Workshop Agenda Section 1: Foundations & Principles - Chaos Engineering: concept, history, banking relevance, examples - Principles & methodology: hypothesis, blast radius, safety - Alignment with SRE and value of Chaos Engineering - Best practices for experiments with Steadybit Section 2: Foundations & Principles - First Experiments & Tool Introduction - Steadybit Core overview - Testing environments: setup & use - Explorer: navigation & usage - Advice: insights & interpretation - Templates: setup & reuse - Live demo: simple experiments (network, service disruptions) - Experiment actions: overview & differences Section 3: Practical Scenarios - Real world scenarios from customers - Design & run your first experiment (groups of 3) - Simulate slow or unresponsive DB with small blast radius - AWS load balancer experiment: simulate service errors Section 4: First Experiments & Tool Introduction - Kafka experiments: record loss, broker downtime, leader election - Complex K8s experiments: pod deletion, node drain, CPU/memory/disk stress - Cross-tool experiments with Datadog, PagerDuty & Steadybit - Integrate via API or CLI - Simulate slow or unresponsive DB with small blast radius - Extend with custom open-source extensions