We’re excited to announce that we’ve strengthened our solution for Java Spring. Spring developers can now integrate Rollbar into their Java Spring Boot and Spring Web MVC applications even more quickly and easily. With our new SDK, instrumentation and getting real-time actionable error alerts takes just a few minutes. Spring has consistently been one of the most popular Java frameworks and we want to make sure we’re consistently offering the best possible solution for it.

We are happy to announce the first release in the 2.1 series of our flagship open source API gateway! Since Kong 2.0 was released in January, we have released a number of patch releases, but we have also been busy writing new features as well! This release comes packed with new functionality, ranging from updates for improved P99 latency to new features for gRPC, improvements to your favorite plugins and much more. Here are the highlights.

Cheers to the newest addition to the Bitrise Step Library — meet Applivery , a powerful enterprise mobile device management system that enables full control over your Mobile Apps. Combined with Bitrise, you can cover the entire development life cycle, from testing and building to delivery and feedback.

Improve your Asana task management for more efficient projects.

This blogpost will cover how customers can migrate clusters and workloads to the new Cloudera Data Platform – Data Center 7.1 (CDP DC 7.1 onwards) plus highlights of this new release. CDP DC 7.1 is the on-premises version of Cloudera Data Platform.

Our 1.2.0.0 release of Cloudera Streaming Analytics Powered by Apache Flink brings a wide range of new functionality, including support for lineage and metadata tracking via Apache Atlas, support for connecting to Apache Kudu and the first iteration of the much-awaited FlinkSQL API. Flink’s SQL interface democratizes stream processing, as it caters to a much larger community than the currently widely used Java and Scala APIs focusing on the Data Engineering crowd.

In this release, we’ve focussed on providing exceptional capability for our customers - both enterprise and software companies - to create and deploy embedded analytics experiences that drive user adoption with minimum amount of effort and coding.

We’re excited to introduce v 0.15 of Allegro Trains. With this version we’ve taken Trains one step further to provide even more powerful features for the community to manage their AI workloads.

We're happy to announce that we've just launched our newly designed dashboard for our logs & metrics platform, allowing DevOps & security professionals to see their vital metrics quicker than ever before. Our team has been keen to respond to the needs of our users through undertaking dedicated research which informed the creation of this latest update to the platform's design. This new design provides improved real-time feedback to users managing & creating new ELK stacks.