A few weeks have passed since the excitement of the major Grafana 6.0 release during GrafanaCon, which means it’s time for a new Grafana release. Grafana 6.1 iterates on the permissions system to allow for teams to be more self-organizing. It also includes a feature for Prometheus that enables a more exploratory workflow for dashboards.
The ELK Stack (Elasticsearch, Logstash and Kibana) is the weapon of choice for many Kubernetes users looking for an easy and effective way to gain insight into their clusters, pods and containers. The “L” in “ELK” has gradually changed to an “F” reflecting the preference to use Fluentd instead of Logstash and making the “EFK Stack” a more accurate acronym for what has become the de-facto standard for Kubernetes-native logging.
Today we are releasing Graylog v3.0.1 with a few bug fixes. Many thanks to our community for reporting issues and contributing fixes!
Cloud Foundry Application Runtime is an open source platform as a service (PaaS) for running applications and services. Frequently called simply “Cloud Foundry,” the Cloud Foundry Application Runtime (CFAR) is one of many interoperable projects within the Cloud Foundry family. For the purposes of this post, “Cloud Foundry” refers to the Application Runtime.
The grafana-polystat-panel plugin was created to provide a way to roll up multiple metrics and implement flexible drilldowns to other dashboards. This example will focus on creating a panel for Cassandra using real data from Prometheus collected from our Kubernetes clusters. We’ll focus on the basic metrics for CPU/Memory/Disk coming from cAdvisor, but a well-instrumented service will have many metrics that indicate overall health, such as requests per second, error rates, and more.
In the Prometheus 2.7 release, Ganesh Vernekar added a feature called “Subqueries”. Ganesh published an explanation of how to use subqueries over on the Prometheus blog. In this post we’ll share a couple of real-life examples of how we use them at Grafana Labs.
Everyone’s infrastructure is growing – today mostly in the container space. As we learned in Part 1 of this series – Docker Container Monitoring and Management Challenges, monitoring for containers is different from traditional server monitoring. In Part 2 we had a glance at key container metrics and in Part 3 we compared several open source tools for container monitoring.
Amazon EC2 is the cornerstone for any Amazon-based cloud deployment. Enabling you to provision and scale compute resources with different memory, CPU, networking and storage capacity in multiple regions all around the world, EC2 is by far Amazon’s most popular and widely used service.
Data! More data! What is Data Lake? Big Data is not only a more or less fashionable marketing “word”, but also contains a quite clear concept: the accumulation and processing of enormous amounts of data in order to take advantage of the knowledge they may contain. So far so good: it’s easy to describe (not so easy to do, though).
