relax and make hardware requirements flexible resulting in potentially new cost savings for customers. Sincerely review SAP HANA TCO savings for determining the most cost-efficient approach for non-productive landscape. The figurative cost of DEV/QA hardware can represent a relevant portion of the total cost of SAP HANA system landscape. SAP always contains less amount of stringent hardware requirements for SAP HANA non-production systems. Tip #5: Selection of High Availability/Disaster Recovery (HA/DR) models (cost-optimized vs. performance-optimized) When we explore about the total cost of ownership of SAP HANA, it is mainly concerned with lowering the management and costs by constructing an efficient landscape. SAP HANA Replication System is basically configured for two modes, either the cost-optimized mode or the performance-optimized mode of operation. One of the pivotal roles of the SR is to build the secondary hardware for shortening take-overs and performance boosts if a system fails. So, in order to minimize IT costs, customers are allowed to use the servers on the secondary system for specifically non-productive SAP HANA systems. SAP HANA, by allowing the potential customers for the usage of their secondary hardware resources for non-production drives down the TCO by enabling customers to consolidate their environment. Tip #6: Filing a Request from at least two SAP HANA technology partners after finalization of landscape design Once you have gone through the major elements like: HA/DR configuration, deployment model for your applications, sizing (CPU, memory, SAPS), you must make sure to file a request at least two certified SAP HANA appliance and storage partners. Receiving multiple quotes can help customers with negotiating the most suitable price for the deployment infrastructure. Tip #7: Validate and make usage of services offered with your software and hardware licenses, before going Live. Customers, usually find that their needs, expectations and requirements change from time to time during the project lifetime. So, always ensure to run some additional testing like stress and performance tests to optimize the KPIs before going g live or into production. Also, re-validate initial sizing of SAP HANA systems.

Suitable Tips for Cost-optimizing SAP HANA Infrastructure

SAP HANA provides customers with a variety of configuration and deployment choices to meet every businesses requirement, expectations and budget.

If you are planning to switch over to SAP HANA, here are a few brilliant tips that will give you the brightest idea to implement for the most cost-optimized HANA landscape configuration.

Tip #1: Sizing of your Application

Proper sizing of the SAP HANA server is very crucial. Under sizing and oversizing both can create complications as for having a under sizing server, one might have performance based issues and for having an oversized server, there will be a need to pay extra for capacity.

SAP Quick Sizer tool is a very quick and smooth way for users to determine the memory, CPU and SAPS requirements for a smooth running of their workloads on SAP HANA.

Find below some tools and resources to use to perfectly size the different HANA workloads, including:

• Sizing New Applications, ” Initial Sizing” section – It basically offers an overview of the some important steps and resources for perfectly sizing stand- alone HANA, SAP Business Suite on HANA, SAP HANA Enterprise Search, SAP NetWeaver BW powered by SAP HANA, Industry Solutions powered by SAP HANA, , along with other sizing guidelines for using HANA as a database.

Migration or switch over to SAP HANA Applications, “Productive Sizing” section – It helps to determine HANA system needs, requirements and contains the sizing guidelines in one’s existing applications to HANA.

• Sidecard Scenarios Sizing section – It describes the process for sizing in order to run SAP HANA Enterprise Search, CO-PA Accelerator, and other SAP Applications on SAP HANA in a sidecard scenario.

aws-en-microsoft-azen-met-cloud-platformen-op-sap-hana-klanten.html

Tip #2: Determining the most suitable deployment model for Data Center infrastructure strategy

The SAP ecosystem provides a useful range of HANA appliance reference architecture models which are optimally designed and manufactured to satisfy each deployment use case.

It is possible for customers to select from more than 400 SAP HANA certified configuration systems, which are offering unprecedented scalability and fine-grain memory sizes ranging from 128GB to 12TB.

It understands that each user’s set of requirements, needs and expectations are specific and different, so there is a list of deployment options for SAP HANA to meet your every business need:

1. By leveraging preconfigured hardware set-up and preinstalled software packages fully supported by SAP, the appliance delivery model provides an easy and fast way for deploying SAP HANA.

2. Tailored Data Center Integration (TDI) deployment model offers SAP HANA clients with two features i.e. increased flexibility and TCO savings by enabling them to leverage their existing hardware components and operational processes.

3. Clients which are standardized on having their Data Center operations virtualized can easily leverage SAP HANA on VMware deployment model .

4. Eventually, customers can choose the SAP HANA Enterprise Cloud service. This is a fully managed cloud service which allows you to perform functions like to deploy, maintain, integrate, and extend in-memory applications from SAP in a private cloud environment, along with providing cloud elasticity and flexibility with subscription based pricing.

Tip #3: Carefully opt for a scale-out deployment model, explore options first for scale-up.

