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In production systems mostly when working in microservices architecture, it is soon realized that monitoring each service individually is often not enough to troubleshoot complex issues. It becomes a necessity to have a full picture of the whole call stack through the entire application with detailed information on service topologies, network latencies and individual request durations. This is usually where distributed tracing comes to the rescue. In this post, the concept of distributed tracing will be introduced in microservices architecture.
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Istio has been rightfully praised for ushering in free observability and secure service to service communication. Other, more significant features, however, are what truly make Istio the Swiss army knife of service mesh operators; when it comes to meeting SLOs like uptime, latency and error rates, the ability to manage traffic between services is absolutely critical. When we released the Istio operator earlier this year, our goal (besides managing Istio installation and upgrades) was to provide support for these excellent traffic routing features, while making everything more usable and UX friendly.
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At Banzai Cloud we work with Istio quite a bit and run a lot of Istio-based service meshes for our customers. Earlier this year we opensourced the Banzai Cloud Istio operator in order to simplify provisioning, management, upgrades, and multi-cluster scenarios. However, we still felt that this was not simple enough. A few months ago we announced Backyards, a method of simplifying, creating and managing Istio, with planned support for all Istio features - the more complicated, the better!
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Since releasing our open-source Istio operator, we’ve been doing our best to add support for the latest Istio versions as rapidly as possible. Today, we’re happy to announce that we have added Istio 1.2 support for the Banzai Cloud Istio operator. When we added Istio 1.1 support for the operator, we wrote a detailed blog post about how to employ a seamless Istio control plane upgrade in a single-mesh, single-cluster setup.
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When we added support for Istio’s service mesh in the Pipeline platform, we experienced first hand how the deployment and management of Istio can become increasingly complex. We realized that we weren’t the only ones managing Istio with Helm dealing with these problems - that demand was emerging for an Istio operator (e.g. #9333). We decided to build an Istio operator of our own, and more than a month ago we open sourced it.
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