In recent times, the term ‘DevOps’ has changed how an organization works and operates. Most notably, it introduced a cultural shift that proved necessary for following the agile method. DevOps helps to improve deployment frequency, reduce the failure rate, shorten time to fixes, and speed up recovery time.
In the 2020 Atlassian DevOps Trends survey, 99 percent of respondents said that DevOps positively impacted their organization.
There are several reasons for the same however, the prime factor is that it effectively facilitates the product team to resolve certain types of problems and challenges that may occur throughout the project lifecycle. The set of tools, skills, and processes required to support the processes can vary significantly for each team to find what works best for them. To help you with the same, the blog explains key principles for a smooth adoption of DevOps over time.
Before we delve into the major practices of DevOps, let’s first understand what DevOps is-
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What is DevOps?
As the name implies, DevOps is an amalgamation of two entities – development and operations. By utilizing this methodology, the organizations can streamline and accelerate innovation through continuous improvement, continuous delivery, and release automation to power the speed of IT delivery.
However, teams are expected to continuously innovate while still maintaining high-quality standards of code and delivery times. In order to ensure the best outcomes for DevOps teams and end-users alike, you should consider these DevOps implementation best practices-
Keep A Centralized Unit for DevOps
DevOps consists of many tools like Splunk or Jenkins. There should be a centralized unit for the formulation of these tools and finishing techniques. The same centralized group is responsible for implementing agile in the development team. Not only that, but the team in command of that unit must also receive the most helpful tools for the business. This team also manages the tools and creates different leadership programs for achieving DevOps.
Implement Test Automation
For the successful delivery and quality code, regular examination of software is a must With DevOps, developers can fix problems during development. They don’t have to leave everything at the last minute. However, a manual measurement can slow things down considerably. In such a case, to speed up the SDLC, executing test automation is a smart move in a DevOps framework.
Utilize Infrastructure as Code (IaC)
Infrastructure as Code is the process of managing and testing your infrastructure configurations the same way you manage and test your software code. The advantage with IaC is that it enables teams to automatically manage and provision your infrastructure by writing code that describes the desired state of machines. That code is used to create your infrastructure as well as to apply a new configuration, install patches and updates, or even roll back changes to bring a machine to the desired state.
Implement Continuous Deployment
Continuous deployment involves publishing the code in versions instead of deploying all at once. Code production, versioning, examination, deployment, and post-deployment are deployment subprocesses. Once a code makes different QA test circumstances, the Operations team uses the code in the production setting. There are various tools accessible for continuous deployment. They originate from staging and go all the way up to generation. The best feature is that it doesn’t require many manual interventions.
Keep All Teams on the Same Page
DevOps keeps all stakeholders linked to development, operation, and deployment throughout the process. Since DevOps is all about combining one team with other departments, communication is necessary. And it’s essential to keep everyone on the same page to eliminate any hurdles on the way. Although firms are using DevOps in the blink of an eye, not everyone knows how it works. To implement the strategy precisely, it’s essential to keep every team and member on the radar.
Identify Key Metrics
Lastly, Gather metrics to serve as evidence of the advantages by benchmarking your current state, including how often updates are released, how many support tickets are generally filed after a new release, how long the average application issue exists, and the business impact of each issue. Collecting this information beforehand provides quantifiable evidence of the positive impact of a DevOps approach.
As more enterprises implement DevOps, they must recognize this will be a long-term commitment. No organization will reach a state where it can comfortably say it has perfected its DevOps best practices model. Instead, it must continuously experiment with modern processes, capabilities, and tools identifying those that can yield the highest possible integration across the entire DevOps toolchain to deliver the best value for the business. if your organization is facing significant DevOps implementation hurdles, you may want to bring in outside DevOps experts to help you get on the right track.