Cloud Services

CLOUD COMPUTING: AZURE VS AWS

Many businesses are migrating to the cloud as an economical means of accessing, storing and delivering data. By using a Cloud Service provider, corporations no longer ought to purchase and maintain their own physical infrastructure as all their IT needs are often delivered via secured internet connections.

Moving to the cloud essentially suggests that renting servers, networks and operational systems from a 3rd party. employing a public cloud tends to be more cost-effective but isn’t essentially the most effective choice once it comes to data security. As such, businesses handling sensitive data usually prefer to use a hybrid cloud. These rely on each company on-premises resources and those of a public cloud, allowing storage to be split between the 2 depending on the nature of the data.

There are currently several Cloud Service providers, with Microsoft’s Azure and Amazon’s web Services (AWS) leading the pack. both provide hybrid solutions also as public cloud resources, together with storage, networking, security, application deployment and management tools. but which one is better?

Microsoft Azure

High accessibility
Unlike other vendors, the Microsoft Azure cloud offers high accessibility and redundancy in data centers on a worldwide scale. due to this, Azure can give a service level agreement, or SLA, of 99.95% (approximately 4.38 hours of downtime per year), something that most businesses cannot accomplish.

Security

Microsoft Azure has a robust specialise in security, following the quality security model of sight, Assess, Diagnose, Stabilize and close. Paired with robust cyber security controls, this model has allowed Azure to attain multiple compliance certifications, all of that establish Azure as a leader in IaaS security. Not only is the platform protected, the top user is also lined with Azure. This multi-level of protection is crucial as security threats continue to multiply daily across the world, targeting end users and putting your business’ data at risk. Azure provides simple, easy services for enlarged protection, like multi-factor authentication and application password necessities.

Scalability

Scalability is the backbone of any smart cloud provider, and Azure is no different. for instance, consider the following: a firm runs SQL reports daily for 28 out of 30 days of the month, using stripped cypher power. On the last 2 days of the month, there’s an increase in report activity, requiring additional compute power. Microsoft Azure makes it easy to scale cypher power up or down with nothing more than the clicking of a button. With this scalability structure, businesses have the flexibleness to procure only what they use.

Requires Management

As with anything, there are a few of potential cons with Microsoft Azure. in contrast to SaaS platforms where the end-user is consuming data (for example, office 365), IaaS (Azure) moves your business’ cypher power from your data centre or office to the cloud. like most cloud service providers, Azure must be expertly managed and maintained, which incorporates patching and server monitoring.

Requires Platform expertise

Unlike local servers, Azure needs experience to ensure all moving parts work along with efficiency. a typical mistake by business administrators that don’t seem to be totally engaged in how well (or poorly) their cloud servers are in operation is to over-provision cloud services. while a common mistake, on premise servers’ cypher power doesn’t translate ambiguously within the cloud, potentially cost accounting businesses thousands of bucks each year.

As more and additional businesses continue to move their data to the cloud, it can be difficult to trace which provider is best for your business. As an IT company serving small and mid-size businesses, corps had to conduct its own proof of concept, migrating core business applications to Azure to ensure most efficiency. With a seamless migration and continued usage, corps hasn’t looked back, saving nearly $4,000 per month on licensing, hardware, and support.

 

Amazon web Services also called AWS is a numerous set of global computing, data storage, analytics, application, and deployment services managed by Amazon. very similar to Microsoft Azure, firms use AWS cloud services to scale back IT prices, increase data flexibility, and catalyse digital transformation efforts.

In the above paragraph, we explored some of the pros & Cons of Microsoft Azure, the world’s most well-liked cloud computing service provider. In this post we’ll take a deep dive and discuss some of the benefits and drawbacks of Amazon web Services, the worlds most widely used cloud service provider.

Eliminating Capacity Constraints & Mitigating Cost

In-house data servers inherently create capability constraints. AWS helps clients eliminate these capability constraints created by on-premises traditional data storage. Customers will stop guessing about capabilitybefore deploying an application. often times firms end up running out of capability, which inhibits time to plug or conversely, to take a seat on expensive idle storage. With AWS, or alternative cloud computing services, these capability constraints and queries go away. Business leaders also want IT to assist preserve cash. AWS customers don’t need to worry regarding wasting resources on excess capacity or expensive on-premises datacentres.

