Operations | Monitoring | ITSM | DevOps | Cloud

Early Warning Signals now in Discord

We’re rolling out Early Warning Signals to yet another place your team works every day: Discord. With this release, nearly all of our chat integrations now deliver Early Warning Signals—bringing you proactive outage alerts no matter where your team collaborates. Already available by email, SMS, Slack, Microsoft Teams, Google Chat, and webhooks, Early Warning Signals are now live in Discord too—closing the gap and making sure your team is covered wherever you communicate.

Powering AI Innovation with Splunk: Meet the Cisco Data Fabric

If you are leading technology innovation in your organization, you know the relentless surge of machine data is rewriting the rules of the digital enterprise. The upside? Incredible opportunities for AI-driven transformation. The challenge? Unprecedented complexity. Today’s leaders are under enormous pressure to unify, analyze, and act on a deluge of data streams across multiple environments.

Observability Journey Panel - Dell x TekStream

Join Dell Technologies, TekStream Solutions, and Grafana Labs for a candid panel on scalining observability. Learn how enterprise teams scale observability, balance centralized vs. decentralized models, and accelerate adoption. The panel explores challenges with culture, governance, tool sprawl, and how AI is reshaping monitoring and incident response.

Monitoring Claude Code Usage with OpenTelemetry and SigNoz

In this video, we’ll walk you through how to monitor Claude code activity using OpenTelemetry and SigNoz. You’ll learn how to instrument your usage, capture telemetry data, and visualize it with SigNoz to get better insights into your system performance. Whether you’re exploring observability for AI workloads or looking for an open-source solution to monitor your llm activity, this guide will help you get started.

Interactive Dashboards | SigNoz Launch Week 5.0 | Day 1

Interactive Dashboards eliminate the current workflow of opening new tabs and manually recreating queries every time you need to investigate a spike or anomaly. Click directly on any data point to drill down and explore. ​What you can do: ​Built for developers who need to debug production issues efficiently, not juggle with multiple tabs.

Managing access in Grafana: a single stack journey with teams, roles, and real-world patterns

When multiple teams use Grafana, it can start to feel a bit messy. Dashboards pile up, permissions become unclear, and teams accidentally overwrite each other’s work. To help you and your organization stay clear, collaborative, and secure, we recommend putting all users in a single Grafana Cloud stack and managing access with teams, roles, and folders. To illustrate this, I’ll share a hypothetical example of how you can put this into practice across three teams. Let’s dive in!

A practical guide to error handling in Go

When you first start coding in Go, you quickly learn how error handling in the language differs from error handling in languages such as Java, Python, JavaScript, or Ruby. In those languages, throwing an exception automatically generates a stack trace. Go, by contrast, provides no built-in error tracing to reveal an error’s origin.