DevOps is a clipped compound term which combines “Development” and “Operations” practices of IT software development, having originated in the mid 2000s among IT professionals looking for efficient and innovative ways to automate and speed up the process of software delivery. As a change agent, DevOps promotes a culture of collaboration and information sharing across the organization, a radical departure from the ‘silos’ of the past.
Nowadays, the DevOps cultural movement has spread far and wide among the technical community and can no longer be confined to software development alone. Its scope of adoption has pervaded product engineering services, various devices of ‘Internet of Things’ and Cloud-enabled services, with CloudOps as a resulting metonym.
While the Developer community performs software development which is all about coding; writing the code, implementing, testing and re-writing the code, operations team looks after the systems that run that code. They work on things like how much processing power the software will need to run, how to make the software secure, how to make it run efficiently, and how to keep it running.
DevOps is needed when these two teams work for the same system, but operate with relatively different thought processes. DevOps helps these developer and operations communities to learn how to work in a new way that facilitates the complete cooperation with each other.
With DevOps, operations staff uses many of the techniques used by developers in their systems. DevOps provide a way for operations and development people with common methodologies and processes to work together in a mutual cooperation.
The biggest difference is that compared to pure play IT where you have to deal with software codes alone, when applying DevOps to IoT developments, you also need to take physical components, devices and existing legacy systems into account which together build in an extra layer of complexity in the overall automation process.
Then, there are specific challenges during each and every stage of the project, including a fragmented development pipeline comprising very small teams, automated Build-Verification-Test (BVT) plans, greater usage of legacy systems, non-unified release cadence and conversion of the entire production environment to a singular code (“environment as a code”).
For more information on this subject, we highly recommend that you check out this white paper written by eInfochips subject matter experts, titled “DevOps in the Age of Connected Devices”.
No, agile is not same as DevOps. However, agile can be used as a part of DevOps. Here are the ways in which they are different.
Agile is a software development methodology. Once the software is developed and released, the agile team doesn’t care about how the software is doing, instead, they move to next sprint.
DevOps is all about developing software, making it ready for release and deploying it in the safest, most reliable way. In DevOps, the software development doesn’t need to be using agile discipline. It may use waterfall development process as well.
DevOps can be measured according to the following mentioned categories:
The DevSecOps requires everyone in the software development life cycle to be responsible for security. It aims to bring operations and development together, ensuring security during all the stages of the development process.
It tries to automate the core security tasks by incorporating security controls and processes early in the DevOps workflow rather than attaching it in the end.
DevSecOps brings automation from the start of the development cycle and thus, reduces the chances of misadministration and mistakes, which may lead to downtime or attacks. Automation also reduces manual configuration of security consoles.
With continuous delivery (CI) in DevOps, every code change is built, tested, and then pushed to a staging environment. It may go through multiple, parallel test stages before passing it to a production deployment.
The difference between continuous deployment and continuous delivery (CD) is the need for a manual approval to update to production. With continuous deployment, production happens automatically as it doesn’t need approval from the developer.
Continuous delivery means that when a developer makes any changes, the build and code fixing will happen simultaneously. It comes under the environment where automatic testing has to be achieved. It includes a development environment, a test environment, and a staging environment. These environments have three different teams of people performing product deployment and testing, also known as deployment pipeline.
AWS enables organizations to build and deliver products rapidly and reliably using AWS and DevOps practices with built-in flexible services. These services are designed to simplify provisioning and management of infrastructure, deployment of application code, automation of software release processes, as well as monitoring of application and infrastructure performance.
AWS Developer tools automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high velocity that is enabled by DevOps. It also helps organizations in storing and versioning of application’s source code securely and automatically build, test, and deploy the application to AWS or the on-premises environment.
AWS CodePipeline is useful to build a continuous integration or continuous delivery workflow that uses AWS CodeBuild, AWS CodeDeploy, and other tools, or use each service separately.
Chef is configuration management tool for handling physical servers and virtual machines in the cloud. Chef solves the query by treating infrastructure as a code. This gives rise to continuous delivery and automation testing. ’Know about environment as a code in DevOps methodology.
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