Over the past few months, we’ve been considering how to create a platform that’s accessible to everyone. With that said, we’re happy to announce that you can now use Keboola Connection for free! No contract, no talking to our (albeit incredibly lovely) sales team - just jump in and start building.
We’re delighted to announce the release of the Iguazio Data Science Platform version 2.8. The new version takes another leap forward in solving the operational challenge of deploying machine and deep learning applications in real business environments. It provides a robust set of tools to streamline MLOps and a new set of features that address diverse MLOps challenges.
We are thrilled to announce that Cloudera has acquired Eventador, a provider of cloud-native services for enterprise-grade stream processing. Eventador, based in Austin, TX, was founded by Erik Beebe and Kenny Gorman in 2016 to address a fundamental business problem – make it simpler to build streaming applications built on real-time data. This typically involved a lot of coding with Java, Scala or similar technologies.
We are excited to announce NSolid 4.1.0, which introduces NodeSource Certified Modules NCM in NSolid console and NCM Strict Mode. NodeSource Certified Modules provides you and your teams with actionable insights into the risk levels that are present in your use of third-party packages. Using a series of tests, we score packages on npm to look for a number of weighted criteria. With the NCM you can scan your projects, for existing security vulnerabilities, license concerns, code risk and code quality.
This quarter we’ve been working on many improvements that will make your life easier when catching those sneaky bugs, and expand Bugfender’s capabilities with some of the most requested features: We hope you find all these updates useful!
For the past two years, Appian has scored high marks in both categories, landing in the upper right corner of the Magic Quadrant as a leader.
Today, we’re excited to announce a new research project we’ve been kicking around at Kong: Kong Embedded! If you’ve used the Kong Gateway before or heard us talk about it, one of the things we’re very proud of is that Kong Gateway uses a very small resource footprint. It’s a small download in size, is blazingly fast on even constrained hardware, and uses very little memory.
About two and a half years ago, Kong first announced our Kubernetes Ingress Controller. We were stepping up to invest in the Kubernetes community by building a full-featured API gateway that operated in a Kubernetes-native way. Since then, we – as well as the rest of the broader Kubernetes ecosystem – have hit a number of additional milestones. Our Ingress Controller has run in tens of thousands of Kubernetes clusters, and we’ve continued to expand its functionality and stability.