Operations | Monitoring | ITSM | DevOps | Cloud

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.