Kubernetes, Alluxio and the disaggregated analytics stack TL;DR: First the news – Alluxio support for K8s Helm charts now available! K8s is a certified environment for Alluxio. Now the take away- Alluxio brings back data locality for the disaggregated analytics stack in K8s. How? Read on. There’s no arguing the rise of containers in real-world … Continued
VP Product & Marketing, Alluxio
Here in New York, at the AWS Summit, we are super excited to announce that Alluxio 2.0 is here, our most major release since the Alluxio launch. A couple months ago, we released 2.0 Preview – which included some of the capabilities, but 2.0 now includes even more, to continue building on to our data orchestration approach for the cloud.
Cloud has changed the dynamics of data engineering as well as the behavior of data engineers in many ways. This is primarily because a data engineer on premise only dealt with databases and some parts of the hadoop stack.
In the cloud, things are a bit different. Data engineers suddenly need to think different and broader. Instead of being purely focused on data infrastructure, you are now almost a full stack engineer (leaving out the final end application perhaps). Compute, containers, storage, data movement, performance, network — skills are increasing needed across the broader stack. Here are some design concept and data stack elements to keep in mind.
Announcing the OEM partnership with Alluxio and Starburst Data, the company behind Presto, the fastest growing SQL query engine in a disaggregated world.
We are thrilled and excited to announce the availability of Alluxio 2.0 Preview Release – the largest open source release with the most new features and improvements since the creation of the project. It is now available for download.
While Alluxio already enabled data locality and data accessibility for many big data workloads in the cloud, there was still innovation needed in key areas.