Operations | Monitoring | ITSM | DevOps | Cloud

LangChain applications fail differently than traditional web apps. A single user request can trigger 15+ LLM calls, cost $5 in tokens, and fail silently without throwing errors. One team discovered a $12,000 OpenAI bill caused by a recursive chain with no monitoring. This guide shows how to implement observability for LangChain applications, giving you complete visibility into performance, costs, and errors before they impact your users or budget.

Every day, BigPanda redefines how enterprise operations teams prevent disruptions and streamline incident management. Our agentic IT operations platform helps enterprises detect, respond to, and resolve incidents faster and ensure that IT remains scalable, effective, and sustainable. I’m proud to announce that in 2025, BigPanda received recognition across ten Gartner Hype Cycles, which we believe is a testament to our relentless innovation and customer focus.

We introduced our vision for BigPanda AI Detection and Response (ADR) at our annual customer event earlier this year, and shared how we’re going to automate L1 operations and eliminate the need for manual investigations. We’re pleased to announce the continued evolution of ADR with a brand-new set of capabilities.

Choosing the right incident management software can make or break your organization’s operational resilience. Modern IT environments are growing complex, and so are customer expectations for always-on services. Having robust incident management capabilities isn’t just nice to have, it’s essential for business continuity.

You’ve built something, it’s live, and users are starting to show up. Maybe you programmed it from scratch, used a tool, or vibe-coded it into existence. No matter how it came to be, the fact that you’ve got users is great! But here’s a question every new developer must eventually ask: how do I know when my site is actually failing? ‍ The thing is, these failures aren’t always obvious.

The enterprise is standing at the edge of a seismic shift: an AI revolution. In the next five years, the way work gets done will be fundamentally reshaped as workflows once handled by humans are increasingly replaced or enhanced by artificial intelligence. But here’s the reality: success won’t come from simply handing out Copilot or GPT licenses and hoping employees figure it out.