Operations | Monitoring | ITSM | DevOps | Cloud

Valkey is a new database management system that is gaining traction. Valkey is a fork of Redis, and it is available as a deb package in the Ubuntu 24.04 release. You can install it by simply running sudo apt install valkey. We also offer a Valkey container to allow you to run a secure, compliant and long-term supported Valkey on top of any Linux distribution.

Database downtime can lead to significant disruptions, revenue loss, and frustrated users. Amazon Relational Database Service (RDS) provides a managed database solution with high availability and automated failover to minimize such risks. However, continuous monitoring is crucial to ensuring reliable failover and minimizing downtime by detecting potential issues before they impact operations.

Entity Framework Core (EF Core) is a modern object-relational mapper (ORM) for.NET Core and.NET applications, enabling efficient database interaction while minimizing the need for raw SQL queries. A fundamental aspect of EF Core is defining Entity Framework relationships, ensuring data consistency and referential integrity in relational databases. This guide explores one-to-one, one-to-many, and many-to-many relationships in EF Core, covering their implementation, configuration, and best practices.

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.