Earlier this year, we introduced the Grafana Cloud Agent, a subset of Prometheus built for hosted metrics that runs lean on memory and uses the same service discovery, relabeling, WAL, and remote_write code found in Prometheus. Thanks to trimming down to the parts only needed for interaction with Cortex, tests of our first release have seen up to a 40% memory-usage reduction compared to an equivalent Prometheus process.

Back in March, we introduced the Grafana Cloud Agent, a subset of Prometheus built for hosted metrics. It uses a lot of the same battle-tested code as Prometheus and can save 40 percent on memory usage. Ever since the launch, we’ve been adding features to the Agent. Now, there’s a clustering mechanism, additional Prometheus exporters, and support for Loki. Our latest feature: Grafana Tempo! It’s an easy-to-operate, high-scale, and cost-effective distributed tracing system.

The observability market is undoubtedly hot. Consider the headline-grabbing evidence: multiple IPOs, hundreds of millions of dollars in venture capital funding for startups, and huge market caps of vendors playing in the space totalling more than $80 billion. Still, it has to be asked: Is all the hype warranted, or is this really just “absurdability”? We asked seven industry watchers to weigh in.

Grafana Tempo, the recently announced distributed tracing backend, relies on integrations with other data sources for trace discovery. Tempo’s job is to store massive numbers of traces, place them in object storage, and retrieve them by id. Logs and exemplars allow users to quickly and more powerfully jump directly to traces than ever before. Let’s dig into some examples with a live playground to try it out!

Hi folks, Ward Bekker here from the Solutions Engineering team. I’ve just published a video on the new Loki 2.0 release that I’m excited to share with you. The Loki team announced the brand-new Grafana Loki 2.0 release at last week’s ObservabilityCON conference. It’s an exciting, feature-packed release. Loki’s slogan — like Prometheus, but for logs — is more true than ever before.

MongoDB is one of the most popular NoSQL databases in the world, used by millions of developers to store application metrics from e-commerce transactions to hospital equipment inventory, from user logins to First World War diaries. MongoDB databases contain mountains of information that SREs, software engineers, and executives can visualize to run their businesses more effectively. Grafana dashboards are most effective when they are layered with context.

Over the past four days, Grafana Labs' ObservabilityCON 2020 brought together the Grafana community for talks dedicated to observability. We hope you enjoyed all of the sessions, which are available on demand now. (Link to them from the schedule on the event page). The conference wrapped up with predictions and advice from observability experts, lessons in failure, and Grafana Labs team members showcasing ways Grafana and other tools fit into an observability workflow.

Today is the last day of ObservabilityCON 2020! We hope you’ve had the chance to catch the talks so far, and will tune in live for today’s sessions. View the full schedule on the event page, and for additional information on viewing, participate in Q&As, and more, check out our quick guide to getting the most out of ObservabilityCON. If you aren’t up-to-date on the presentations so far, here’s a recap of day three of the conference.

Grafana v7.3 has been released! With Grafana 7.0, we rounded out our observability story by making tracing a first-class citizen in Grafana alongside metrics and logs. That release included integrations with Jaeger and Zipkin, and earlier this month, we announced our integration with AWS X-Ray. At ObservabilityCON on Monday, we announced Grafana Tempo, our new open source distributed tracing system. Tempo is massively scalable, cost-effective, and easy to operate.

ObservabilityCON 2020 is live! This week Grafana Labs is bringing together the Grafana community for talks dedicated to observability. We hope you’re able to catch the great sessions we have planned. You can find the full schedule on the event page, and for additional information on viewing, participating in Q&As, and more, check out our quick guide to getting the most out of ObservabilityCON. Day 2 was dedicated to all things Prometheus — featuring new solutions and in-depth case studies.