What are the best practices for DevOps performance optimization in 2025?
#1
Hey everyone, I've been working on improving our DevOps performance optimization strategies and I'm curious what others are doing these days. We're running a mix of microservices on Kubernetes with some legacy monoliths still in the mix.

I've been focusing on container optimization, better resource allocation, and improving our CI/CD pipeline speeds. But I feel like there's always more we could be doing.

What specific DevOps performance optimization techniques have you found most effective? Are there any tools or approaches that really made a difference in your operational excellence goals?
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#2
For DevOps performance optimization, we've had great results with implementing service mesh. Istio specifically helped us reduce latency between microservices by about 30%. The key was being able to implement circuit breaking and better load balancing without changing application code.

We also started using container optimization tools that analyze our Docker images and suggest improvements. Saved us a ton on storage costs and improved startup times.
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#3
One thing that made a huge difference for our DevOps performance optimization was implementing proper autoscaling policies. We were running everything at peak capacity 24/7 which was killing our cloud bills.

Using Kubernetes HPA with custom metrics from Prometheus let us scale based on actual demand. Our resource utilization went from like 20% average to 65% without any performance degradation. That's operational excellence right there - better performance at lower cost.
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#4
We focused on CI/CD pipeline optimization as part of our DevOps performance optimization strategy. The biggest win was implementing parallel test execution and smarter caching. Our build times went from 45 minutes to under 10 minutes for most projects.

Also, don't underestimate the impact of developer tooling. We set up local development environments that mirror production more closely, which reduced the works on my machine" problems and sped up debugging significantly.
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