New York, NY, USA
Jan 19, 2022   |  By Kim Miroy
Networks are the backbone of inter-communications within computer systems and applications. When networks go down or experience any interruption of service, the impact is widely felt and can result in significant service disruptions and lost revenue. This is why network monitoring is mission critical for organizations. Visibility into network performance is key to ensuring that network engineering teams can be more proactive and identify problems before those issues cause outages.
Jan 14, 2022   |  By Michelle Tan
After the success of our first company-wide hackathon last June, we committed to hosting more hackathons each year. So in December, Grafana Labs invited the company to once again press pause on the daily grind and commit five days to our second hackathon. And the Grafanistas showed up: 148 staffers (almost 20% more than the last round) signed on for the week-long event that involved virtual brainstorming, collaborative coding, and creative presentations.
Jan 13, 2022   |  By Myrle Krantz
It was a Wednesday in November, and we had just wrapped Grafana Labs' third virtual Grafana Cloud offsite of 2021. Outside my window, it was a dark and cold (8 degrees Celsius) night in Cologne (Köln), Germany. In Austin, Texas, it was early afternoon and headed for 80 degrees Fahrenheit. In Cape Town, South Africa, it was a windy and cool spring evening. And in Melbourne, Australia, our final speaker — who was up very early at 5 a.m. — was heading into a cool spring day.
Jan 12, 2022   |  By Anders Østhus
Anders Østhus is a DevOps Engineer on the Digital Tools team at Proactima AS, a consulting firm based in Norway that offers services and expertise in risk management, cybersecurity, healthcare, environmental solutions, and more. It can be difficult to orient yourself in the distributed tracing space, and getting all the parts of a tracing setup to play well with each other can be a bit tricky. But the benefits of tracing are undeniable.
Jan 11, 2022   |  By Suraj Sidh
We often hear from Grafana Cloud users who are asking for guidelines on how to write better alerts on synthetic monitoring metrics and get notified when synthetic monitoring detects a problem. We already ship a predefined alert in Grafana Cloud synthetic monitoring. A predefined alert that we ship is alerting on the probe_all_success_sum metric and makes use of the alert sensitivity config to create multiple Grafana Cloud alerting rules. Check out synthetic monitoring alerting docs for details.
Jan 10, 2022   |  By Lauren Johnson
Attracting and retaining top developer talent is a No. 1 priority for a lot of companies these days, including location technology company TomTom. As both the builder of the world’s largest developer community and an employer of thousands of developers, TomTom is always looking for developer-friendly tools to help their employees feel productive, efficient, and inspired.
Jan 7, 2022   |  By Vardan Torosyan
I’m an engineering manager at Grafana Labs serving on the Grafana Enterprise Operations team. I joined Grafana Labs in December 2020 and I just celebrated my first year at the company. The last 12+ months have been filled with the most exciting and rewarding experiences in my career, full of new opportunities and learnings. More importantly, I am lucky enough to meet and work with the wonderful people at Grafana Labs.
Jan 5, 2022   |  By Simon Legander
One of the common challenges when doing performance testing is the difficulty of correlating the metrics of your application with your testing results. Having available QA, infrastructure, and application metrics together allows engineering teams to better understand the behavior of their systems during the testing, helping to detect and prevent potential issues in their applications.
Jan 4, 2022   |  By Lauren Johnson
Legacy logging solutions simply couldn’t keep up with the complex, hyperconverged regional infrastructure at Civo, a Kubernetes service provider that enables users to launch k8s clusters within 90 seconds. “With our infrastructure and application deployment getting more complex and more distributed, we needed our logging solution and our entire observability stack to scale up with our needs,” said Anaïs Urlichs, Site Reliability Engineer at Civo.
Jan 3, 2022   |  By Rowan McVey
Grafana Labs has had a long commitment to educating our customers and community about all of our open source technologies and products, with our community Slack, webinars, conferences, documentation, and of course, this blog. In 2021, we decided that it was time to create a formal education program to provide more structured, repeatable, and scalable learning experiences – all while providing the same compelling and quality content our community is accustomed to.
Jan 5, 2022   |  By Grafana
