~/conference

O'Reilly Velocity Conference in New York 2018

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Continuous DisintegrationAnil Dash04m
Asks whether current systems gate who's allowed to ship and discovers that a company tool called Glitch lets anyone edit and push to production — a colleague…
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Understanding and Managing Security EventsLaurent Gil12m
Cloud DNS hijacks reroute five IP blocks hijacked so a payment gateway's DNS resolves to servers in Ukraine for up to TTL set to five hours, exposing card…
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Test Measure Iterate - Balancing “Good Enough” & “Perfect”Kristopher Beevers07m
Critical-path DNS services require moving fast without large failures, so iterate in small, real-world releases to shrink failure scope and find bugs early…
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ML on Code: Machine Learning Will Change ProgrammingFrancesc Campoy Flores03m
Machine learning on source code treats code as the input and reuses data‑mining and NLP techniques but with stricter correctness constraints. Workloads train…
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How do Devops and SRE relate?Dave Rensin05m
SRE is an opinionated concrete implementation of DevOps principles, born at Google and codified in the SRE book and the Site Reliability Workbook; it…
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Practical performance theoryKavya Joshi06m
Models treat the web server as an M/G/1-style queue with assumptions: independent random arrivals, FIFO single-threaded processing, and constant service time…
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The Programmer's MindJessica McKellar04m
Argues that learning Python and contributing to free software trains people to model, debug and then redesign systems, and that those exact skills scale from…
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Practical EthicsLaura Thomson05m
Mozilla presents a practical policy: lean data practices — collect only what you need, keep it for the minimum time, and avoid violating user expectations…
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Chaos Day: When Reliability ReignsTammy Bryant Butow03m
Defines "Chaos Days" as regular, automated fault-injection sessions that borrow from Amazon game days, capture-the-flag security drills, and hack day culture…
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O’Reilly Radar: Open Source Tool Trends - What Our Users Tell UsRoger Magoulas10m
Safari data from 2.5 million users and 2+ million searches a year shows cloud topics up ~70% with AWS up 200%, Google Cloud ~100% and Kubernetes adoption…
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Why Marketing MattersMichael S. Bernstein05m
Central claim: more and better marketing → more and better adoption because time spent upfront on audience, value, and message reduces wasted engineering…
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Critical Path-driven DevelopmentJaana B. Dogan04m
Claims that treating user-visible request routes as first-class objects—critical path-driven development—lets teams discover critical user flows automatically…
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Facilitating Kubernetes infrastructure in the enterpriseChakri Nelluri07m
Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook…
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Simplifying software development with Kubernetes and containersDeepank Sharma09m
Verizon describes moving hundreds of services into containers on Kubernetes to standardize stacks, speed CI/CD and cloud migrations, and cut infrastructure…
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Building Kubernetes-native applicationsKris Nova07m
Describes a push to standardize infrastructure with the Kubernetes Cluster API so providers can share one representation; Google already implements it and…
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Fueling system discovery with observabilityCharity Majors10m
Observability reframes monitoring by collecting wide structured events that keep full context so engineers can derive metrics from events rather than the…
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Ensuring enterprise security when migrating to the cloudLaurent Gil10m
Oracle describes a posture: deploy a cloud-agnostic security platform on existing on‑prem systems before lift‑and‑shift, so the same controls follow workloads…
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