Architecting Istio 1.1 for Performance

April 8, 2019

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Hyper-scale, microservice-based cloud environments have been exciting to build but challenging to manage. Along came Kubernetes (container orchestration) in 2014, followed by Istio (container service management) in 2017. Both open-source projects enable developers to scale container-based applications without spending too much time on administration tasks.

Now, new enhancements in Istio 1.1 deliver scale-up with improved application performance and service management efficiency. Simulations using our sample commercial airline reservation application show the following improvements, compared to Istio 1.0.

Source: istio.io

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Istio and Kubernetes in production. Part 2. Tracing

In the previous post, we took a look at the building blocks of Service Mesh Istio, got familiar with the system, and went through the questions that new Istio users often ask. In this post, we will look at how to organize the collection of tracing information over the network. The first thing that developers and system administrators think about when they hear the term Service Mesh is tracing.

Combining Federation V2 and Istio Multicluster

In a previous post, we saw how to leverage Istio Multicluster to deploy an application (bookinfo) on multiple Red Hat OpenShift clusters and apply mesh policies on all of the deployed services. We also saw that the deployment process was relatively complex. In this post we are going to see how Federation V2 can help simplify the process of deploying an application to multiple clusters.

Architecting Istio 1.1 for Performance

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