Archaeologist·Blog Dispatch — Grafana Labs blog on Grafana Labs
Vol. I · Field Notes

GrafanaGrafana Labs blog on Grafana Labs

This is the official engineering blog of Grafana Labs, the company behind the popular open-source Grafana observability platform. It covers how to use Grafana Cloud for monitoring, logging, and AI-powered incident response. Anyone using or evaluating Grafana for their observability stack should read it.

9 May 2026·10 posts·6 clusters·9 authors
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Reading Posture
From the Field
“Grafana's official blog on observability, AI, and cost optimization.”
Verdict:Reach for it
Reach for it when

Read this when you want to stay current on Grafana product updates, AI-assisted observability, and practical cost-saving techniques for monitoring.

Look elsewhere when

Skip it if you need vendor-neutral deep dives or coverage of non-Grafana tools.

In context

Compared to The New Stack, this one is more product-focused and narrower in scope but richer in hands-on Grafana-specific guidance.

Complexity●●●Medium
Read time~120 minutes
Language
Blog
Runtime
web
Dependencies
0total

What this is

As told for the tourist

This is the official engineering blog of Grafana Labs, the company behind the popular open-source Grafana observability platform. It covers how to use Grafana Cloud for monitoring, logging, and AI-powered incident response. Anyone using or evaluating Grafana for their observability stack should read it.

Start Here

A recommended reading path through the code

Start Here

A recommended reading path through the code

  1. 01

    Start here because it addresses a universal pain point with practical Grafana-specific techniques.

  2. 02

    Core to understanding their AI strategy and how it integrates with observability workflows.

  3. 03

    Shows how they apply observability to emerging agentic workloads.

  4. 04

    Demonstrates their approach to multi-cloud database monitoring.

  5. 05

    Highlights developer experience improvements and command-line integration.

  6. 06

    Deep dive into profiling for identifying bottlenecks in production.

  7. 07

    Covers security practices at scale, a less common but important topic.

What's inside

6 sections of the codebase

The Archive

Every post, searchable and filtered

All Posts10 of 10
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Eliminate noisy log lines with Adaptive Logs drop rules

6m

This post discusses using Adaptive Logs drop rules to filter out noisy log lines and reduce observability costs.

Performance & Cost Optimization#observability#performanceSteven Dungan
↗—

Troubleshoot performance issues faster with the new Grafana Assistant integration for Database Observability

7m

The post introduces a Grafana Assistant integration for Database Observability to help troubleshoot performance issues faster.

Cloud & Database Observability#database#observabilityJeremy Heller
↗—

Faster fixes, less context sharing: how Grafana Assistant learns your infrastructure before you even ask

6m

This post explains how Grafana Assistant learns your infrastructure context to provide faster fixes and reduce context sharing during incidents.

AI Assistant Evolution#incident-report#infraWilliam Dumont
↗—

Get observability in the terminal, for you and your agents, with the gcx CLI tool

5m

The post introduces the gcx CLI tool for terminal-based observability, designed for engineers and AI agents working via command line.

Developer Tooling & CLI#developer-tools#dxWard Bekker
↗—

Secure performance testing at scale: Introducing secrets management for Grafana Cloud k6

6m

This post covers secrets management for Grafana Cloud k6 to enable secure performance testing at scale.

Security & Secrets Management#security#performanceFacundo Batista
↗—

Customize preconfigured views for AWS, Azure, and Google Cloud with Cloud Provider Observability in Grafana Cloud

5m

The post describes how to customize preconfigured views for AWS, Azure, and Google Cloud using Cloud Provider Observability in Grafana Cloud.

Cloud & Database Observability#observability#infraAna Ivanov
↗—

Introducing Pyroscope 2.0: faster, more cost-effective continuous profiling at scale

7m

This post announces Pyroscope 2.0, offering faster and more cost-effective continuous profiling at scale.

Performance & Cost Optimization#performance#open-sourceChristian Simon
↗—

Introducing o11y-bench: an open benchmark for AI agents running observability workflows

6m

The post introduces o11y-bench, an open benchmark for evaluating AI agents performing observability workflows.

Agentic AI Observability#open-source#observabilityYasir Ekinci
↗—

AI Observability in Grafana Cloud: A complete solution for monitoring your agentic workloads

8m

This post presents a complete solution for monitoring AI agentic workloads using Grafana Cloud's AI Observability features.

Agentic AI Observability#observability#ml-infraMaurice Rochau
↗—

Grafana Assistant everywhere: Customize and connect to the AI agent to fit your specific needs

6m

The post explains how to customize and connect Grafana Assistant to fit specific team needs for building and observing systems.

AI Assistant Evolution#developer-tools#dxMaurice Rochau
↗

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