Dashboards

Yesterday at KubeCon + CloudNativeCon EU, Grafana Labs software engineer Marco Pracucci, a Cortex and Thanos maintainer, teamed up with Thor Hansen, a software engineer at Hashicorp, to give a presentation called “Scaling Prometheus: How we got some Thanos into Cortex.” In their talk, the pair discussed a new storage engine they have built into Cortex, how it can reduce the Cortex operational cost without compromising scalability and performance, and lessons learned from running Cortex at s

This morning, we announced that we raised $50 million in Series B funding. This additional funding, following our $24 million round last October, will enable us to dramatically accelerate research and development at Grafana Labs. We plan to hire more engineers and focus on product innovation. And importantly, it will help us continue to nurture and grow our community of millions of developers around the world.

You’re ingesting 20,000 data points a second, in 400,000 metrics, from thousands of AWS instances – and your monitoring can’t handle the load. You need a scalable, highly-available monitoring and dashboarding solution (and you need it yesterday). Should you do it yourself with an in-house Graphite or Prometheus monitoring system? Or will you skip the headache and choose a hosted service like MetricFire?

In a recent blog post, I wrote about the work we’ve done over the past year on Cortex blocks storage. Cortex is a long-term distributed storage for Prometheus. It provides horizontal scalability, high availability, multi-tenancy and blazing fast query performances when querying high cardinality series or large time ranges.

The audience was buzzing when Ryan McKinley, VP of Innovation at Grafana Labs, demoed the new native support for InfluxDB Flux queries in his talk at the InfluxDays virtual conference in late June. Whether the goal is to build IoT applications, or monitor DevOps infrastructure or another application or system, it’s important to move beyond just visualizing the data.

In helping users unify and contextualize all their observability data, Grafana is completely database-agnostic. “We believe that organizations get the best view of what’s going on when they pull in their data from wherever it lives,” said Raj Dutt, CEO of Grafana Labs, the company behind Grafana.