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Amazon S3 Vs Amazon Glacier | Encaptechno

Amazon S3 Vs Amazon Glacier

Amazon S3 Vs Amazon Glacier | Encaptechno


When you establish your first
AWS-hosted application for your new business, the first thing that jumps to mind is to prioritize the preservation of frequent and inactive data. Both Amazon Glacier and Amazon Web Services S3 are storage options that help you avoid data loss.

Businesses face various crucial conditions when conducting business online, including data corruption, administrative failures, malware attacks, etc. Therefore, even if you have a capable and long-lasting system, it is critical to keep a backup of all types of data on hand. Amazon S3 has been around for a long time. However, Amazon Glacier arrived later with premium features and capabilities. Both are legitimate services designed to provide an appropriate backup alternative in a tragedy.

Amazon’s Simple Storage Service (S3) and Glacier are two of the most popular cloud file storage systems. S3 enables you to store and recover any amount of data from anywhere on the network, known as file hosting. In addition, S3 offers object storage, which allows you to store files and metadata about them, which can be utilized for data processing.

You may create a low-cost storage system using Amazon S3’s great scalability, reliability, and speed. For various use situations, Amazon S3 provides many storage classes. S3 Standard is one of them. S3 Standard general-purpose storage for repeatedly accessed data, S3 Intelligent-Tiering for data with unknown or changing access schemes are designed for 99.9% availability, S3 Standard-Infrequent Access (S3 Standard-IA), and S3 One Zone-Infrequent Access (S3 One Zone-IA) for data requiring long-term storage for 99.5% availability are some of these options.

Amazon S3 Glacier (S3 Glacier) and Amazon S3 Glacier Deep Archive (S3 Glacier Deep Archive) are available for long-term data storage and preservation. Amazon Glacier and Amazon S3 are “Data Backup” and “Cloud Storage” technologies.


What exactly is Amazon S3?


Amazon S3, also known as Amazon Simple Storage Service, has been used by enterprises worldwide for a long time. It is recognized as one of AWS’s most widely used cloud storage offerings. It offers characteristics that allow you to store and retrieve an unlimited quantity of data without time constraints or limitations. 

With S3, there are no geographical limitations to data retrieval or upload. However, the pricing model is determined by how frequently it is retrieved. Amazon Simple Storage Service is an entirely redundant data storage system that allows you to store and recover any quantity of data from anywhere on the internet.

Amazon S3 is a cloud-based object storage solution that is simple to use. S3 provides industry-leading scalability, availability, access speed, and data security. In various circumstances, S3 can be utilized to store practically any quantity of data. Static websites, mobile applications, backup and recovery, archiving, corporate applications, IoT device-generated data, application log files, and extensive data analysis are all common uses for the storage service. Amazon S3 also has simple management tools. These tools, which you may access via the online console, command line, or API, let you arrange data and fine-tune access controls to meet project or regulatory requirements.

Amazon S3 organizes data into logical buckets, making it convenient and straightforward for users to find what they’re looking for. S3 also has an object storage facility for files, data, and metadata. But, again, its motive is to make it simple for individuals to locate data or files when they need them.

 

What exactly is the Amazon Glacier?


If you’re searching for a cost-effective way to back up your most static data, Amazon Glacier is the way to go. It’s often used for data backup and archiving. Customers should expect to pay around $0.004 per GB per month to retain their critical data for the long term.

The most incredible thing about Amazon Glacier is that it is a managed service, so you don’t have to worry about monitoring or maintaining your data. Amazon Glacier’s key selling point is that it can store data that isn’t accessed regularly for a long time. 

When opposed to S3, Amazon Glacier’s use cases are far more focused. As a result, it is a more robust solution for firms looking to protect sensitive and inactive data. With Amazon Glacier, you may store your source data, log files, or business backup data.

The only objective of Amazon Glacier’s development is to manage long-term data storage. Hence, it’s not designed for frequent retrievals. As a result, the retrieval speed with Glacier may be slow. But then the low-cost feature of Amazon Glacier compared to S3 draws the main business. Amazon Glacier is optimized for data that is retrieved infrequently and for which retrieval durations of several hours are acceptable to keep costs low. As a result, with Amazon Glacier, significant savings over on-premises options, customers can store considerable or minor amounts of data for as little as $0.01 per gigabyte per month.

Amazon Glacier is a low-cost storage service that offers secure and long-term data backup and archiving and is optimized for data that is retrieved infrequently and for which retrieval durations of several hours are acceptable to keep costs low.

 

Let’s explore in detail the features of Amazon Glacier

  • Inexpensive cost: Amazon Glacier is a pay-per-gigabyte-per-month storage solution as low as $0.01 per gigabyte per month.
  • Inexpensive cost | Amazon GlacierArchives: As archives, you save data in Amazon Glacier. You can use an archive to represent a single file or bundle many files to upload as a single archive. To get archives from Amazon Glacier, you must first start a job. In most cases, jobs are completed in 3 to 5 hours. After that, your archives are stored in vaults.

  • Security: Amazon Glacier uses Secure Sockets Layer (SSL) to encrypt data in transit and automatically saves data encrypted at rest using Advanced Encryption Technology (AES) 256, a secure symmetric-key encryption standard with 256-bit encryption keys.

 

Let’s dive into more detail to study the features of Amazon S3

  • Bucket criteria: Objects containing 1 byte to 5 terabytes of data can be written, read, and deleted. You can store an unlimited number of things. Each object is saved in a bucket and accessed using a unique key supplied by the developer.
    A bucket can be kept in any of the available regions. You can select an area to reduce latency, lower expenses, or meet regulatory criteria.
  • Scalability: Using Amazon S3, you won’t have to worry about storage issues. Instead, we can save as much information as possible and access it whenever we want.

  • Low-cost and simple to use: Amazon S3 allows users to store vast data for very little money.

  • Security: Amazon S3 allows data to be transferred via SSL, and the data is automatically encrypted once it is uploaded. Additionally, by defining bucket policies using AWS IAM, the user has complete control over their data.

  • Enhanced Performance: Amazon S3 is connected with Amazon CloudFront, which distributes material to end users with minimal latency and high data transfer speeds without any minimum usage commitments.

    Enhanced Performance | Amazon S3

  • Integration with AWS services: Amazon S3 is connected with Amazon CloudFront, Amazon CloudWatch, Amazon Kinesis, Amazon RDS, Amazon Route 53, Amazon VPC, AWS Lambda, Amazon EBS, Amazon DynamoDB, and other AWS services.

Transition from S3 to S3 Glacier


Let’s have a look at when this transition is appropriate:

  • When a large amount of data is accumulated but immediate access to it is not necessary.
  • When it comes to archiving.
  • When putting together a backup plan.
  • S3 Glacier’s budget is significantly reduced when dealing with big amounts of data.

Expedited, Standard, and Bulk Retrieval are the three archive extraction modes (also known as retrieval tiers) available in Amazon S3 Glacier to satisfy varying access time and cost needs.

