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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 Spark Streaming Checkpointing on Kubernetes Deep dive into monitoring Spark and Zeppelin with Prometheus Apache Spark application resilience on Kubernetes Collecting Spark History Server event logs in the cloud
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At Banzai Cloud we’re always looking for products or frameworks that add value to our business, which we can enable in our open source PaaS, Pipeline. Any list of such products would include serverless frameworks. Thus, today we’re adding Fn as a supported spotguide, making it easy for users to deploy Fn with Pipeline on their chosen cloud provider. Before we dive into how to deploy and use Fn with Pipeline, here are a few reasons why we thought Fn should be supported by Pipeline:
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At Banzai Cloud we provision different frameworks and tools like Spark, Zeppelin, Kafka, Tensorflow, etc to our Pipeline PaaS (built on Kubernetes). Last week we added serverless capabilities to Pipeline, using OpenFaas. This blog post explains how to deploy OpenFaaS to Kubernetes using Pipeline and invoke an example function. We’ll distinguish between the provisioning of the serverless frameworks we support (this post is about OpenFaaS but Pipeline also supports Kubeless), from the invocation of functions through the Pipeline API or CI/CD workflow once it’s dispatched to any of the serverless frameworks we deploy to Kubernetes.
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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 run and deploy containerized applications to Pipeline, our PaaS. Those of you who (like us) run Java applications inside Docker, have probably already come across the problem of JVMs inaccurately detecting available memory when running inside a container. Instead of accurately detecting the memory available in a Docker container, JVMs see the available memory of the machine. This can lead to cases wherein applications that run inside containers are killed whenever they try to use an amount of memory that exceeds the limits of the Docker container.
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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
Read more...
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
Read more...