Control Observability Costs With Filtering
Not all telemetry is created equal. Curate the data you save in Honeycomb using Honeycomb Telemetry Pipeline Manager. Then restore them later if you change your mind!
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The latest News and Information on Observabilty for complex systems and related technologies.
State of the Observability Databases with Dee Kitchen (Grafana Office Hours #30)
In this Grafana Office Hours, we talk about the state of observability databases (Grafana Loki, Mimir, Tempo, and Pyroscope) and where they're going. We talk about current and upcoming architectural changes in all four, how we're making them more performant, how compatible they are with OpenTelemetry, and what we're working on next for each database. In this conversation are Dee Kitchen (VP of Engineering for Databases) and Senior Developer Advocates Jay Clifford and Nicole van der Hoeven.
CI/CD Observability Powered by OpenTelemetry and SigNoz
Most teams have strong monitoring for production, but what about the journey before your code gets deployed? The CI/CD pipeline is where bottlenecks, flaky tests, and process gaps silently waste your team’s time. Until now, this part of the workflow has mostly been a black box. We’re excited to announce CI/CD Observability in SigNoz - a new way to track, analyze, and improve your software delivery process, powered by OpenTelemetry.
Control Observability Costs With Sampling
How can we send less data without losing information? Sampling removes duplication among distributed traces, while keeping all the interesting ones. See how this works with Honeycomb and Refinery.
Contextual Observability: Using Tagging and Metadata To Unlock Actionable Insights
Observability isn’t about collecting more telemetry — it’s about making that telemetry data meaningful. Contextual observability transforms raw telemetry into actionable insights by enriching it with consistent tagging and metadata. Without context, telemetry data remains fragmented, troubleshooting slows, and aligning with business priorities is nearly impossible.
Unifying OpenTelemetry & Datadog | #Observability #OpenTelemetry #datadog
Previously, teams had to choose between adopting the OpenTelemetry Collector’s capabilities and fully leveraging our advanced features. On This Month in Datadog, we’re spotlighting our OTel Collector distribution, which unifies OTel and Datadog. Check out the link in our bio to watch the new episode.
Deep Temporal Observability - Correlate Metrics with Logs & Traces
Temporal lets you orchestrate complex, reliable workflows, but when something breaks or slows down, the built-in dashboards only give you a list of events and some basic filters. You can see what happened and filter by attributes like workflow type or namespace, but you can't drill deeper. There's no way to jump straight from a metric spike to the exact trace or log line you care about.
Building a Culture of Observability Through Ownership
There’s a problem in engineering culture that we don’t talk about enough: observability is an afterthought. It’s treated as tooling, not thinking. As a checkbox, not a habit. And that mindset gap creates real consequences: longer outages, frustrated teams and massive business costs. Atlassian’s Incident Management for High-Velocity Teams overview cites a 2014 study by Gartner, that the average cost of IT downtime is $5,600 per minute.
Gotta Go Slow
The last few months have been wild. Some of the busiest of my life, actually: For context: I’m Canadian, and all of this happened during the continued threats of annexation. All this to say, it’s been rough. I anticipated this would be a challenging time and that I would be exhausted. So, the plan became: do all the demanding things, take my sabbatical in May, and use April as an ‘in-between’ period with a bit less pressure.
Splunk Observability Cloud's AI Assistant in Action | Practical Examples | Part 2
In this video, we'll explore practical ways to utilize the AI Assistant in Splunk Observability Cloud. Through real-world scenarios, learn how the AI Assistant can help you interpret metrics, contextualize data, onboard new team members to your organization, and automate tasks via the Splunk Observability Cloud API. AI Assistant in Splunk Observability Cloud enhances observability by providing actionable insights and streamlining workflows.