Logging can provide immense detail when used well, or it can become a firehose and take hours to trawl through. The team supporting the Kubernetes platform at Civo needed a solution that was simple and performant and could be queried in ways to help and not hinder them In this talk, Civo SRE Anaïs Urlichs and Principal Engineer Alex Jones will illustrate how Loki was chosen and brought into the organization to empower engineers. Integrating with Prometheus and Grafana dashboards, Loki has allowed engineers to filter for precise information that helps them debug quicker.
Dec 21, 2021   |  By Grafana
New in Grafana Loki 2.4: The Simple Scalable Deployment Mode This mode is a bridge between running Loki as a single binary/monolithic mode and full-blown microservices. The idea is to give users more flexibility in scaling and provide the advantages of separating the read and write path in Loki. Command to run the flog log generator: Start correlating your data with Grafana Cloud and the new FREE tier.
Nov 18, 2021   |  By Grafana
Loki 2.4 and GEL 1.2 introduced a hybrid deployment model that takes the simplicity of running the Loki log aggregation solution as a single binary and introduces an easy path to high availability and scalability. Particularly for organizations running on virtual machine and bare metal (non-Kubernetes) environments, this is a game-changer! Learn more in this tutorial from Grafana Labs Senior Software Engineer Trevor Whitney.
Oct 8, 2021   |  By Grafana
We learned from a visually impaired astronomer that it was possible to use sonification to understand astronomical spectra. So during a hackathon at Grafana Labs we decided to turn time series into audio, and add sound to our alerting systems too. Kostas Pelelis is a Software Engineer at Grafana Labs living in Greece.
Oct 8, 2021   |  By Grafana
An introduction to Observability and how to setup a highly available monitoring platform, across multiple data centers. During this talk we investigate how to config a monitoring setup across 2 DCs using Prometheus, Loki, Tempo, Alertmanager and Grafana. Bram Vogelaar spent the first part of his career as a Molecular Biologist, he then moved on to supporting his peers by building tools and platforms for them with a lot of Open Source technologies. He now works as a DevOps Cloud Engineer at The Factory.
Oct 8, 2021   |  By Grafana
k6 is one of the newest additions to the Grafana Labs family, but what exactly is it, and what does it have to do with Grafana? In this session, Nicole van der Hoeven will demonstrate how to use k6, how to integrate it with Grafana, and why k6 and Grafana are better together. Nicole van der Hoeven is a Developer Advocate at k6, living in the Netherlands.
Oct 8, 2021   |  By Grafana
We want to make Grafana accessible to everyone! In this talk, Alexa will share how Grafana recently introduced Pa11y CI into the Grafana Continuous Integration pipeline. The library supports our developers and contributors to highlight a11y issues. And more importantly, it acts as a gatekeeper, stopping new A11y issues from making it into the project. You will additionally hear about the alternatives that were considered and their challenges. This talk will have everything!
Oct 8, 2021   |  By Grafana
When using Thanos on top of Prometheus we can leverage this for a unified way in a single data source to query all our data across multiple clusters, servers and Prometheis. Wiard van Rij is an Engineer at Fullstaq helping people, teams, and organizations with various cloud-native challenges with a strong focus on Kubernetes and Observability. Wiard is a Thanos team member, open source enthusiast and has extra fun with security and hacking.
Aug 30, 2021   |  By Grafana
Loki 2.3 introduces the pattern parser. Patterns are way simpler to write than Regex. As an added bonus, it's an order of magnitudes faster than the Loki regex parser. This means that you can now query way more semi-structured logs (nginx/envoy/syslog and more) in less time than before.
Aug 12, 2021   |  By Grafana
The wide time series format was introduced in Grafana 7.5, and has been the standard for time series data since. This new format does not work well with older panels though. WTF? Learn how to spot time series format issues, and solve them. Presented by Stephanie Closson, Software Engineer at Grafana Labs at Grafana East Coast Virtual Meetup - August 2021

Grafana provides a powerful and elegant way to create, explore, and share dashboards and data with your team and the world. Grafana is most commonly used for visualizing time series data for Internet infrastructure and application analytics but many use it in other domains including industrial sensors, home automation, weather, and process control.

Grafana has a robust plugin architecture built for extensibility. Visualize data from more than 40 data sources, including commercial databases and web vendors, and add new graph panels with rich data visualization options. There is built in support for many of the most popular time series data sources. It works with Graphite, Elasticsearch, Cloudwatch, Prometheus, InfluxDB and more.

Grafana Labs is the company behind Grafana, the leading open source software for visualizing time series data. Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.