Operations | Monitoring | ITSM | DevOps | Cloud

Balancing performance and cost in Kubernetes doesn’t have to be a tradeoff. In this short demo, you’ll see how Datadog helps teams rightsize workloads, reduce over-provisioning, and measure real cost savings using Kubernetes autoscaling.

This video provides a clear and practical walkthrough of the Harness Artifact Registry, demonstrating how to work with Docker images in a secure and reliable manner. You will see the complete flow of pushing images into the registry and pulling them back for builds, deployments, and platform workflows. The goal is to help developers and platform engineers understand how the registry fits into everyday delivery pipelines.

Thinking about learning Kubernetes in 2026? You’ll need GitOps, kubectl, and CI/CD pipelines... OR you can just use Speedscale. See how a single operator replaces a million dependencies and gives you the traffic insights you actually need to survive production.

Is Kubernetes actually hard, or are we just using the wrong tools? In 2026, the Kubernetes ecosystem has become a "dependency jungle." Between GitOps, YAML configuration, kubectl mastery, and complex CI/CD pipelines, developers are spending more time managing infrastructure than writing code. In this video, Ken breaks down the "hard parts" of K8s and introduces a more efficient workflow using Speedscale. Learn how to gain instant visibility into your cluster, pull logs without the headache, and turn real-world traffic into actionable load tests.