Conf42 Chaos Engineering 2022
2022-03-10
-- online --
[Conf42 Chaos Engineering 2020, Conf42 Chaos Engineering 2021, Conf42 Chaos Engineering 2022, Conf42 Chaos Engineering 2024]
who it's for
chaos engineers, site reliability engineers, platform engineers, observability engineers, security engineers, devops engineers, engineering managers
topics
self healing systems; automated rollback with feature flags; Azure Chaos Studio; AWS Fault Injection Simulator; chaos for serverless; multi region terraform deployments; Litmus and Gremlin experiments; AIOps for monitoring automation; osquery fleet agent management; npm supply chain malware detection; disaster recovery RTO and RPO strategies; service mesh distributed transactions
| title | author | length |
|---|---|---|
| Premiere | 20m | |
Twenty-five-plus short sessions outline concrete chaos practices, tools and experiments rather than theory: self‑healing systems that roll back to a known good… | ||
| Self Healing Systems | Nick Hodges | 26m |
Explains how Rollbar and error monitoring create actionable signals that trigger automatic rollback or flip feature flags to restore service without human… | ||
| Glitches in the Matrix, or Taming Agent Chaos | Zach Wasserman | 26m |
Fleet manages osquery agents with concrete mitigations: a process watchdog that blocks expensive queries for 24h, Linux cgroups as a hard backstop, per-query… | ||
| Continuous Reliability. How? | Ana Margarita Medina | 27m |
Claims that Keptn automates delivery and operations by enforcing service level objectives as quality gates inside CI/CD, integrating with Dynatrace and… | ||
| Chaos Engr at Microsoft with Azure Chaos Studio | John Engel-Kemnetz | 33m |
Azure Chaos Studio is a fully-managed chaos engineering platform integrated with ARM, Policy and Bicep, currently in public preview and used by 50+ Microsoft… | ||
| Defining Steady States and Developing Hypotheses | Sakshyam Shah | 34m |
Argues that security chaos engineering uses existing baselines like CIS benchmarks and threat models like MITRE ATT&CK to turn controls into testable steady… | ||
| Chaos engineering for serverless | Gunnar Grosch | 34m |
Shows how to form serverless hypotheses and actually run them: use AWS Fault Injection Simulator to change Lambda reserved concurrency to zero and auto… | ||
| Confidence in Chaos | Narmatha Bala | 15m |
Practical checklist for chaos testing: measure the four golden signals—traffic, latency, errors, saturation—use real numbers (increase traffic from ~200 req/s… | ||
| Maintaining reliable systems | Ayelet Sachto | 15m |
Argues that outage impact shrinks by attacking three measurable windows: time to detect, time to repair, and time between failures, and notes human involvement… | ||
| Optimizing incident response | Paul Marsicovetere | 10m |
A non-production Kubernetes cluster experiment injects terminations of child pods parent pods and the node while streaming client-facing logs; the run… | ||
| Disaster Recovery preparedness | Kyle Shelton | 14m |
Chaos engineering is used to simulate real AWS outages to validate DR plans by measuring RPO and RTO and closing the gap between detection and auto recovery… | ||
| What's Going on Inside the Node_Modules Folder | Feross Aboukhadijeh | 31m |
Examines real npm incidents: a ua-parser.js release with a Monero miner and password‑stealing DLL affects a package with 7 million weekly downloads and was… | ||
| Purple Teaming with OWASP PurpleTeam | Kim Carter | 29m |
OWASP PurpleTeam is a developer‑first security regression tester: a CLI that runs in build pipelines and a SaaS/back end of NodeJS microservices, Lambdas/ECS… | ||
| Defeating Ransomware Attacks | Kennedy Torkura | 35m |
Claims that security chaos engineering turns backups and runbooks into testable hypotheses by injecting faults and running game days against cloud stacks… | ||
| Multi Region Terraform Deployments | Lerna Ekmekcioglu, Jack Iu | 35m |
Demo shows a Terraform-built CI/CD that parses git tags to pick environment team and region and then runs CodeBuild to push a versioned S3 artifact, runs… | ||
| Chaos Engineering alongside Litmus and Jenkins | Akram Riahi | 28m |
Shows a working CI pipeline that uses Litmus Chaos 2 with Jenkins pipeline, Terraform-provisioned EKS on AWS, GitHub, Docker registry, Prometheus/Grafana and… | ||
| When Gremlins Play with Cockroaches | K Rain Leander | 16m |
Experiment uses Gremlin "Failure as a Service" against CockroachDB serverless then the open-source dedicated build, trying Docker, Minikube and three AWS… | ||
| Chaos Experiments under the lens of AIOps | Michele Dodic | 18m |
MiniKube ecommerce demo with ~10–11 microservices uses Splunk Observability + an AIOps layer, litmuschaos to inject 4,000 ms network latency into the card… | ||
| At the age of AI and ML | Soumen Chatterjee, Nathalie Rauschmayr | 33m |
Shows a concrete pipeline that detects adversarial inputs by capturing layer activations with SageMaker Debugger, comparing training vs inference… | ||
| The Road to Reliability | Julie Gunderson | 29m |
Claims that Chaos Engineering plus GameDays improve tempo (deployment frequency, lead time) and stability (MTTR, change failure rate) by testing real failure… | ||
| Distributed Transactions in Service Mesh | Alparslan Avci | 35m |
Shows a concrete implementation of the distributed saga pattern using Istio and Envoy filters: a Lua Istio envoy filter records transaction IDs to a Propeller… | ||
| Application for Blockchain in Crowdsourcing Data | Ignas Galvelis | 23m |
Claims that blockchain solves crowdsourcing by using tokens as long-term incentives, orders contributions reliably, and preserves pseudonymity; warns… | ||
| Learnings from Chaos experiments | Vishnu Vardhan Chikoti | 19m |
Summary of concrete learnings from running chaos experiments for ~4–5 years across Fanatics and banks: common failures are reconnect failures, timeout and… | ||
| Learning to overcome the choice paradox | Fabricio Buzeto | 26m |
Advice-driven tactics for everyday engineering choices: store decisions outside your head and store notes externally so the prefrontal cortex stops rechecking… | ||
| How to Win Friends with API First | Arlemi Turpault | 30m |
Postman reports 17 million users and a 28,000-person survey showing 11% uncertainty about API first; API‑first defines interfaces with OpenAPI 2/3 so teams… | ||
| nothing matches | ||