Operations | Monitoring | ITSM | DevOps | Cloud

With the introduction of Aiven for AlloyDB Omni, many of our customers have wondered what the difference is between AlloyDB Omni and its architectural source project, open source PostgreSQL. AlloyDB Omni is more than just a re-implementation of PostgreSQL, and understanding how it is similar – and how it differs – from open source PostgreSQL is a valuable exercise.

KIP-1150 isn’t a distant, strange planet; it just reroutes Kafka’s entire replication pathway from broker disks to cloud object storage. Flip one topic flag and your data bypasses local drives altogether: Because Diskless is built into Kafka (no client changes, no forks), we had to solve a 4D puzzle: How do you make a Diskless topic behave exactly like a Kafka one—inside the same cluster—without rewriting Kafka?

KIP-1150 proposes a new class of topics in Apache Kafka that delegates replication to object storage. With disks out of the hot path, the usual pains— cluster rebalancing, hot partitions and IOPS limits are gone, while cross‑zone network fees and pricey local disks drop by as much as 80%.

Aiven offers a seamless multi-service cross-cloud experience. When optimizing your infrastructure performance, understanding how services performance can change across clouds can help differentiate your business. This blog details the benchmarking of how PostgreSQL performs on each of our cloud offerings: AWS, GCP, OCI, and Azure.

The idea behind KIP-405 is to simply store most of the cluster’s data in another service. As we covered in detail in the last article - it’s a simple-sounding idea that goes a very long way. This other server where the data gets stored is pluggable. KIP-405 was designed in such a way to make Kafka seamlessly extensible to store its data in any kind of external store through a solid interface.

Over the past year, we’ve taken significant steps to strengthen our approach, from refining our policies to improving our data collection and aligning with evolving regulatory expectations. Here’s an overview of our progress and what’s ahead for 2025.

Logging and metrics data, regardless of what your business does digitally, are some of the most prolific data types that any service or application can produce. Logging data is generally about specific events that you care about in your application and metrics data is generally about overall system performance and uptime.

Developers love tools that make their workflows smoother, and that’s why the idea of integrating Aiven with Lovable.dev is so exciting! While not an official integration (yet), combining Aiven's fully managed cloud services with Lovable.dev’s focus on delightful developer experiences opens up new possibilities. Imagine streamlined database management, improved performance, and a more enjoyable development workflow, all with the tools you already love.

Connecting the data across your business and getting it where it needs to be can often be challenging and place undue operational stress across your application, infrastructure, and platform teams. Apache Kafka, and in particular the Apache Kafka Connect framework simplifies these pain points by allowing you to use Kafka to transport data from where it is produced, to where it needs to be stored, analyzed, or transformed.

Aiven for ClickHouse has become a favorite on the platform thanks to its blazing-fast analytical querying, built specifically to handle the unique challenges of OLAP workloads. It excels at crunching massive datasets in real-time, making it a favorite for demanding applications like log analytics, web analytics, and ad tech. At Aiven, we understand the power that ClickHouse can unlock for businesses of any size.