Global Reach & Scalability

AWS makes it simple for customers to go global with cloud services in a matter of minutes. firms will expend their teams internationally or access applications whereas traveling abroad. AWS additionally markets its dependability which is paramount for world operations that require to drive consistency across the world. AWS markets its services as simple for firms to rescale or down depending on their desires at the time.

Elastic Cloud compute (EC2)

Elastic compute Cloud or better referred to as EC2 is Amazon’s primary off-premises cloud computing platform. It permits users to rent virtual computers that to run their own applications on.

Pro: EC2 allows for corporations to be extremely versatile with their data usage. Customers will expand or cut back their usage capability in a matter of hours.

Amazon maintains server centres that they refer to as data regions on each USA coasts, Japan, Australia, and Ireland. This feature will increase the reliability and access of EC2 services globally.

Con: EC2 is reported to face some reliability and practicality issues when scaling up. The EC2 virtual hardware is reportedly not as strong as physical hardware. As AWS aims to support more enterprise clients with EC2, a lot of corporations migrate their legacy data and software system into the cloud that needs a bigger level of management than EC2 can give.

Con: Instance controls are restricted to one possibility. EC2 permits users to deploy dedicated hosts but they need to declare an instance type. each instance per host should be uniform that needs users to specify configurations like RAM, CPU, and bandwidth needs.

Elastic Block Store

Amazon Elastic Block Store (Amazon EBS) provides block storage volumes to be used with Amazon EC2 instances within the AWS Cloud.

Pro: EbS provides high availability and sturdiness and provides customers the choice of generating storage volumes. EbS benefits application workloads that have the benefit of fine calibration for performance, cost, and capability. The infrastructure permits for prime levels of flexibility.

Pro: EbS is extremely secure. AWS claims data housed in EbS maintains the same level of security as information housed on-premises. corporations will even utilize EbS for long-run backup purposes.

Con: Since EbS solutions are web based, access is entirely dependent on connection. this will also cause issues with speed if companies select not to invest in upgrading to faster software system. However, these drawbacks will apply to any cloud service.

Con: Some EbS reviews state that billing may be confusing.

Simple Storage Service (S3)

Amazon S3 is object storage designed to store and retrieve any quantity of data from anyplace. It provides customers with immediate, flexible, and secure data storage solutions for nearly any reasonably application or data wants.

Pro: Storing with Amazon S3 is incredibly value effective. For corporations that don’t need to invest in on-premises data storage will save on it costs by moving data to S3.

Con: however, individual transactions is expensive. Customers purchase transactions in addition to storage.

Pro: If you already use AWS, using S3 is improbably convenient and might be implemented very quickly. It provides a viable option for quick data backup if corporations need to release capability in their on-premises data centres.

Microsoft Azure functions primarily as IaaS and doesn’t offer the same level of end-to-end software that AWS does, however it remains bullish on cloud services and continually makes big moves to bolster its position in the space. After all, Azure now represents Microsoft’s top revenue stream offsetting some of the company’s most expensive operations. To keep growing Microsoft Azure, the company looks to push more into the PaaS and SaaS verticals. For this, Microsoft may just acquire one of the market leaders in PaaS and SaaS. Until then, Aws remains the top pick for companies looking for full service cloud services and storage solutions.

If you are looking for a cloud services provider, Talk to our Experts for more detail.

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Cloud Computing Can Make You More Secure

Are you hesitant regarding adopting cloud computing services into your IT infrastructure? you’re not alone. Data security is the leading concern for IT professionals once it comes to cloud computing. Services like Amazons EC2 are merely not equipped to deal with the security and privacy needs of data-sensitive organizations.

Because public cloud services provide server instances for several clients on constant hardware, your data can get virtually “lost within the clouds” once you have little or no control over where your data lives.

