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LATEST FROM THE BLOG


Aug. 22


GRAFANA TEMPO 1.5 RELEASE: NEW METRICS FEATURES WITH OPENTELEMETRY, PARQUET
SUPPORT, AND THE PATH TO 2.0

Grafana Tempo 1.5 has been released with a number of new features. In
particular, we are excited that this is the first release with experimental
support for the new Parquet-based columnar store. Read on to get a high-level
overview of all the new changes in Grafana Tempo! If you’re a glutton for
punishment, you can also dig into the hairy details of the changelog. New
features in Grafana Tempo 1.5 Parquet support (experimental) The headline
feature of Grafana Tempo 1.
Aug. 19


HOW DENMARK'S ENERGINET USES GRAFANA ENTERPRISE TO MONITOR UNDERWATER ENERGY
CABLES — AND DO DETECTIVE WORK

If an energy cable running through the waters surrounding Denmark gets damaged
by a passing vessel, does it make a sound? Yes . . . and it’s the ping of a
Grafana alert at the offices of Energinet, an independent public enterprise
owned by the Danish Ministry of Climate, Energy, and Utilities. The company
maintains high-voltage substations and cables that run through the North Sea,
the Baltic Sea, and The Skagerrak, a strait between Denmark, Sweden, and Norway.
Aug. 18


NEW IN GRAFANA 9.1: TRACE TO METRICS ALLOWS USERS TO NAVIGATE FROM A TRACE SPAN
TO A SELECTED DATA SOURCE

Traces, logs, and metrics provide inherently different views into a system,
which is why correlating between them is important. With features like exemplar
support, trace to logs, and span references, you can quickly jump between most
telemetry signals in Grafana. With the release of Grafana 9.1, we’re improving
Grafana’s ability to correlate different signals by adding the functionality to
link between traces and metrics. The trace to metrics feature, which is
currently in beta, lets you quickly see trends or aggregated data related to
each span.
Aug. 17


NEW IN GRAFANA 9.1: SHARE YOUR GRAFANA DASHBOARD WITH ANYONE VIA PUBLIC
DASHBOARDS

We’re excited to announce the launch of a new feature we’ve been working on in
Grafana 9.1: public dashboards 🎉. The public dashboards feature will allow you
to share your Grafana dashboard with anyone, even if they’re not part of your
Grafana organization. Historically, the only way that someone could share a
dashboard externally was taking a one-time snapshot 📸, or disabling all
authorization for their Grafana instance 😬. Both of these options work, but it
left a major gap in our sharing and collaboration capabilities.
Aug. 16


GRAFANA 9.1 RELEASE: NEW GRAFANA PANELS, RBAC FOR PLUGINS, PUBLIC DASHBOARDS,
AND MORE!

Grafana 9.1 is here! Get Grafana 9.1 We’ve made a number of improvements to
Grafana’s usability, data visualization, and security. For a full list of new
features and capabilities, check out our What’s New in Grafana 9.1
documentation. You can get started with Grafana in minutes with Grafana Cloud.
We have a generous free forever tier as well as plans to suit every use case —
sign up for free now.
Aug. 15


HOW VETERANS UNITED HOME LOANS USES GRAFANA CLOUD TO HELP MILITARY FAMILIES
BECOME HOMEOWNERS

Veterans United Home Loans is the top VA lender for home buyers in the United
States and has been making the dream of homeownership a reality for veterans and
military families for more than two decades. A big part of making that dream
come true is keeping their services – including both internal applications and a
robust digital experience for their borrowers – highly performant. In their
recent GrafanaCONline 2022 talk titled “How Grafana Cloud offers Veterans United
Home Loans engineers observability they don’t have to think about” (which is now
available on demand), Platform Technical Architect Sheldon Jackson shared how
his team utilizes Grafana Cloud to deliver a scalable observability solution
that helps his team reduce MTTR and focus on the needs of the business by
automating as much as possible.
Aug. 12


USING GRAFANA AND MACHINE LEARNING TO ANALYZE MICROSCOPY IMAGES: INSIDE THEIA
SCIENTIFIC'S WORK

At GrafanaCONline 2022, Theia Scientific President, Managing Member, and Lead
Developer Chris Field and Volkov Labs founder and CEO Mikhail Volkov — a Grafana
expert — delivered a presentation about using Grafana and machine learning for
real-time microscopy image analysis. Real-time microscopy image analysis
involves capturing images on a microscope using a digital device such as a PC,
iPad, or camera. Researchers then use the images to count or measure the size of
certain features contained in it.
Aug. 11


GRAFANA USAGE INSIGHTS: HOW TO TRACK WHO IS SENDING WHAT METRICS TO YOUR STACK
IN GRAFANA CLOUD

We are happy to announce the release of the Grafana usage groups feature in
Grafana Cloud. This new feature — which is available in the Grafana Cloud
Advanced plan — helps centralized observability teams and administrators track
and attribute metrics usage back to groups that exist within a single shared
Grafana stack. Ultimately, Grafana usage groups can help with governance and
cost control. In this post, we’ll show you how you can attribute metrics to
different teams in Grafana Cloud.
Aug. 10


THE UPDATED DOCKER INTEGRATION IN GRAFANA CLOUD NOW SUPPORTS LOGS AND METRICS

More than 17 million developers use Docker to build, ship, and run applications
separate from their infrastructure in order to deliver software faster and more
efficiently. With the rising popularity of containerized applications, however,
it has become increasingly more complex and difficult to observe and monitor
applications running across multiple containers. That’s why we are excited to
introduce our new and improved Docker integration, which is available now to all
Grafana Cloud users, including those in our generous free forever tier.
Aug. 09


VIDEO: HOW TO GET STARTED WITH MONGODB AND GRAFANA

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 user logins. The MongoDB Enterprise plugin for Grafana — which is available
for users with a Grafana Cloud account or with a Grafana Enterprise license —
unlocks all of the data stored in MongoDB as well as diagnostic metrics for
monitoring MongoDB itself for visualization, exploration, and alerting.