  • In 1–5 minutes, you can have your archives ready.
  • Standard extraction, which produces archives in 3-5 hours.
  • Batch retrieval costs $0.0025 per GB and allows for cost-effective access to massive amounts of data (up to a few petabytes).
  • The cost of retrieving data varies.

What are the steps to moving to Amazon S3 Glacier?

  • Decide how much data you’ll be working with.
  • Decide how frequently you’ll need to access data from the backup.
  • Determine how much time you’ll have to wait for your backup.
  • Consider whether you need to use the API to obtain data.

You can choose if you should transform from normal S3 to Amazon S3 Glacier based on this information, as well as which technological aspects will be crucial for your job.

Battle of Amazon S3 Vs Glacier

 

  • S3 is mainly used for frequent data access, whereas Amazon Glacier is primarily utilized for long-term data storage.
  • Amazon Glacier does not support hosting static online content, whereas S3 does.
  • The data is saved in the logical buckets on S3. However, Amazon Glacier stores data in the form of archives and vaults.
  • Object migrating from one storage class to another is possible with S3. On the other hand, the Glacier items will only be moved to the Deep Archive storage type.
  • When compared to Amazon Glacier, Amazon S3 is more expensive. The many retrieval options included inside these storage technologies account for this disparity.
  • The minimum storage day with S3 is 30 days, while the minimum storage day with Glacier is 90 days.
  • Setting up Amazon Glacier is simple; however, S3 is more complicated.
  • Glacier makes it faster and easier to create and organize archives or vaults, whereas S3 takes time to develop folders or buckets properly.

Similarities between Amazon Glacier And S3 

 

  • Both Amazon Glacier and Amazon S3 are expected to provide 99.999999999 per cent object durability across multiple availability zones.
  • Both S3 and Amazon Glacier have a high availability rate.
  • Both Glacier and S3 have no theoretical limit on the amount of data you may store.
  • Both Glacier and S3 allow for direct uploading of things.
  • SLAs are provided for both Glacier and S3.

 

Conclusion

Amazon S3 is a web-based cloud storage service designed for online backup and archival of data and applications on Amazon Web Services (AWS). Disaster recovery, application hosting, and website hosting are all possible with Amazon S3. Amazon S3 Glacier offers long-term storage for any data format. Data can be accessed in three to five hours on average. A developer may utilize Amazon Glacier in conjunction with storage lifecycle management to move rarely used data to cold storage to save money.

The most significant distinction between the two Amazon storage services is that S3 is meant for real-time data retrieval, whilst Amazon Glacier is utilized for archival. Therefore, S3 Glacier should only be used for low-cost storage scenarios when data isn’t needed right away. On the other hand, S3 is recommended for organizations that require frequent and quick access to their data.

These are a handful of the explanatory qualities that illustrate how AWS Glacier and S3 differ and how they are similar. As a result, select the appropriate AWS storage solution to match your data storage and retrieval requirements. 

At Encaptechno, we design AWS certified solutions to help you plan and implement an Amazon Web Services (AWS) migration strategy to improve your applications. Our team at Encaptechno has the expertise to plan a seamless migration of all aspects of your computing, application, and storage operations from your current infrastructure to the AWS Cloud. Reach out to us today. We would be glad to hear from you about your project goals and discuss how we can help!

 

AWS Cloud Consulting Services | Encaptechno

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What is Application Modernization_ Why is it Important_

What is Application Modernization? Why is it Important?

What is Application Modernization_ Why is it Important_
The common business goals include gaining efficiencies, reducing costs, and making the most out of all existing investments. Application modernization is something that helps in achieving all of that. It is a process that includes a multi-dimensional approach of adopting and using new technology for delivering portfolio, application, and infrastructure value quickly. It also helps in positioning an organization to scale at an optional price.

Application modernization services lead to optimizing your applications. After an organization is successful in doing that, it becomes possible to operate in the new and modernized model without causing any disruption in simplifying a business operation, architecture, and overall engineering practices.

Application modernization is like taking your application environment in the form that it is in today and transforming it into something that is elastic, agile, and highly available. While doing this, you can change your business into a modern enterprise. For optimizing cloud adoption and migration, one must first assess and evaluate an enterprise and test its readiness.

After a person is successful in assessing an organization’s readiness, it becomes possible to select either one or two applications, modernize these applications for maintaining, extending, deploying, and managing them, and establish a foundation for modernization at scale. This is an iterative approach to application modernization that is divided into assessing, modernizing, and managing.

Modernizing Applications Effectively

 

Modernizing Applications Effectively
When it comes to
application modernization trends, it mostly comes to two specific patterns known as refactoring and re-platforming. Below, we will explore both of them in detail including the real-world success stories that help in understanding the real meaning of refactoring and re-platforming an application:

  • Refactor: The process of refactoring can be linked to rearchitecting an application into a comparatively modular design that is commonly referred to as microservices or modular architecture. The entire process of refactoring can provide high rewards such as adopting modular architectures with server-less technologies helps in improving agility by lowering the time and resources needed to build, deploy, scale, and maintain applications.

Application modernization services also reduce the overall cost of ownership by improving operational efficiency and resource utilization. With the modular services, there are more moving parts for managing which is why it is recommended that one should adopt serverless technologies as much as possible for eliminating the operational overhead.

Most customers focus on refactoring by automating software delivery wrapping the applications with the APIs and decoupling application components. The new applications can be created from the ground up with a modular design and technologies for achieving the benefits. All business-critical applications are considered prime candidates for refactoring.

Let’s take data warehouses as an example. They connect organizations to the customers as mobile applications generate new revenue and competitive differentiation and back-end services power the organization with an added efficiency. When the applications are not quick enough, scalable, have poor resource utilization, and need cost and operational overhead for maintenance, refactoring is the best way forward.

The process of refactoring to microservices also lends itself to the formation of small and independent teams that can take ownership of each service easily. This is an organizational change that fosters an environment of innovation for the development teams while giving them the authority to make changes that can lower organizational risks as a whole.

  • Replatform: The process of replatforming involves moving from services that you have been managing yourself to fully managed cloud computing services. This is done without changing the core architecture of an application. You will mostly choose the option for the applications that must be reshaped to match the overall cloud strategy or for taking better advantage of the native capabilities of the cloud provider.

The cloud provider should be able to offer assistance throughout the whole process. More so, AWS provides managed services that allow you to reduce operational overhead without rewriting any code. If you are managing the messaging broker today, you can simply replace it with the fully managed Amazon MQ service without rewriting or even paying the third-party software license.

On the other hand, if you are migrating a Windows-based application that needs file storage, it is also possible to use the fully managed Amazon FSx for the Windows File Server. For reducing the amount of time that is spent on managing Kubernetes clusters, one can choose to move to a managed Kubernetes service such as Amazon EKS. Once you are ready to move to an existing application straight to containers, it is also possible to streamline the process with AWS App2Container (A2C).

