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Articles Tagged with: DevOps
It’s quite popular nowadays. DevOps is a powerful set of practices and tools to achieve application modernization, maturity, and fast time-to-market products that match final users requirements.
In essence, creating a DevOps culture is far from a simple affair. Rather, it is a process of continuous reoptimization and improvement, with senior DevOps engineers constantly working to optimize their pipelines while still sticking to the tenets that have made DevOps so successful.
“If you want speed, you need automation. If you want deployments, you need automation. If you want basic security, you need automation. If you are building a nuclear reactor, and need surety, you still need automation. Automation accelerates multiple practices. Simply management theory demands if you can automate and remove lower-level costs to add higher-level solutions, you do so.”
Manual work is largely replaced with automated processes driven by open-source DevOps tools designed specifically for database work. This not only frees up a great amount of time but also makes the results more reliable, as there is less room for human error.
The principles of DevOps can best be described as guidelines that qualified DevOps engineers can implement across DevOps cultures and lifecycles.
Candidates are also expected to keep their knowledge of the methodology up to date. After all, DevOps is always evolving, and showing an awareness of exactly what new elements would be most relevant for the interviewing company can be a great way to score brownie points.
What distinguishes DevSecOps engineers from standard security officers isn’t technical skill; it’s being able to work within and improve DevOps cultures.
Modern IT is becoming increasingly competitive, and CIOs must be able to place the full power of IT behind business deliverables. When it comes to reliably creating ongoing value, DevOps is an excellent choice.
Becoming certified in DevOps, DevSecOps, or SRE verifies a candidate’s knowledge of their chosen methodology, how to apply it, and how it can create value.
The answer to which architecture type is better will often come down to the size and complexity of the application or business in question. Will continuous evolution be required during the development process and beyond? How large will the team managing the application be?