The concept behind a scale up tells that opt always for a scale-up initially and go to scale-out only if it’s needed. Customers usually think that HANA’s high compression rate combined with its extremely high scalability (up to 2TB – OLAP and up to 12 TB – OLTP) will brilliantly satisfy their business requirements.

Keep these points in check the benefits of scale-up before you decide to scale-out:

• If you opt for a scale-up first, there is single node model, which means you will have 1 server (minimal footprint), 1 operating system to update, and 1 box to operate along with power supply.

• With the last option which is scale-out, there is multiple node approach –which means you not only require more room and more power in your Data Center Services to deploy multiple server boxes, but also your operational and management costs for cluster systems will be comparatively  much higher than for the single-node systems. Although, it’s true, scale-out provides more hardware flexibility than scale-up and requires less hardware costs initially, but however, it requires more upfront knowledge about data, application, and hardware than scale-up.

Tip #4: Complete understanding of extra options for reducing the cost of your non-production systems

Recently, SAP has made some additional steps to further relax and make hardware requirements flexible resulting in potentially new cost savings for customers.

Sincerely review SAP HANA TCO savings for determining the most cost-efficient approach for non-productive landscape. The figurative cost of DEV/QA hardware can represent a relevant portion of the total cost of SAP HANA system landscape.

SAP always contains less amount of stringent hardware requirements for SAP HANA non-production systems.

Tip #5: Selection of High Availability/Disaster Recovery (HA/DR) models (cost-optimized vs. performance-optimized)

When we explore about the total cost of ownership of SAP HANA, it is mainly concerned with lowering the management and costs by constructing an efficient landscape.

SAP HANA Replication System is basically configured for two modes, either the cost-optimized mode or the performance-optimized mode of operation.

One of the pivotal roles of the SR is to build the secondary hardware for shortening take-overs and performance boosts if a system fails.

So, in order to minimize IT costs, customers are allowed to use the servers on the secondary system for specifically non-productive SAP HANA systems.

SAP HANA, by allowing the potential customers for the usage of their secondary hardware resources for non-production drives down the TCO by enabling customers to consolidate their environment.

Tip #6: Filing a Request from at least two SAP HANA technology partners after finalization of landscape design

Once you have gone through the major elements like: HA/DR configuration, deployment model for your applications, sizing (CPU, memory, SAPS), you must make sure to file a request at least two certified SAP HANA appliance and storage partners. Receiving multiple quotes can help customers with negotiating the most suitable price for the deployment infrastructure.

Tip #7: Validate and make usage of services offered with your software and hardware licenses, before going Live.

Customers, usually find that their needs, expectations and requirements change from time to time during the project lifetime. So, always ensure to run some additional testing like stress and performance tests to optimize the KPIs before going g live or into production. Also, re-validate initial sizing of SAP HANA systems.

https://www.go4hosting.in/blog/wp-content/uploads/2018/07/featured3.jpg

Harnessing Artificial Intelligence to Transform Urban Traffic Management

Big data, Internet of Things, Machine Learning, and Artificial Intelligence are some of the most talked about innovative technologies that are all set to reshape our future in more ways than one can dream of. AI or Artificial Intelligence refers to any type of intelligent activity, which is performed by mechanical devices rather than humans.

We often come across such intelligent devices in our daily lives. Any machine that is capable of acting in response to human speech can be considered to exhibit Artificial Intelligence. Artificial Intelligence is being leveraged to make machines perform actions based on the previous experience.

Applying AI in Traffic Management

Traffic management is one of the most successful implementations of this new and disruptive technology as exhibited by the City Brain project by Alibaba in China and Malaysia. Artificial Intelligence has huge potential of controlling several aspects of urban living and traffic is one of these.

Going from one place to another has become relatively simpler due to applications such as Google Maps that provide wealth of information including the shortest route and real time traffic conditions. Users are required to share their geographical location and the smart app will use huge volumes of data and offer information about the most optimum route to reach a particular destination.

Traffic woes have been impacting development in cities across Asia and Alibaba proposes to ease the same by harnessing the might of cloud computing through its cloud arm Alibaba Cloud. Armed with its huge success in Hangzhou city Alibaba is all set to deploy its cloud based traffic management system known as City Brain.

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Highlights of City Brain

City Brain has succeeded in improving reporting of issues related with violations of traffic rules up to ninety five percent precision while enhancing the traffic speed by fifteen percent as reported by the leading news agency Reuters. AI powered City Brain is designed to predict traffic movement and provide valuable information about traffic related events by integrating real time data from mapping apps, video coverage, traffic departments, and public transport systems.