The A2C is a command-line tool used for modernizing NET and Java applications into containerized applications. It helps in analyzing and building an inventory of all applications running in virtual machines, on-premises, or in the cloud and packages for perfect application artifacts and identified dependencies into containers.

Benefits of Application Modernization

 

Benefits of Application Modernization
The process of modernizing a business application is an important part of doing a business. You can choose how you want to migrate the application with AWS and at which pace while leveraging the reliable infrastructure of an industry with the deepest set of services.

While deploying the application modernization services, the enterprises can also reduce any paycheck periods to just 6 months along with the total cost of ownership. With the use of AWS, your cloud migration and application modernization plans are based on business needs and not agreements or licensing.

For example, with the use of AWS, you can lift and shift the applications, refactor them and completely re-platform them as well. You can make the choice that suits your organization the best. Modernizing an application with AWS can help in reducing costs, gaining efficiencies, and making the most out of existing investments.

The three important benefits of application modernization are mentioned below. They include:

1. Driving Growth

 

Driving Growth
All enterprises that are looking to modernize technology can save money with the use of AWS while building new applications and retiring from legacy solutions. When an organization plans cloud migration to AWS, it becomes very easy to reduce the cost of ownership.

Many resources are freed and you can focus on the core mission of your enterprise which is to manage services and buildings. In addition, the hyper-scale breadth of services and automation levels in AWS also helps in achieving incremental savings and significant cost optimization.

When you deploy enterprise solutions in AWS, you can also retire expensive legacy infrastructure, reduce costs, gain agility with automation and free up many resources that drive innovation as opposed to focusing more on undifferentiated work.

2. Accelerating Migration to Cloud


The business applications are like an engine that helps the company to run and allows you to make decisions, gain insights, and also process valuable data. As an important part of the digital transformation journey, you can reach new levels of operational efficiency, increased scalability, and improved performance when you migrate to AWS.

Owing to this, migration to the cloud requires a provider with experience in retiring datacentres, the right program, and enterprise technologies ready to move applications to the cloud. AWS offers the Migration Acceleration Program and services for migrating databases, servers, and data and giving a person the right tools to achieve cloud migration.

3. Maximizing Investment Value


As the cloud journey goes ahead, an organization wants to maximize the value of hardware, software, and business applications. An important part of a digital strategy requires a person to run hybrid environments and maximize the use of existing solutions that are built on Microsoft Windows Server, Oracle, IBM, etc.

With the use of AWS, it becomes possible to use innovative technology for running all systems of a platform that allows integration with legacy applications and cloud-native solutions. This also gives an ability to run the value enterprise applications in the cloud and empowers an organization to get the best possible return from assets, legacy, and everything in between.

  • Increases Productivity: In this digital era, almost everyone wants to upgrade themselves with the latest technology. However, if an organization is using an out of date software or technology, the employee satisfaction level goes down and that impacts the productivity as well. 

In addition, if the developers and administrative staff can access modern technology, it becomes easy to be more productive. When one works on the same thing repeatedly, things become boring. 

Anytime when the company grows, they hire new staff, and educating every new resource on how to run a legacy IT system is costly and time-consuming. However, application modernization services, tedious tasks, and repetitive processes can be automated because of which it is easy to educate new employees.

Business Outcomes After Application Modernization


The process of application modernization requires a holistic approach of assessing, modernizing, and managing to bind the different dimensions that provide completeness at an accelerated pace. The common framework that is recommended by AWS envisions modernization across five important technical domains including automation, developer workflows, self-service data, architecture evolution, and organizational value.

The framework used in AWS professional services and AWS partner engagements includes a knowledge base with solutions, playbooks, self-service technical patterns, and templates. A successful modernization project also produces the following business outcomes.

1. Business Agility

The business effectiveness translates the business into requirements. With application modernization, you can tell how responsive the delivery organization is to business requests and how much control the business has in releasing functionality into product requirements.

Business and Organizational Agility

2. Organizational Agility

The delivery process includes agile methodologies and DevOps ceremonies. It supports clear role assignments and overall collaboration and communication all across an organization.

3. Engineering Effectiveness

Application modernization services improve quality assurance, testing, continuous integration, continuous delivery application design, configuration management, and source code management. Achieving all business outcomes requires a holistic approach and a modernization process that must be based on strategic dimensions.

Conclusion

At the present time, most applications are built with a combination of modular architecture, agile development processes, and serverless models that enable organizations to innovate much faster, accelerate marketing time and lower the total cost of ownership.

The modern applications cover an expanding range of use cases including web and mobile apps, back-end services, data processing techniques, and machine learning. These applications take advantage of the latest technologies and help in quick development and deployment.

Encaptechno has gained prominence in offering the best amazing web services. If you want to know more about the application modernization services then please get in touch with Encaptechno, today.

 

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Accelerate Software Development on Cloud Platform - Encaptechno

Best Practices to Accelerate Software Development on Cloud Platform

Accelerate Software Development on Cloud Platform - Encaptechno

Organizations have the option of accelerating the speed of software development on the cloud platform by combining DevOps with cloud architecture and by adopting agile development methods. With just understanding the process to accelerate development in the cloud, some of the pressing challenges can be prevented altogether while making the job of software developers much easier.

Even though there are many benefits of switching to a cloud-first model, the most immediate and beneficial ones can be accelerated development and testing. Some of the typical roadblocks faced by the software engineers can be solved by only equipping developers with the right tools for the task.

In this blog, we will have a detailed look at the best practice that can be adopted for accelerating the software development process on the cloud platform.

However, before anything, we will understand more about DevOps.

What Is DevOps?

What is DevOps

DevOps explains the relationship between software development and IT operation teams. It is essentially a well-defined method that can help both the teams to collaborate in a better way. Traditionally, the operations team and the software development team push each other in different directions which delays the processes.

Where the development team is focused on delivering new features to end-users, the operations team is more focused on reducing the risks and liabilities and streamlining performance. With the implementation of DevOps, this problem is reduced considerably because all the processes are streamlined entirely.

DevOps Practice

DevOps and the implementation of it have been increasing in importance over the last decade and have in fact gone through many repetitions as well. In the most fundamental form, DevOps and cloud are all about enabling a software team to swiftly and securely accelerate their services for running the company’s development and testing.

In large organizations, the process of software development comes with many stages and ranges over a prolonged time period and communication gaps that slow things down.

However, with the introduction all the processes become streamlined. With the help of development on the cloud, it becomes possible to eliminate multiple limitations that otherwise come in the application lifecycle.

There is no need for the software engineering team to stop working or wait for a request to be processed further. This is because there are many ways to overcome this automation process, but in my opinion, the use of the cloud is one of the most proven ways.

Some of the best practices that can be used for enhancing the speed of software development on the cloud platform are:

1. In-depth Knowledge Of Cloud Computing and DevOps

Knowledge Of Cloud Computing and DevOps

Many people implement DevOps in cloud computing for the purpose of staying in line with technological changes. However, only some of them actually get to the root of understanding the benefits of it in the true sense.

