Operations | Monitoring | ITSM | DevOps | Cloud

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.

Is your engineering org actually getting better, or just shipping more? In this overview, we dive into how leadership and platform teams use Cortex to move beyond manual audits and spreadsheets. Learn how to transform "tribal knowledge" into a data-driven culture of engineering excellence by centralizing visibility and automating operational standards. Key Highlights: Mission Control: Using the Service Catalog to map dependencies and ownership without the Slack-pinging or Wiki-hunting.

Is your ITSM platform quietly limiting your automation strategy? In this webinar, Resolve breaks down a critical misconception in modern IT operations: why ITSM systems were never designed to serve as orchestration engines, and what it’s costing your organization when they do. You’ll learn.

Meet the Resolve Ticket Vacuum. A fully autonomous vacuum that removes tickets instantly from any queue, across any environment. Incidents, requests, access issues. Gone before they reach your team. No triage. No escalation. No manual work. It doesn’t suck. It resolves.

Cliff Johnson, Broadband Initiative Director at NRECA, and Ribbon’s Marketing & Product Director, Mitch Simcoe, cut through the noise to clarify where BEAD funding truly stands—what has been allocated, where significant dollars remain, and how emerging middle‑mile opportunities are reshaping the competitive landscape.

Playwright is too hard, too slow, and too flaky — right? In this webinar, Stefan busts six common end-to-end testing myths and shows how to reuse your Playwright tests as production monitors with Checkly. He covers codegen, trace viewer, UI mode, flakiness root causes (and fixes), and a quick look at Playwright MCP for AI-assisted test generation.