Your Questions About AI Agents and Production Feedback Answered
On April 1st, I joined Akshay Utture from Augment Code for a webinar on how AI agents use production feedback to improve code.
Operations | Monitoring | ITSM | DevOps | Cloud
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The latest News and Information on Observabilty for complex systems and related technologies.
Tech Talk | AI Agents in O11y Cloud
Transform reactive incident response with Splunk’s troubleshooting agents, designed to drastically reduce mean time to identify and resolve issues. This session demonstrates how a multi-agent approach empowers teams of all skill levels to pinpoint root causes, prioritize issues by business impact, and prevent future outages. Tech Talk sessions offer insightful and valuable deep-dives for any technical practitioner.
When Your Observability Literally Stops Traffic
Last week, a fleet of autonomous robotaxis in China suddenly stopped working—at scale. Over a hundred vehicles stalled across a city, stranding passengers in traffic and raising immediate concerns about safety, reliability, and trust in autonomous systems. This wasn’t just a bad day for self-driving cars. It was a distributed systems failure, one that happened in the physical world, not just in dashboards.
Intro to Digital Experience Analytics in Splunk Observability Cloud
See how Digital Experience Analytics in Splunk Observability Cloud helps you understand real user behavior, troubleshoot conversion drop-offs, and measure feature adoption—all from a single platform.
OpenTelemetry Collector + Uptrace: From Zero to Your First Traces
Learn how to set up the OpenTelemetry Collector and connect it to Uptrace for distributed tracing, metrics, and logs. This step-by-step guide walks you through installation, configuration, and sending your first telemetry data — perfect for beginners and anyone looking to level up their observability stack.
Uncertainty and Change Are Everywhere in Software Development
If you’re like everyone else who works in software development, it’s a good bet that almost every single thing that you thought you knew about your business and engineering has changed as a result of the advent of modern LLMs. How should you respond to these changes? How should you change how you and your team develop software?
Introducing OrionIQ: The End of Manual Observability
OrionIQ is Logz.io’s new agentic observability platform designed to move teams from detecting issues to resolving them automatically. As AI accelerates software development, operations remain manual: engineers still wake up at 2 a.m. to investigate alerts and rebuild context. OrionIQ uses AI agents to analyze real-time telemetry, investigate incidents, identify root causes, and take action across systems.
AI agent observability: The developer's guide to agent monitoring
Most "agent observability best practices" content reads like a compliance checklist from 2019 with "AI" pasted over "microservices." Implement comprehensive logging. Establish evaluation metrics. Create governance frameworks. Not a single line of code. No mention of what happens when your agent silently picks the wrong tool on turn 3 and you need to figure out why.
Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA
This guest blog post is by Tohn Furutani, SRE Engineer at NTT DATA. Over the past year, the conversation around generative AI has shifted from single-shot use cases—such as summarization, Q&A, and chat interfaces—to agentic AI systems that can make decisions based on context, plan multistep actions, invoke tools, and adapt as conditions change.