Grafana Labs Launches Major New Infrastructure and Cost Monitoring Capabilities
KUBECON, CHICAGO, November 2, 2023 – Grafana Labs, the company behind the world’s most ubiquitous, open and composable operational dashboards, today is announcing new Grafana Cloud capabilities designed for Kubernetes platform teams seeking to reduce cloud costs and gain more unified monitoring experiences across their entire cloud native infrastructure.
This announcement comes in advance of KubeCon + CloudNativeCon, the industry’s largest open source conference dedicated to Kubernetes, Prometheus, and other cloud native technologies, taking place November 6-9 in Chicago. These new developments will be featured at the Grafana Labs KubeCon booth (#C18).
“Kubernetes leveled up platform engineering and redefined how global distributed teams could access shared infrastructure – but teams have to use multiple different platforms to cover the full breadth of cost monitoring, system health, incident management and related K8s infrastructure concerns,” said Tom Wilkie, Grafana Labs CTO and CNCF Governing Board member. “We believe that Grafana Cloud, our fully managed offering that makes it easier to get started with observability and includes a generous forever-free tier, gives platform teams more insight under one roof than any other observability tool for Kubernetes environments.”
Updates to Grafana Cloud’s Kubernetes Monitoring solution
With Kubernetes Monitoring, the solution introduced to the fully managed Grafana Cloud observability platform last year, users can automatically ship metrics to Grafana Cloud after installing the Grafana Agent into one or more Kubernetes clusters. Once this connection is made, Grafana Cloud users have out-of-the-box access to their Kubernetes metrics, logs, and events via prebuilt dashboards and alerts. The latest updates include:
- Cost monitoring: This feature, which leverages the CNCF sandbox project OpenCost, allows platform teams to measure infrastructure spend on Kubernetes deployments – breaking down costs to nodes, persistent volumes, and load balancers – across multi-cloud environments. Cost monitoring shows your AWS, GCP, and Azure environment costs alongside suggestions for resource areas where you can optimize for savings, such as CPUs, RAM, and more. For more about tracking cloud costs, check out the KubeCon session Where’s Your Money Going? The Beginner’s Guide to Measuring Kubernetes Costs. Grafana Labs engineers Mark Poko and JuanJo Ciarlante will discuss Grafana Labs’ journey toward cost observability and lessons learned in optimizing cloud spend.
- Out-of-the-Box Kubernetes Traces: Grafana Cloud is experimenting with adding the possibility of scraping traces for Kubernetes clusters. Data can be then sent to Grafana Tempo for visualization. Rather than jumping between different Kubernetes infrastructure components to find out “what happened” in complex incident resolution scenarios, Grafana Cloud would allow platform teams to trace specific Kubernetes events from start to finish with a simple agent install.
- Kubernetes Monitoring landing page: Grafana Cloud’s new Kubernetes Monitoring landing page further reduces context switching for platform teams by bringing all of the most pressing issues you might have in your Kubernetes infrastructure to the surface automatically, in a single, predefined view. From pods in trouble (either crashlooping or not starting correctly), to nodes that have memory or disk pressure, to persistent volumes above 90 percent capacity, Grafana Cloud’s Kubernetes Monitoring makes intelligent inferences that identify problem areas before they bring systems down.
- Simplified Helm installation: Grafana Cloud’s new Helm installation makes it easy to install the Kubernetes Monitoring solution and get started scraping Kubernetes metrics, logs, and traces. It’s open source, any platform team can run it with the Grafana Agent, and it ships with basic configurations for what you want it to include. Kubernetes Monitoring is compatible with ArgoCD, Prometheus, Terraform, OTel Collector, Windows Exporter, or Ansible.
- Easy monitoring of services running on your Kubernetes fleet: Kubernetes Monitoring in Grafana Cloud includes out-of-the-box integrations that come with prebuilt dashboards, rules, and alerts for Aerospike, Apache ActiveMQ, Cilium, CoreDNS, etcd, NGINX, GitLab, Apache Kafka, CockroachDB, Apache Cassandra, PostgreSQL, MySQL. Grafana Cloud has bundled all of these integrations into a single solution themed for various monitoring use cases. If you have an application running in Kubernetes, you can also see where your application lives within your Kubernetes fleet – whether on AWS, Google, Amazon, OpenShift, or any other common Kubernetes distributions.
Continued contributions to CNCF open source projects
- Deeper OpenTelemetry and Prometheus integrations: Grafana Labs is the only company leading in contributions to Prometheus and OpenTelemetry. One main area of focus has been interoperability between the two projects. Now that OpenTelemetry Metrics is stable, it has gained traction among users, and more people are coupling OTel with Prometheus as the backend. In the last year and a half, the Prometheus working group, which includes Grafana Labs’ Goutham Veeramachaneni, has been improving the usability of Prometheus with OpenTelemetry, including adding native OTLP ingestion in Prometheus.
- Continuous profiling for OpenTelemetry: Grafana Labs Engineering Director Ryan Perry is working with the community to integrate continuous profiling into the OpenTelemetry project. At KubeCon, Perry’s session – A Tale of Two Flamegraphs: Unlocking Performance Insights in a Diverse Application Landscape – will trace the evolution of performance profiling as a key “fourth pillar” in observability (adding a new dimension beyond metrics, logs, and traces), and provide an update on the efforts of Grafana Labs and other OpenTelemetry contributors to enable optimizing applications across diverse programming languages and platforms.
For more information on Kubernetes monitoring, see the blog post.
You can also learn more about these developments at the following KubeCon talks featuring Grafana Labs engineers:
- Monday, November 6 at 9:50 am CT: Session: Business Observability - FinOps at Grafana Labs, featuring Richard Hartmann, Director of Community and a member of the Office of the CTO at Grafana Labs
- Tuesday, November 7 at 9:40 am CT: Keynote Panel: Environmental Sustainability in the Cloud is Not a Mythical Creature, featuring Grafana Labs Software Engineer Niki Manoledaki
- Tuesday, November 7 at 11:55 am CT: Session: A Tale of Two Flamegraphs: Unlocking Performance Insights in a Diverse Application Landscape, presented by Ryan Perry, engineering director at Grafana Labs
- Wednesday, November 8 at 2:30 pm CT: Session: OpenTelemetry Contribfest, featuring Grafana Labs Principal Software Engineer Juraci Paixão Kröhling
- Thursday, November 9 at 2:55 pm CT: Session: Where’s Your Money Going? The Beginner’s Guide to Measuring Kubernetes Costs, presented by Grafana Labs Principal Engineer JuanJo Ciarlante and Senior Software Engineer Mark Poko
About Grafana Labs
Grafana Labs provides an open and composable monitoring and observability stack built around Grafana, the leading open source technology for dashboards and visualization. There are more than 3,000 Grafana Labs customers, including Bloomberg, Citigroup, Dell Technologies, Salesforce, and TomTom, and more than 20 million users of Grafana around the world. Grafana Labs helps companies manage their observability strategies with the LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise offerings, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo) as well as extensive enterprise data source plugins, dashboard management, alerting, reporting, and security. Grafana Labs is backed by leading investors Lightspeed Venture Partners, Lead Edge Capital, GIC, Sequoia Capital, Coatue, and J.P. Morgan. Follow Grafana Labs on LinkedIn and Twitter or visit https://grafana.com.