This information is used to guide emergency vehicles including fire fighters, ambulances and enforcement vehicles so that these can reach destination much quicker and without any hassles. It is proposed that City Brain will be instrumental in planning roads in developing cities by leveraging its ability to study traffic patterns.
Implementation of City Brain in Kuala Lumpur is viewed as AliCloud’s maiden venture outside China. Alibaba is going to partner with the council of this major Malaysian city as well as Digital Economy Corporation which happens to be a government owned organization for business development.

Kuala Lumpur is an important business district of Malaysia and is poised to experience power of Cloud Computing as Alibaba’s smart traffic management system integrates hundreds of traffic cameras and traffic signals to mark the beginning of the ambitious drive to reshape the traffic monitoring system.

Impressive Performance

City Brain was introduced in Chinese city of Hangzhou that is fifth most traffic-congested cities in China, almost three years ago in order to alleviate traffic associated problems. AliCloud was accorded access and control over 104 traffic signals in the city to reduce traffic snarls through smart use of traffic monitoring data collected by a large number of cameras.

The entire exercise was initially limited to a single district and spanned over twelve months and the results were extremely encouraging. In addition to improvement of traffic speed, City Brain also offered real time information of accidents to help ambulance and emergency vehicles reach the location faster.

Encouraged by the success in Xiaoshan district, the City Brain project was instituted across entire Hangzhou for seamless as well as accurate monitoring and tracking of city’s traffic.

New Destination

Malaysian city of Kuala Lumpur has been earmarked by Alibaba as the next stop for implementation of City Brain due to Malaysia’s progress in terms of digital transformation. This Asian country has immense potential for implementation of smart city projects through adoption of cloud computing.

City Brain will be instrumental in gathering enormous data with respect to traffic movement, transportation, and traffic patterns from a large spectrum of sources offered by city councils. This data can be leveraged to design future projects and can also be used by private companies.

Way Forward

Alibaba may think of sharing the data with private companies for price or can also offer the City Brain platform to accomplish projects to Malaysian businesses, developers, or academic institutions among others. Small enterprises can leverage Alibaba’s cloud computing resources in terms of Artificial Intelligence and Machine Learning. Tianchi is a good example of how Alibaba is collaborating with millions of developers from thousands of academic institutions spread across the globe.

Meanwhile, after completion of the first phase of City Brain’s deployment, across the central business district of Kuala Lumpur, Malaysian government proposes to spread the power of cloud computing all over Kuala Lumpur.

Key Reasons for Docker’s Popularity

Key Reasons for Docker’s Popularity

Docker is an open source project which has become much popular in recent times and with good reasons too. It has made it possible for many more applications to run on old servers. Research shows that the Docker technology has indeed become successful in recent times and the app container market is expected to explode in the next few years. Even real world data supports this theory of large scale Docker adoption. A cloud monitoring system Data Dog revealed that a substantial portion of its customers had already adopted Docker. So, Docker adoption is on the rise as the benefits of using it are being identified by more and more businesses. Some of these benefits have been outlined as follows:

Since Docker works consistently across various platforms, it is gaining in popularity. There is likely to be differences among environments as far as release life cycles and development are concerned and these differences are typically due to different package versions. However, Docker is capable of addressing the differences because it can guarantee consistent environments right from developing to production. The Docker container is specifically configured to control all dependencies and configurations internally. So, one uses the same container right through to production to avoid any kind of manual interventions in the process. When you use the Docker set-up, you developers will not need to install an identical production setting. Developers may use their own systems for running Docker containers. Docker even allows you to make upgrades during product release cycles. Besides making changes to the containers, you can test these and then implement these same changes to current containers. Docker is popular because of this degree of flexibility it offers. So, Docker will let you build, test and even release images which may be deployed over many servers.

Another important benefit which Docker offers and which is responsible for making it popular is its portability. In the past, reputed cloud providers like Google Cloud Platform or GCP and Amazon Web Services or AWS have used Docker for this reason. So, Docker containers may be easily run within GCP or Amazon instances as long as the operating system of the host supports this. Besides the GCP and AWS, Docker is also found to work well with other IaaS providers like Open Stack and Microsoft Azure.

Docker is able to offer consistency across many development and release life cycles, helping in standardizing your environment. These containers work well also with GIT repositories. So, you may make changes to the images and control these; for instance, if you perform a part upgrade which breaks the environment you can always roll back to the previous Docker image version. So, compared to VM image creation and backup processes, Docker works faster.

Docker is popular as it makes sure your resources are segregated and isolated. In fact, according to Gartner reports, the containers are almost as good as VM hypervisors as far as isolating resources goes. Docker will ensure that every container owns its resources which are isolated from that of other containers. You may have different containers for different applications which run separate stacks. Docker also helps in clean app removal because every app has its own distinct container. Finally, Docker also makes sure that every application uses only the resources like space, memory and CPU which have been assigned to it. So, no application can use up all the available resources and cause downtime for others.

