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Top 10 Enterprise DevOps Best Practices for Transformation

Gursimran Singh | 10 February 2023

Enterprise DevOps Best Practices for Transformation

Introduction to Enterprise DevOps

Nowadays, DevOps has become a buzzword across various organizations for software development and enabling companies to achieve scale. We have all heard about the highly demanded software development approach- Agile methodology. It does not replace Agile Practices. But, it provides extra support to complete the project effectively by extending the collaboration and communication with software service providers. So, Let's get started with 
A process in which, Modern software engineering Culture and Practices to develop software where the development and operation teams work hand in hand as one unit, Click to explore about, What is DevOps and it's Processes?

Top 10 Best Practices for Enterprise DevOps transformation 


Test Automation maintains the flow of the Software life cycle

To prepare quality code, developers need to test the software frequently and regularly. It allows for early testing that will enable developers to recognize and resolve the issue during software development rather than later in the process. In SDLC (Software Development Life Cycle), unlike manual testing, automated testing is executed faster to maintain the flow of the Software life cycle.  We can use automated testing for the networking and database changes, the configuration of middleware, and the development of source code using load and regression testing. Test automation can be achieved by performing various actions such as recognizing test case scenarios, picking up the right set of tools for automation, setting up an appropriate environment, and analyzing results.  Some Tools used in Test Automation:-
  • Selenium
  • UFT (Unified Functional Testing)

Configuration Management is Crucial 

Configuration and Change management are fundamental parts of the operations. Configuration management is set automation, monitoring, control, and maintenance of system-extensive configurations that take the environment throughout networks, servers, applications, storage, and different managed offerings. Integrated configuration management enables the improvement teams with a larger picture. It permits the utilization of the existing offerings in the course of the software improvement instead of investing time and effort in reinventing the new offerings from scratch. Some Tools Used in Configuration Management -
  • Chef
  • Puppet
  • Ansible
An information technology automation tool. By using Ansible, it gets our task done easily by automating it by removing the manual deployment. Click to explore, Overview of Ansible | Configuration Management with Ansible

Continuous Integration for Building Modern Applications

Continuous Integration in DevOps fashions allows developers to implement integrations sooner and regularly. It is a software development practice where the development team frequently updates the code changes within the repository, after which the automatic builds and test runs. And CI tools help them to identify the integration demanding situations in new and current code and change them at the sooner phase only. Thus, CI improves group collaborations and eventually builds a high-quality software product.

Continuous integration (CI) is the method of building and validating a project by automated regression testing and sometimes code analysis whenever updated code is checked into the version control system. CI is one of the essential agile development practices that is typically linked with it. CI allows developers to develop a high-quality performance solution safely in small, regular steps by providing immediate feedback on code defects directly to the developer, which decreases the feedback loop time. Some Tools used in Continuous Integration:-

Continuous Delivery permits to launch of the application faster and more frequently in quick cycles

Continuous Delivery is also a practice where the newly developed source code is up to date by using developers, get tested through the QA group by way of applying automated testing, and once all test case passes, it gets deployed into production. It permits the development group to build, check and launch the application faster and more frequently in quick cycles. It helps corporations to grow the number of deliveries, minimize the risk of failure during production, and more.

It is an addition of continuous integration to assure that you can release a new modification to your customers rapidly in a sustainable way. This means on top of having an automated test, you also have an automatic release process, and you can deploy your software with just a click of a button at any point in time. Some Tools used in Continuous Delivery:-

  • Jenkins
  • Buddy
  • Jenkins X
Encourages collaboration and communication between the developers and operations teams in all stages of the Software Development Life Cycle. Click to explore about, Top Six Challenges in DevOps Adoption

Continuous Deployment makes businesses extra responsive

The deployment technique consists of different sub-strategies along with code creation, testing, versioning, deployment, etc. In continuous deployment, the code is checked and regularly deployed within the production surroundings once it passes all the test cases in QA and other environments. A lot of tools are there that perform deployment of the software from staging to production with less human involvement.

It facilitates development teams to decrease the time within a new feature being identified and deployed into production. It allows the business to be extra responsive. Continuous deployment raises the operational risk by increasing the potential for bugs and faults to be added into production if development teams are not trained enough and disciplined. A successful CD in an enterprise environment needs all the practices explained earlier. Some Tools used in Continuous Deployment:-

  • AWS CodeDeploy
  • Octopus Deploy
  • Jenkins
  • TeamCity

Monitoring of Software to optimize the application performance

Application monitoring is essential to optimize the application performance, whether it is deployed on the cloud or local data center. If a bug hits the application while the release process, then it will be converted into failure. So, the development teams and operations teams need to consider proactive monitoring and check the performance of the application. Several tools are available for application monitoring that give a lot of metrics related to applications, support, sales, graphs, analytics, etc. This is a required practice in it monitoring running applications once they are deployed on production.

Operating systems, CPUs, memory usage, network usages, I/O services, etc., usually give monitoring abilities that can be handled by monitoring tools and exporters. Though, for application-specific monitoring functionality, such as what users are using and user interface characteristics. Everyone on the team should be aware of this operational necessity or have access to the tools that make it very easy to scrape and visualize it for the user. Some Tools used in monitoring:-

  • DataDog
  • Splunk
  • Monitis
Monitoring Stack for enabling the visibility of Microservices applications and Continuous Delivery Pipeline with Docker and Kubernetes. Taken from Article, DevOps Monitoring Stack

Production Support is a mandate 

Regarding the Enterprise level, development teams are on the new version or release with addons features, a development that is already present in the production. They have the responsibility of marking serious production obstacles as well as they are working on the new release to increase efficiency and optimize the application. The development team will usually be referred to third-level support because of their involvement in fixing critical production issues. Agile techniques only address this effort in passing. A significant side of this practice is that it provides developers with an appreciation of things that occur in production, giving them learning chances to enhance the way they design Stack in the first spot.

Real-Time Visibility is of utmost importance

Deep, real-time Visibility through the entire Enterprise DevOps toolchain and development environments is essential for product teams and stakeholders. A strategy is required that allows product team members to concentrate on deadline-driven activities while also supplying managers and stakeholders with accurate real-time information.

Continuous Feedback 

Finally, feedback loops are needed to simplify communications between tests that spot problems and tests that your preferred method would help. The best tool would define the problem using either manual or automatic mechanisms and mark the problem with the object so that the developers or managers would know what happened, why it happened, and when it took place.

Use The Right Toolset

It requires you to integrate different processes for seamless delivery and enhanced productivity. This needs the right selection of toolset. Some critical areas that require tools include collaboration and communication, API integration, reporting and capturing of manual and automated processes, and the need for customization.

Best tools and software of Enterprise DevOps

The best enterprise tools are listed below:

  • Jira
  • Jenkins
  • Docker and Kubernetes
  • Git
  • Ansible
  • AWS DevOps
DevOps managed operation
The most potent and environment-friendly software testing technique ensures that the developed software is filling all requirements. Download to enable DevOps for enterprises.


It promotes transparency and incremental implementation, so organizations do not need to make updates from the beginning. With the mentioned DevOps Practices, organizations speed up their digital transformation and establish agility.