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Technology has evolved with time. And with technology, the ways and needs to handle technology have also evolved. Last two decades have seen great shift in computation and also software development life cycles. Today’s blog focuses on one such approach known as DevOps and AWS DevOps in particular.
This blog focuses on following points:
So let us get started then, shall we?
In these fast-paced times, we see more emphasis being laid on faster delivery of software deployment. Because in order to stay competitive in the market the companies are expected to deploy quality software in defined timelines. Hence the roles of software developer and system admin have become very important. A lot of juggling of responsibilities happens between the two teams. Let us take a look at how do these individuals contribute to the deployment process.
A programmer or a software developer is responsible for developing the software. In simple words he is supposed to develop a software which has:
But a developer may have to wait for weeks for the product to get deployed which is also known as ‘Time To Market’ in business terms. So this delay may put pressure on the developer because he is forced re-adjust his dependent activities like:
Also when the product is put into the production environment, the product may exhibit some unforeseen errors. This is because the developer writes code in the development environment which may be different from the production environment.
Let us go ahead and take a look at this process from the operations point of view. Now the operations team or the system administrators team is responsible for maintaining and assuring the up time of the production environment. Now as the company invests time and money in more products and services, the number of servers, admins have to take care of also keep growing.
This gives rise to more challenges because the tools that were used to manage the earlier amount of servers may not be sufficient to cater the needs of upcoming and growing number of servers. The operations team also needs to make slight changes to the code so that it fits into the production environment. Hence the need to schedule these deployments accordingly also grows, which leads to time delays.
When the code is deployed the operations team is also responsible to handle code changes or minor errors to the code. At times the operation team may feel pressurised and it may seem like developers have pushed their responsibilities to the operations side of the responsibility wall. As you may come to realise that none of the sides can be held culprit.
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What if these two teams could work together? What if they:
Well, this is what DevOps does, it helps you get software developers and operations in sync to improve productivity. To simply define it with jargon terms. DevOps is the process of integrating Developers and Operations teams in order to improve collaborations and productivity. This is done with automation of workflows and productivity and continuous measurement of application performance.
DevOps focuses on automating everything that lets them write small chunks of code that can be tested, monitored and deployed in hours which is different from writing large chunks of codes that takes weeks to deploy. So this was about DevOps. Let us move ahead and understand what is AWS and how it forms a crucial pairing with DevOps to give you AWS DevOps.
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If you go back a decade, the scenario of handling or more precisely storing data was different. Companies preferred storing data using their private servers. However, with more and better usage of internet, the trend has seen a paradigm shift for companies, as they are moving their data to cloud. This enables companies to focus more on core competencies and stop worrying about the storing and computation. These two points below talk about the significance of cloud:
Fact: Netflix is a popular video streaming service which the whole world uses today, back in 2008 Netflix suffered a major database corruption, and for three days their operations were halted. The problem was scaling up, that is when they realized the need for a highly reliable, horizontally scalable, distributed systems in the cloud. Came in cloud services, and since then their growth has been off the charts.
Prediction: Gartner says, By 2020, a Corporate “No-Cloud” Policy Will Be as Rare as a “No-Internet” Policy Today. Interesting, isn’t it?
Since every company has started to adopt the cloud services. It can be claimed that cloud is the talk of the town. And AWS, in particular, is the leading cloud service provider in the market. Let us understand more about it.
It is the use of remote servers on the internet to store, manage and process data rather than a local server or personal computer.
There are basically 3 categories in cloud computing:
When we refer to AWS, it is more of an IAAS.
In case you wish to know about cloud computing in detail refer this link What Is Cloud Computing?
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AWS is one of the best cloud service provider and DevOps on the other hand is the ‘need of the hour’ implementation of software development lifecycle. Following reason make AWS DevOps a highly popular amalgamation:
DevOps teams are required to create and release cloud instances and services more frequently than traditional development teams. AWS CloudFormation enables you to do just that.‘Templates’ of AWS resources like EC2 instances, ECS containers, and S3 storage buckets let you set up the entire stack without you having to bring everything together yourself.
AWS EC2 speaks for itself. You can run containers inside EC2 instances. Hence you can leverage the AWS Security and management features. Another reason why AWS DevOps is a lethal combo.
This monitoring tool lets you track every resource that AWS has to offer. Plus it makes it very easy to use third party tools for monitoring like Sumo Logic etc
CodePipeline is one popular feature from AWS which highly simplifies the way you manage your CI/CD tool set. It lets you integrate with tools like GitHub, Jenkins, and CodeDeploy enabling you to visually control the flow of app updates from build to production.
AWS frequently creates and adds new instances to their list and the level of customisation with these instances allow you make it easy to use AWS DevOps together.
All these reasons make AWS on of the best platforms for DevOps. This pretty much brings us to the end of this AWS DevOps blog. Please let me know in the comments section below, whether you liked the blog or not. In case you wish to know more about AWS and DevOps Integration then this video would serve you purpose:
Got a question for us? Please mention it in the comments section and we will get back to you.