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Banzai Cloud Pipeline is a managed Cloud Native application and devops platform. It is the central place where you can create and manage your clusters, secrets, service meshes, or CI/CD projects. Pipeline supercharges the development, deployment and scaling of container-based applications with native support for multi- and hybrid-cloud environments. Pipeline is basically an API service with an easy to use command line tool, a web interface, and language bindings. Go »
Banzai Cloud Pipeline Kubernetes Engine (PKE) is a simple, secure and powerful CNCF-certified Kubernetes distribution, the preferred Kubernetes run-time of the Pipeline platform. It was designed to work on any cloud, VM or on bare metal nodes to provide a scalable and secure foundation for private clouds. PKE is cloud-aware and includes an ever-increasing number of cloud and platform integrations.
Bank-Vaults is a Vault swiss-army knife: a K8s operator, Go client with automatic token renewal, automatic configuration, multiple unseal options and more. A CLI tool to init, unseal and configure Vault (auth methods, secret engines). Direct secret injection into Pods.
Banzai Cloud Backyards (Backyards) is a multi and hybrid-cloud enabled service mesh platform for constructing modern applications. Built on Kubernetes, our Istio operator, and Pipeline, Backyards enables flexibility, portability and consistency across on-premise datacenters and on five cloud environments.
Banzai Cloud One Eye (One Eye) brings observability for multi-cluster Kubernetes infrastructures to automate the collection, correlation, and storage of logs and metrics.
Banzai Cloud Supertubes (Supertubes) is the deployment tool for setting up and operating production-ready Kafka clusters on Kubernetes, leveraging a Cloud Native technology stack. Supertubes includes Zookeeper, the Banzai Cloud Kafka operator, Envoy, and many other components hosted in a managed service mesh. All components are automatically installed, configured, and managed in order to operate a production-ready Kafka cluster on Kubernetes.