| Sumario: | Velocity London 2017 gathered the planet's best systems engineers, operations and site reliability engineers, systems architects, application developers, and performance engineers to discuss systems engineering, operations, and performance. Clocking in at 50+ hours, this video compilation contains a complete recording of each of the conference's keynotes, tutorials, and technical sessions. With keynotes like Kolton Andrus' (Gremlin) exploration of chaos engineering and Tyler McMullen's (Fastly) dissection of edge computing; tutorials on HTTP/2 development, Go performance analysis, and SRE; technical sessions on the Universal Scalability Law, Strymon performance analysis, and multiregion remote configuration using Consul; multiple sessions on leadership, DevOps, resilience engineering, and serverless; and a speaker list representing the top tech talent at Google, Akamai, NS1, Datadog, PubNub, Bitnami, BBC, and more, this video of Velocity London 2017 is a phenomenal knowledge booster for anyone tasked with building and maintaining complex distributed systems. Learn from 77 of the world's top SREs, systems architects, engineers, CTOs, and CIOs Hear Sara-Jane Dunn (Microsoft Research) unveil biological computation, a new paradigm for computing where information-processing is carried out by cells Listen to Catherine Mulligan (Imperial College London) demystify blockchain and its implications for the future of distributed computing Watch Angie Jones (Twitter) lay out the best ways to create stable and credible continuous integration tests Take in Kavya Joshi's (Samsara) exploration of the fascinating timekeeping mechanisms (e.g., atomic clocks, NTP, hybrid logical clocks) used in real time systems Learn from Christopher Meiklejohn (Instituto Superior Técnico) about Martinelli, a new programming language that allows fault tolerant, highly scalable operations of applications See Janna Brummel (ING Netherlands) describe the process of setting up SRE for a highly regulated global financial institution Watch sessions on networking, traffic, and edge management; distributed data and databases, orchestration, scheduling, and containers; hardware, storage, datacenters, and capacity planning; monitoring, tracing and metrics; and much more
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