Understanding The Relationship Between AWS And DevOps

AWS

The Relationship Between AWS And DevOps :

DevOps is a methodology that believes in speeding up the software development process to roll out features and specifications by removing the siloes that existed earlier between the operations and the development teams. 

Companies have hugely benefitted from implementing the DevOps ideology to their software development and release cycles. Then there is Cloud Computing, which has transformed the IT industry entirely. There are many cloud service providers like AWS (Amazon Web Services) from Amazon, Azure from Microsoft, and GCP (Google Cloud Platform) from Google. AWS has been the market leader for many years in a row and keeps to continue its domination for a very long time. Cloud vendors offer on-demand services like computing, database, storage, analytics services, DevOps, ML, AI, Big Data services, etc.  If you are wishing to master AWS DevOps.

There are various advantages of pairing DevOps with AWS, and here we will discuss each of them in detail to help you understand better about AWS DevOps. 

Scalable Solution

AWS Solutions are scalable from the bottom-up. They are planned and designed for scalable solutions. The DevOps team can now rely on AWS to quickly expand or shrink their resources to match their demand. DevOps team can now plan and allocate resources for any project or app, say like thousands of instances instantly. 

Unlike traditional methods, wherein you had to rent or procure physical hardware like servers to handle your data and workload. AWS is a cloud service provider, thus offering much more scalable solutions than the traditional approach. AWS, in general, offers massive flexibility for all of your resource allocations. During a cloud project, you can go for vertical scaling (wherein you can add resources to an instance). And even horizontal scaling (wherein you can provision resources to any global location that has an AWS region or locations). 

This level of scalability and flexibility helps a DevOps team to properly allocate resources to various instances and provide resources to reduce latency for targeted customers in a global location. 

Automation

Automation is one of the major pillars of DevOps. It focuses on automating all those tasks that are manual, time-taking, repetitive, redundant, etc. Automation is what brings down the software development time. It helps in cutting down time wasted unnecessarily on doing things that don’t increase the value. AWS has many tools that help in automating many processes. Tools like AWS CodeDeploy help you automate deployments, workflow testings, and many such manual tasks. 

The automated tasks all can be managed via AWS Management Console or the AWS CLI. These offer you detailed reports and other necessary information. With the cloud, scaling up or down has become a very easy affair. Downtime could be avoided by implementing automated instance provisioning scripts. It will help your DevOps team to focus on more mission-critical tasks because you are free from working on downtime and other small issues which could be automated. 

Enhanced collaboration

DevOps has broken down all the walls between the development and operations teams. And this has paved way for faster software roll-out with enhanced collaboration. DevOps focuses more on collaboration to get the job done faster. 

Because earlier with the traditional approach to developing software/ applications, it took them many months to finally roll out all the features and specifications of the software. The main reason behind such a long delay is there was a wall separating the operations and the development teams so both the teams were not aware of their goals and kept trying to solve the same problem without luck. 

DevOps introduced this collaboration methodology that happens to solve any problem at the initial stages without allowing a small issue to grow any bigger. Because if any issue is solved earlier, it increases the accuracy and efficiency of the total process. 

AWS has Identity and Access Management (IAM) which helps the DevOps team to set individual permissions and policies which helps in taking up granular-level control of the project. All of these AWS DevOps collaborations happen within a secure environment. It allows the team to share their responsibility as they integrate, identify and solve the problems together. 

Presence of Developer-specific tools 

AWS is the market leader that offers features that are tailored for DevOps. We will discuss two AWS Services here: 

CodePipeline:

This service is important for developers who use AWS. It is a continuous integration and delivery service. This service helps in delivering the features and updates in the most streamlined way possible. This service can also be integrated with 3rd party tools like GitHub, etc., which increases its handiness. 

CodeBuild:

AWS has another service that eliminates the need for provisioning and managing servers to build and test code. The teams can use CodeBuild to compile the source code, test it, and create software packages for deployments. 

Leave a Reply

Your email address will not be published. Required fields are marked *