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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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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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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
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At Banzai Cloud we provision different frameworks and tools like Spark, Zeppelin and, most recently, Tensorflow, all of which run on our Pipeline PaaS (built on Kubernetes). One of Pipeline’s early adopters runs a Tensorflow Training Controller using GPUs on AWS EC2, wired into our CI/CD pipeline, which needs significant parallelization for reading training data. We’ve introduced support for Amazon Elastic File System and made it publicly available in the forthcoming release of Pipeline.
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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...
As 2017 comes to an end, we’re looking back at the three blog posts that were most popular with our readers. We can’t go too far back (though we’ve had 13 posts and one release already), since we founded our startup just a little over one month ago (on November 20, 2017, to be precise), but during this short period we’ve achieved a whole lot, and laid the foundation for some exciting new projects we plan to ship out early next year.
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Last week we released the first version of Pipeline - a PaaS with end to end support for cloud native apps, from GitHub commit hooks deployed to the cloud in minutes to the use of a fully customizable CI/CD workflow. At the core of the Pipeline PaaS are its spotguides - a collection of workflow/pipeline steps defined in a .pipeline.yml file and a few Drone plugins. In this post we’d like to demystify spotguides and describe, step by step, how they work; the next post will be a tutorial on how to write a custom spotguide and its associated plugin.
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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...