While Azure DevOps offers a solid framework for application development, integrating Flyway into this setup can greatly simplify and enhance database deployments. In today’s fast-changing database environment, development teams are always looking for ways to improve their deployment processes. While Azure DevOps offers a solid framework for application development, integrating Redgate Flyway into this setup can greatly simplify and enhance database deployments.

Prometheus Metrics Explained: Counters, Gauges, Histograms & Summaries This discussion is the first part of the basic monitoring series, an effort to eliminate confusion in monitoring for both beginners and experienced users.

Prometheus Monitoring: Instant Queries and Range Queries Explained Over the years, we’ve received many questions about MetricsQL/PromQL, even from experienced users—especially regarding range queries and instant queries. This article is basic but turns out to be really important to explain why your query behaves the way it does. This discussion is part of the basic monitoring series, an effort to eliminate confusion in monitoring for both beginners and experienced users.

Datadog Database Monitoring (DBM) Recommendations help you proactively optimize performance throughout your database fleet. DBM draws on a wide range of data sources in order to detect and provide actionable guidance on issues such as blocking queries, low disk space, and missing indexes. In this post, we’ll show you how DBM formulates targeted indexing recommendations to help you optimize database performance.

This year Grafana Mimir — the open source, horizontally scalable, multi-tenant time series database (TSDB) — will celebrate its third anniversary. Over the years, Mimir has become the go-to, Prometheus-compatible metrics backend within the open source community, with 29 maintainers and more than 4.6k GitHub stars. Since introducing Mimir, we’ve worked hard to deliver on our promise of making it the most scalable and performant open source TSDB in the world.

In the last few years, Postgres has experienced a meteoric rise in popularity. A relational database that not long ago was relatively unknown outside of academic circles has now eclipsed MySql as the most popular database for developers in the most recent StackOverflow user survey. Why has it achieved such impressive popularity with developers?

When you're working with DynamoDB, one of the most critical things you need to keep an eye on is throttling. If you're not careful, throttling can severely impact your database's performance. It’s not just about slower response times—throttling can lead to system failures or unexpected downtime if not addressed properly.

In case you haven’t heard about it yet, FOSDEM (Free and Open Source Software Developers’ European Meeting) is a huge, free, gathering for open-source software enthusiasts that happens every February in Brussels, Belgium. It’s a non-profit event put together by the community, and it’s one of the biggest of its kind - we’re talking about around 10,000 people from all over the world coming to hang out and talk about all things open source.

Cardinality refers to the number of unique values in a dataset column. A column with many distinct values—like a user ID or timestamp—has high cardinality, while a column with limited distinct values—like a boolean flag (true/false) or a category with a few possible options—has low cardinality. For example, consider a database of an e-commerce platform.

Redgate's new book, 'Introduction to PostgreSQL for the data professional', is now available for free download. Hear from authors Ryan Booz & Grant Fritchey about their inspiration for the book and the challenges they faced along the way. While the documentation around PostgreSQL is detailed and technically rich, finding a simple, clear path to learning what it is, what it does, and how to use it can be challenging.