It is very important to move ahead as the world advances and in terms of technology, this becomes all the more relevant. In-depth knowledge of cloud computing and DevOps can lead to a better understanding and in result quick acceptance.

Hence, it is only relevant that some of the important players within the organization participate in the cloud and DevOps training so that a detailed mentoring can be offered as well. Either the team can be told to do something in a certain way or it can be shown and when it comes to gaining knowledge of new technology, it is best to do it first.

2. Don’t Be Restricted To Performance Only

The performance problems can create a limitation in the process of software development while creating situations that did not even exist before. Within an organization, data moves across multiple data centres and travels far.

As the information moves and the systems are faced with network problems, latency, or network pipes, applications are supposed to be constructed in a way that they become sufficient as wide area network resources on every step. This challenge becomes particularly troublesome with the public cloud because customers do not control the size of the pipe coming into the provider’s site.

The thing with cloud computing is that it runs on numerous servers and in some of the extremely large data centres. All developers must be aware of and design while keeping the potential lag time in mind while the information flows on the web, data, and application servers.

Besides this, computers can run in modes that can affect performance. The application design should account for potential server load for making sure that the system is contingent on the service level agreement objectives.

3. Security Is Important

It is pretty normal for the security models to keep changing in the cloud every now and then. The cloud is in fact known for employing identity-based security models and technologies. However, one must learn to extend the benefits of security to the DevOps tools and organizations at the same time.

Ensuring security must be made an important part of the automated testing. It should be built into continuous integration and continuous deployment processes such as those that move to the cloud-based platform.

If a person can afford it then hiring or appointing a security officer responsible for managing the security within DevOps in the cloud can be helpful.

4. Choosing DevOps Tools That Work With Cloud

Choosing DevOps Tools

It must be acknowledged that the DevOps tools are available on-demand, on-premise or they are part of a larger public cloud platform. At the time of selecting tools, most people prefer being restricted to just one cloud platform.

While taking the cloud consulting services, it is best to not be restricted to just one cloud platform. In the long run, it always pays well to get the applications deployed on many different clouds.

This way, one can pick and select the best cloud computing options to do the job. One must not limit his/her choices to make sure that the best advantages are availed.

5. Services and Resource Streamlining

Services and Resource Streamlining

A proper management or streamlining of resources gets overlooked very often when it comes to DevOps and cloud computing. This mostly happens when the number of services, APIs and resources keep growing until a point that it becomes too difficult to manage everything.

This number is reliant on the kind of services and resources under the management but it is possible to hit it during the first year of operations with DevOps in the cloud. To ensure the right management of services and resources, it is important to build a governance infrastructure much before you need it.

These are the tools that differ in features and functions but also offer services and resource directory that is the reason for streamlined management. The best thing is that these tools offer a place for creating policies that govern the leveraging of services like the times and data that can be accessed and so on.

6. Cloud Transformation

Cloud Transformation

It is a common belief within many organizations that DevOps and cloud are able to save the organization money and that can, in turn, be used for funding the transformation. This kind of budgeting might make the overall impact of the annual IT budget simple to manage.

However, this method is not applicable to get the DevOps and cloud projects off the ground which means that the project can fail as well. The fact of the matter is that DevOps in the cloud is suitable for offering the projected cost savings that are needed for investing during the initial years.

Where the normal operations are ongoing, the DevOps and cloud computing projects must be functioning independently for some time. This enables the entire cloud approaches and technologies to prove their worth and understand everything before phasing into production.

7. Using Containers

Using Containers

The use of containers provides a way to put the applications in application components so that they become portable and are easily managed. The developers must integrate the containers in the DevOps as a reliable cloud strategy.

It is always best to spend a significant amount of time with the technology for understanding what works and what does not while targeting the right use of technologies. In addition, one must always be sure to think about factors such as governance, security, orchestration, and cluster management as part of a platform that leverages the containers.

This does not mean that the containers will be suitable for the way an application is built and deployed. It means that one must consider the value of application architecture, the standards, and enabling technology so that no possible value is missed in the technology.

8. Applications Must Be Cloud-Native

Cloud Native Applications

For taking maximum benefit of the cloud platform based on the infrastructure as a service and the platform as a service model, it is necessary to design applications in a way that they are decoupled from any physical resources.

The cloud can definitely offer an abstraction or a virtualization layer between the application and the physical resources irrespective of whether they are designed or not. However, that is not good enough.

When a decoupled architecture is considered in the design, it becomes important to understand the efficacy of the software development and deployment stages along with the utilization of the cloud resources.

The efficiency of cloud computing is beneficial for saving money because an organization is only eligible to pay for resources that are being used. This makes the applications run faster and generate small cloud service bills at the end of the month.

Conclusion

All organizations that wish to reduce the application development time must use the cloud platforms. Adopting a cloud-first approach for development requires companies to evaluate any unneeded assumptions. All traditional processes get replaced with a committed IT department.

Choosing a cloud requires the developers to increase their skill set and understand the cloud so that the competency to include the fundamental IT processes can be expanded. The best part is that with the assistance of expert cloud consulting services, this becomes easy and possible.

If you also wish to pay more attention to the cloud-first approach while putting into practice, companies such as Encaptechno can be extremely helpful for getting expert cloud consultation.

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What is CI & CD - A Brief Guide - Encaptechno

What is CI/CD? – A Brief Guide

What is CI & CD - A Brief Guide - Encaptechno

Continuous integration and continuous delivery, deployment, collectively known as CI/CD count as an integral part of modern software development that is intended to decrease errors at the time of integration and development done to increase project velocity. CI/CD is actually a philosophy and a set of practices that are often augmented by robust tools that focus on automated testing at each stage of the software pipeline.

With the incorporation of CI/CD in your practice, you can reduce the time needed to integrate changes for a release and thoroughly test the change before moving into production. CI/CD comes with many advantages, but successful implementation needs a careful plan and a well thought of consideration. Choosing how to use the continuous integration tools and the changes that are needed in the environment or process can be pretty challenging without trial and error. That being said, sticking to the best practices can be helpful in avoiding common problems and attain quick improvement.

In this blog, we will have a comprehensive understanding of CI/CD to serve the organization’s needs. Before jumping to other things, let us first understand the meaning of continuous integration and continuous delivery, deployment independently.

Continuous Integration

Continuous integration is a method by which the developers combine their code into a shared repository multiple times in a day. For the verification of the integrated code, automated tests and builds are run for it.

Continuous Delivery

Continuous delivery is a method by which the development teams make sure that software is reliable for release at any time. The software is made to pass through an automated testing process and if that happens successfully then it is said to be ready for release into the production phase.

