Operations | Monitoring | ITSM | DevOps | Cloud

Real-Time, Automated Resource Optimization for Kubernetes Workloads

Struggling with underutilized Kubernetes resources or rising cloud costs? Learn how Pepperdata Capacity Optimizer delivers real-time, automated resource optimization for Kubernetes and Amazon EMR workloads—helping teams reduce costs and boost performance without manual tuning. In this video, discover how Pepperdata helps DevOps, platform engineers, and FinOps teams.

Why AI Won't Replace Engineers: Solving Problems for Eternity

Is AI engineering a career killer or a game-changer? Dive into a thought-provoking discussion on how AI might redefine the role of software engineers. Discover why problem-solving engineers will always be in demand, even as the tools and methods evolve. If you enjoy tackling challenges, your career might just be future-proof.

CI/CD Observability Powered by OpenTelemetry | SigNoz Launch Week 4.0 Day 4

Tired of guessing why your releases stall, which PRs are stuck, or where flaky tests are wasting your team’s time? Most teams obsess over production monitoring, but what about the bottlenecks that often hide in the CI/CD pipeline slowing delivery, draining productivity, and introducing risk before code ever ships. With CI/CD Observability, you can: So, stop flying blind in your delivery process and make every release faster, more reliable, and fully transparent!

State of the Observability Databases with Dee Kitchen (Grafana Office Hours #30)

In this Grafana Office Hours, we talk about the state of observability databases (Grafana Loki, Mimir, Tempo, and Pyroscope) and where they're going. We talk about current and upcoming architectural changes in all four, how we're making them more performant, how compatible they are with OpenTelemetry, and what we're working on next for each database. In this conversation are Dee Kitchen (VP of Engineering for Databases) and Senior Developer Advocates Jay Clifford and Nicole van der Hoeven.

Debugging Microservices

Debugging microservices is tough, especially when you're juggling multiple services and relying only on logs. This video cuts through the complexity by showing you how to implement distributed tracing using Sentry. You'll see a practical demonstration in a food ordering app (built with React and Go) of how tracing can give you a clear view of your entire request flow, from the initial button click to the final operation across all your services.