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AI generated videos are a fact of life. I check AI generated output for my newsletter just as any other output. But a lot of them are quickly dismissed, not worth a viewing. However the odd one is actually competently useful (although usually badly presented). That's also true of output generated by people though. My criterion is whether it's useful info for Java performance and memory, not how it was generated.

So one of the vids referenced in this week's newsletter is a massive 5 hour long AI generated video. I don't recommend watching it, it was badly presented (if you really want to watch, it's almost bearable to watch in small chunks). But it did have a good amount of useful info, so I extracted a lot of tips for you. My pain, hopefully your gain. The rest of the referenced content is from talks prrsented by people (of course they might have had AI help, but regardless they presented much much better!)

Now on to all the usual newsletter list of links, tips, tools, news and talks, 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

• TornadoVM and GPU Llama 3 let Java apps run local LLM inference on GPUs with up to 5x higher inference throughput than CPU-only llama3.java, which uses Java Vector API and Panama API
• Minimize allocations before tuning the garbage collector
• The move from dashboards to AI assisted status reports

Tools

Java performance tuning related tools

• Netty utilities: Buffer API, Thread-local object pool, Hashed wheel timer
• PCollections, efficient, thread-safe, generic, immutable, and persistent collections
• Minimal Perfect Hash Tables

Articles

• Scotty I need Warp Speed - Ways to improve JVM startup and warmup (Gerrit Grunwald/Bulgarian Java User Group)
• When Benchmarks go Bad: What I learned from measuring performance wrong (Holly Cummins/NLJUG)
• Java JVM Performance Engineer: 131 Java JVM Real-World Production Incidents (Ace Interviews/Ace Interviews)

Jack Shirazi

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