Private cloud computing allows for the control that the majority PCI and HIPAA-sensitive organizations need over their data. when it comes to security, the importance of control over your surroundings can’t be exaggerated and leads most IT professionals to adopt private cloud hosting over the public cloud.

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When comparing cloud options, here are five security tips to consider:

Tip #1: 

Know where your data lives. how can you secure your data if you don’t recognize where it is? sure, firewalls and intrusion detection and prevention can prevent most intruders, and encryption keeps the data safer, but however do you recognize where your data goes once you terminate your service or once the cloud provider goes out of business? being able to point to a machine and say your data and solely your data is on that machine, goes an extended way within the security of your data in the cloud. Dedicated hardware is the key that allows for cloud computing services to pass the most rigorous security guidelines.

Tip #2: 

Always backup your data. one of the foremost unmarked aspects of cloud computing and one of the simplest way to increase the control of your data is to create certain that whatever happens, you’ve got a secure backup of that data. This can be a lot of concern securing your business than your actual data but provides the same type of peace of mind. we have seen huge firms like T-Mobile lose its customers data, by not having a backup, leaving them with nothing.

Tip #3: 

Make sure your data centre takes security seriously. By knowing which server and data centre your data is being stored at, you’ll probe them for all applicable security measures that are in place. you’ll see if they’re SSAE 16, SAS 70 and SOC 2 audited, and if they need clients that are HIPAA or PCI certified. Managed services can also add an excellent deal of benefit and expertise to making your applications, data, and business more resilient. Services like managed firewalls, antivirus, and intrusion detection are offered by esteemed data centre or cloud providers and allow for enhanced security measures for managed servers.

Tip #4: 

Get references from different clients. when doubtful, ask your cloud provider for client references that need rigorous security measures. Financial, healthcare, insurance, or government organizations are a decent start. while references don’t guarantee anything, chances are high that, if other companies that have similar security goals are exploitation the provider, you’ll be an honest fit as well. make sure to contact these references directly when possible to see what these firms are using the cloud services for, and the steps they have taken to secure their data.

Tip #5:

Test, Test, Test. Assume nothing. the sole way to make sure something is secure is to test it. it’s not uncommon for extremely data-sensitive organizations to rent a talented ethical-hacker to test their security provisions. Vulnerability scanning, and assessments are just as vital within the cloud as they’re outside the cloud. chances are high that that if you’ll find a way to induce unauthorized access to your data, someone else will also.

Conclusion: –

Achieving adequate security assurances within the cloud is feasible but it’s not guaranteed. similar to any other IT project, you have to try and do your homework and within the case of security, it’s better to be safe than sorry. The private cloud hosting model can actually provide a more secure framework than the general public clouds.

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Migration from on-premise Application to AWS Public Cloud

Cloud migration and application modernization methods became a lot of crucial and sophisticated once trying to stay pace with business requirements and adapting to technology shifts. in order to see the correct strategy, a collaborative effort across multiple groups (IT, Cybersecurity, Application Developers, DevOps, Business etc.,) is needed.

A key element of the strategy is to figure out the cloud provider tools required for application migration. AWS offers several of these tools like AWS Cloud Formation templates, however, these would require extra stitching to work for end to end solutions. This enterprise is definitely overwhelming and time consuming for the deployment team.

This blog can give a high-level overview of how Cloud shell native integration with AWS can easily support a re-platform strategy for inheritance on-premise applications into the AWS cloud.

Step 1 :- Deploy CloudShell in AWS

The first step is to deploy Cloudshell in your AWS cloud. this is often accomplished by employing a AWS Cloud Formation guide. The deployment method can produce a brand new management VPC and deploy four EC2 instances that facilitate numerous functions for CloudShell. These functions enable the creation of VM’s, VPC, execution automation and accessing VM consoles. The Quali Server (QServer) also can be put in on-premise and therefore the other 3 components within AWS.

 

AWS

Step 2 :- Connect Cloud Shell to your AWS account

The next step is to make a new cloud provider resource in Cloudshell that connects it to your AWS account. during this example, AWS EC2 is chosen because the cloud provider resource and a descriptive name like“AWS West Region” is provided.

