Operations | Monitoring | ITSM | DevOps | Cloud

The new panel time settings drawer gives you greater control over time ranges and shifts at the panel level without editing the dashboard. The time comparison feature, in particular, was a request from the community, and allows you to easily perform time-based (for example, month-over-month) comparative analyses in a single view. This eliminates the need to duplicate panels or dashboards to perform trend tracking and performance benchmarking.

With our Honeycomb Enterprise data source for Grafana, you can query and visualize Honeycomb metrics and link to Honeycomb traces from within Grafana. With our newly added support for raw queries, you can now take advantage of.

Matt from Grafana’s Enterprise Data Sources team demos the SolarWinds plugin: URL/credentials setup, TLS options, health check, and built-in dashboards. See how to query SolarWinds data with SWQL in Grafana and where to learn more (docs + SolarWinds SWQL resources). As of Nov 19, 2025, this is available in public preview in Grafana Cloud (including the free tier) and Grafana Enterprise.

In this episode of Pastries and SREs, our hosts tackle one of the hardest questions observability leaders face: "How do you prove the ROI of observability?" This isn’t just about uptime or dashboards. It’s also about aligning observability with business outcomes, cloud cost savings, and FinOps metrics that matter to leadership.

Connecting your cloud infrastructure has never been easier. In this quick walkthrough, you’ll see how SolarWinds Observability natively integrates with AWS and Azure to onboard virtual machines and supported managed services—fast. Select your hyperscaler Click “Add Data” → Choose “Hosts” Follow simple steps to connect your cloud environment via API Whether you're running AWS EC2, Azure VMs, or other managed services, SolarWinds helps you get visibility in minutes.

FIPS can be enabled on Ubuntu with just one command using an Ubuntu Pro subscription.

Customers asked for a simpler way to store and access telemetry data, and Cribl delivered. First came Cribl Lake. Cost effective data storage, flexible access, and identity based authorization instead of infrastructure based access rules. A simple way to retain data at rest and run slow, inexpensive analytics when needed. But the story did not end there.

Disconnected pipelines. Unknown data sources. Costs that do not add up. Many teams struggle to answer a simple question. What data do we have and where is it going? In this clip, a Cribl customer explains how bringing all telemetry data together changed everything. With Cribl, their team can finally see what they collect, where it flows, and what it costs. That clarity unlocked smarter reduction, better routing decisions, and major optimization across security and observability workflows.

Metrics has entered open beta in Sentry! Want to know how often people are using that random control? More data about what the queue depth is or token usage for your last agent call? Metrics is pretty great. In this video, Cody takes us on a tour of getting started using them!

Using AI coding tools like Cursor is fast, but it leaves a massive question: Is the new code going to break production? We solve this by combining Cursor with Proxymock! I take a live traffic snapshot of my running app, feed it back to the AI, and instantly run realistic integration tests locally. It's the only way to get true confidence before you push. Watch the full video below!