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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.
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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.
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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.
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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.
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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.
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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.
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