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By Ishan Jain
Generative AI has emerged as a powerful force for synthesizing new content—text, images, even music—with astounding proficiency. However, monitoring, optimizing, and maintaining the health of these complex AI systems is challenging, and traditional observability tools are struggling to keep pace. At Grafana Labs, we believe that every data point tells a story, and every story needs a capable narrator.
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By Lionel Marks
Monitoring application health is a lot like monitoring your personal health. Vital signs such as heart rate, blood pressure, and overall well-being can spot problems before they escalate, helping us maintain good health. Similarly, application health requires constant monitoring of performance indicators like CPU usage, memory consumption, and application response times.
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By Kristin Knapp
We consistently roll out helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest updates for Grafana Cloud this month. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.
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By Kristin Knapp
As part of our big tent philosophy here at Grafana Labs, we believe you should be able to access and derive meaningful insights from your data, regardless of where that data lives. One of the ways we stay true to that philosophy is through our Enterprise data sources.
Prometheus has become an essential technology in the world of monitoring and observability. I’ve been aware of its importance for some time, but as a performance engineer, my experience with Prometheus had been limited to using it to store some metrics and visualize them in Grafana. Being a Grafanista, I felt I should dig deeper into Prometheus, knowing it had much more to offer than just being a place to throw performance test results.
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By Ismail Simsek
Over the summer we told you about an update to our core Prometheus data source, which was part of a larger shift in our effort to meet users where they are. It’s a change we’re really excited about, as it represents our biggest step yet toward enabling the creation of truly vendor-neutral data sources for Grafana.
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By Bryan Boreham
Even though I’m a Prometheus maintainer and work inside the Prometheus code, I found many of the details of PromQL, the Prometheus query language, obscure. Many times I would look something up, or go deep into the code to find out exactly what it did, only to forget it again the next month. So, trying to live up to my job title of Distinguished Engineer at Grafana Labs, I resolved to write the definitive guide: what really happens when I execute a PromQL query?
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By Lisa Jung
In the observability space, ease-of-use has always been a key differentiator for Grafana. As much as we want to offer a powerful observability platform to our users, we also want to ensure they can get up and running as quickly as possible. Still, for those of you sitting down to build your first dashboard, we totally understand that a little guidance can go a long way.
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By Jorge Creixell
When you investigate an incident, context is everything. Let’s say you’re working on-call and get pinged in the middle of the night. You open the alert and it sends you to a dashboard where you recognize a latency pattern. But is the spike normal for that time of day? Is it even relevant? Next thing you know, you’re expanding the time window and checking other related metrics as you try to figure out what’s going on. It’s not to say you won’t find the answers.
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By Usman Ahmad
In simple terms, containers are a standard package of software that enable applications to run consistently across different computing environments. Often, these applications are broken down into smaller collections of independent services known as microservices. For many organizations, these microservices-based applications have replaced traditional monolithic applications because they offer increased performance, flexibility, and scale.
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By Grafana
Welcome to Grafana 11.3! Scenes-powered dashboards are now generally available and the Explore Logs plugin is now installed by default. The dashboard experience has also improved in other ways including the ability to trigger API calls from any canvas element with the new Actions option and an update to transformations so you can apply calculations to dynamic fields. We’ve also simplified the alert setup experience, added customizable announcement banners that admins can send to all users, and improved some default permissions.
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By Grafana
In this demo video, Virginia Cepeda, senior software engineer at Grafana Labs, walks through the k6 browser checks feature in Grafana Cloud Synthetic Monitoring.
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By Grafana
In this video, Grafana Labs Staff Solutions Engineer Lionel Marks describes how to configure the OpenTelemetry Operator along with your Kubernetes cluster to automatically inject, configure, and package auto-instrumentation components that you can then monitor in Grafana Cloud Application Observability.
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By Grafana
In this video, Grafana Developer Advocate Leandro Melendez describes how Bar gauges simplify data by reducing every field to a single value while choosing how Grafana calculates the reduction.
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By Grafana
In this Community Call, Senior Software Engineer Trevor Whitney talks to us all about Explore Logs for Grafana Loki, an open-source app for visualizing logs from Loki in Grafana without needing to learn and write LogQL queries. He is joined by Senior Developer Advocates Nicole van der Hoeven and Jay Clifford. Community Calls are monthly meetings that are open to everyone interested in the development of Loki. They are an opportunity for software engineers working on Loki to discuss new features as well as for open-source users of Loki to ask questions.
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By Grafana
Coming to you from NYC, Grafana ObservabilityCON 2024's keynote introduces the latest features and AI/ML developments in the Grafana LGTM Stack and Grafana Cloud that make it easier and faster for you to identify and resolve issues and get value from your observability practice.
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By Grafana
In this video, Mat Ryer, Senior Principal Engineer at Grafana Labs, demonstrates how you can use the Explore Logs app to quickly gain insights from your data using a simple, point-and-click interface. Mat also discusses how you can use Explore Logs to drill down into your logs to investigate issues further, and how to use patterns to get rid of noise.
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By Grafana
In this video, Mat Ryer, Senior Principal Engineer at Grafana Labs, provides an overview of the Explore Traces app for Grafana, which lets you automatically surface insights from your traces with an intuitive, point-and-click interface. Mat demonstrates how you can use the Comparison view to quickly identify the source of errors, and how to drill down to see a full trace in detail to gain a more comprehensive understanding of your system.
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By Grafana
In this video, you will learn how to troubleshoot your application faster with Grafana Cloud Asserts, which provides contextual root cause analysis in Grafana Cloud. You'll learn how SLO alerts, the RCA (root cause analysis) Workbench, and prebuilt Grafana dashboards for Grafana Cloud solutions seamlessly work together to help you quickly investigate an issue.
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By Grafana
Here are all the components of Loki explained so that you can figure out how many instances of each you need for a resilient Loki deployment. Senior Developer Advocates Jay Clifford and Nicole van der Hoeven talk you through what each component does and which ones are optional.
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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.