Elevator Pitch
When systems fail, millions lose access, companies lose millions, and engineers lose sleep. Strategies to build self-healing systems that survive failures. Learn practical chaos engineering techniques, recovery automation, and architecture that keep systems running when—not if—components fail.
Description
When Failure Is Not an Option, But Inevitable System failures are not just technical incidents—they’re existential business threats. When Amazon’s S3 went down for just 4 hours in 2017, it cost S&P 500 companies an estimated $150 million. Netflix’s “Chaos Monkey” isn’t madness—it’s survival.
Beyond Traditional Reliability Engineering
We discuss approaches to building distributed systems that don’t just detect failure but expect it, embrace it, and transform it. Listeners will discover:
Antifragile architecture patterns that gain strength from disorder Practical chaos engineering methodologies that find weaknesses before your customers do Dynamic resource allocation systems that automatically heal degraded services Sophisticated monitoring strategies that detect failure signals in the noise
From Theory to Battle-Tested Practice
Moving beyond theoretical resilience, we’ll examine real-world war scenarios and the solutions that emerged:
- How a major financial platform survived regional datacenter failures without losing a transaction
- Techniques for achieving 99.999% reliability in globally distributed systems
- Implementation patterns for self-healing microservice architectures
- Automated resilience testing pipelines that stress-test systems continuously
- Graceful degradation strategies that preserve core functionality during major outages
Key Takeaways Attendees will leave with:
Actionable frameworks for identifying single points of failure in distributed architectures Code patterns and architectural blueprints for building self-healing systems Monitoring and observability strategies that provide early warning of impending failures Proven approaches to introduce chaos engineering in production environments safely Metrics that matter for measuring and improving system resilience
Don’t just hope your systems will survive the inevitable—engineer them to thrive in spite of it. This session will transform how you think about failure and equip you with the tools to build truly resilient distributed systems.
Notes
As the Lead DevOps Engineer at Botanixlabs (a Bitcoin Layer 2 solution), I’ve spent the last two years architecting and maintaining highly available, zero-downtime distributed systems where traditional reliability approaches simply don’t suffice. Our infrastructure:
- Testnet, which has processed over $20M in transaction volume
- Maintains 99.998% uptime for transaction validation and block producing nodes
- Spans 7 geographical regions with active-active redundancy
- Employs chaos engineering as a core development practice
No special technical requirements