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At Banzai Cloud we are building an application-centric platform for containers - Pipeline - running on Kubernetes to allow developers to go from commit to scale in minutes. We support multiple development languages and frameworks to build applications, with one common goal: all Pipeline deployments receive integrated CI/CD, centralized logging, monitoring, enterprise-grade security, autoscaling, and spot price support automatically, out of the box. In most cases we accomplish this in a non-intrusive way (i.

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A good number of years ago, back at beginning of this century, most of us here at Banzai Cloud were in the Java Enterprise business, building application servers (BEA Weblogic and JBoss) and JEE applications. Those days are gone; the technology stack and landscape has dramatically changed; monolithic applications are out of fashion, but we still have lots of them running in production. Because of our background, we have a personal investment in helping to shift Java enterprise edition business applications towards microservices, managed deployments, Kubernetes, and the cloud using Pipeline.

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The Pipeline PaaS contains a complete CI/CD component to support developers building, deploying and operating applications in an automated way on Kubernetes. Most of our documentation, blog posts and how-tos have focused on Spark, Zeppelin and Tensorflow examples. However, it is possible to build and deploy any application with Pipeline’s CI/CD component. Our last post about the Banzai Cloud CI/CD flow described how to build/deploy a Spring Boot application on Kuberbetes.

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The Pipeline PaaS contains a complete CI/CD component to support developers building, deploying and operating applications in an automated way, deployed to Kubernetes. Most of our documentation, blog posts and howtos have so far focused on Spark, Zeppelin and Tensorflow examples. However, we can actually build and deploy any application with Pipeline’s CI/CD component. This post showcases how to enable a simple Spring Boot application for the Banzai Cloud CI/CD flow, build and save the necessary artifacts, and deploy it to a Kubernetes cluster.

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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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