2-1

Additional info is needed to complete the connectivity needs. the subsequent resource detail type provides a simple way to enter the precise details relating AWS connectivity and deployment

Step 3 :- Add Your Apps and Services

The Re-Platform strategy for migrating heritage applications needs a mix of native AWS application templates, services, and integration with third party service components. This requirement is supported among CloudShell by providing a cataloguing capability for easy selection of components. so as to create the catalog, you’ve got a number of options on how you wish to access the resources. Pre-packaged Amazon Machine images (AMI’s) are out there by referencing their AMI ID’s as one possibility of building your catalog. another option is to outline the API end point of the native cloud service. Either method may be accustomed outline the object and associate a class as highlighted below for easy access.

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Step 4 :- Model Blueprints and Deploy Sandboxes
Once the catalog objects are outlined, they will be introduced onto the blueprint canvas with a simple drag, drop and connect activity to easily model your application environment. the sweetness of this approach is that you just don’t have to worry regarding the underlying infrastructure definition since a website administrator has already established that in the previous step. This blueprint design process is illustrated below with a AWS cloud-native Aurora info, pre-packaged AMI Drupal CMS application, third party Nginx load balancer and a Software-as-a-Service Blazemeter load generation tool.

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Once this process is completed, the designer tests it and publishes it into the self-service catalog. it is now ready for utilization by the test engineer. The test engineer will choose the blueprint, fills in some input parameters if required, and with a simple click deploys it. The constitutional orchestration does the work.

As soon as the blueprint is deployed, the sandbox is active and now you’re in a position to access individual parts as guaranteed or start the value added services like starting a Blaze meter load and performance test.

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Step 5: –  Reality Check: Metrics
The rubber hits the road once you begin to compare your on-premise baseline load and performance metrics with the AWS Re-Platformed answer. Your organization will tweak configuration parameters that align with your price models, application response times and other SLA’s which will dictate how you migrate to a public cloud. In either case, key to success is how quickly you’ll be able to get up components that impact your application service. The modeling functionality of Cloudshell provides a simple way to incorporate network level, application layer and data structures to validate the effectiveness of your migration strategy.

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Conclusion :-

Making a call to utilize public clouds services for price savings, measurability and agile deployments is a departed conclusion for many organizations. Cloudshell provides an easy to model, simple to deploy orchestration solution to assist you reach your objectives. to learn more on this “How To” please visit the Website and fill the Contact form we will get back to you as soon as possible

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DATA SECURITY MANAGEMENT IN CLOUD COMPUTING

Cloud Computing:

The Cloud Computing is the practice of using a network of remote servers hosted on the internet to store, manage and process data, rather than a local server or a personal computer. i.e., the cloud is basically service model that provides the services such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) over the internet to the service taken by the clients anywhere in the world. It provides great computational abilities at very low cost and it is much faster to deploy.

paas-Iaas-Saas

IaaS-Infrastructure as a Service:

It is the form of cloud computing that provides virtualized computing services over the internet. In IaaS model a third party provider hosts hardware, software services, storage and other infrastructure components.

PaaS-Platform as a Service:

It is a service that offers services that provide a platform allowing customers to develop run and manage web applications without the complexity of building and maintaining the infrastructure typically associated with developing and launching an application.

SaaS-Software as a Service:

It is a kind of software licensing delivery model in which software is licensed on a subscription basis and it is centrally hosted. It has been a very famous delivery model for many business applications such as database management software, management software, customer relationship management software and enterprise resource planning. SaaS has been incorporated into the strategy of all the leading enterprise software companies.

Main Advantages of cloud computing:

Reduce spending on technology infrastructure.

Achieve economy on the scale.

Improve accessibility.

Improve flexibility.

Globalize your workforce.

Streamline processes.

Security issues in Cloud Computing:

Coming back security issues in cloud computing,

Data security in service models offered by the cloud. When we talk about the data security, we should talk specifically about Software as a Service and Storage as a Service. These are the two service models that deal majorly with data storage. The data security in software as a service and storage as a service is a major problem.

