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Grafana

Introduction to continuous profiling

In this video, we will review the advantages of continuous profiling, the difference between continuous profiling vs. traditional profiling, and how continuous profiling can fit into your overall observability strategy. You’ll also learn more about Grafana Phlare, the new open source continuous profiling database, and get a look at the latest flame graph visualization in Grafana.

Watch Grafana Labs CEO, Co-founder Raj Dutt discuss why companies need observability

Grafana Labs CEO and Co-founder Raj Dutt sat down with “NYSE Floor Talk” ahead of ObservabilityCON to discuss why companies are increasingly focused on observability as a means to improve customer satisfaction. In his conversation with Judy Khan Shaw, host of “NYSE Floor Talk,” Dutt also talked about Grafana Labs’ big tent philosophy and the growth of Grafana Labs and the Grafana open source community.

Reduce MTTR and improve UX with Grafana Enterprise: Inside Optum's observability stack

Among the 12 greatest stressors in life, six revolve around healthcare issues. From loss of a loved one to pregnancy and even retirement, these events often involve interactions with healthcare services — interactions that can either add to an individual’s stress or, ideally, help alleviate it.

How to monitor the health and resource usage of Kubernetes nodes in Grafana Cloud

The spine is essential to perform every activity, like crawling, walking, or swimming. Just as the spine is necessary to enable these functions, your Kubernetes infrastructure needs a backbone to be efficient and effective. So if Kubernetes clusters act as the spine of your architecture, then Kubernetes nodes are like the vertebrae — they make up a Kubernetes cluster in the same way the vertebrae form the spinal column.

Grafana and Cilium: Deep eBPF-powered observability for Kubernetes and cloud native infrastructure

Today, Grafana Labs announced a strategic partnership with Isovalent, the creators of Cilium, to make it easy for platform and application teams to gain deep insights into the connectivity, security, and performance of the applications running on Kubernetes by leveraging the Grafana open source observability stack.

How to manage high cardinality metrics in Prometheus and Kubernetes

Over the last few months, a common and recurring theme in our conversations with users has been about managing observability costs, which is increasing at a rate faster than the footprint of the applications and infrastructure being monitored. As enterprises lean into cloud native architectures and the popularity of Prometheus continues to grow, it is not surprising that metrics cardinality (a cartesian combination of metrics and labels) also grows.

How to autoscale Grafana Loki queries using KEDA

Grafana Loki is Grafana Labs’ open source log aggregation system inspired by Prometheus. Loki is horizontally scalable, highly available, and multi-tenant. In addition, Grafana Cloud Logs is our fully managed, lightweight, and cost-effective log aggregation system based on Grafana Loki, with free and paid options for individuals, teams, and large enterprises.