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Discover how Aiven makes the 4 factors of production-ready PostgreSQL easy A database isn't production-ready just because your application can query it. To be truly ready for production, your PostgreSQL setup must be able to survive node failures, block unauthorized network access, handle sudden connection spikes without crashing, and tell you exactly why a query is running slow. Let’s explore these four factors and how Aiven puts being production-ready on easy mode.

On December 8th, 2025, IBM announced a definitive agreement to acquire Confluent in a deal valued at $11 billion. It is a massive moment for our industry. The acquisition was finalized on March 17th, 2026. For some, this looks like a safe bet; a way for enterprise giants to finally "get" real-time data. But for those of us who have spent our careers in open source software and data infrastructure, it feels different. There’s a sense of wondering “when is the other shoe going to drop?”.

Experience major throughput gains, granular data control and more control over when you upgrade. We are excited to announce two major updates to Aiven for Valkey: support for the highly anticipated Valkey 9 and the introduction of multi-version support. Whether you are running large-scale clusters or managing complex data structures, these updates provide the throughput, granular data control and deployment flexibility you need.

Whether you’re spinning up your first relational database or running a global e-commerce platform, Aiven for MySQL provides the performance and reliability you need. In the world of open-source databases, MySQL is the engine behind millions of applications, and at Aiven, we believe managing it shouldn't keep you up at night. Our platform is built to grow with you, from when you're just getting started all the way through to enterprise scale.

Aiven's PG Studio is now in Early Availability, allowing you to work with your Aiven for PostgreSQL instances, directly in the Aiven Console. Over the last several decades, PostgreSQL has been steadily climbing its way to the top of popularity amongst DBAs and app developers. With the rise of AI development, PG has become the tool that you can build with at many different development stages. This starts at the home of your data, which is the Aiven for PostgreSQL service page in the Aiven Console.

Automated, Zero-Downtime KRaft Migrations Now Available on Aiven The Apache Kafka ecosystem has been steadily moving toward a simpler, more scalable architecture with KRaft (Kafka Raft), leaving ZooKeeper behind. In March 2025, Kafka 4.0 dropped support for ZooKeeper entirely. Since June 2025, all new Aiven for Apache Kafka services have been deployed with KRaft by default, allowing our users to benefit from faster partition scaling and simplified cluster management.

Aiven put Diskless Kafka through 2,200 logical hours of chaos testing using Antithesis. Here's how it held up. Testing is a necessary pillar in any software development lifecycle. At the same time, it's a fundamentally incomplete process - a cat-and-mouse game. You can't test what you can't imagine and distributed systems have a nasty habit of producing failures that no one on the team imagined.

From free hobby projects to $5/month developer setups and enterprise-scale clusters, Aiven for PostgreSQL scales with you. Find the perfect tier for your data. Our aim is to make your use of PostgreSQL in the cloud as easy as possible, however you’re using it. Whether you are just starting to learn the ropes or you're managing a global-scale enterprise database, the platform should adapt to you, not the other way around.

Inkless clusters upgrade classic topics with 90% faster recovery and 10x faster scaling with infinite storage, while adding diskless topics.

At Aiven, we use and contribute to open source to build our managed data platform. In the early days of Aiven for PostgreSQL, robust cloud-native tools for high availability and streaming backups did not exist at the level we needed. So we built our own. We created pglookout to monitor replication and handle failovers, and we built pghoard for backup and restore using object storage. These tools served us and thousands of our customers well for years. But the open-source PostgreSQL ecosystem has grown.