Top Tweets for #QRYN
#qryn polyglot #observability in numbers:
- 30 minutes test (single node)
- 250M inserts (logs, metrics, traces)
- 35.7 GB of ingestion (~1GB/minute)
- 3.4 GB of disk storage (~10x compression)
- 100% compatible w/ #Loki #Prometheus #Tempo #Pyroscope 🔥 https://t.co/qVgenAY9KZ
Grafana #Alloy was just announced hours ago and #qryn users get to enjoy right away! Check out the qryn blog about alloy with lots of ready to try examples to use it as Metrics, Logs and Telemetry collector in front of qryn the #polyglot 🚀https://t.co/M386zm7vuf #obsevability
Observability nightmares? #qryn is the polyglot drop-in LGTM alternative you need to try. Same features, protocols and query languages your Ops love without the pain. Regain control of #observability storage and performance costs with qryn + clickhouse:
https://t.co/OQbbaLsihS
From OSS zero to cloud hero: adventures in real time observability with qryn
Watch this talk from Alex from @GigapipeHQ at CommCon 2023: https://t.co/Ts64nzZXgP
🥳 All CommCon 2023 talks are now available for free: https://t.co/HidKUdSo4U
#qryn @QXIP #realtime #observability

We love SQL but... querying Logs, Metrics or Traces with it is just a party trick🤮 Most DevOps and Engineers (aka humans) want query languages designed for the job like #LogQL, #PromQL and #Tempo. Just query and let #qryn take care of #ClickHouse SQL⭐️
https://t.co/ngSMMlT21x
#qryn #observability is so polyglot! #pyroscope support just announced! All your Logs, Traces, Metric and Profiling live happily together under the same fast OLAP roof! Read more here:
https://t.co/9puJ1luEkg
Excited to announce our Gigapipe partnership with @GetDoubleCloud to power our flagship cloud #Observability products #qryn and #hepic 💜
https://t.co/7RFdYM9rpK
Here's a great #WebRTC example showcasing why the next @sipcapture #homer version is built on top of our polyglot stack #qryn and able to leverage thousands of monitoring and observability integrations instantly https://t.co/4bEeNW4Wz3
#qryn 3.0 features (what we believe to be) the first fully functional #Prometheus #PromQL drop-in integration in #wasm processing queries at native speeds powered by @bunjavascript and #ClickHouse storage 🤯
Who wants to give it a try? https://t.co/ngSMMlT21x
Excited about the upcoming #qryn 3.x release with ultrafast @bunjavascript engine and support for InfluxDB #IOx #FlightSQL in our polyglot #observability stack drop-in compatible with #LGTM and all your favourite ingestion protocols and QL query languages! https://t.co/ngSMMlT21x
@thomasankcorn @baselimehq @ClickHouseDB ClickHouse is awesome for observability data! We have multiple customers ingesting > 1B traces/logs per day in #qryn and we can confirm performance does not degrade at larger scale! https://t.co/yzxf2EWjvs 🚀

Save on your #Observability costs with #qryn cloud🌤️ Designed to be 100% polyglot drop-in compatible with #Grafana #Loki #Tempo #Prometheus #Mimir query languages #Opentelemetry ingestion and #Cardinality control to save money 💸
See it to believe it: https://t.co/yzxf2EWjvs 👁️
@dalemcdiarmid @ClickHouseDB @grafana Nice trick, although this still requires users to install plugins and learn #sql which is cool for ClickHouse superusers and terrible for regular humans: #qryn transforms @ClickHouse into #Tempo (two way street) and requires zero plugins or SQL queries: https://t.co/OQbbaLsihS
#qryn vs #loki cloud match: 863ms vs. 873ms!
Showcasing our indie polyglot cloud stack on #Gigapipe w/ BYOC #ClickHouse service versus a multi-million dollar, 1000s developers state-of-the-art mainstream project🚀
https://t.co/hD5cw1qhCg
#logs #metrics #traces #observability
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