@sudheerbhat.bsky.social
The apache fory seems to be on a roll! The JSON benchmarks just look unrealistic!! We are running our own benchmark, but the numbers look too good to be true! #apachefory #java #performance github.com/apache/fory/...
github.com
I hope every day you all are trying to cultivate joy. A kindness to a neighbor. A long walk. Poetry. Birdwatching. Meditation. Being silly and playing peekaboo in a checkout line with a cute baby. These are dark times, and joy is something the bastards cannot take from us. Fight for it.
Great read surfingcomplexity.blog/2026/02/08/n...
Nobody knows how the whole system works
One of the surprising (at least to me) consequences of the fall of Twitter is the rise of LinkedIn as a social media site. I saw some interesting posts I wanted to call attention to: First, Simon W…
surfingcomplexity.blog
ah yes...I should also post about OUR book. the 2nd edition of "Observability Engineering" is now available for download.. and you can download it for free on the honeycomb site. this was supposed to be an update, and ended up being a total rewrite (& then some). 😅 www.honeycomb.io/blog/the-sec...
The Second Edition of Observability Engineering Is Here
IT’S HERE it’s here it’s here it’s here!!!! The second edition of Observability Engineering is available for download, and since Honeycomb is the sponsor, you can now download it from our website (th...
honeycomb.io
Both Cat and Charity are very much worth reading.
Ran into an interesting thread starvation problem. After some digging, figured out that we had badly written code (when was it not). The take away is simple. Do not block indefinitely on future. DO NOT OVERENGINEER. Async is not easy. #Java
The LLM generated issue summaries/comparison look very bland and I tend to lose interest reading the same. Does anyone else feel the same too? The generated context generally over indexes on a particular aspect. May be I need getting used to, but currently its not helping. #AI
We've been working on a major schema migration at @polarsignals.com that has unlocked some pretty wild improvements. Apart from a 50% (!!) reduction in storage size thanks to logical compression in vortex.dev, there has been a dramatic improvement in query performance.
AGAINST ALL ODDS, THOSE WHO BELIEVED BLUESKY THAT THE CRASH WAS DUE TO A DDOS AND THOSE WHO DIDN'T BELIEVE BLUESKY AND WERE SURE IT WAS BECAUSE OF THE AI VIBE CODING WERE BOTH RIGHT
pckt.blog/b/jcalabro/a... The postmortem of the *last* big outage shows that it was because they DOS'd themselves through vibecoded slop.
jlibdeflate, the new java JNI bindings to libdeflate, is pretty neat. Nice work by @tfenne.bsky.social t.co/AmzoFGZheT
https://github.com/fulcrumgenomics/jlibdeflate
t.co
Another great refresher of new capabilities of async profiler by none other than Andrei Pangin! Watch this if you are serious about profiling!! #performance #profiling #java youtu.be/u7-S-Hn-7Do?...
Advanced performance analysis with async-profiler by Andrei Pangin
YouTube video by Devoxx UK
youtu.be
10/ You can solve an enormous number of technical problems by taking a walk
5/ In general, work that shortens feedback loops is the most valuable "metaproject" work that can be done on a project. Doesn't matter what feedback loop: testing, compiling, deploying, getting customer feedback, analyzing data, whatever
TIL: Temurin build of openjdk always bundles the zlib implementation(since jdk21). This means you cannot use LD_LIBRARY_PATH or LD_PRELOAD to use alternate impl like the cloudflare fork, or zlib-ng. github.com/adoptium/tem... @adoptium.net #jdk #java
github.com
Watching the tech industry unleash unpredictable software into production in the name of AI adoption, then spend twice as much time and money trying to limit the blast radius, proves humans should be investing in our own intelligence before allowing the machines to mimic us.
Day <stopped counting> of using tcpdump to debug an issue in production!
@netflixeng.bsky.social wrote about Java Vector usage and how it transforms the ML inferencing landscape via netflixtechblog.com/optimizing-r... We have been doing the same for over an year with great success. We wrote about it at technology.inmobi.com/articles/202... #Java
Optimizing Recommendation Systems with JDK’s Vector API
By Harshad Sane
netflixtechblog.com
AI writing is like store-bought cake. It might be perfectly fine, maybe even as good as something you could make yourself, but it’s weird to give it to someone and say it’s homemade
We do some large scale NN inferencing on CPU. For us latency is paramount (sub ms). We have custom #java impl leveraging incubating vector. We ran benchmarks against Triton & ORT. Java impl is around 3 to 4x faster. One may say we haven't optimized the ORT/Triton well 1/2
if you love software and are feeling down about the state of software, find places where people are talking about building stuff, and most importantly, actually building stuff and talking about the specifics of the code
Michiel Leenaars in his talk at #fosdem: "There is no Claude, just other people's code" (reference: there is no Cloud, just someone else's computer) @fosdem.org
My colleague Sanjay Ghemawat & I have done a fair bit of performance tuning of various pieces of code. We wrote an internal Performance Hints document ~2 years ago as a way of identifying some general principles & we've recently published a version of it externally. Doc: abseil.io/fast/hints.h...
DRAM prices mooning will hurt everyone and might cause a consumer tech recession on its own in the next 12 months even without the AI bubble popping. Hyperscalers are going to jack up prices for cloud resources, electronics manufacturers (Apple, Samsung, etc.) will raise prices, this is gonna hurt.