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Feb. 06


COMBINING TRACING AND PROFILING FOR ENHANCED OBSERVABILITY: INTRODUCING SPAN
PROFILES

In today’s complex data landscape, continuous profiling has become essential for
detailed insights into application resource usage. Grafana Labs is now advancing
this field with the introduction of Span Profiles in Grafana 10.3. The Span
Profiles feature represents a major shift in profiling methodology, enabling
deeper analysis of both tracing and profiling data. Traditional continuous
profiling provides a system-wide view over fixed intervals. In contrast, Span
Profiles delivers focused, dynamic analysis on specific execution scopes within
applications, such as individual requests or specific trace spans.
Feb. 06


'THE STORY OF GRAFANA' DOCUMENTARY: FROM DASHBOARDS TO FULL-STACK OBSERVABILITY
AND BEYOND

Beehives in backyards. Rocket launches in California. Sourdough starters in
mason jars. Shipping containers growing strawberries in Paris. “The stories you
can tell from just a graph were really surprising,” says Grafana creator Torkel
Ödegaard. But not impossible with Grafana, the ubiquitous open source
visualization tool that is not just for monitoring applications. “There is
nothing in Grafana that is specific to IT or observability,” Grafana Labs CEO
and co-founder Raj Dutt says.
Feb. 05


INFINITY PLUGIN FOR GRAFANA: GRAFANA LABS WILL NOW MAINTAIN THE VERSATILE DATA
SOURCE PLUGIN

Grafana was initially renowned for its ability to help users visualize time
series data for platforms like Graphite and Elasticsearch. However, as the
landscape evolved, demand surged for Grafana to embrace a wider array of data
formats, particularly from third-party APIs. The challenge lay in handling
vastly diverse data structures — from simple CSV arrays to intricately nested
data retrieved via GraphQL. While solutions like the Simple JSON data source
plugin emerged, they relied on middleware for data transformation, posing
barriers to entry for users seeking a direct connection from Grafana to their
endpoints.
Feb. 02


GRAFANA LABS AT FOSDEM 2024: EBPF AUTO-INSTRUMENTATION, CI/CD OBSERVABILITY, AND
MORE

We’re back for another year of fun at FOSDEM! More than 50 Grafanistas are
traveling to Brussels to attend, speak, volunteer, and connect with the greater
open source community at the annual conference. If you have never heard of
FOSDEM, I’m happy to tell you that it’s the most significant open source
conference for the community — free for attendees and run by volunteers. This
year, there are more than 867 planned sessions that will take place from
February 3 to 4 at the Université Libre de Bruxelles.
Feb. 01


VISUALIZE SUMO LOGIC METRICS AND LOGS WITH GRAFANA: INTRODUCING THE SUMO LOGIC
ENTERPRISE PLUGIN

We are thrilled to announce the addition of a powerful new Enterprise plugin in
the Grafana ecosystem: the Sumo Logic Enterprise data source plugin for Grafana.
You can now easily connect Sumo Logic to your Grafana instance and correlate
your log data with telemetry from all your data sources in one unified Grafana
dashboard. Sumo Logic is the latest addition to our catalog of more than 20
Enterprise plugins, which includes ServiceNow, Splunk, Snowflake, Datadog,
MongoDB, Oracle, New Relic, Dynatrace, Wavefront, and AppDynamics.
Jan. 31


OPENTELEMETRY AND GRAFANA LABS: WHAT’S NEW AND WHAT’S NEXT

A new year is a natural time to reflect on past achievements — and consider
future aspirations. When I think about the observability space, specifically, in
2023, OpenTelemetry felt omnipresent. It was a hot topic at every industry
event, with at least one dedicated talk at ObservabilityCON, Monitorama,
PromCon, and KubeCon + CloudNativeCon, both NA and EU. A notable highlight from
KubeCon was OpenTelemetry going GA, marking a significant milestone in the
project’s development.
Jan. 30


WHY COMPANIES MIGRATE FROM OSS TO GRAFANA CLOUD FOR METRICS MANAGEMENT

In 2022, we introduced Grafana Mimir, the most scalable and performant open
source time series database in the world. And since its launch, we’ve been busy,
increasing Mimir’s scale, making it easier to get started, and boosting query
performance. But even with these advancements, we understand the challenges that
can come with a self-hosted and self-managed OSS tool. “While we love open
source, along the way we lost sight of what we set out to do in the first place
— to make observability effective, self-service, and low cost,” wrote Oren Lion,
Director of Software Engineering, Productivity Engineering at TeleTracking, in a
recent blog post he co-authored with Tim Schruben, TeleTracking’s Vice
President, Logistics Engineering.
Jan. 30


API LOAD TESTING: A BEGINNER'S GUIDE

An API load test generally starts with small loads on isolated components. As
your testing matures, your strategy can expand to how to test the API more
completely. You’ll test your API with more requests, longer durations, and on a
wider test scope — from isolated components to complete end-to-end workflows.
When you design your API tests, first consider why you want to test the API at
all: What flows or components do you want to test?
Jan. 30


AVERAGE-LOAD TESTING: A BEGINNER'S GUIDE

An average-load test is a type of load testing that assesses how the system
performs under typical load. Typical load might be a regular day in production
or an average moment. Average-load tests simulate the number of concurrent users
and requests per second that reflect average behaviors in the production
environment. This type of test typically increases the throughput or VUs
gradually and keeps that average load for some time. Depending on the system’s
characteristics, the test may stop suddenly or have a short ramp-down period.
Jan. 30


BREAKPOINT TESTING: A BEGINNER'S GUIDE

Breakpoint testing is a type of load testing that aims to find system limits.
Reasons you might want to know the limits include: To tune or care for the
system’s weak spots to relocate those higher limits at higher levels. To help
plan remediation steps in those cases and prepare for when the system nears
those limits. In other words, knowing where and how a system starts to fail
helps prepare for such limits.