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One year ago I explained the details of how the various Observability techniques fit together. One particular thing I pointed out was the difference between liveness and readiness. This isn't just a subtle esoteric point, there are very clear consequences to how you need to configure services because of this difference.

This difference and the consequences from it for service responsiveness is brought to life in a detailed and readable article by my former team-mate Sasi, who walks through a chaos experiment that identified just how important it can be. As he explains, the configuration that works to ensure a service remains responsive needs to look at what happens when service instances fail in various ways - including how failover and startup can affect this. It's worth considering these aspects for your services too!

Now on to all the usual newsletter list of links, tips, tools, news and articles, and as usual I've extracted all the tips into this month's tips page

A note from this newsletter's sponsor

News

Java performance tuning related news

• There appears to be scope for much better garbage collectors than the existing ones
• Introduction to Cryostat: JDK Flight Recorder for containers
• Useful list of Java caches with details on each
• GC logs are accurate and details, JMX GC metrics are accurate but not detailed, JFR GC events are neither accurate nor detailed

Tools

Java performance tuning related tools

• A container-native JVM application which acts as a bridge to other containerized JVMs and exposes a secure API for producing, analyzing, and retrieving JDK Flight Recorder data from your cloud workloads
• A variety of lock algorithms (but not necessarily production-ready implementations)
• Dns-prefetch & Preconnect: 7 Tips, Tricks and Pitfalls
• Hunter, hunts performance regressions using statistical analysis of performance test results

Articles

• An Exercise in Software Resiliency on Kubernetes (Sasidhar Sekar/Expedia)
• All You Need To Know About Garbage Collection in Java (Aashish Patil/DZone)
• Profiling in production to detect server bottlenecks (Sergey Peretyatko/Miro Engineering)

Jack Shirazi

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