In the previous article of this series, Deploy your API from a Jenkins Pipeline, we discovered how the 3scale toolbox can help you deploy your API from a Jenkins Pipeline on Red Hat OpenShift/Kubernetes. In this article, we will improve the pipeline from the previous article to make it more robust, less verbose, and also offer more features by using the 3scale toolbox Jenkins Shared Library.
Continue reading “Using the 3scale toolbox Jenkins Shared Library”
In a previous article, 5 principles for deploying your API from a CI/CD pipeline, we discovered the main steps required to deploy your API from a CI/CD pipeline and this can prove to be a tremendous amount of work. Hopefully, the latest release of Red Hat Integration greatly improved this situation by adding new capabilities to the 3scale CLI. In 3scale toolbox: Deploy an API from the CLI, we discovered how the 3scale toolbox strives to automate the delivery of APIs. In this article, we will discuss how the 3scale toolbox can help you deploy your API from a Jenkins pipeline on Red Hat OpenShift/Kubernetes.
Continue reading “Deploy your API from a Jenkins Pipeline”
This is the third of a series of three articles based on a session I held at Red Hat Tech Exchange EMEA. In the first article, I presented the rationale and approach for leveraging Red Hat OpenShift or Kubernetes for automated performance testing, and I gave an overview of the setup. In the second article, we looked at building an observability stack. In this third part, we will see how the execution of the performance tests can be automated and related metrics gathered.
An example of what is described in this article is available in my GitHub repository.
Continue reading “Automating tests and metrics gathering for Kubernetes and OpenShift (part 3)”
This is the first article in a series of three articles based on a session I hold at Red Hat Tech Exchange EMEA. In this first article, I present the rationale and approach for leveraging Red Hat OpenShift or Kubernetes for automated performance testing, give an overview of the setup, and discuss points that are worth considering when executing and analyzing performance tests. I will also say a few words about performance tuning.
In the second article, we will look at building an observability stack, which—beyond the support it provides in production—can be leveraged during performance tests. Open sources projects like Prometheus, Jaeger, Elasticsearch, and Grafana will be used for that purpose. The third article will present the details for building an environment for performance testing and automating the execution with JMeter and Jenkins.
Continue reading “Leveraging Kubernetes and OpenShift for automated performance tests (part 1)”
Join us for the next online DevNation Live on Thursday, July 19th at 12pm EDT for Container pipeline master: Continuous integration + continuous delivery with Jenkins, presented by Red Hat principal technical product marketing manager for Red Hat OpenShift, Siamak Sadeghianfar.
In this session, we’ll take a detailed look into how you can build a super slick, automated continuous integration and continuous delivery (CI/CD) Jenkins pipeline that delivers your application payloads onto the enterprise Kubernetes platform, Red Hat OpenShift. You see how zero-downtime deployment patterns can be part of your release process when you are using a container platform based on Kubernetes.
Automating your build, test, and deployment processes can improve reliability and reduce the need for rollbacks. However, we’ll show you how rollbacks can be handled too.
Register now and join the live presentation at 12pm EDT, Thursday, July 19th.
Continue reading “July 19th DevNation Live: Container pipeline master: Continuous integration + continuous delivery with Jenkins”
I woke up Tuesday morning to an email from AWS reporting a malicious activity on one of our instances. The report found an activity resembling “scanning remote hosts on the Internet…”. This confirmed our suspicion that something might be wrong with the CI instance. The instance contained our Jenkins (V2.32) server and some of our internal tools.
Continue reading “It’s Tuesday… Jenkins is down”
An introduction to microservices through a complete example
Today I want to talk about the demo we presented @ OpenShift Container Platform Roadshow in Milan & Rome last week.
The demo was based on JBoss team’s great work available on this repo:
Continue reading “The CoolStore Microservices Example: DevOps and OpenShift”
It’s been a while since Red Hat released version 3.3 of OpenShift Container Platform, this version is full of features.
Continue reading Using Pipelines in OpenShift 3.3+ for CI/CD
Editor’s note: Raffaele Spazzoli is an Architect with Red Hat Consulting’s PaaS and DevOps Practice. This blog post reflects his experience working for Key Bank prior to joining Red Hat.
A recount of the journey from three-months, to one-week release cycle-time.
This is the journey of KeyBank, a super-regional bank, from quarterly deployments to production to weekly deployments to production. In the process we adopted all open source software migrating from WebSphere to Tomcat and adopting OpenShift as our private Linux container cloud platform. We did this in the context of the digital channel modernization project, arguably the most important project for the bank during that period of time.
The scope of the digital channel modernization project was to migrate a 15-year old Java web app that was servlet-based, developed on a homegrown MVC framework and running on Java 1.6 and WebSphere 7.x to a more modern web experience and to create a new mobile web app.
This web app had grown more expensive to maintain and to meet our SLAs. It was the quintessential monolith app. Our architectural objective was to create an API layer to separate the presentation logic (web or mobile) from the business logic — what lay ahead was an effort to completely modernize the continuous integration and deployment process.
Continue reading “The fast-moving monolith: how we sped-up delivery from every three months, to every week”
In order for businesses to stay agile, developers must be able to deploy apps — quickly, efficiently, and in a streamlined manner. Red Hat Open Innovation Labs uses a container-driven application development framework to perform continuous delivery and accelerate innovation.
Continue reading Red Hat Open Innovation Labs: Automating CI/CD Deployment Pipelines