DevOps Methodology and its Impact on Cloud Monitoring Systems

Today, the combination of cultural transformation and automation has led to a rethinking of how developers, IT staff, and security professionals can work together. Where the active interaction of software engineers, testers, system administrators, and other professionals took place to work together collectively on a single project at a time. In simple words, DevOps methodology is based on ​​a close interdependence between the development and operation of software products and services to create and update them faster. But for such an approach to be successful, comprehensive real-time monitoring is vital.

The advantage of DevOps principles is that they have collected all the previous experience, not always, to put it mildly, successful attempts to optimize software delivery times.

Before diving into the topic, let's first understand the basics of DevOps.

What is DevOps?

DevOps is a methodology of collaboration between developers and IT services specialists to complete a particular project. The project is divided into several tasks between the developers and operation experts to accelerate the process. The developers do their development work, and IT professionals check how this particular code functions. If necessary, new requirements are added to the project. The process can be repeated until the entire project is completed.

What impact has DevOps methodology had on development engineers?

DevOps methodology is an approach to managing an IT team, and one, even the best, DevOps engineer in this field is not a warrior. But the implementation of this methodology with DevOps tools alone, without the involvement of DevOps consultants, is not the path that will lead to success. If everything can work out with automation and iteration, then in such an essential part as cooperation, "a person needs a person." Recall the first principle of the Agile Manifesto: "People and interaction are more important than processes and tools." So DevOps is, first of all, about the interaction between people.

The evolution of modern cloud monitoring systems

The next and most crucial method is cloud monitoring. There are strategic ways to evaluate a cloud monitoring system by quantity and quality of the modular integrations it supports. Do you first need to understand how many languages the monitoring system supports? Many legacy monitoring systems only work with a few, with a particular focus on Java and .Net, even though high-level programming languages ​​are becoming increasingly important for enterprise application development. Most likely, if not right now, then in the near future, you will want a new monitoring system that can be tied to popular scripting languages ​​such as Python, Ruby, PHP, and Go.

Conclusion:

The DevOps methodology will continue to evolve. There's always room for new tools, different structures, and remarkable trends, but the foundation that will tie them all together is the choice and proper use of automation software. Understanding all the changing parts and latest trends, you will know how they will give you the foundation you need to decide which monitoring solution your organization needs. You can guide the whole DevOps team accordingly.