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With KubeCon North America 2019 drawing near, we are excited to share the latest developments from Banzai Cloud. Stop by our booth SE74 to see what exciting new products Banzai Cloud brings into the fold. Don’t miss the opportunity to connect with our team, register for 1:1 sessions, and experience the magic of Hungarian pálinka (it will be under the table, code word: pah-lyn-kah). Join us for a taste! BOOK A MEETING
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Istio the easiest way! 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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Over the last few months we’ve been working on implementing a new internal Pipeline framework for managing integrated cluster services. While most of those services had already been supported as part of our cluster create flow, now they have been separated from that flow and have been componentized in Banzai Cloud Platform 2.0. This was done for two reasons: we wanted to give users the flexibility to install and uninstall these services at any time during a cluster’s lifecycle, and we wanted them to be able to do so on any Kubernetes cluster, even ones that were not created by Pipeline (note, with 2.
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We are delighted to announce our tech preview of Banzai Cloud Pipeline 2.0, the hybrid any-cloud platform. A little under a year ago we released the first commercial version of Banzai Cloud Pipeline and made it available for development and PoCs by launching our Try Pipeline initiative. Banzai Cloud Pipeline 1.0 was the first incarnation of our vision for a productive and flexible multi-cloud container management platform (now supporting five public clouds and on-prem datacenters).
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One of the earliest features of our hybrid cloud container management platform, Pipeline, was to standardize the running of applications on Kubernetes with a framework we called Spotguides. Spotguides allowed us to build domain specific knowledge into apps, avoid writing boilerplate code, and go from commit to a production ready deployment in minutes. All of this while meeting enterprise-grade requirements such as federated monitoring, centralized log collection, security scans, cluster lifecycle management and lots more.
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Today we are happy to announce the first major release of Backyards, Banzai Cloud’s automated service mesh product. Before jumping into the details, we need to answer an obvious question: Why another service mesh product? The service mesh became one of the most hyped things lately, and it may seem that a new product is released every other week. Some of these received serious criticism in the Kubernetes community. And in some cases it really is hard to decide if they only exist because of the hype, or if there’s a real vision and a need behind them.
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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. Service interruptions caused by outages can have severe business consequences, so it’s important that we build, run and test resilient systems. Resiliency can be implemented and tested at multiple levels, from the bottom infrastructure layer all the way to the application.
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It’s been some time since we open sourced our Kafka Operator, an operator designed from square one to take advantage of the full potential of Kafka on Kubernetes. That guiding principle was what led us to use simple pods instead of StatefulSet. This blog will not detail our every design decision, so if you are interested in learning more, feel free to look at an earlier blog post about the operator.
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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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