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Our thinking that there was a hunger for an operator that makes easy the provisioning and operating Kafka clusters on Kubernetes which is not based on Kubernetes stateful sets, proved to be correct as shortly after we released the first version our open-source Banzai Cloud Kafka Operator a community started to build around it. We received lots of valuable feedback that helps to shape the future of the Kafka operator and also feature contributions from the community.
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On this blog we’ve already discussed our totally redesigned logging operator, which automates logging pipelines on Kubernetes. Thanks to the tremendous amount of feedback and the numerous contributions we received from our community, we’ve been able to rethink and redesign that operator from scratch, but the improvements aren’t going to stop coming any time soon. Our goal is to continue removing the burden from human operators, and to help them manage the complex architectures of Kubernetes.
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At Banzai Cloud we work with cutting edge cloud technology every single day. Nowadays cloud and container related softwares are almost exclusively written in the Go programming language, so it’s no surprise most of our projects (Pipeline or Bank-Vaults to name a few) are also written in Go. In this post we will take a look at our favorite features of the latest (1.13) Go release. Reproducible builds — -trimpath Reproducible builds (or deterministic compilation) is the process of compiling a software in a way that ensures that the resulting artifact can be reproduced, given certain conditions are met.
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Service interruptions caused by outages have severe consequences that range from harming a provider’s reputation to frustrating a customer to the point that they move to a competitor, so it’s extremely important to build and run resilient systems. Resiliency must be implemented at multiple levels from the bottom infrastructure layer to the application. For our customers, it’s a necessity that the EKS clusters they deploy their production applications onto be highly available.
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Check out Backyards in action on your own clusters: curl https://getbackyards.sh | sh && backyards install -a --run-demo What to know more? Get in touch with us, or delve into the details of the latest release. 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.
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One of the key features of Pipeline, our hybrid cloud container management platform, is its ability to provision Kubernetes clusters across five different cloud providers (Alibaba, Azure, Amazon, Google, Oracle), private datacenters (vmWare, baremetal, etc), or any combination thereof. It does this by using either cloud provider-managed Kubernetes, or our own CNCF certified Kubernetes distribution - PKE. Each cloud provider’s internal LB is different, and so is the way each is integrated with Kubernetes.
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About a year ago we published the first release of our popular logging-operator. The initial version of that operator was designed to fit Pipeline, the Banzai Cloud hybrid cloud container management platform. However, since then, all kinds of people have found it to be an extremely useful tool that helps them manage their logs on Kubernetes. Initially, Fluent ecosystem automation was enough to support the disparate needs of our userbase, but, as the popularity of the logging-operator grew, different setups were put in place by our community that revealed some of its limitations.
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Check out Backyards in action on your own clusters: curl https://getbackyards.sh | sh && backyards install -a --run-demo What to know more? Get in touch with us, or delve into the details of the latest release. Since releasing our open-source Istio operator, we’ve been doing our best to add support for the latest versions of Istio as rapidly as possible. Today, we’re happy to announce that we have added Istio 1.
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Banzai Cloud’s Pipeline platform is an operating system that allows enterprises to develop, deploy and scale container-based applications. It leverages best-of-breed cloud components, such as Kubernetes, to create a highly productive, yet flexible environment for developers and operations teams alike. Strong security - multiple authentication backends, fine grained authorization, Vault-based dynamic secret management, automated secure communications between components using TLS, vulnerability scans, static code analysis, pod and network policies etc.
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Check out Backyards in action on your own clusters: curl https://getbackyards.sh | sh && backyards install -a --run-demo What to know more? Get in touch with us, or delve into the details of the latest release. 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.
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