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Latest from the blog
A practical guide to data collection with OpenTelemetry and Prometheus
Juli 20
Grafana Labs has always been actively involved in the OpenTelemetry community,
even working with the predecessor projects OpenTracing and OpenCensus. We have
been supporting OTLP as the primary input protocol for our distributed tracing
project, Grafana Tempo, since its inception, and our Grafana Agent embeds parts
of the OpenTelemetry Collector. Our teammate Juraci Paixão Kröhling has also
been an OpenTelemetry Governance Committee member since 2021, and several others
of us are voting members of OpenTelemetry as well.
Real user monitoring in Grafana Cloud: Get frontend error tracking, faster root
cause analysis, and more
Juli 19
The frontend of a web application is the part that users directly interact with.
It’s the last mile of the digital service you deliver to your customers and it’s
directly associated with customer satisfaction and business objectives. Knowing
performance metrics such as CPU or memory is helpful, but at the end of the day,
what you care most about is if the user experience is affected. There’s supposed
to be a video here, but for some reason there isn’t.
Grafana Agent v0.35 release: horizontal auto scaling, easy Flow mode migration,
and more
Juli 18
Grafana Agent v0.35 is here! The latest release of the Grafana Agent brings with
it loads of new features and enhancements. Today, we’ll highlight our work on
horizontal scalability and making it simpler than ever to get started using the
Agent. Let’s take a look! Easily migrate to Grafana Agent Flow mode We want to
make it as simple as possible to get started using Grafana Agent in Flow mode, a
component-based version of Grafana Agent that’s flexible and easy to use.
Improving query performance in Grafana Mimir: Why we dropped mmap from the
store-gateway
Juli 17
In recent months, we have been working on improving the performance of Grafana
Mimir, the open source, horizontally scalable, highly available, multi-tenant
TSDB for long-term storage of your metrics. In a previous blog post, Mimir
engineers Dimitar Dimitrov and Marco Pracucci introduced the store-gateway — a
dedicated service in Mimir that is responsible for fetching metrics data from
the object storage in an optimized manner — and they walked through the updates
we’ve done to minimize out-of-memory errors when it processes queries.
Celebrating Grafana 10: Top 10 Grafana features you need to know about
Juli 14
Since Grafana started 10 years ago, there have been more than 43,000 commits to
the open source project. Grafana founder Torkel Ödegaard has made more than
7,600 of those commits, and he recently reflected on some personal favorites
he’s worked on, ranging from early query builders to the latest navigation
updates. Torkel isn’t the only one who has strong feelings. Turns out it’s hard
for the Grafana team not to play favorites: We asked engineers, product
managers, UX designers, and more to name a functionality they love in Grafana.
How to monitor Kubernetes network and security events with Hubble and Grafana
Juli 13
Anna Kapuścińska is a Software Engineer at Isovalent, who has a rich experience
wearing both developer and SRE hats across the industry. Now she works on
Isovalent observability products such as Hubble, Tetragon, and Timescape, as
well as the respective Grafana integrations for all of them. At Isovalent, we
are leveraging eBPF technology to build the next generation of networking,
security, and observability tools for Kubernetes. Last year, we announced a
strategic partnership with Grafana Labs, with a goal to provide infrastructure
and developer teams deep insights into the connectivity, security, and
performance of their applications.
Monitor the past, present, and future of your Kubernetes resource utilization
Juli 12
Greetings, Kubernetes Time Lords! Through a series of recent updates to our
multi-purpose Kubernetes Monitoring solution in Grafana Cloud, we’ve made it
easier than ever to assess your resource utilization, whether you’re looking at
yesterday, today, or tomorrow. All companies that use Kubernetes, regardless of
size, should monitor their available resource utilization. If a fleet is
under-provisioned, the performance and availability of applications and services
are at serious risk. On the flip side, fleets with over-provisioned resources
run the systemic risk of wasting money and resources that could be better
applied elsewhere.
Trusted Types: How we mitigate XSS threats in Grafana 10
Juli 11
Grafana is a rich platform for data visualization, giving you full control over
how your data should be visualized. However, this flexibility and freedom comes
with some challenges from a security perspective — challenges that need to be
solved to protect the data in Grafana. For years, cross-site scripting (XSS) has
been among the most common web application security vulnerabilities. One of the
main reasons for this is simple — XSS is a hard problem to solve, especially
when the application expects user-supplied data, and even HTML sometimes.
How we improved Grafana's alert state history to provide better insights into
your alerting data
Juli 10
The Prometheus alerting model is a flexible tool in every observability toolkit.
When enhanced with Grafana data sources, you can easily alert on any data,
anywhere it might live, using the battle-tested label semantics and alerting
state machine that Prometheus defines. Often, engineers want to see patterns in
their alerts over time, in order to observe trends, make predictions, and even
debug alerts that might be firing too often. Gaining insights into the behavior
of your alert rules is crucial for maintaining system health, reducing false
positives, and bolstering confidence in your observability systems.
How to visualize time series from SQL databases with Grafana
Juli 07
Relational databases like MySQL, PostgreSQL, Oracle, and others have a wealth of
time series data locked inside of them. Often this data can be used to enhance
observability dashboards, or keep track of important application factors, like
how many users have signed up for a service. In this article, we’re going to
show you how to visualize any time series from any SQL database in Grafana using
the time series visualization.



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