You may have noticed that, during the last few weeks, we released a bunch of new versions for different components of our stack. It’s a very exciting time of the year for us, since we’re currently finishing work that we have done through the last months. Today, we’re announcing another release: The general availability of Icinga Director v1.11! This new version ships with nice new features, which has been requested by many users. Check out the full changelog for all details.

InfluxDB v3 allows users to write data at a rate of 4.3 million points per second. However, an incredibly fast ingest rate like this is meaningless without the ability to query that data. Apache DataFusion is an “extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.” It enables 5–25x faster query responses across a broad range of query types compared to previous versions of InfluxDB that didn’t use the Apache ecosystem.

To fully utilize the capabilities of Kubernetes, it’s crucial to have a reliable system for gathering and organizing logs, metrics, and events. With the complex nature of container orchestration, it’s crucial to understand the significance and process behind the data generated in a Kubernetes environment at scale. Cribl Edge works seamlessly with Kubernetes and can cater to various needs.

Today, Cribl surpassed $100 million in annual recurring revenue (ARR), becoming one of the fastest companies to ever reach this milestone in under four years––an incredible achievement on our journey to building a generational company. Reaching $100 million in ARR so quickly shows that our unique approach and steadfast focus on IT and Security continues to be validated by the market.

The Datadog Service Catalog consolidates knowledge of your organization’s services and shows you information about their performance, reliability, and ownership in a central location. The Service Catalog now includes Service Scorecards, which inform service owners, SREs, and other stakeholders throughout your organization of any gaps in observability or deviations from reliability best practices.