Operations | Monitoring | ITSM | DevOps | Cloud

Standardize. Visualize. Drive Change. Cortex is the leading Engineering Operations Platform that helps organizations define what "good" looks like and empowers teams to reach those standards. From tracking DORA metrics to driving large-scale migrations, Cortex provides the visibility and tools necessary to maintain a high-performing engineering culture. In this video, you’ll see how to: Set the Standards: Create custom Scorecards (like Operational Maturity or DORA Metrics) with automated rules integrated directly from tools like PagerDuty, Incident.io, and GitHub.

100M+ weekly downloads. One compromised maintainer account. A remote access trojan in two active release branches. This is a 30-minute breakdown of the Axios npm supply chain attack – how it happened, why it was hard to detect, and what any engineering team can do right now to reduce exposure. Nigel Douglas, Head of Developer Relations at Cloudsmith, is joined by Jenn Gile, co-founder of Open Source Malware, a community-driven threat intelligence platform focused on malicious open source packages.

AI adoption is nearly universal. So why are most teams still struggling? In this session from GitKon, Nathen Harvey, head of DORA at Google Cloud, shares findings from the 2025 DORA State of AI-Assisted Software Development report, drawing on data from nearly 5,000 developers worldwide. The answer isn't more AI. It's what surrounds it.

Shipping feels slow. Reviews take forever. Things break more than they should. That’s the bottleneck.

In this session, we explore how organizations can move beyond basic cloud cost reporting to truly understand the business value of their IT investments. Using the T2Bv (Technology-to-Business Value) meta-framework alongside FinOps practices, we explain how to connect IT resources, including Azure environments, to measurable business outcomes.

Most teams treat cloud cost like something to clean up later. In reality, it is already baked into how your system behaves. Every workload has a personality. Some spike with concurrency. Some quietly run all day and never shut off. Some look efficient until scale hits and then costs accelerate. And some charge you every time they run, every query, every scan, every execution. This episode is about recognizing those patterns early. Once you understand how your architecture behaves under load and over time, you stop reacting to cost and start shaping it.

Dan breaks down the fundamental similarities and stark differences between application development and platform engineering. He shares the unexpected hurdles he faced during his transition, from complex networking and CoreDNS latency to the harsh realities exposed by chaos testing in cloud environments.

In this episode of Telemetry Talks, we explore OpenTelemetry observability signals—metrics, logs, and traces, and how VictoriaMetrics handles each of them with high performance, cost efficiency, and seamless integration. We briefly explain what each signal is, discuss common misconceptions, and share guidance on which signal to start with if you're new to observability. Together with our guests, both engineers at VictoriaMetrics, we walk through integrating VictoriaMetrics with the OpenTelemetry demo, showcase Grafana dashboards, and check the playgrounds for all three signals to see them in action.

Learn how to implement end-to-end monitoring and observability for Agno-based AI systems using OpenTelemetry and SigNoz. In this video, we walk through instrumenting your Agno workflows, collecting traces, metrics, and logs, and visualizing everything in SigNoz to gain real-time visibility into performance, failures, and bottlenecks. You'll see how to move from basic logging to production-grade observability—so you can debug faster, optimize latency, and confidently run AI systems at scale.

Is Your DevOps Strategy Ready for the AI Era? AI is accelerating modern software delivery—but it’s also raising the stakes for security, compliance, and auditability. As AI-driven change increases, many organizations are discovering that incomplete DevOps practices are creating new risk. Based on insights from 800+ global IT professionals, the 2026 State of DevOps Report reveals why vendor‑backed, enterprise‑grade DevOps platforms are becoming critical for managing AI‑driven risk and meeting evolving regulatory demands.