Operations | Monitoring | ITSM | DevOps | Cloud

We gave $10k worth of data to five different observability platforms. Which agent finds the true answer? In the first episode of our benchmarks series, Chris and Annie walk through how an agent performed on Coralogix, Datadog, New Relic, Dynatrace and Grafana Cloud across 10 injected incidents. They also explain why sampled data makes agents "hallucinate the gap". Subscribe to our channel for more benchmarks and insights into observability and AI.

Learn what a unit test is, how AI coding assistants can write them for you, and the three key conditions every unit test should check to ensure software quality. Learn more: speedscale.com.

Agentic IT operations (Agentic ITOps) deploy autonomous AI agents that can perceive, reason, plan, and act to investigate incidents, coordinate people, and improve with every incident they touch. Think of it as the next step in a progression, where monitoring surfaced the symptoms, AIOps separated signal from noise, and Agentic ITOps takes action on what it finds.

The nature of cyber security is changing. In this video, I do a brief recap of a few of the compromises of the past couple weeks as well as highlight how our role as engineers is changing. Attackers have an easier time than ever in watching repos for changes to exploit 0-day vulnerabilities. But, it isn't all doom and gloom as long as we put in the effort. AI is creating a bit of an arms race between attackers and maintainers of sites and services, but there are actually more powerful tools available to defenders through exclusive programs like Daybreak, Glasswing, etc.

How do you trace a dropped conversion or a checkout failure to its technical root cause? See how full-stack observability in Grafana Cloud connects business impact to system performance across web and mobile clients, applications, infrastructure, and databases. In this session, Principal Software Engineer Jim Gehrett and Staff Product Manager Sarah Constant demonstrate how to start with a business problem and work backward through the technology stack to investigate its cause.

How does Uber use continuous profiling to improve performance and resource efficiency across several million CPU cores? In this Grafana Cloud case study, Senior Researcher Chris Zhang from Uber’s Frontier Tech Labs explains how the team uses Grafana Cloud Profiles and Grafana Assistant to identify expensive code and scale code optimization across its production systems.

See how Grafana Assistant uses AI to investigate incidents, identify root causes, and help remediate application problems. In this demo, Engineering Manager Ksenia Yadav and Staff Product Manager Maurice Rochau show how AI-powered observability supports the move toward autonomous operations, from detecting problems to generating code fixes and validating their impact in production. Explore how Grafana Assistant uses context from your telemetry, infrastructure, incidents, business data, and code to.

In Part 1 of this conversation, three early-career professionals at Digitate — Ryan Bascos, Renad Morrar, and Ritu Bhalodia — join The Intelligent Enterprise to share what it actually feels like to start a career in the age of AI: the tools they rely on, the concerns they carry, and what their generation sees that others might be missing.

Learn more - https://rbbn.com

Your engineers are writing more code than ever with AI, but your team isn't shipping more product. The code waits for review, agents run on personal laptops and accounts, and nobody can say what any of it costs. In this overview, we show what Upsun Dispatch is: where your team and its agents ship together, with every decision recorded and every dollar tracked. We get into.