Explore automated diagnostics for developers in this comprehensive video from Dynatrace's Developer Observability series. Learn how to leverage distributed traces, metrics, logs, and other observability data to detect and diagnose issues in distributed environments. Discover techniques for identifying inefficient code executions, misconfigurations, crash root causes, and race conditions. Gain insights into analyzing CPU and memory hotspots, detecting vulnerable code, and automating diagnostic checks in your development process. Follow along with live demos showcasing Kubernetes, ArgoCD, and OpenTelemetry implementations, and learn pro tips for release metadata, site reliability, and deployment notifications. Dive into trace analysis, log management, security considerations, frontend monitoring, and runtime diagnostics to enhance your observability skills and streamline application performance.
Developer Observability - Automated Diagnostics - Part 1
Overview
Syllabus
- Introduction
- What you're going to learn today
- Making your workloads observable
- The Cloud Native Way to Observability
- Live Demo K8s, ArgoCD, OpenTelemetry
- The OneAgent Way of Observability
- Live Demo Playground Environment
- 1-Click Access to your workloads
- Pro-Tip: Release and Ownership Metadata
- Pro-Tip: Site Reliability Guardian
- Automation Tip: Deployment Notifications
- Analyze your Traces in One Spot
- Pro-Tip: Find Traces through W3C Context
- Analyze your Logs
- Automation Tip: Get notified on critical logs
- Security for Developers
- Frontend and Real User Analysis
- Runtime Diagnostics: CPU, Memory, Threads
- Wrap Up
Taught by
Dynatrace