Docker is also popular for its security features. It ensures that all applications which run on containers are isolated from one another so that you have total control over the traffic. So, no container can actually look into what takes place in another container. Each container is allocated its own resource set. The Docker images which are found on Docker Hub have been signed digitally to guarantee authenticity. Moreover, because resources are limited and containers isolated, if one application does get hacked for some reason, the others are not affected.

These are some of the important reasons why so many IT businesses are using Docker. Docker lets developers pack, ship and operate applications in a lightweight and portable container that can run almost anywhere. Containers can offer instant portability and they do so by allowing developers to isolate the codes into one container. Docker introduces many new things which earlier technologies had not. It has made containers safer and easier to deploy. Besides it partners with other container providers like Google, Parallels and Red Hat and has introduced standardization to these containers. So, to sum up, Docker will ensure that you can run more apps on identical hardware; it also makes it easy for the developers to create ready-to-run applications; it streamlines deployment and management of applications.

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Difference between Docker Image and Container?

hadoop-cloud

Steps to Install Hadoop in the Cloud

No one can deny the importance of cloud computing and Big Data analytics these days. As public clouds like AWS become more and more popular, businesses are trying to run all their workloads in clouds to benefit from faster innovations, business agility and cost savings. Hadoop is open source programming framework based on Java which can allow you to store and process large data sets. When data gets generated in cloud, public cloud based Hadoop is beneficial. When data resides on-premise, on-site Hadoop deployment is recommended. It is believed that Hadoop will ultimately reside in hybrid cloud. But to deploy Hadoop for data analytics in a public cloud, there are some steps that you have to consider:

1. One of the first things that you must consider is whether your cloud set-up can guarantee consistent performance. Hadoop has been primarily designed to guarantee steady performance to achieve business goals faster. When you deploy it in a public cloud, you therefore have to ensure that the provider is able to guarantee this reliability of performance. You must also know costs entailed for such a performance. When you share the infrastructure with other companies you may not have control over the server your virtual machine is using. So, you can very well face problems from neighbors if they run rogue on the server in which your VM is operational.

2. Another important factor to check for is whether your cloud provider can guarantee the kind of availability which your Hadoop deployment offers. Hadoop offers many architectural guidelines to make sure that there is availability against failure of hardware. In a cloud you will not have “rack awareness”; so, you need to know how high availability will be guaranteed particularly to safeguard against rack failures.

3. You must also find out whether the cloud offers cost-effective and flexible resources. Hadoop will require linear scaling of resources because the data you need continues to expand rapidly. You have to therefore understand the implications on costs if you have to scale the infrastructure every time. Not every compute node is designed to be equal; you will find some to be heavy on the processors while others will offer more memory. So, you need to select compute nodes which have better processors and higher RAM.

4. You should also find out if the cloud will provide guaranteed bandwidth for the Hadoop operations. Hadoop will need a lot of network bandwidth for running its tasks faster because the aim is to accomplish business insights quickly. When you have cloud based deployments, you know that guaranteed bandwidth comes with costs. Since in a cloud, the physical network gets shared among many tenants, you must first make sure you understand all the Quality of Service policies for bandwidth availability before you install Hadoop.

5. You have to also find out if the cloud can provide flexible and economical storage facilities. Performance and capacity are the most important considerations in order to scale Hadoop. The traditional Hadoop installation will need replicating data thrice over to protect it from losses because of hardware failures. So, this means that you will also need three time storage capacity apart from the network bandwidth specifications. As far as performance goes, Hadoop needs availability of high bandwidth storage in order to carry out sequential reading-writing of data to get jobs done faster. For better performance, you can use servers having DAS storage or shared storage options which are resilient to disk drive failures.

6. Another step to consider when deploying Hadoop in the public cloud is whether data encryption options are available or not. This is a prime security policy especially for businesses in healthcare sector. So, you need to inquire if the Hadoop deployment can support data encryption and learn about the scaling, performance and pricing implications.

7. You should also learn how economical and simple it is to get data in or out of the cloud before installing Hadoop. The cloud will offer different pricing structures for feeding, storing and shifting data outside the cloud. Not all features that you require will be present in all cloud sites. So, you may have to establish the Hadoop cluster in certain specific locations. This is why you need to know how much the costs will be for moving data in or out of a cloud location.

8. Finally, you must learn how simple it is to handle the Hadoop infrastructure inside the cloud. With deployments growing, you may need backups or disaster recovery solutions. So, you should ideally take into account management implications of expanding your Hadoop cluster.

To conclude, Hadoop based data analytics have been attracting many people and most have started using it in their on-site data centers. The public cloud has grown in the recent years and today there are many businesses which are keen to explore its benefits. The above mentioned factors need to be considered when you are considering Hadoop deployment in the public cloud.

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