@TomJensen1966 Hvornår kommer dine harmdirrende tweets om at dommerne og fifa tyvstjal sejren fra Egypten over lille ynkelige Messi? Det er vm største skandale uden sammenligning. Pinligt ynkeligt, uværdigt, korruption, fuck noget svineri
30x faster than Prometheus on gauge averages sounds like a typo. It's not.
Elasticsearch 9.4 rebuilt TSDS and ES|QL into a fully columnar metrics engine. Vectorized time series aggregations, zero-copy decoding, doc value skippers replacing inverted indices.
The result at 1.4M time series: queries that took Prometheus 30+ seconds finish in under 2.
Hey @EversoloAudio
When will you support the new lossless audio feature on Spotify? Currently it tells me that my dmp-a6 master edition is not supported for lossless
#eversolo#Spotify
Small changes that matter: Elasticsearch now reclaims memory from its indexing buffer one segment at a time (like Lucene) rather than one shard at a time, which helps reduce the merging overhead. Coming in 8.11 (unreleased yet). https://t.co/ZgjChmqNwz
elasticsearch and the full @elastic stack 8.10.1 is out. kibana was leaking sensitive information in its logs (see https://t.co/M1ny55gnF5), so upgrade away
elastic cloud should be patched up by us and it was the first time that we had to pull a release — fun weekend operation 🙈
Ready for an upgrade? Learn more about Elastic 8.10 which delivers enhancements for cross-cluster search (CCS), the GA of the security AI Assistant, & the beta of several new connectors for proprietary data in large language models (LLMs).
Learn more → https://t.co/MsSf3mbjSn
Master the art of troubleshooting slow Elasticsearch queries for a better user experience! Dive into this blog to learn how to optimize query performance by using APM insights and Lens charts: https://t.co/RJfLCKxdcd
We’re excited to announce the Elasticsearch Query Language (ES|QL) preview!
ES|QL is a powerful declarative language native to Elasticsearch and allows users to construct complex queries efficiently and with speed. Dive into this blog to learn more:
https://t.co/rEopJP1DiK
ES|QL: a new piped Query Language for @elastic. why?
1. already many options but none that work well across #elasticsearch and #kibana; plus the challenge of writing JSON queries for humans
2. a query engine. with dramatic performance improvements 🚀
quick look at my favorite features in @elastic / #ELK stack 8.9:
1. combine vector (bring your favorite model), keyword (BM25f), and text expansion (ELSER) search with Reciprocal Rank Fusion (RRF)
the slow boiling 🐸 (the good kind): continuous improvements on #elasticsearch data ingestion over the last few minor versions — from simple keywords to heavy kNN vectors, as well as ingest-pipeline-heavy ingestion workloads
https://t.co/NRBK8u8Hfv
"Benchmark-driven optimizations — How we pushed scalability to the next level in #elasticsearch 8": https://t.co/cEiuCRyLFk
great example how many small changes over time can truly pay off. "oversharding" was one of the most common issues at @elastic
"Why I Will Never Use Alpine Linux Ever Again": https://t.co/7dqMULi5Jb
very close to the experiences we had with #elasticsearch in 2017. started with alpine but changed soon. size (especially for datastores) isn't worth it and you can reduce dependencies for other distros too
welcome addition to #elasticsearch: a redact ingest processor — replace certain patterns like emails addresses, IPs, credit cards,...
https://t.co/CiorVLWVbo
I came around INCREDIBLY cool blog called "TimDbg - The art and science of debugging. And other stuff like that. From a former developer on WinDbg and the VMware hypervisor." by @timmisiak: https://t.co/K0pVH0WedC
Highly recommended!