Continuous Deployment

The last and final stage of a mature CI/CD pipeline is that of continuous deployment. It is actually an extension of continuous delivery which automates the release of a production-ready build into a code repository because continuous deployment automates releasing an application to production. Since there is no manual gate at the stage of the pipeline before the production, continuous deployment is dependent on well-designed test automation.

What is CI/CD Pipeline?

CI-CD Pipeline

CI/CD pipeline is actually a significant part of the modern DevOps environment. It is a deployable path that the software allows on the way to its production with continuous integration and continuous delivery practices. It is a development lifecycle for software and includes multiple stages through which a software application actually passes.

The CI/CD pipeline comprises of the following stages:

  1. Version Control: This phase of the CI/CD pipeline is where the code is written by the developers and is committed through version control software. In this step, the commit history of the software code is controlled so that it can be changed if there is a need.
  2. Build Phase: The build phase of the CI/CD pipeline is the one in which the developers build their code and then move on to passing this code through a version control system. After this, the code actually returns to the build phase and enters the position of compilation.
  3. Unit Testing and Staging: When the software reaches this step, there are various tests that are performed to ensure that the software is functioning well. One of these tests is called the Unit test in which each unit of the software gets tested. After the successful testing, the staging phase is in the position to begin again. As the software passes this test, it is ready to be deployed into the staging process again. The software code is deployed to the staging environment/server so that the code can be viewed before the final tests are conducted.
  4. Auto Testing: After the software has passed to the staging environment, another set of automated tests are prepared for the software. It is only when the software completes these tests and is proved deployable that it is sent to the next step, which is called the deployment phase.
  5. Deployment: As the auto testing procedure reaches its completion, the next step is the deployment of the software to production. In case of any errors during the testing or the deployment phase, the software gets sent back to the version control phase so that the development team can check for any possible errors. If there are any errors then they are fixed right at that moment. Other stages may also be repeated if there is a need.

What are CI/CD tools?

What are CI & CD tools

The CI/CD process must be automated to get the best possible results. Numerous tools help in automating the process so that the entire thing can be done precisely and with minimal effort. These tools are mostly open-source and are designed to assist with collaborative software development. Some of these tools are:

  • Jenkins: One of the most commonly used tools for the CI/CD process, Jenkins is one of the earliest and most powerful continuous integration tools. It comes with various interfaces and inbuilt tools that help in the automation of the CI/CD process. In the beginning, it was introduced as a part of a project called Hudson, which came out in 2005. Then it was officially released as Jenkins in 2011 and has a vast plugin ecosystem that helps in delivering the features we need.
  • GoCD: An open-source tool that helps the development teams in the process of continuous delivery and continuous integration, GoCD was released with the name Cruise in 2007 by the name ThoughtWorks. It was renamed GoCD in 2010.
  • CircleCI: CircleCI is becoming one of the best-built platforms which is hosted in the cloud and is a modern tool for the CI/CD process. One of the latest features is called CircleCI Orbs. It has sharable code packages which help in building easily and quickly.
  • Buddy: One of the latest continuous integration tools, Buddy is designed for developers for lowering the entry threshold in DevOps. Officially launched in the year 2015, Buddy was released as a cloud-only service. Although it does not use the YAML configuration, it also supports .yml files.
  • GitLabCI: One of the famous continuous integration tools, GitLabCI is a web-based DevOps tool that provides a Git-repository manager, which helps in managing the git repositories. This was integrated into the GitLab software after being a standalone project that was released in September 2015. The CI/CD process is defined with a code repository and there are some tools called runners that are used to complete the work. 

Benefits of CI/CD

Benefits of CI & CD

  1. Easy Debugging and Change: It is very simple to debug and change the codes when there are small pieces of codes that are continuously integrating. The pieces can be tested while continuously integrating them into the code repository.
  2. Software Delivery and Speed Increases: With the help of CI/CD, the speed of software release and delivery gets increased along with the software development. After this, the process of software released becomes reliable and frequent.
  3. High-quality Code: The quality of code increases because it is tested each time it gets integrated with the code repository. The development becomes much safer and reliable. Additionally, CI/CD pipeline automates the integration and testing work because a lot more time can be spent on increasing the quality of code.
  4. Cost Reduction: CI/CD helps in automating the development and testing process so that the effort of testing and integration gets reduced. These errors are reduced due to automation and it saves time and cost of the developers. This saves time and cost that can be applied to improve the code quality.
  5. Enhanced Flexibility: With CI/CD, the errors are found quickly and the product can be released a lot more frequently. This flexibility helps in adding new features. With automation, new changes are in a position to get adopted quickly and easily.

What are the Best Practices in CI/CD?

The CI/CD process has some of the best practices that greatly improve the performance of the process while adhering to avoiding some of the common problems. These best practices are:

  1. CI/CD should work independently: It is important for CI/CD to be made the only way responsible for deployment to production. In the case of CI/CD, the failures are prompt and the production process can be stopped until the cause of failure is explored and solved. This is an important mechanism that keeps environments safe from any distrustful code. It is a process that works independently for software development, integration, and delivery work. Therefore it comes with distinct advantages like automation and quick functioning over other processes.
  2. Quick tests should run early: There are some of the bests that run comparatively faster than others. It is necessary that these tests run early. Running these tests first assists in finding the errors easily. It is important to find these errors in software development at the earliest so that any future problems can be prevented.
  3. Local running of tests: The developers must adhere to the habit of running all tests locally before committing or sharing them in the CI/CD pipeline repository. This step is beneficial because it helps in troubleshooting all problems before they are shared with others, which is an advantage for the developer.
  4. Fast CI/CD pipeline: The CI/CD pipeline is one of the most important parts of the process and for this reason, it is responsible for quick integration and delivery process. Methods must be found to enhance the speed and optimization of the pipeline environment.
Conclusion:

Conclusion- What is CI-CD

CI/CD is the best practice for the DevOps team to implement. In addition, it is an agile methodology that facilitates the development team to achieve all business requirements, the best quality of code, and the security because the deployment steps are automated.

CI/CD assists the teams to become a lot more productive when shipping the software with quality built-in. However, the road to having one-click deployments can be produced on demand and is certainly not an easy one. This is mainly because even though these continuous integration tools can help in achieving CI/CD a lot more effectively, there is a need for a cultural change and that comes when all people in the team understand that change very well.

Encaptechno works to help organizations unleash maximum productivity and results with the implementation of CI/CD. In case you want to know more about CI/CD implementation then get in touch with us.

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What is Cloud Computing? – A Detailed Overview

Cloud computing is a computing paradigm in which a large number of computers are connected to each other in private or public networks for providing dynamically scalable infrastructure of data, files, and application storage. With the inception of this technology, the total cost of computation, content storage, application hosting, and delivery gets reduced significantly.

What is Cloud Computing - Encaptechno

This technology is highly recommended because cloud computing offers a practical approach for experiencing direct cost benefits and has the potential to transform a data center from a capital intensive set up to a variable priced environment. The entire idea of cloud computing relies on a very fundamental rule and that is the re-usability of IT capabilities.

