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Apache Spark on Kubernetes series: Introduction to Spark on Kubernetes Scaling Spark made simple on Kubernetes The anatomy of Spark applications on Kubernetes Monitoring Apache Spark with Prometheus Apache Spark CI/CD workflow howto Spark History Server on Kubernetes Spark scheduling on Kubernetes demystified Spark Streaming Checkpointing on Kubernetes Deep dive into monitoring Spark and Zeppelin with Prometheus Apache Spark application resilience on Kubernetes Apache Zeppelin on Kubernetes series: Running Zeppelin Spark notebooks on Kubernetes Running Zeppelin Spark notebooks on Kubernetes - deep dive CI/CD flow for Zeppelin notebooks

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At Banzai Cloud we use different cloud providers or managed Kubernetes offerings, one of which is Microsoft Azure Managed Kubernetes. It’s a pretty soid service that allows you to deploy a managed k8s cluster without requiring you to deal with low level Kubernetes building blocks, tooling, or cloud infrastructure provisioning. However, there is one temporary issue which is a cornerstone of our PasS, Pipeline: the Azure Go-SDK does not contain the bindings for our new service.

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I had no intention of making or joining a new startup (after a successful exit that was a good financial decision but turned out to be terrible professional one), when a few former co-founders of SequenceIQ and friends that I’d been working with at Fathom Technology/Epam Systems approached me after I arrived home from an extended surfing trip. A handful of them had moved on to a project for a banking giant that invovled microservice-based Java applications scheduled with Nomad.

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