Data observability is the idea of creating a unified view of all the data so you can head off problems early, identify outages, and address any conflicts in real time. Today we’re interviewing Streamdal’s founders Ustin Zarubin and Dan Selans. They’re gonna share with us how they’re using an application monitoring approach to address the

Let’s say you have a set of microservices running on a Kubernetes cluster. In the past, developers used to program features like service discovery, observability, who’s allowed to talk to whom and other security related features directly into the application code. This slowed down the dev cycle and it made these microservices bigger and just

Kubernetes is an open-source platform for automating the deployment, scaling, and management of containerized applications. The company Komodor started as a Kubernetes diagnostics platform focusing on Kubernetes troubleshooting for the entire Kubernetes stack. More recently, Komodor is taking a step towards becoming a single-pane-of-glass to simplify Kubernetes for developers. In the past, they were more

Permissions are Hard! And they are becoming harder as we move more into the Cloud-native ecosystem. If we go back in time to the point where it was just a single monolith that you were building on your own. You’ll probably have a framework to manage the permissions for you. But when you are working

Data catalogs are one way to address the tension between wanting to use all the data for business advantage and needing to govern all the data for compliance. Today, Zeashan Pappa, a Databricks Product Specialist for the Unity Catalog, joins us to discuss how catalogs can help companies capture the full value of their data.

Webhooks are used in connecting two different online applications. Webhooks allow one program to send data to another as soon as a certain event takes place.And because they are event-driven, webhooks are ideal for things like real-time notifications and data updates. The company Hookdeck helps build webhook integrations at scale. In this episode, we talk

Twitter is a social media platform that does some incredibly complex stuff when it comes to distributed systems engineering to keep the website up and running. Twitter has open sourced a lot of projects for others to use. Twitter created a fork of Memcached called Twemcache and also a fork of Redis to handle the

Java is a write once run anywhere programming language. The way you do that is you use the javac compiler and compile the source files down to the class files. Those class files can run on any system in interpreted mode. But those class files that are run in interpreted mode, they are not machine

Although we like to think about ML workflows as straight-line narratives from experiment to training to production, and then finally monitoring; the reality for large companies is that all the steps are happening at one time in concert with other models, with shifting data, and, sometimes, misaligned key feature inputs. Moreover, regulated firms are required

Mingsheng Hong, is CEO and co-founder (along with Zheng Shao) of Bluesky. He is a thought leader for machine learning and has built data infrastructure to support some of the world’s most challenging workloads. Most recently, Mingsheng was at Google, where he led teams to build storage and querying stacks that power Google’s $100 billion