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Linux has a reputation as an operating system for programmers. So, if you are a software developer who designs MySQL-based solutions, chances are high that you will do it on Linux. Thus, it would be great to have a MySQL IDE for Linux to simplify the work. But the question arises: is there an appropriate Linux DB tool for MySQL with a GUI?

Time-series databases have become the backbone of modern observability, financial analytics, and IoT systems. But there's a common challenge that can bring even the most robust systems to their knees: high cardinality. When your database starts tracking millions of unique values across various dimensions, performance doesn't just dip—it can collapse entirely. Let's understand the technical details of what happens when cardinality spikes and how you can architect your systems to handle it.

Need to list all the keys in your Redis database? If you're debugging an issue or just checking what's stored, retrieving all keys is a useful skill for any developer. This guide covers everything you need to know—from the basic commands to the performance implications—so you can query Redis efficiently without slowing things down.

Have you noticed your storage costs rising even when you're keeping an eye on them? The reason might be something easy to overlook: high cardinality data. For data engineers and developers balancing performance and costs, understanding its impact isn’t just useful—it’s key to avoiding unnecessary spending and system slowdowns.

PostgreSQL is a powerful and widely used relational database, but like any system, it can suffer from performance bottlenecks. Without proper management, slow queries, inefficient indexing, and resource contention can lead to sluggish performance. In this blog, we will explore the top 10 PostgreSQL performance issues and how to fix them.

If you’ve been using Redis but haven’t explored pipelining, you’re missing out on some significant performance benefits. Redis pipelining is like a hidden gem—those who know about it can’t imagine working without it. In this guide, we’ll break down why pipelining is important and how it can help improve the efficiency of your applications.

This piece is part of our ongoing VictoriaMetrics series, where we break down how different components of the system function: Inside vmselect: The Query Processing Engine of VictoriaMetrics.