The Observability Guide to Platform Engineering - Part 1: Platform Observability & Success KPIs
Increasing Developer Velocity, Improved System Resiliency and Scaling DevOps Best Practices are the top reasons organizations invest in building Internal Development Platforms (IDPs). An IDP is a software product, often but not mandatory built on top of Kubernetes, enabling developer self-service for all relevant use cases in the software development lifecycle. Like any product, observability is needed to understand whether the product works as expected, is efficient, resilient, and provides the desired value to the end users. Join this Observability Clinic where Andreas Grabner, CNCF Ambassador, and Global DevRel Lead at #Dynatrace, walks you through: Architecture of IDPs including Platform (Storage, Messaging, ...) & Delivery Services (GitOps, Testing, Security, ...) What KPIs measure the success of an IPD: Adoption, SPACE, DORA How to make your Platform Observable: Metrics, Logs, Traces, End User Behavior Practices on defining SLOs and SLAs for your Platform Services Links discussed in this webinar: Dynatrace Trial: https://bit.ly/dtsaastrial Dynatrace Playground Tenant: https://dt-url.net/discover Dynatrace Tutorials on GitHub: https://github.com/dynatrace-perfclin... Chapter List: 00:00:00 - Introduction 00:00:20 - What you'll learn today 00:03:00 - Intro to Platform Engineering 00:10:32 - Platform Engineering at Dynatrace 00:22:48 - Hands-On Platform Engineering 01:01:25 - Live Q&A Subscribe to our channel → https://dynatr.ac/subscribeYT Stay up-to-date with Dynatrace! Follow us on: Facebook → / dynatrace Instagram → / dynatrace LinkedIn → / dynatrace Twitter → / dynatrace Twitch → / dynatrace Have a question about our platform? Visit our Dynatrace Community to connect with our experts and users → https://dynatr.ac/3FYfPB3

The Observability Guide to Platform Engineering, Part 2 - Observing & Analyzing Backstage, Argo, Git

Developer Observability - Part 1: Automated Diagnostics

Why Is My App SLOw? Defining Reliability in Platform Engineering • Jez Humble • YOW! 2023

Data Analytics for Beginners | Data Analytics Training | Data Analytics Course | Intellipaat

Deep Dive: New CloudGuard for AWS GWLB Deployment Without NAT Gateways

Practitioners Guide to Optimizing End User Experience

Observability vs. Monitoring

NestJS Full Course for Beginners in 2026 | Build a Production-Ready API

Non-Technical Challenges of Platform Engineering

Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code)

Platform Engineering for Software Developers and Architects - Daniel Bryant, Syntasso

Getting Started with Dynatrace Terraform
![Kubernetes Tutorial for Beginners [FULL COURSE in 4 Hours]](https://i.ytimg.com/vi/X48VuDVv0do/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDNg7nINwKqigXGqrL80FN9YuTNGg)
Kubernetes Tutorial for Beginners [FULL COURSE in 4 Hours]

Designing Data-Intensive Applications: Chapters 1 and 2

Building an AI Dark Factory: A Codebase That Writes Its Own Code, Live

Master Platform Engineering: Architecting Scalable and Resilient Systems | BRK209

OpenTelemetry Demystified: An Observability Tutorial for Beginners

Free Event: Power BI Beginner to Pro 2026 Edition - Full Hands-On Tutorial

Monaco 2.0 - Dynatrace Configuration as Code Reloaded!

