Operations | Monitoring | ITSM | DevOps | Cloud

Building an AI Observability Agent: Lessons from the Trenches - Stripe at O11yCon 2026

Stripe shares lessons from building an incident investigation agent, from context-window blowups to why the final 5% still needs a human. In this O11yCon 2026 talk, they dig into what it takes to go from 'it works' to 'it works reliably,' including how pointing agents at like Honeycomb's speeds up on-call investigations.

Signal vs. Spend: Building Cost-Aware Observability at Slack - O11yCon 2026

It started with a single log line taking up a massive amount of volume: 500 million emissions per hour. Pulling that thread led Emma and Steven into Slack's broader logging pipeline: 311 billion logs per day at 4.4M/sec peak, with no volume limits, no per-service attribution, and no feedback to the teams generating the noise.

Where Historians Fall Short for Physical AI

Summary Physical AI—machines and industrial systems that sense conditions, reason, and act in the real world—needs two things from operational data: detailed history for training, and real-time telemetry for inference. Traditional data historians weren’t built for either at the speed Physical AI requires. Four gaps result: limited real-time access, compression that strips model-relevant signal, IT/OT fragmentation, and site-by-site architectures.

How to Select the Right PCS for Commercial and Industrial Energy Storage Systems

When companies evaluate commercial and industrial energy storage systems, the battery usually receives most of the attention. Capacity, cycle life, and battery chemistry are often the first specifications discussed. However, the Power Conversion System (PCS) plays an equally important role because it determines how effectively stored energy can be used.

Why Responsible Technology Use Matters

Technology plays an integral role in our lives today. Technology is applied in communications, education, business, shopping, and various other tasks we undertake daily. The emergence of new forms of technology such as Artificial Intelligence, Cloud Computing, and IoT has made life more comfortable, but at the same time, they present challenges including privacy concerns, cyberattacks, and the spread of misinformation, among others.