We announced the release of Kuma – a modern, universal control plane for service mesh back in September 2019. Since then, a roaring wave of community feedback and contribution has flooded the project. And that’s a good thing, so thank you to everyone who has given their time to helping Kuma grow. One recurring feedback we got was that the community was excited to see a platform-agnostic service mesh.
This article follows our first blog post related to Kraken’s deployment on Kubernetes. It is a step by step guide explaining how to deploy the InfluxDb/Telegraf/Grafana stack used to generate load testing reports on Kraken.
Kraken is a load testing solution currently deployed on Docker. In order to use several injectors (Gatling) while running a load test, its next version might rely on Kubernetes. This blog post belongs to a series that describe how to use Minikube, declarative configuration files and the kubectl command-line tool to deploy Docker micro-services on Kubernetes. It focuses on the installation of an Angular 8 frontend application served by an NGinx Ingress controller.
Service mesh is redefining the way we think about security, reliability, and observability when it comes to service-to-service communication. In a previous blog post about service mesh, we took a deep dive into our definition of this new pattern for inter-service communication. Today, we’re going to take you through how to use Istio, an open source cloud native service mesh for connecting and securing east-west traffic.
Since the release of Talend 7.1 users can build Talend jobs as Docker images and publish them to Docker registries. In this blog post, I am going to run through the steps to publish to the major cloud provider container registries (AWS, Azure and Google Cloud). Before I dig into publishing container images to registries, I am going to remind you the basics of building Talend Jobs in Docker images from Talend Studio as well as point out the difference between a local build and a remote build.
Kubernetes is fundamentally changing container orchestration; is your stack ready to support it at scale? Watch the talk recording to learn how Kong’s Kubernetes Ingress Controller can power-drive your APIs and microservices on top of the Kubernetes platform. Hear Kong engineers walk through the process of setting up the Ingress controller and review its various features.
In my last blog I described how to achieve continuous integration, delivery and deployment of Talend Jobs into Docker containers with Maven and Jenkins. This is a good start for reliably building your containerized jobs, but the journey doesn't end there. The next step to go further with containerized jobs is scheduling, orchestrating and monitoring them.