Data integrity in the services offered by the cloud, how the data is being manipulated or how the data backups being made by the cloud service provider is again another issue for the client is worried about is a big issue as a client as well.

Data localization, when we talk about data localization it means the availability of the cloud service model in a particular area as sometimes a cloud service model would have data centers in various locations which would lead the data from one data center to another data center.

Data Auditing, the data maintenance process on the cloud service model side or the cloud service provider side should be available for audits by the clients.

Amazon Web Services:

  1. Elastic computing
  2. EBS

When we talk about Amazon Web Services, we talk mainly about Amazon elastic compute cloud. It is a central part of Amazon’s cloud computing platform. It allows the users to rent virtual computers on which they run their own computer applications. It is scalable and it runs by creating a virtual machine by booting an Amazon machine image on the virtual machine.

EBS is a kind of storage service and it is persistent storage independent of a lifetime of the EC2 and it acts like hard drives.

Amazon also provides Elastic IP Address which can be programmed and mapped to any virtual instance without network administrations help and this increase the client’s interest. Amazon also provides the clients with web service called Amazon cloud watch which provides the real-time monitoring of class customers resource utilization such as CPU, Disk, and Network. The cloud watch does not provide any memory or disk space or load average metrics without running additional software instance. So the metrics collected by cloud watch enables the auto-scaling features to dynamically add/remove instances.

Conclusion:

It is also vital that the need of clients be understood and proper data auditing tools should be made available for the clients.

By addressing the data security issues and also by implementing the new algorithms and new cryptography technologies, data should be made more secure, as it would result in an exponential increase in the utilization of the cloud computing resources.

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Cloud Computing (Hosting)

Cloud computing is all hype right now, but what does it really mean? Do you have to be sitting in the mountains with the computer in the hand among the clouds or on a plane with a laptop? Does it work when it is sunny? Can you actually type on a cloud computing keyword?

Cloud computing is big & it is getting bigger & bigger every day. There are 3 layers of the cloud computing they are the application, platform, infrastructure and companies use them differently based on what they offer.

The bottom is the infrastructure, this is where things start and people will start to build. This is the layer where cloud hosting leaves, so let’s start with hosting in the cloud.

Hosting in the cloud

Hosting in the cloud is the older concept, but with the advance in the technology, it is working really well. Let’s say you are a company and you have a website and website has a lot of short conversations taken place between the members you start with the few years talking with each other and they start telling their friends about their site and they tell their friends and friends tell their friends and so on and you are successful but with the success can come the problem, your equipment can’t keep up with your demand. Your services slow down and suddenly you are in trouble.

A few years ago you would have kept your website on a computer (or) server somewhere and when success kicked in you have to run around and buy servers, set them up or someone set them up for you.100’s of 1000’s of computers do that now which takes a lot of money and lot of time this is called hosting, it takes time to set them up and they cost quite a bit money to run all the time. You pay for these servers when you are using them and you pay for them when you are using them.

Really you want to build the service and improve your product, but instead of success your customers are getting angry and your successful business is shrinking away, now you have a better option “Cloud Computing “. With cloud computing, you have the access to computing power instantly when you needed. For your website on a cloud server just like you put it on a dedicated server and when people start visiting your site if you suddenly need more computing power dedicated to your website you can, you can scale up as much as you need almost instantly. You get your computing power as you need from the cloud on demand and your customer stay happy without noticing any difference. If your traffic dips back down you can release your servers into the cloud just as easily this is a major advantage.

In a brief note “When you need more computing power you can instantly access from the cloud and when you are done with it you release it back to the cloud”. Billing is easy too it works like your electricity, gas bills when you turn “ON” a light the meter starts running and you are billed to the electrical power that you take from the power grim and when you are done with the light you turn it “OFF” and your meter stops running or you can think about paying for taxi. The meter runs when you ride and it runs much slower when you stop and when you are done with your ride you get out and pay your fare. Why buy the whole taxi when you can pay for the trip.

