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Two core features of the Pipeline platform are advanced security and observability for all Kubernetes deployments. We make sure that all secrets are securely stored, transported, images scanned, deployments monitored, and logs centrally collected. As you might expect from us, we use the industry standard in security components, such as Vault, Prometheus, Grafana, Fluent and more. This post is about monitoring Vault with Prometheus (on Kubernetes) and displaying metrics on Grafana.
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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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Jun 25 2018

Hands on Thanos

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Here at Banzai Cloud we blog a lot about Prometheus and how to use it. One of the problems we have so far neglected to discuss is the inadequate long term storage capability of Prometheus. Luckily a new project called Thanos seeks to address this. If you are not familiar with Prometheus, or are interested in other monitoring related articles, check out our monitoring series, here: Monitoring series: Monitoring Apache Spark with Prometheus Monitoring multiple federated clusters with Prometheus - the secure way Application monitoring with Prometheus and Pipeline Building a cloud cost management system on top of Prometheus Monitoring Spark with Prometheus, reloaded
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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
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At Banzai Cloud we place a lot of emphasis on the observability of applications deployed to the Pipeline Platform, which we built on top of Kubernetes. To this end, one of the key components we use is Prometheus. Just to recap, Prometheus is: an open source systems monitoring and alerting tool a powerful query language (PromQL) a pull based metrics gathering system a simple text format for metrics exposition Problem statement Usually, legacy applications are not exactly prepared for these last two, so we need a solution that bridges the gap between systems that do not speak the Prometheus metrics format: enter exporters.
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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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Monitoring series: Monitoring Apache Spark with Prometheus Monitoring multiple federated clusters with Prometheus - the secure way Application monitoring with Prometheus and Pipeline Building a cloud cost management system on top of Prometheus Monitoring Spark with Prometheus, reloaded At Banzai Cloud we provision and monitor large Kubernetes clusters deployed to multiple cloud/hybrid environments. These clusters and applications or frameworks are all managed by our next generation PaaS, Pipeline.
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At Banzai Cloud we run multiple Kubernetes clusters deployed with our next generation PaaS, Pipeline, and we deploy these clusters across different cloud providers like AWS, Azure and Google, or on-premise. These clusters are typically launched via the same control plane deployed either to AWS, as a CloudFormation template, or Azure, as an ARM template. And, since we practice what we preach, they run inside Kubernetes as well. One of the added values to deployments via Pipeline is out-of-the-box monitoring and dashboards through default spotguides for the applications we also support out-of-the-box.
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