Operations | Monitoring | ITSM | DevOps | Cloud

Troubleshooting LangChain/LangGraph Traces: Common Issues and Fixes

We’ve covered how to get LangChain traces up and running. But even when everything’s instrumented, traces can still go missing, show up half-broken, or look nothing like what you expected. This guide is about what happens after setup, when traces exist, but something’s off.

Monitor your LiteLLM AI proxy with Datadog

As organizations rapidly scale their use of large language models (LLMs), many teams are adopting LiteLLM to simplify access to a diverse set of LLM providers and models. LiteLLM provides a unified interface through both an SDK and proxy to speed up development, centralize control, and optimize LLM-powered workflows. But introducing a proxy layer adds abstraction, making it harder to understand how requests are processed.

Built to Withstand the Next Outage: How PagerDuty AIOps Keeps You Ahead

June 12 started like any other Wednesday–until the internet broke. It started with Google Cloud’s Identity and Access Management (IAM) system, but the fallout hit everything built on top of it. Widespread service degradation swept across core Google products and third-party platforms. Gmail, Docs, Meet, and Chat went dark. Cloudflare services were unavailable. Developer and AI tools faltered.

Resolve COO, Ari Stowe speaks at ONUG AI Networking Summit 2025 #itautomation #agenticai #ai #tech

Our COO Ari Stowe spoke at @onugcommunity's AI Networking Summit on how AI and Zero Ticket IT are transforming enterprise IT. From tickets to autonomous resolution—AI, automation, and intelligent agents are changing the game. Hear why AI is now essential in today’s complex IT environments.

Got AI Fear? You Shouldn't; It's Coming for Your Busywork, Not Your Job

Artificial Intelligence (AI) has rapidly become a cornerstone of modern IT operations. Yet, despite its transformative potential, many IT professionals harbor apprehensions about integrating AI into their workflows. This growing AI fear, while understandable, often stems from misconceptions and a lack of clarity about AI's role and capabilities. This discussion aims to address and debunk common fears associated with agentic AI.

AI Won't Be Productive By Default (And That's OK)

Remember when we thought deploying from our laptops was efficient? When FTPing files directly to production at 2 AM felt like peak productivity? We’ve been here before. As AI transforms how we write code, we’re about to learn the same lesson all over again — but this time with much bigger bills.

Instrument LangChain and LangGraph Apps with OpenTelemetry

In our previous blog, we talked about how LangChain and LangGraph help structure your agent’s behavior. But structure isn’t the same as visibility. This one’s about fixing that. Not with more logs. Not with generic dashboards. You need to see what your agent did, step by step, tool by tool, so you can understand how a simple query turned into a long, expensive run.

Getting Started with AI Agent Monitoring From Sentry

Sentry has released AI Agent monitoring, and in this video you can see the fast path to getting started with it using the Vercel AI SDK and Anthropic Claude. AI Agent Monitoring uses tracing to let you see details around how AI interactions are happening inside your application. You can see the back and forth conversation flow, token usage, model usage, durations, and much more. Agent Monitoring is out now, take it for a spin, let us know what you think in Discord!