Introduction  

The worldwide Devops market is projected to expand at a whopping CAGR of 22.9 percent between 2020 to 2027. And the reason this model has such promising benefits that have completely changed the future of software development is that it has already delivered impressive results for businesses all over the world.

Companies typically get the following measurable outcomes:

• Consistent project deliverables and high quality.
• Regular deployments and a short time to market.
• Low rejection rate and quick recovery times.
• And the list goes on and on…

You know that – with every benefit, there comes a condition and here the condition is – best implementation. If you can execute well, all your efforts will be in vain. 

To your ease – we have curated this guide of DevOps best practices to get the most out of it! Let’s take a look at what it takes to incorporate DevOps and gain those valuable benefits. 

7 best practices to keep in mind for DevOps implementation 

1. Reduce the time spent among team members.

DevOps intends to minimize waste of effort not only by automated processes but also through information exchange among team members. At all phases of the development loop, it seeks to facilitate feedback on people’s work productivity and performance.

Here’s how you can do it. 

• Developers can access the results of code tests within minutes.
• Bugs and breakdowns are immediately notified and fixed.
• Every new update receives customer feedback and usage reviews.
• Performance indicators are demonstrated on visual management boards.
• Customer satisfaction statistics and responses were immediately shared with the team.

Tip – Customer feedback exchange and execution are usually neglected. This DevOps best practice highlights the importance of doing so to better meet the clients’ requirements.

2. Automated testing for better DevOps Security 

We should perform software testing regularly to guarantee DevOps security and the best feasible results. Developers can use DevOps to solve problems during the development phase. They wouldn’t have to leave it all till the last moment.

Manual testing can be time-consuming. Including test automation in a DevOps framework is a wise decision. 

Automated testing reduces the need for the testing team to perform repetitive tasks. They can dedicate a significant amount of time and effort to developing new test cases and collaborating with devs to avoid problems.

Automation enables frequent testing, inspiring early bug fixes and enhancing the product’s quality. Luckily, numerous automation technologies are available for testing and achieving robust DevOps protection.

3. Leverage the power of Microservices 

Any task divided into smaller chunks is much easier to accomplish than a single sizeable portion of work. The same concept is used in DevOps to simplify work with microservice architecture.

Smaller applications can be deployed as independent components in a microservices architecture and are linked together via an application programming interface (API).

A distributed application with a microservices architecture integrates various services, each of which performs a distinct feature or purpose. In the microservices architectural model, each service can be implemented individually, undertake its functions, and interact with the other offerings through a web interface.

In a microservices model, different languages or structures could be used to write the various services. Microservices are also simple to scale, as the DevOps team can easily add a new microservice to enhance the functionality without disrupting the rest of the application.

4. Observing continuously 

Tracking has become vastly more challenging as the industry has shifted away from rigid, on-premise services and devices to cloud-native, microservice-based applications.

As a result, observability is becoming increasingly popular. Logs, traces, and metrics are often referred to as the three key elements of observability. 

• Most system components and apps produce logs containing time-series data about the system’s operation or application. 
• Traces follow the logic stream within the application. 
• Measurements involve CPU/RAM booking or utilization, storage capacity, network access, and much more.

Observability merely means combining all three of these references of information to make findings and forecasts about the operation of a complicated system to achieve flawless DevOps implementation.

5. Automated DashBoard 

A DevOps engineer will appreciate an automated dashboard. It provides data and detailed reports and insights into various operations. Among these are the series of experiments, each assessment period, and the success or failure rates.

• Team members can evaluate server and database setup adjustments using an automated scorecard. 
• Automated dashboards keep track of implementations throughout the system.
• Real-time data insights assist teams in selecting the best testing tool. Furthermore, shifts are natural as long as the SDLC is in advancement. 
• Dashboards that are automated provide a comprehensive view of these adjustments. 
• The dashboard includes a variety of graphs, logs, and performance measures.

6. Adopt an agile methodology 

Agile is an iterative project management system that enables software engineering teams to complete higher-quality developments quickly.

• Create an outset workflow with the following four stages: to do, in progress, code analysis, and completed.
• Teams must divide projects into smaller activities and adapt to the changing necessities or context as they move forward.
• By incorporating DevOps and an agile methodology, you can discharge a small piece of features and observe how customers react to it, as well as solicit feedback from them. 

Rather than spending two quarters developing a feature that eventually fails, you can enumerate it along the way.

The agile principle of tiny, iterative development pieces fits well with the DevOps strategy since it results in faster implementation.

7. Implement CI/CD effectively into your workflows 

Automation is central to the DevOps culture. A CI/CD pipeline also aids in the automation of the whole coding, developing, experimenting, and deploying procedure.

Continuous Integration (CI) helps programmers frequently integrate code into a centralized database and uses automated systems to validate the code’s accuracy.

And Continuous Delivery (CD) tools automate source repository release dates to ensure they are prevalent, smooth, and reliable. We can implement large and complicated software using CI/CD.

However, incorporating CI/CD requires significant time and money. 

However, if implemented right with the following CI/CD best practices for DevOps, it can have a strong positive influence:

• Keep a single source code repository.
• Test in a production system clone
• Collect and act on continuous feedback.
• Incorporate safety early in the testing and development processes.
• Make continuous implementation possible and simplify the process.
• Automate development configuration management and performance evaluation to regulate the software in manufacturing better.

Wrap up! 

DevOps is more than a passing trend. It is a strategy that can make a massive difference in your organization’s operations.

And implementing the best DevOps practices can help you reach improved software development alternatives. 

Even so, becoming a true DevOps organization is gradual and does not occur overnight. However, with the proper skills, expertise, and DevOps industry standards, you can incorporate it wisely into your project.

If you want an efficient implementation, you can hire a DevOps engineer to assist your business in growing and becoming more efficient.

Our DevOps engineers excel at DevOps execution, and our experienced professionals can assist you in developing a blueprint to incorporate DevOps with the appropriate tools and advising. So contact us today to take advantage of our expert DevOps services!