Banzai Cloud Logo Close
Home Products Benefits Blog Company Contact
Get Started
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...
At Banzai Cloud we develop a container management platform that provisions and orchestrates hundreds of Kubernetes clusters across six different cloud providers or hybrid clouds every day. Pipeline makes it easy for users to run applications on Kubernetes, but under the hood there is an insanely complex system, so it’s mission critical for us to have realtime information about what’s happening inside the platform and have access to historical data to investigate incidents our customers may have had.
Read more...
At Banzai Cloud we are passionate about observability, and we expend a great amount of effort to make sure we always know what’s happening inside our Kubernetes clusters. All clusters provisioned with Pipeline - our multi- and hybrid-cloud container management platform - are provided with, and rely upon, each of the three pillars of observability: federated monitoring, centralized log collection and traces. In order to automate log collection on Kubernetes, we opensourced a logging-operator built on the Fluent ecosystem.
Read more...
Update - Logging operator v2 Development doesn’t stop here; we’re constantly working to improve the logging-operator on the basis of feature requests made by our ops team and from recent customers. Here are some of those features: No limitations on label selectors Namespaced and Global resource scopes Visualised logging flows Secure output credential management Multi output log flows For more information Logs (one of the three pillars of observability besides metrics and traces) are an indispensable part of any distributed application.
Read more...
Update - Logging operator v2 Development doesn’t stop here; we’re constantly working to improve the logging-operator on the basis of feature requests made by our ops team and from recent customers. Here are some of those features: No limitations on label selectors Namespaced and Global resource scopes Visualised logging flows Secure output credential management Multi output log flows For more information At Banzai Cloud we put a lot of emphasis on observability, so we automatically provide centralized monitoring and log collection for all clusters and deployments done through Pipeline.
Read more...
For our Pipeline Platform, observability is an essential part of operating distributed applications in production. We put a great deal of effort into monitoring large and federated clusters, and automating the centralized log collection of these clusters with Pipeline. That way, all our users get out-of-the-box observability for free. Logging series: Centralized logging under Kubernetes Secure logging on Kubernetes with Fluentd and Fluent Bit Advanced logging on Kubernetes
Read more...
Update - Logging operator v2 Development doesn’t stop here; we’re constantly working to improve the logging-operator on the basis of feature requests made by our ops team and from recent customers. Here are some of those features: No limitations on label selectors Namespaced and Global resource scopes Visualised logging flows Secure output credential management Multi output log flows For more information In this blog we’ll continue our series about Kubernetes logging, and cover some advanced techniques and visualizations pertaining to collected logs.
Read more...
Update - Logging operator v2 Development doesn’t stop here; we’re constantly working to improve the logging-operator on the basis of feature requests made by our ops team and from recent customers. Here are some of those features: No limitations on label selectors Namespaced and Global resource scopes Visualised logging flows Secure output credential management Multi output log flows For more information As we eluded to in the last post in this series, we’ll be continuing our discussion of centralized and secure Kubernetes logging/log collection.
Read more...
Update - Logging operator v2 Development doesn’t stop here; we’re constantly working to improve the logging-operator on the basis of feature requests made by our ops team and from recent customers. Here are some of those features: No limitations on label selectors Namespaced and Global resource scopes Visualised logging flows Secure output credential management Multi output log flows For more information For our Pipeline PaaS, monitoring is an essential part of operating distributed applications in production.
Read more...