Presented by

  • Grant Patterson

    Grant Patterson

    Grant is Elastic's Senior Principal Solutions Architect for ANZ, based in Canberra, Australia. Elastic are the makers of Elasticsearch, the open source and market-leading search AI platform downloaded over 5 billion times that empowers customers to find the results that matter, across all of their data, in real-time. Elastic’s Search, Observability, and Security solutions are depended on by brands like Uber, Slack, Microsoft, and thousands of others. Grant has been with Elastic for over 3 years specialising in Search, Analytics, Machine Learning and AI. He has previously worked in several roles in the Analytics, AI and Automation space, including as IBM Australia’s Data and AI Architect for Federal Government. In his spare time he is an open source Home Automation enthusiast, and can often be found putting the Elastic stack to work at home to Observe and Secure his house.

Abstract

This will be a workshop focused on OpenTelemetry and Elastic (Elasticsearch) using Elastic's Distribution for OpenTelemetry (EDOT). This session is perfect for anyone looking to level up their observability game and get better insights into their systems.

Agenda - What We'll Cover
  • Getting Started: Quick intro to OpenTelemetry and EDOT, plus what we'll achieve today
  • Logs & Metrics Setup: Configure the OpenTelemetry Collector using Semantic Conventions
  • Kubernetes Monitoring: Add K8s data sources and deploy a self-service monitoring stack
  • Trace Collection: Enable APM with zero code changes and auto-instrument Java services
  • Service Level Objectives: Set up and track SLOs for service reliability
  • Data Analysis: Explore your logs, metrics, and traces using Kibana dashboards
  • Wrap-up & Questions