Adrian Cockcroft has had a long career working at the leading edge of technology. He’s always been fascinated by what comes next, and he writes and speaks extensively on a range of subjects. He joined Amazon as their VP of Cloud Architecture Strategy in 2016, recruited and leads their open source community engagement team. He was previously a Technology Fellow at Battery Ventures. There he advised the firm and its portfolio companies about technology issues and also assists with deal sourcing and due diligence. Before joining Battery, Adrian helped lead Netflix’s migration to a large scale, highly available public-cloud architecture and the open sourcing of the cloud-native NetflixOSS platform. Prior to that at Netflix he managed a team working on personalization algorithms and service-oriented refactoring. Adrian was a founding member of eBay Research Labs, developing advanced mobile applications and even building his own homebrew phone, years before iPhone and Android launched. As a distinguished engineer at Sun Microsystems he wrote the best-selling “Sun Performance and Tuning” book and was chief architect for High Performance Technical Computing. He graduated from The City University, London with a Bsc in Applied Physics and Electronics, and was named one of the top leaders in Cloud Computing in 2011 and 2012 by SearchCloudComputing magazine.
With the right architectural and operational patterns, failures are mitigated, contained and managed, rather than escalating and getting out of control. This talk will explore how to apply some industry standard techniques — including Failure Modes and Effects Analysis, and Systems Theoretic Process Analysis — to cloud native microservices architectures. Mitigation methods depend upon multiple layers of defense, but these defenses need to be tested to show that they work, and we will also look at how chaos engineering techniques are driving the industry from annual datacenter disaster recovery testing of monolithic applications to continuous resilience assurance for cloud native microservices.
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