Data on Kubernetes Day Europe 2024 talks are now available for streaming!

Watch Now!

Tag Archives: Operator

Developing a Multi-cluster Operator with the K8ssandra Operator

Cassandra is a highly scalable database with an architecture that makes it well suited for multi-region workloads. A Kubernetes cluster often spans across multiple zones within a single region. However,…

DBAs need lovin’ too!

An honest discussion about the challenges of running stateful, distributed applications inside of Kubernetes. This talk features Umair Mufti, former Manager of Data Services at DreamWorks where he led the…

Deploying Enterprise Databases on Kubernetes

“Is Kubernetes ready for stateful workloads?” is the first question that pops up when decision-makers consider deploying databases on Kubernetes. For years the answer was “don’t do it”, and for…

Cloud Native Database as a Service using Kubernetes

In the recent Cloud Native Computing Foundation (CNCF) survey, managing complexity is the number one issue faced by Kubernetes architects and practitioners. Deploying stateful applications in Kubernetes further adds to…

Migrating MongoDB to Kubernetes

Kubernetes needs help to create and manage stateful applications like databases. It needs a specific network configuration, persistent storage, and dedicated computing capacity. This applies to MongoDB. This talk goes…

Principles for building Kubernetes Operators

The automation of data services on Kubernetes is enjoying increasing popularity. Often engineers are surprised by the complexity when writing their first operator. In this talk the distilled experience collected…

The state of Kubernetes stateful workloads at DreamWorks

Interviewed by DoKC Head of Content Sylvain Kalache, Dreamworks’ Data Service Lead Ara Zarifian discusses how the company is managing stateful workloads on Kubernetes, key benefits, and challenges. DreamWorks currently…

Running Apache Spark on Kubernetes

Apache Spark is one of the leading frameworks for analyzing data in real-time with Spark Structured Streaming, this talk explains how to step by step run Spark structured streaming jobs…