Additionally, the reason why cloud computing stands out in comparison to the traditional concepts of grid computing, utility computing, autonomic computing, and distributed computing is that it broadens horizons across organizational boundaries. An apt way to define cloud computing is as a pool of abstracted, managed and extremely scalable compute infrastructure that is capable of hosting end-customer applications.

Examples of Cloud Computing:

Cloud computing highlights a vast number of services that include customer services like Gmail or the cloud backup of photos on smartphones, which allow all enterprises to host their data and run applications in the cloud.

Another big example of cloud computing comes integrated in AWS cloud and azure cloud services. Netflix depends on cloud computing to run its video streaming service and business systems along with having a number of other organizations.

Today, cloud computing has turned into a default option for many applications. For example; software vendors are increasingly providing their applications as services on the internet as compared to the standalone products while switching to a subscription model.

Types of Cloud Services:

Cloud Computing Overview

Irrespective of the kind of service that we might be talking about, the most popular cloud computing services such as AWS cloud and azure cloud services include a series of functions such as storage, backup, data retrieval, email, audio, and video streaming, delivering software on demand, analyzing data, etc.

The relevancy of cloud computing is such that it is used by a number of organizations ranging from big corporations to small businesses, individual consumers, and even small businesses.

Why Is It Referred To Cloud Computing?

A significant concept behind cloud computing is that the location of service and many details such as the hardware or the operating system on which it runs are mostly irrelevant to the user. With this in mind, the metaphor of cloud was borrowed from old telecoms network schematics in which the public telephone network was often represented as a cloud. This is an oversimplification of course because for many customer locations of services and data remains a serious issue.

History of Cloud Computing:

As a term, cloud computing is being used since the early 2000s, but the concept of computing as a service has been around since the 1960s. This was the time when the computer bureaus would enable companies to rent time on a mainframe, rather than having to buy a new one for themselves.

These time sharing services were mostly overtaken by the rise of PC, which made owning a computer a lot more affordable and in turn with the rise of corporate data centers where companies stored vast amounts of data.

The concept of renting access to computing power has resurfaced again and again in the application service providers, grid computing and utility computing of the late 1990s and early 2000s. This was then followed by cloud computing which really took hold with the rise of software as a service and hyper-scale cloud computing providers such as AWS cloud.

Importance of Cloud:

Building infrastructure for supporting cloud computing contributes to more than over a third of all IT costs worldwide. Simultaneously, spending on the traditional and in house IT continues to slide over as a major computing workload moves to the cloud, whether that is public or cloud services offered by the vendors or the private clouds built by enterprises themselves.

Around one-third of the IT costs will be on hosting and cloud services which indicate a growing reliance on external sources of application, management, infrastructure, and security services. The global enterprises using cloud are slated to adopt it completely by the year 2021.

Additionally, global spending on cloud services is going to reach over $260 billion since it is growing faster than the expectations of analysts. However, it is not completely clear how much demand is coming from businesses that are actually willing to move to the cloud and how much is being created by vendors who offer cloud versions of their products.

Characteristics of Cloud Computing:

– Elasticity: Companies can very easily and freely scale up as the computing must increase and scale down as the demand decreases. This eliminates the need for huge investments in the local infrastructure, which might or might not remain active.

– Pay per use: The resources are measured at a granular level allowing users to pay only for the resources and workloads that are used.

– Workload resilience: The cloud service providers very often implement redundant resources for ensuring storage and keeping the important workloads running across multiple global regions.

– Migration flexibility: Organizations can move certain workloads from and even to the cloud or different cloud platforms just as it is desired. This helps in better cost savings and using new services just as they emerge.

– Self-service provisioning: The end users can spin up the computing resources for any kind of workload on-demand. An end-user can also provision computing capabilities like server time and network storage eliminating the need for IT administrators to manage or provision resources.

– Multi-tenancy and resource pooling: Multi-tenancy enables multiple customers to share the same physical infrastructures or applications while retaining privacy and security over the data. With the help of resource pooling, the cloud providers help in servicing many customers from the same physical resources. The resource pools of cloud providers are large and flexible enough so they can service the requirements of multiple customers.

– Broad network access: A user can access the cloud data or upload data to the cloud from anywhere with the help of an internet connection and any device.

Benefits of Cloud Computing:

Benefits of Cloud Computing

Cloud computing comes with many attractive benefits for businesses and end-users. Some of the most important benefits of cloud computing are:

1. Cost Savings: Using cloud computing can help in massive cost savings as organizations no longer have to spend a huge amount of money on maintaining or buying equipment. Further, this also reduces capital expenditure costs as there is no longer any need to invest in facilities, utilities, hardware, or building large data centres for accommodating growing businesses.

In addition, since growing companies do not need large IT teams for handling cloud data centre operations; they can easily rely on the expertise of the cloud provider’s team. Cloud computing cuts down any costs related to downtime. Since downtime happens rarely in cloud computing, the companies are no longer required to spend money and time fixing any issues that might be linked to downtime.

All in all, there are many reasons that can be attributed to lower costs with cloud technology. The billing model is pay as per usage and the infrastructure is not purchased which lowers the maintenance cost. The initial and recurring expenses come out to be much lower than traditional computing.

2. Increased Storage: With the huge infrastructure that is offered by all the cloud providers in the present time, maintenance, and storage of large volumes of data is a reality. Additionally, the sudden workload raises are also managed efficiently and effectively since the cloud can actually scale dynamically. 

3. Disaster Recovery: Many organizations worry about data loss. Storing data in the cloud guarantees users can always access their data even if the devices like smartphones and laptops are inoperable.

With cloud-based services, organizations can recover data in the event of emergencies like power collapse or natural disasters very quickly.

4. Flexibility: Flexibility can be counted as an exceptionally significant benefit of cloud computing. With so many enterprises in the need to adapt to the changing business conditions all the more rapidly, the speed to deliver has become critical.

Cloud computing pays extreme importance on getting the applications to market at a quick pace with the use of suitable building blocks considered necessary for deployment.

5. Mobility: Storing the information in the cloud implies that the users can access it from anytime and anywhere with the help of an internet connection. This further means that the users are not required to carry any USB drives around because CDs and external hard drives are enough for accessing data.

The users can also access corporate data through smartphones and other mobile devices while enabling remote employees to stay up to date with their co-workers and customers. The end users can also recover, retrieve, and process resources in the cloud. Moreover, the cloud vendors offer all upgrades and updates automatically, which saves both effort and time.

Cloud Computing Models:

The cloud providers give services that can be majorly grouped into three important categories. These services are as below:

1. Software as a Service (SaaS): In the SaaS model, a comprehensive application is provided to the customers as a service on demand. An important instance of this service runs on the cloud and so many end users are serviced. On the side of the customers, there is absolutely no need for any direct or upfront investment in the servers or software licenses.

However, for the service providers, the costs are lowered, since only a single application is hosted and maintained. SaaS is provided by many prominent companies such as Salesforce, Zoho, Google, Microsoft, etc.

