Complex applications running on Kubernetes scale super fast, but this can create visibility gaps that can make detecting and troubleshooting Kubernetes issues as difficult as finding a needle in a haystack. Although Docker and Kubernetes are now becoming standard components when building and orchestrating applications, you’re still responsible for managing the performance of applications built atop this new stack.

The growing adoption of Hadoop and Spark has increased demand for Big Data and Performance Management solutions that operate at scale. However, enterprise organizations quickly realize that scaling from pilot projects to large-scale production clusters involves a steep learning curve. Despite progress, DevOps teams still struggle with multi-tenancy, cluster performance, and workflow monitoring. This webinar discusses the top considerations when choosing a big data performance management solution.

If you’ve ever been surprised by the invoice from your cloud provider, then this video is for you! In this episode of Data Science & Analytics Patterns, we talk about managing your cloud costs by exporting billing data into your data warehouse and analyzing it with Looker.

How Dashbird.io accidentally racked up a cloud bill from hell and common mistakes to avoid and smart tricks to use in order to keep your cloud cost at bay.