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Latest from the blog

Simplify managing Grafana Tempo instances in Kubernetes with the Tempo Operator
heinä 28
Andreas Gerstmayr is a Software Engineer at Red Hat. He’s working on simplifying
the deployment and operations of a modern distributed tracing stack using Tempo
and OpenTelemetry on OpenShift. I’ve been working with Grafana Tempo for about
half a year now, and one thing I like about it is that Tempo requires only
object storage for storing traces, which is easy to set up in both cloud
environments and on-premises. Another outstanding feature is TraceQL, which
allows searching for relevant traces with a powerful query language.
New in Grafana 10: A UI to easily configure SAML authentication
heinä 27
In addition to the built-in user authentication that utilizes usernames and
passwords, Grafana also provides support for various mechanisms to authenticate
users, so you can securely integrate your instance with external identity
providers. We are excited to announce that with the release of Grafana 10.0, we
have introduced a new user interface that simplifies the configuration of SAML
authentication for your Grafana instances. This new UI is available for Grafana
Enterprise, as well as for Grafana Cloud’s Free, Pro, and Advanced offerings.
5 steps to start saving on your observability bill with Grafana Cloud Adaptive
Metrics
heinä 26
In the observability space, it seems like everyone is talking about how to
reduce costs and control the explosion of Prometheus metrics. It’s no wonder —
our recent analysis of user environments suggests 20% to 50% of metrics
generated are never used, but users are still stuck paying for them. Our
solution to the problem is Adaptive Metrics — a metrics management and
cardinality optimization feature in Grafana Cloud that eliminates unused and
partially used metrics through aggregation.
Lessons learned from integrating OpenAI into a Grafana data source
heinä 25
Interest in generative AI and large language models (LLMs) has exploded in
popularity thanks to a slew of announcements and product releases, such as
Stable Diffusion, Midjourney, OpenAI’s DALL-E, and ChatGPT. The arrival of
ChatGPT in particular was a bellwether moment, especially for developers. For
the first time, an LLM was readily available and good enough that even
non-technical people could use it to generate prose, re-write emails, and
generate code in seconds.
How to monitor your Apache Mesos clusters with Grafana Cloud
heinä 24
We’re excited to introduce a dedicated Apache Mesos integration, our solution to
easily monitor the open-source project for managing clusters in your data center
and at cloud scale in Grafana Cloud. Apache Mesos is a distributed systems
kernel, running on every machine in a cluster and providing easy orchestration
of every resource in the cluster. This allows you to treat compute units,
memory, and disk as a single pool of resources.
How Worldline uses Grafana Enterprise and Grafana Mimir to run its
platform-as-a-service at a global scale
heinä 21
According to the World Bank, two-thirds of adults around the globe currently
make or receive digital payments. Businesses have come to expect quick, reliable
processing, and one company at the forefront of that is Worldline. The global
payment service provider (PSP) is a leading payment processor and payment
provider in Europe, with about 3.4 billion e-commerce transactions made in 2022.
Worldline, which deals with mostly business-to-business customers, processes
online payments, payments in stores, and also works directly with banks.
A practical guide to data collection with OpenTelemetry and Prometheus
heinä 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
heinä 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
heinä 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
heinä 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.