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How is the Cloud Native ecosystem changing the way we define the DevOps methodology?


With serverless, service meshes, and eBPF, the way we manage applications has changed drastically. I’m wondering, Is DevOps still relevant or evolving into something bigger? It feels like the "culture" aspect is being overshadowed by high-complexity tools. Are we losing the human element of collaboration in favor of just managing a massive stack of CNCF projects?


   2025-09-05 in Cloud Technology by Brandon Fletcher | 9852 Views


All answers to this question.


The complexity is definitely a challenge. I believe the evolution is toward "FinOps" and "GreenOps." It's no longer just about "can we deploy fast?" but "can we deploy sustainably and cost-effectively?" In a cloud-native world, a small misconfiguration can cost thousands of dollars or waste massive amounts of energy. The "bigger thing" is responsible engineering. We are moving from a "move fast and break things" era into a "move fast with precision and efficiency" era. The core DevOps values of feedback loops are still there, they are just measuring different things now.

   Answered 2025-09-12 by Deborah Simmons


Do you feel like the barrier to entry for new engineers is getting too high because of how many tools they need to master?

   Answered 2025-09-18 by Ryan Montgomery

  • Ryan, I absolutely do. It’s intimidating for juniors. That is why I think the evolution must involve better abstraction layers. We can't expect every dev to be a Kubernetes expert. The industry is moving toward "No-Ops" for the average developer, while a specialized team handles the complex cloud-native machinery in the background. It's a two-tier evolution of the original DevOps idea.

       Commented 2025-09-20 by Brandon Fletcher


I think it's evolving into "Experience Engineering." It’s all about the developer experience (DevEx) and making the workflow as smooth as possible.

   Answered 2025-09-25 by Heather Grant

  • DevEx is huge right now! If your internal tools are hard to use, your DevOps implementation has failed, regardless of how fast your pipelines are.

       Commented 2025-09-28 by Deborah Simmons



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