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Infrastructure automation and DevOps

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Infrastructure automation and DevOps are popular approaches for systems and applications in most organizations. The ability to deploy infrastructures and solutions in the cloud, on-premises or hybrid, automatically, in seconds, is a significant and valuable investment. Some of the most important costs of major change projects in recent years were the provision of infrastructure and associated operations. The investment now in the ability to take advantage of DevOps practices and related tools represents incredible value in comparison.

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DevOps is a way of thinking and a cultural practice involving the collaboration of operational developers and engineers to deliver and operate systems on a large scale. It is about the creation and operation of systems, combined into a single practice that plans and builds for the lifetime. Infrastructure automation makes extensive reference to automatic provisioning, deployment and testing tools generally adopted in a DevOps practice.

Implementation of infrastructure automation and DevOps

A key feature of a DevOps approach is the adherence of leadership. DevOps is a route, help and support will be needed along the way. It is important to try to make quick and positive changes. Reducing costs or solving critical security issues are excellent candidates to start developing a business case to get management to take note of it and begin a transition to DevOps.

DevOps is a culture, so it is important to prepare for this change in behavior and reflection. This cannot be addressed only with a list of new policies and procedures, there should be organization-wide education and internal marketing activities to influence the adoption of reflection. A capacity maturity model can help here, forming a 360 ° view of DevOps culture and organizational readiness for change. It is important to break down existing barriers between development and operations, often a cross-cutting initiative is put in place and integrated so that each team sees the value that the other brings and the cross-pollination of skills.

Once the organization is ready to accept DevOps, the goal is to make the team succeed. Continuous integration and a continuous delivery platform is a common start to practice. The creation of this platform and associated pipelines can essentially allow developers to “appropriate” the cloud migration solutions to production rather than “pass” operations to try to solve problems in the field. Operations then have the ability to automatically test and deploy in a very short period of time, thus providing the basis for a DevOps practice.

Continuous testing and deployment are now an expected development. These two features make it possible to test and deploy throughout the delivery pipeline at different stages, as opposed to single points. This can be further increased by continuous monitoring of all comments as soon as possible to help focus and save time and effort.

Finally, moving from traditional software development to DevOps will be a challenge, not only for teams, but throughout the organization. However, as long as best practices are followed to create continuous integration, continuous delivery, continuous testing and continuous deployment, organizations can reap significant rewards very quickly.

Frequent errors made in infrastructure automation and DevOps

Attack too much at once

Achieving automation, disposable infrastructure, continuous integration, continuous delivery, deployment, monitoring and alerts, automatic testing and a security fortress takes time. Focus on one thing at a time and at your natural pace, otherwise you will be overwhelmed by many challenges at the same time. 

Tempted to adopt new technologies

The goal is always to add value to the company and not to add new technologies. You will often be tempted by new frameworks, tools and architectures. Although it is important to keep an eye on trends, focus on what is beneficial for you.

Be blind to chess

Systems are not designed to fail or function properly, but they do. Imagine having a quick way to check the health check of a system and highlight defective parts. This dream is called observability, and even having something very basic is an effort that will bear fruit very quickly.

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