Velocity 2016 New York
2016-09-20..2016-09-22
New York, United States
Velocity ·
[Velocity 2009, Velocity 2010, Velocity 2011, Velocity 2013, Velocity 2016 Santa Clara, Velocity 2016 New York, Velocity 2017]
who it's for
site reliability engineers, devops engineers, platform engineers, engineering managers, security engineers, data engineers, developer experience engineers
topics
serverless operations and responsibilities; function-level tracing; runtime IAM practices; chatops with bots; incident response practices and coordination; metrics collection costs and pruning; performance analytics using percentiles; continuous delivery and platform automation; deployment and monitoring tooling; ad blocking effects on publishers; secure fast-paced development practices
| title | author | length |
|---|---|---|
| Don't gamble when it comes to reliability | Tom Croucher | 03m |
A single mistyped command changes firewall rules from insert into firewall group all services to insert into all services the firewall service causing every… | ||
| DevOps, collaboration, and globally distributed teams | Ashish Kuthiala | 10m |
Hewlett Packard Enterprise adopts chatops across globally distributed dev, QA, ops and business teams, wiring persistent chat rooms with bots into CI… | ||
| Serverless is other people | Rachel Chalmers | 03m |
Argues that serverless pushes responsibility onto ops as the first last and only line of defense, forcing ops to own security incidents, network… | ||
| We need a bigger goal than collecting data | Mehdi Daoudi | 04m |
Cloud storage and cheap collection let teams turn on the firehose and hoard metrics but scalability has a cost: Netflix-level two million time series, Spotify… | ||
| Situation normal: All fouled up | Richard Cook, David Woods | 03m |
The SNAFUcatchers Consortium maps how incident response actually happens, claiming decades of observation (35 years) and offering a bird’s-eye 10,668-meter… | ||
| Data science: Next-gen performance analytics | Ken Gardner | 11m |
Claims collecting 425 billion beacons and keeping raw events costs about $9,000/month storage so predictive models and ad hoc queries can run on complete data… | ||
| Two years in the US Digital Service | Mikey Dickerson | 03m |
A White House startup grows from 7 to 194 in two years and targets 200 teams by year end, embedding engineers and designers inside agencies to fix failing… | ||
| Transforming how the world operates software | Andrew Clay Shafer | 05m |
Pivotal sells a playbook that packages lessons from the big web to modernize Fortune 500 tooling, processes, and mindsets, claiming outcomes of faster, safer… | ||
| Turning data into leverage | Ozan Turgut | 10m |
Shows concrete metrics recipes: use median (~400 ms) vs mean (~600 ms) to avoid outlier-driven averages, inspect max (10 s) and 99th percentile (~5 s) to judge… | ||
| Security at the speed of innovation: Defensive development for a fast-paced world | Kelly Lum | 04m |
Lessons from startups and banks about concrete practices that scale with velocity: adopt pull requests workflows with automated security checks, add… | ||
| Is ad blocking good for advertisers? | Tony Ralph | 02m |
Explains how iOS 9 content blocking hooks let third-party apps stop specific requests so most blocking happens at the domain level, which means ad servers… | ||
| Building bridges with DevOps | Katherine Daniels | 01m |
Argues that applying DevOps principles of empathy and cross-team practices to organizational culture builds inclusive, low‑cost pathways out of burnout and… | ||
| Make performance data (and beyond) accessible | Alois Reitbauer, David Kennedy | 13m |
Claims a conversational interface called Davis built on the Dynatrace AI platform that turns sprawling telemetry into plain answers, not dashboards. It ingests… | ||
| interviewed at | Ryan Goldman, John Bruce | 12m |
SignalFx delivers real-time streaming analytics for microservices and hybrid stacks, ingesting metrics to answer concrete questions like "how many days until… | ||
| nothing matches | ||