Industries are turning towards DevOps to have a relentless software deployment practice and provide security internally and externally.  Though some have successfully implemented them, it remains a challenge when it comes to implementation of DevOps for many enterprises today. In order to overcome these challenges it is inevitable to formulate a DevOps implementation strategy consisting of the following

  • Identifying and Evaluating the need for implementation
  • Building collaboration
  • Identifying success factor
  • Infrastructure integration
  • Metrics: Tracking functions and process
  • Review: Customer satisfaction

Need for DevOps implementation: To Start

The right implementation demands the right need for it. More than just keeping up with the trend, it is important to execute DevOps implementation plan to drive business by improving the software development process.  It is also wise and safe to start with considerable prototypes as large projects could lead to larger delays at the beginning. You can apply the DevOps implementation roadmap within a particular module to evaluate how it works and then extend its application to the entire process through automation with the help of automation tools like Jenkins, Teamcity, etc.

Building Collaboration

One of the significant factors to have a successful implementation of DevOps is usage of resources. Experts trained in all latest and required tools should be willing to collaborate with other teams effectively to break silos among various teams. The ultimate goal of DevOps is to make teams from different disciplines to work together collaboratively and cooperatively within themselves. This improves communication among teams which in turn provides better accessibility to data and information for all of them. Thus, it accelerates the process of development and deployment without hindrances.

The CI/ CD pipeline: Identifying success factor

The continuous integration, continuous deployment and continuous delivery process make the development process easy and nimble. Continuous integration takes care of configuration and code management and packaging including integrating codes, defect detection and it improves product quality. Continuous delivery is an extension of CI that checks the readiness to release. The objective of Continuous deployment is to shift the codes from one environment to production environment through automation. Integrating continuous monitoring into the pipeline is another significant aspect and is used in metrics.

Infrastructure integration: IaC

Infrastructure provisioning is a critical factor of DevOps which can be done based on Infrastructure as code (IaC) where, components are provisioned through codes supporting software deployment in containers. IaC makes reconfiguration of server environments simple by spinning numerous instances in minutes. Even a person with less infrastructure knowledge will be able to set up complex stacks quickly. When there is a line between applications and environments, IaC makes it almost invisible with its framework with coding techniques.

Containers & Microservices collaboration

Developers can share their application dependencies with the operations team without any hindrances by using containers on DevOps process making it easier for them to collaborate with each other. You can solve any conflicts between environments using containers since it has all the capabilities such as application source codes, libraries, repositories, configuration files within them to run any microservice in silos. Executing microservices application in container ensures a smooth deployment of application from the developer’s desk through testing to production environment.

devops implementation roadmap

Automation to Orchestration

Automation and orchestration are two inevitable facets that keep the IT industry function well. While automation performs repeated tasks or steps to complete a task without manual impediments, orchestration puts these tasks into a strategized workflow involving automated tasks and more in order to streamline the process. Orchestration is best used in a DevOps environment with appropriate tools as the practice flows navigate through different modules. With orchestration tools like Kubernetes, you can build application services that extend across multiple containers and them.

Tracking functions and process

To know if the software is performing as expected consistently, continuous monitoring is required. You can easily manage DevOps workflow by monitoring and tracking the components and functions at every stage. This helps in quick recovery and resilience. Organizations can leverage these metrics to bring about improvement in their product quality and accelerate release cycles

Review:  Customer satisfaction

You can involve customers throughout the process and meet any changes or modifications in the requirement instantly without having to wait until the end for their feedback. This minimizes the changes in code, bugs and enhances product quality. Most importantly, it boosts the confidence of the customers in your organization and increases credibility. Therefore, you need to adapt to the DevOps culture that insists on the importance of team play, transparency in communication, dedication and commitment towards customer satisfaction.

Get your hands on our Template approach

Implementation of DevOps becomes an easy task when you did it the right way with proper planning. Implementation of DevOps is now easy with our templated approach formulated to be applied across four dimensions of DevOps such as release management, infrastructure as code, continuous testing, orchestration and feedback loop. If you want to accelerate your business growth, implementing DevOps will be a vital factor which when done through template approach helps in reaping wider benefits.



Recommended Blogs:

Challenges of CI/CD implementation and its impact on your business

Why you should start building DevOps Ecosystem with ‘GO’?

Containers redefining software development process and maintenance

Containers’ security: A critical control in DevOps implementation.

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