Intro to Promscale: Advanced analytics for Prometheus
Learn about Promscale, a new open-source platform built to scale and augment #Prometheus, combining the power of PromQL & SQL with a rock-solid long-term data store. Timescale Developer Advocate, Avthar (@avthars) takes you on a tour of Promscale, using a microservice-based eCommerce app example to demo his favorite Promscale capabilities. You’ll see how to query your data and answer questions about your systems, using a combination of PromQL, #SQL, and #Grafana.
You’ll also learn about Promscale’s auto-generated schema (and how it enables advanced SQL analysis), how to view label sets in JSONB form, and how to quickly view lists and fields of all your metrics and labels collected.
🛠 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
📌 Find Promscale GitHub to learn more ⇒ https://github.com/timescale/promscale
🐯 𝗔𝗯𝗼𝘂𝘁 𝗧𝗶𝗺𝗲𝘀𝗰𝗮𝗹𝗲
At Timescale, we are dedicated to serving developers worldwide, enabling them to build exceptional data-driven products that measure everything that matters. Analyzing this data across the time dimension ("time-series data") enables developers to understand what is happening right now, how that is changing, and why that is changing. We are backed by top-tier investors with a track record of success in the industry.
💻 𝗙𝗶𝗻𝗱 𝗨𝘀 𝗢𝗻𝗹𝗶𝗻𝗲!
🔍 Website ⇒ https://tsdb.co/homepage
🔍 Slack ⇒ https://slack.timescale.com
🔍 GitHub ⇒ https://github.com/timescale
🔍 Twitter ⇒ / timescaledb
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🔍 LinkedIn ⇒ / timescaledb
🔍 Timescale Blog ⇒ https://tsdb.co/blog
🔍 Timescale Documentation ⇒ https://tsdb.co/docs
📚 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀:
⏱ 0:00 ⇒ Introduction
⏱ 2:40 ⇒ Using SQL queries to ask complex questions about app performance
⏱ 8:00 ⇒ Advanced analytical query using SQL
⏱ 11:20 ⇒ Using PromQL queries on Promscale to visualize monitoring metrics in Grafana
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