But wait how can you actually work with the cloud, when you can physically touch your hardware, easy by using your own personal computer you can remotely access your cloud server and control it. You can put whatever needed on its website, software’s or whatever and they disconnect it when you are done.

You never touch it physically; the key of the cloud is not to focus on the hardware. You just focus on the website or software’s or whatever you are doing. Think about any cloud services you really care where and what physical server your emails are hosted. Isn’t vastly important how service works and it is reliable, stable & easy to use.

Here are the 3 reasons why cloud computing is becoming popular:-

  1. Scalability:-

It’s easy to grow or shrink to match your domain if you need one, two or ten servers with cloud hosting. It is easy to grow or shrink the number based on your need right now.

  1. Instant:-

Cloud hosting is instant; the computing power is there when you needed. You just turn it “ON” whenever you need, it is instantly available on the cloud and when you need goes down you simply turn them “OFF”.

  1. Save Money:-

You can only pay for what you use and after having equipment set around just in case you might need it.

With cloud hosting you can stop warring about hardware, you can work on building your business instead using cloud hosting will save your time and money and also it is there for you to use instantly.

So dump these old servers and head to the clouds.

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AWS IT Infrastructure

Platform for IT Infrastructure

The AWS Cloud provides a wide range of infrastructure services, such as Durable Storage, Compute, Database, Management Tools and many other services, with pay for what you use

Amazon Web services provide building blocks that you can assemble quickly to support virtually any workload, adjust them as you need to change without the upfront cost of on-going commitments and only pay for what you use.

Let us make it in a simple this way, with your building applications for colleagues or consumers, for Enterprise support or E-commerce with Amazon Web services you find a complete set of highly available services which design to work together to built sophisticated scalable applications. Delivered over the internet, you have on-demand access for highly durable storage, low-cost computing, high-performance databases, and tools to manage these applications all available at upfront cost only pay for what you use.

High Durable Storage

                 Amazon

                 Glacier

               Amazon

                    S3

                    Amazon

                       EBS

 

Low-Cost Compute

  • Amazon EC2

High-performance Database

       Amazon

        Redshift

      Amazon

      Dynamo DB

     Amazon

      Elasticache

       Amazon

        RDS

 

Tools to Manage these Resources

       Amazon

    Cloud Watch

        AWS

         IAM

         AWS

  Cloud Formation

     AWS Elastic

       Beanstalk

 

So let’s say that you are building a database driven application where high availability & low cost are important, you can use AWS to store your important documents & files with storage services designed for level9 to durability and power your App with relational/non-relational databases. Now you have reliable manage databases up and running in minutes across multiple geographically isolated data centers for redundancy & availability.

You can redeploy your applications using the tools and languages you are used to either with full administrative root services or as a pre-packaged app such as SAP-Business objects, Micro strategy-“Best in business intelligence, the Microsoft-share point which is all available from AWS marketplace. Some of the Tools and Applications we use to deploy applications are:

ToolsApplications
ChefPHP
PuppetJava
Visual StudioRuby / Python
Eclipse.NET / Node.JS

 

You will find a lot of selection of computational resources to power your applications with support for I/O, storage & CPU intensive workloads. Experimentation becomes an easy & low risk, with on-demand access to wide range of hardware configurations & flexibility to evaluate and run virtually any technology or two. Like Windows, Linux, SAP.Plus your infrastructure can grow & shrink automatically as you need to change.

You can round up your applications with low balancing domain name services, a global content delivery network & automate everything with wide ray of SDK’S. Working with your data is easy too, with simple tools to integrate, import/export, manage Hadoop cluster, spinout petabyte-scale data federate identity and build complaint secure environment which integrates into existing infrastructure via privately dedicated connectivity.

You also have the access to the fine grade network & identity management, security certification & access controls to your organizations’ needs. With AWS you will find the complete platform, ready to use virtually to any workloads. For business applications, Bigdata or building a games AWS gives access to the resources you need to create sophisticated, scalable applications of any size or shape.

We invest what you are with IT using Amazon Web Services

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