Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to implement end-to-end monitoring and observability for Anthropic (Claude) API-based applications using OpenTelemetry and SigNoz. In this video, we walk through instrumenting your Anthropic API calls, collecting traces, metrics, and logs, and visualizing everything in SigNoz to gain real-time visibility into performance, failures, and bottlenecks. You'll see how to move from basic logging to production-grade observability, so you can debug faster, optimize latency, and confidently run Claude-powered AI systems at scale.

Your engineers don't suddenly become less valuable because they hit a token cap.

Government payment fraud is a fast-growing risk for public sector organisations in Australia and globally. From welfare and healthcare payments to business grants and disaster relief, increasingly sophisticated organised criminal networks and other actors exploit complex, high-volume government programs to unlawfully access public funds. The impact is significant—billions lost, program integrity undermined, and essential resources diverted.

Next.js applications can be challenging to debug in production. It’s not always clear where an issue originated or how it impacts users. Hydration errors, server component failures, and performance bottlenecks don’t always come with clear answers.

Spin up a GPU workload cluster using Konstruct's new GPU cluster templates, deploy a self-hosted LLM, and use it in your organization — all live on stream. This hands-on session shows how shipping AI workloads to GPU clusters is just as easy as deploying to Konstruct physical or virtual clusters, and how open source apps in the GitOps Catalog make it even faster. Walk away knowing how to cut your token spend by running models privately on your own infrastructure.