It is expected that the customer relationship management applications and enterprise resource management applications are more than likely to account for more than 60% of all cloud applications until 2021. The number of applications delivered through SaaS is massive right from CRM like Salesforce to Microsoft’s Office 365.

2. Platform as a Service (PaaS): In this service, a layer of software or the development environment is enclosed and offered as a service over which the higher levels of services can be created. The customers have all the freedom to build different applications that run on the infrastructure of the provider.

Keeping the underlying storage, virtual servers, and networking including the tools and software applications intact, the developers build the applications. This could include database management, development tools, operating systems, middleware, etc.

In order to meet the scalability and manageability requirements of the applications, the PaaS providers provide a predefined combination of application servers and OS such as restricted J2EE, Ruby, LAMP platform, etc. Some of the best examples of PaaS are Google’s App Engine and Force.com, etc.

3. Infrastructure as a Service (IaaS): IaaS can be referred to as the most important and fundamental building blocks of computing that can be rented. These are storage, networking, and virtual servers. This model is preferred by many companies that are interested in building applications from the basic level and wish to control all elements on their own.

However, this also requires companies to have the technical skills that are important for orchestrating services at that particular level. On the basis of many dedicated types of research done in the past; it has been found that IaaS users claim that using online infrastructure is a lot easier because it cuts down the time needed for deploying new applications or services while reducing the on-going maintenance costs.

IaaS offers basic computing capabilities and storage such as standardized services over the network. The storage system, networking equipment, data center space, etc. are all pooled together and made available for taking over the workload. The customer is then asked to typically deploy the software on infrastructure. Some of the examples of IaaS are AWS cloud, 3Tera, etc.

Cloud Computing Deployment Models:

There are different types of cloud models, each of which proves to be different from the other. Gaining a comprehensive understanding of these models can help in deploying applications on Public, Private and Hybrid clouds. Additionally, it will also help you in finding out the right cloud path for each organization.

1. Public Cloud: The public cloud model is mostly operated and owned by the third parties because it helps in delivering superior economies of scale to the customers as the infrastructure costs get spread amongst a mix of users while giving all individual clients a low cost, “pay as you go” model.

All the customers share a similar infrastructure pool with very limited configuration, availability variance, and security protection. Furthermore, the private cloud is supported and managed by the cloud provider. One of the most important benefits of public cloud is the fact that although it might be larger than the enterprise cloud, it has an ability to scale seamlessly and on-demand.

2. Private Cloud: The private cloud system is built exclusively for a single enterprise. The aim of the private cloud system is to address the data security and offer greater control which is mostly lacking in a public cloud. Private cloud has two major variations which are:

– On-premise Private Cloud: The on-premise private cloud also popularly known as the internal cloud is hosted within one’s own data center. This model offers particularly standardized protection and process, but it is limited in the aspects of size and scalability. The IT departments are required to incur the capital and the operational costs for all physical resources in the on-premise private cloud. It is suitable for applications that require complete configuration and control of security and infrastructure

– Externally Hosted Private Cloud: The externally hosted private cloud is the one that is built by hosting externally with a cloud provider where the provider is in charge of facilitating an exclusive cloud environment with a complete guarantee of privacy. It is the most suitable for enterprises that do not prefer a public cloud due to sharing physical resources.

3. Hybrid Cloud: The hybrid cloud model is responsible for combining both the private and public cloud models. With the implementation of a hybrid cloud, the service providers can use any third-party cloud providers in a complete or partial manner while increasing the flexibility of computing.

The hybrid cloud environment has a distinct capability of offering an on-demand and externally provisioned scale. The combination of augmenting a private cloud with the resources of a public cloud can be utilized to manage any kind of unexpected increase in the workload.

The main goal of the hybrid cloud model is to create an automated, scalable and unified environment that can take the advantage of everything that a public cloud is capable of providing while still controlling the data in an efficient manner.

4. Multi-Cloud: The multi-cloud deployment model of cloud computing allows different applications to migrate between cloud providers or to operate simultaneously over two or more cloud providers. Many organizations are increasingly adopting a multi-cloud model with the use of multiple IaaS providers.

Organizations implement the multi-cloud deployment model for many reasons. For example; it helps them in reducing the risk of a cloud service outrage or gaining competitive pricing from another provider.

Businesses and Cloud Computing:

Business and Cloud Computing

Businesses can employ cloud computing in many different ways. While some of them maintain all applications and data on the cloud, others can use a hybrid model and keep all applications and data on private servers. When it is about offering services, some of the most prominent cloud computing services are Google Cloud, AWS cloud (Amazon Web Services), IBM Cloud, Alibaba Cloud, Microsoft Azure cloud services, etc.

AWS Cloud is completely public and includes a pay as you go, outsourced model. As the person is on the platform, you can sign up for the applications and any additional services. On the other hand, Azure Cloud services enable the clients to keep some data on their own sites.

More and more companies are adopting cloud services which is leading to a rapid growth of the cloud market. It is predicted that many organizations are more than likely to migrate the mission-critical workloads to public clouds. One of the reasons for this is the fact that business executives want to make sure that their companies can compete in the new world of digital transformation.

Furthermore, business leaders are also keen on taking advantage of the public cloud for the modern computer systems, elasticity, critical business units, and the DevOps teams. Cloud providers such as IBM and Google are focused on meeting the needs of IT enterprises by removing any barriers to public cloud adoption that might cause any IT decision-makers to restrict the adoption of the public cloud.

Conclusion:

Keeping the long history of cloud computing intact, it is still standing at a relatively early stage of adoption. Many companies are on the fence considering which applications should be moved and when. However, the usage is expected to climb only if the organizations get more comfortable with the idea of data being at a point other than a server in the basement.

That being said, the cloud vendors are increasingly on the look-out of pushing cloud computing as a medium of digital transformation instead of focusing just on the cost. Moving to the cloud can assist the companies to rethink all of their business processes and accelerate the business change by breaking down the organizational and data silos.

The adoption of cloud is definitely aimed at bringing a multitude of benefits and a streamlined working process. Hence, enterprises must take its adoption very seriously.

Encaptechno is a company that offers the best implementation of cloud services to enterprises. Our team comes with extensive experience in enabling many enterprises to adopt cloud services in a way that helps them to improve many business processes.

Get in touch to know more by calling us at +1-416-405-8185 or emailing at [email protected]

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AWS Vs Azure Cloud Comparison

AWS vs. Azure: Cloud Computing Platform Comparison

AWS Vs Azure Cloud Comparison

The implementation of cloud computing has rapidly grown to be key driving energy for today’s businesses, as applications are migrated from on-premise data centers in a desire to innovate, reduce expenses, and boost agility. Infrastructure-as-a-service (IaaS) serves as a model, where a third-party service maintains and hosts central infrastructure, consisting of hardware, software, storage, and servers on behalf of a client. Generally, this practice includes the hosting of applications in an extremely scalable environment, where customers get charged only for the infrastructure that they use.

