Docker Model Runner: now with expanded Windows and Linux support, integration with popular Docker tools, and one-command model publishing 💥
Push custom GGUF files as OCI artifacts to ANY OCI container registry. Yes, seriously.
🎥 Watch the magic w @Kiview
🐯 @TimescaleDB is now TigerData! 🚀
When we launched Timescale, the top Hacker News comment said it was “a bad idea.”
PostgreSQL wasn’t supposed to be fast.
Or scalable.
Or useful for time-series.
8 years later:
-2,000 customers
-8-digit ARR
-Most workloads aren’t even time-series anymore
We’ve changed our name to reflect that evolution:
Timescale is now TigerData.
Same code. Same team. Still PostgreSQL. Just a lot faster.
For consumers, IoT is about convenience—smart vacuums and Wi-Fi air fryers. But for industries, it's transformative. LoRaWAN is emerging as the go-to technology for reliable, low-power IoT applications. Learn how it's driving the future of connectivity. https://t.co/G0jGQwPmcF
2024 brings significant changes to Signomix! 🚀 Key highlights:
- migration to the Quarkus framework,
- switching the message broker to Mosquitto,
- Alerts replacing JS scripts,
- the signomix-reports module for reports and data,
- automatic documentation translations.
#IoT
Rok 2024 to duże zmiany w Signomix! 🚀 Najważniejsze:
- migracja do frameworku Quarkus,
- zmiana brokera komunikatów na Mosquitto,
- Alerty zastępujące skrypty JS,
- moduł signomix-reports do raportów i danych,
- automatyczne tłumaczenia dokumentacji.
#IoT
#hexagonalarchitecture friends: What happens if I change "driving/driven" to "inbound/outbound" in everything I write from now on ... like, in the whole book?
thoughts?
Postgres at petabyte scale and ingesting almost a trillion metrics per day? 😱
Our multi-tenant Timescale Insights product is powered by a standard @TimescaleDB database service in our cloud. The exact same as our customers can use.
- 800 billion metrics per day
- 100 trillion metrics recorded
- >1 PB of data
With Timescale, build powerful applications on #PostgreSQL. 💥
But how are those storage volumes possible or cost effective?
Our hybrid cloud-native storage architecture tiers data from our high performance row-columnar engine hyperstore, to Parquet files on bottomless, low-cost S3. And a lot of optimization went into supporting even point-queries against this S3 data as well. More on that soon!