Hands-on Introduction to Promscale

In this episode, Vineeth and Mat will teach us everything we need to know to get started with Promscale.

🍿 Rawkode Live

Hosted by David McKay / 🐦 https://twitter.com/rawkode
Website: https://rawkode.live
Discord Chat: https://rawkode.live/chat

#RawkodeLive

🕰 Timeline

00:00 - Holding screen
00:30 - Introductions
03:40 - Introduction to Promscale (Slides)
20:40 - Installing Promscale with TOBS
40:00 - Promscale's Vision (Slides)
30:20 - Q&A
41:30 - The TOBs CLI
44:00 - Dashboards
53:00 - SQL for Prometheus

👥 About the Guests

Vineeth Pothulapati

Vineeth is a cloud, distributed systems enthusiast and contributor to Kubernetes, Cortex and Open Policy Agent. He worked as a shadow for previous Kubernetes releases and was also a docs lead for Kubernetes 1.18 release. He is currently working on Promscale & Tobs as a software engineer with Timescale. Previously, he was a CNCF mentee with Cortex and Open Policy Agent and a Google Summer of Code intern with The Postgres Operator. Vineeth co-founded and organizes CNCF Hyderabad meetups and also given several talks on CNCF technologies.

🐦 https://twitter.com/VineethReddy02
🧩 https://github.com/VineethReddy02
🌏 https://www.vineethweb.com/

Mat Arye

Mat has been working on data infrastructure in both academia and industry for the past decade. Currently, he is leading the Promscale team, to make it easy for people to store and analyze their Prometheus data in both PromQL and SQL. Previously, he worked as one of TimescaleDB's core architects where he concentrated on performance, scalability, and query power.

🐦 https://twitter.com/cevianNY
🧩 https://github.com/cevian

🔨 About the Technologies

Promscale

Promscale is an open-source long-term store for Prometheus data designed for analytics. It is a horizontally scalable, highly-compressed, and operationally mature platform for Prometheus data that offers the combined power of PromQL and SQL, enabling developers to ask any question, create any dashboard, and achieve greater visibility into their systems. Promscale is built on top of TimescaleDB, the leading relational database for time-series.

🧩 https://github.com/timescale/promscale

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