Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

Observability for Healthcare Systems | Grafana Everywhere

Grafana Assistant is going places you might not expect — including healthcare. Golden Grot winner Oren Lion from TeleTracking reveals how Grafana Cloud supports their systems that help keep patient care moving — and how Assistant enables teams to get from “what happened?” to “here’s why” faster. From moon landings to patient care, Grafana is everywhere. Congratulations to Oren, Chris Johnson, Mark Munson, and the entire TeleTracking team on winning this year's Golden Grot Award for Pioneering AI in Observability!

How to debug REST Collector APIs with Cribl REST Collector Diagnostics

This video introduces the new REST Collector Diagnostics feature in Cribl, which helps you troubleshoot API collection issues faster. It’s designed for observability and data engineers who use REST Collector to pull data from external APIs and need deeper visibility into HTTP requests, responses, and errors.

Cribl Search Pack for Zscaler: Setup & security dashboard walkthrough

Learn how to install and configure the Cribl Search Pack for Zscaler, then walk through prebuilt dashboards for your Zscaler security logs. This video is for security engineers, Zscaler administrators, and SOC/observability teams using Cribl Search to monitor and investigate Zscaler activity. In this walkthrough, you’ll see: If you need a reminder or want to share feedback on the pack, you can always refer to the README bundled with the pack or reach out to the Cribl team.

How Support Uses Honeycomb to Debug Honeycomb

You'd think that working at an observability company means everyone knows exactly where to find everything in the data. It doesn't. Especially not on the support team. We're the ones who get the tickets. We're in the telemetry every day trying to figure out what went wrong for a customer, and we do that by pointing Honeycomb at itself. Here's how that actually works, and how it's changed.

Splunk Observability at Cisco Live: Agentic Observability for the AI Era

Observability has always been about seeing clearly under pressure. But the pressure has changed. Applications are more distributed. Kubernetes environments keep expanding. Digital experiences depend on services, APIs, networks, third-party providers, and now AI models and agents that can make decisions faster than a human team can review every signal.

The Observability Journey: Getty Images and Cribl

I recently sat down with Simon Overbey and Lovepreet Singh - the Engineering Manager and systems engineer (respectively) at Getty Images to talk about their experiences implementing Cribl. After getting a rundown of the pre-Cribl environment (described above) I asked to jump straight to the end, the net benefits. If the "before" was a terrifying tidal wave of cost and complexity, what did the "after" look like?

How to Build Real-Time Supply Chain Observability

"One missing pallet." That's how a warehouse supervisor in New Jersey described the start of a week-long supply chain mess back in 2024. One pallet. Then came delayed trucks, angry retailers, overtime pay, and a customer threatening to walk. In logistics, small gaps don't stay small for long. And the uncomfortable part is that most teams are already working hard. The issue isn't effort. It's alignment. The data exists in most organizations-it just doesn't show the same reality at the same time. Which leaves a basic question surprisingly hard to answer: what's actually happening right now?

Your telemetry, your apps. Inside apps on the Cribl Platform

You already use Cribl to tame your telemetry data. Now you can turn that data into apps your teams actually want to use. In this video, we walk through how to create apps in the Cribl Platform and show how real apps solve real problems: guided troubleshooting for noisy incidents, opinionated security views, and exec-friendly ROI dashboards. You’ll see how apps sit on top of Cribl Stream, Edge, Search, and Lake, so you reuse the data and logic you already have instead of building custom tools from scratch.

Unified observability for Alibaba Cloud with Datadog

Alibaba Cloud is a major cloud provider in APAC, offering industry-leading foundational AI models in addition to compute, managed databases, object storage, and Kubernetes through its Container Service for Kubernetes (ACK). Teams choose Alibaba Cloud for its infrastructure availability across Asia Pacific and its managed services. For SREs and platform engineers, that often means running Alibaba Cloud alongside AWS, Google Cloud, or Microsoft Azure.

The Kubeshark Workflow That Doesn't Stop at the Dashboard

The Observability Gap shows up the moment you try to reproduce a production bug locally. Your traces tell you a request was slow. Your logs tell you which line printed. Neither tells you what was actually on the wire: the headers, the JSON body, the surprise field your client started sending last Tuesday. Until now, closing that gap meant SSHing to a node, attaching a debugger, or shipping a sidecar through change review.