PromQL is a query language for Prometheus monitoring system. It is designed for building powerful yet simple queries for graphs, alerts or derived time series (aka recording rules). PromQL is designed from scratch and has zero common grounds with other query languages used in time series databases such as SQL in TimescaleDB, InfluxQL or Flux.

This allowed creating a clear language for typical TSDB queries. But it has a cost — beginners usually need to spend a few hours reading the official PromQL docs before they understand how it works. Let’s flatten and shorten the learning curve for PromQL.

Google may be gearing up to compete with OpenAI’s ChatGPT by letting people “interact directly” with its “newest, most powerful language models as a companion to search,” according to CEO Sundar Pichai. It would be a big move for the company — as systems like ChatGPT and DALL-E have gone viral, Google — a company that’s been flexing its AI muscles for years and producing tons of research in the area — hasn’t had a public answer to those sorts of tools, some of which could threaten its core businesses.

As we face economic uncertainties and changes to work patterns, organizations are searching for ways to optimize IT investments and re-energize employees to achieve business results. Now—more than ever—organizations need solutions to adapt to change, improve productivity, and reduce costs. Fortunately, modern tools powered by AI hold the promise to boost individual, team, and organizational-level productivity and fundamentally change how we work.

This promise is rapidly becoming a reality. At Microsoft, we’re working to incorporate new, AI-powered capabilities across our consumer and enterprise products, including Microsoft Teams.

As part of this continuous innovation, I’m excited to share that Microsoft Teams Premium is generally available. Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.1