DevOps is an important component for software industry today. Developing and implementing a DevOps culture helps to focus IT results and to save time and money as the gap between developers and IT operations teams closes. Just as the term and culture are new, so are many of the best DevOps tools these DevOps engineers use to do their jobs efficiently and productively. To help you in your DevOps process, we have searched and created this list of DevOps tools which is mostly used by DevOps Engineers in their projects.
1. Chef
Chef is an extremely popular tool among DevOps engineers. From IT automation to configuration management, Read more click here
Reference:- This article was originally posted on scmGalaxy.com
Thanks for this clear and practical overview of key DevOps tools — it’s really helpful to see the most widely used options laid out with explanations of where they shine and how they fit into common workflows. I like that the post doesn’t just list names but briefly explains what makes each tool valuable, because that context makes it easier for someone new to DevOps (or even experienced practitioners) to see why and when each might be useful. The focus on tools that support automation, collaboration, and continuous integration reflects real industry needs, and the way the descriptions are phrased feels accessible without being overly simplistic. One thing that could make future posts even more useful would be a quick note on typical use cases or examples of how teams combine these tools in real pipelines — that often helps bridge theory into practice. Overall, this feels like a thoughtful and approachable resource for anyone trying to understand the DevOps tool landscape — thanks for sharing!
ReplyDeleteThis post is a helpful snapshot for people trying to understand that DevOps is a workflow, not a single tool—and the “most used” tools are usually the ones that support the full delivery loop: planning and source control, CI/CD, build and artifact management, configuration/IaC, containers, monitoring, and feedback. What makes a “top 10” list truly valuable is when it explains selection criteria (team size, cloud/on-prem needs, security/compliance requirements, learning curve, and ecosystem fit) and shows how the tools integrate end-to-end rather than being treated as isolated products. A good takeaway for readers is to build a small reference pipeline using a few core tools first (SCM + CI + IaC + container + monitoring), then expand based on real bottlenecks—because the best DevOps toolchain is the one that reduces lead time, improves reliability, and stays maintainable as the organization scales.
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