Early issues regarding security and data governance have largely been handled by the two leading public cloud vendors – Amazon Web Services (AWS) and Microsoft Azure – with only the most significantly monitored businesses enduring to cautiously rise when it comes to the adoption of cloud services.

Table of Contents

 

Overview
What is AWS?
What is Azure?
Table of Comparison between AWS and Azure
Detailed Comparison between Key Functionalities
Conclusion

 

Overview

Several organizations need to know the comparison of AWS and Azure before they decide which cloud is best to get started with to fulfill their cloud computing needs. However, in reality, this is not a technology decision. Both AWS and Azure are powerful performers with similarities in nearly 99% of the use cases. Selecting between Azure and AWS is something more than a business decision and relies on the needs of the organization.

For example, if an organization requires a powerful Platform-as-a-service (PaaS) provider or any Windows integration, Azure would be preferred, while if an enterprise requires an infrastructure-as-a-service (IaaS ) or assorted set of tools then AWS might be the finest solution. Nowadays, another parameter taking immense popularity to make a decision is how much integral analytics tools are accessible on these platforms.

What is AWS?

 

Amazon Web Services (AWS) is a cloud service platform by Amazon that offers services in various domains like compute, delivery, storage, and other capabilities, which help the businesses to scale and develop. These domains can be utilized in the form of services to create and deploy diverse types of applications in the cloud environment in such a way that they collaboratively generate a scalable and competent outcome. AWS offerings are classified into three categories that are: Infrastructure as a service (IaaS), Software as a service (SaaS), and Platform as a service (PaaS).

What is AZURE?

 

Microsoft Azure is a cloud service platform from Microsoft that also offers services in various domains such as compute, storage, database, developer tools, networking, and other functionalities. Azure services are also classified as the Platform as a service (PaaS), Software as a service (SaaS), and Infrastructure as a service (IaaS), utilized by developers and software engineers to create, deploy and manage services and applications in the cloud environment.

Detailed Comparison Between Key Functionalities

 

1. Compute

 

The fundamental roles of a computer are: Calculate, process, and compute. The right cloud service provider can help scale up to 1000’s of processing nodes in a few minutes. The organizations requiring faster data analysis or graphics interpretation, two choices are available- either purchase additional hardware or migrate to the cloud, which is the motive of public cloud services.

AWS’ primary solution for computing is EC2 that provides scalable computing on-demand and can be customized for various services such as the EC2 container service, AWS Lambda, Autoscaling, and Elastic Beanstalk for app deployment. While the compute offerings by Azure are based on VMs with multiple other tools like Cloud Services and Resource Manager that help to deploy applications on the cloud.

AWS still offers the broadest range of services, more than 100 across compute, storage, database, analytics, networking, mobile, developer tools, management tools, security, IoT, and enterprise applications.

2.Storage

 

Key functionality of cloud service providers is storage capacity. Running services in the cloud encompass data processing, which needs to be stored at some point in time. AWS’ storage services run longer; however, Azure’s storage functionalities are exceptionally reliable. Both Azure and AWS are robust in this capability and engross all the necessary features like server-side data encryption and REST API access. Azure’s storage mechanism is known as Blob storage, and AWS’s is known as Simple Storage Service (S3).

AWS’s cloud object storage solution presents high availability and automatic duplication across different regions. Temporary storage in AWS begins operating when an instance initiates and stops when an instance ends. It also gives block storage like hard disks and can be connected with any EC2 instance or kept aside. Azure utilizes page blobs and temporary storage for VM based volumes. Its Block Storage option is similar to S3 in AWS, where two types of storage are offered by Azure that is hot and cool. Cool storage is moderately less costly than Hot, but one has to acquire extra read and write costs.

3. Pricing

 

The price of the platform is a key factor of attraction for organizations planning a shift to the cloud. With the growing competition amongst cloud service providers, there has been a constant descending trend on cost since recent times now. Both AWS and Azure provide free startup tiers with limited usage limits that allow users to experience and use their services before they can actually buy.

AWS offers a pay-as-you-go model and charges per hour while Azure’s pricing model is also pay-as-you-go, but they charge per minute. AWS can ensure more savings with increased usage- as the more you use, the less you pay. You can buy AWS instances based on one of the following models –

  • Reserved Instances– Paying a fixed price based on the use- you can reserve an instance for 1 to 3 years
  • On-demand Instances- Pay for the functionalities that you use without paying any fixed cost
  • Spot Instances- Tender extra capacity based on the availability

Azure offers short-term proposals to its users, enabling them to select between prepaid or monthly charges. When it comes to the pricing model, Azure is a little less flexible than AWS.

4. Database

 

Nowadays, all software applications need a database to store information. Both Azure and AWS provide database services, irrespective of whether you require a relational database or a NoSQL. RDS (Relational Database Service) by Amazon and Microsoft’s similar SQL Server database both are highly accessible & durable and also present automatic replication.

AWS works seamlessly with NoSQL and relational databases, presenting a mature cloud environment for big data. AWS’ core analytics service, EMR, a managed Hadoop, Spark, and Presto solution, helps to set up an EC2 cluster and enables integration with different AWS services. Azure also supports NoSQL and relational databases both as well as Big Data via Azure HD-Insight and Azure table. Azure offers analytical products through its exclusive Cortana Intelligence Suite that is accessible with Hadoop, HBase, Storm, and Spark.

Amazon’s RDS supports six popular database engines- MariaDB, MySQL, Amazon Aurora, Microsoft SQL, PostgreSQL, and Oracle, while Azure’s SQL database service is only based on MS SQL Server. The interface and tools of Azure make it easy to execute different DB operations while AWS has more assortments of instances that you can stipulate and obtain extra control over DB instances.

5. Content Delivery and Networking

 

Each cloud service provider offers several networks and partners that integrate the data centers across the world through various products. AWS offers Virtual Private Cloud (VPC) for users to make isolated networks within the cloud. Within VPC, users can generate route tables, private IP address ranges, subnets, and network gateways. Similarly, Azure provides Virtual Network (VNET) for users to produce isolated networks. Both providers present firewall options and solutions to expand on-premise data centers into the cloud.

Conclusion

 

The above-stated comparison has put some light on various functionalities of AWS vs. Azure. There is no clear winner in the race of cloud service providers, as organizations always have the opportunity to select the most important features from each of them to facilitate a multi-cloud strategy. Companies require high service uptime and flexibility to leverage the hosting of multiple data centers.

Comparing Azure and AWS is extremely difficult as both continuously launch new pricing structures, new products, and new integrations frequently. The decision to choose either of the platforms will depend on the needs of organizations. Despite the consequences of the comparisons, concluding the right public cloud service provider needs thorough research on what the organization really needs.

Getting confused about selecting the one? Get expert advice with AWS and Azure Consulting at Encaptechno today!

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