Banzai Cloud Logo Close
Home Products Benefits Blog Company Contact
More than a month ago, we announced One Eye, the observability tool for Kubernetes. This has been an ongoing project, and we release a new version of it about once per week. We've gathered the features included in those updates here to keep you up to speed. If you are not familiar with One Eye, check out our introductory blog post or browse the official documentation. Who is One Eye for?
Read more...
If you've been reading our blog you already know that we're passionate about observability. We are convinced that the key to operating a reliable system is to know what happens where, and the correlated ability to rapidly dissect issues as they emerge. In previous posts we've gone over the base components of our suggested stack, which includes Prometheus, Thanos, Fluentd, Fluentbit, and many others. We've created several tools and operators to ease the management of these components, like the Istio operator, Logging operator, Thanos operator as well as using some other very popular operators, like the Prometheus one.
Read more...
When something goes wrong in your mesh, the first thing you'll probably notice is an alert about your services: error rate or latency is increasing. But it's only a symptom and the real root cause can be a whole bunch of different things, like underlying Kubernetes problems, application bugs or node failures. This blog post shows you how to track such an issue and find the root cause: in this example, a misconfiguration in a Kubernetes cluster.
Read more...
Today we are happy to announce a new release of the Banzai Cloud logging operator. It’s been a long time from the first commits till today, and is always nice to look back, learn and reflect on the evolution of the project. The first major release, June 2018 This was the very first release, and among the first operators we made. The operator pattern was pretty new, and the goal of the first logging operator was fairly simple - automate the manual fluent ecosystem configurations we were doing for our customers with the Pipeline platform.
Read more...
At Banzai Cloud we support and manage hybrid Kubernetes clusters for our customers across five clouds and on-prem (bare metal, VMware). Therefore, the ability and fluency required to observe these clusters is an absolute must. Very frequently, the Pipeline control plane is tasked with managing multiple Kubernetes clusters, which it does through our own CNCF certified Kubernetes distribution, PKE, or a cloud provider-managed distribution. When that happens, it's important that we federate metrics, collect them into a single place for querying, analysis and long term storage.
Read more...
Without a doubt Prometheus has become the de facto standard monitoring solution for Kubernetes, the same way it has become a core component of the Pipeline platform's monitoring service. However, Prometheus already has a well defined mission with a focus on alerts and the storage of recent metrics. Prometheus’ local storage is limited by single nodes in its scalability and durability. Instead of trying to solve clustered storage in Prometheus itself, Prometheus has a set of interfaces that allow integration through remote storage systems.
Read more...
Kubernetes is a highly extensible framework that is built from a bunch of loosely coupled components. This gives a very high level of flexibility, but adds some new challenges to the operation compared to monolithic solutions of similar systems of the past. One of these challenges is observability, especially log collection. This post describes how to collect the logs of Kubernetes components in detail, but does not discuss the collection of application (workload) logs.
Read more...
Frequent readers of our blog and users of our hybrid cloud container management platform, Pipeline, will be familiar with the integrated cluster services that come with it. These services are automated end-to-end solutions for centralized logging, federated monitoring, security scans, advanced credential management, autoscaling, registries and lots more (see, for example, automated DNS management for Kubernetes). Providing an automated logging solution, and making sure it works seamlessly across multiple clusters, has always been part of Pipeline.
Read more...
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.
Read more...
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.
Read more...