~/conference

LISA17

site reliability engineers, devops engineers, operations engineers, platform engineers, observability engineers, security engineers, engineering managers

distributed tracing with Zipkin and Jaeger; fast automatic log parsing to Logstash filters; multi-region MySQL architecture; immutable infrastructure and canary deploys; incident response runbooks and orchestration; Linux container performance analysis; BPF-based JVM production monitoring; cloud key management and secret rotation; resiliency testing with Toxiproxy; capacity modeling and Universal Scalability Law; ChatOps and operational bots; distributed firewall and network disaggregation

titleauthorlength
Where's the Kaboom? There Was Supposed to Be an Earth-Shattering Kaboom!David N. Blank-Edelman25m
Operations teams are awful at retiring systems and should borrow demolition practices: treat removal as reverse engineering, require a written deconstruction…
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Coherent Communications—What We Can Learn from Theoretical PhysicsKevin Barron40m
Evidence shows quantum coherence in algae routes nearly all harvested energy to the nearest chromophore despite receptors being ~2x farther apart than in…
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Persistent SRE Antipatterns: Pitfalls on the Road to Creating a SuccessfulBlake Bisset, Jonah Horowitz47m
Argues that alerts must target user-level service health not individual hosts, and that noisy host alerts cause alert fatigue; recommends automated remediation…
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The 7 Deadly Sins of DocumentationChastity Blackwell43m
Seven concrete failures and fixes: documentation ends up deprioritized so incidents drag on, and a GitHub 2017 survey finds 93% insufficient; separate run…
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Working with DBAs in a DevOps WorldSilvia Botros30m
Advice: put a technology catalog in place listing every cache, datastore and framework and require a vetting process before adding things like Cassandra or a…
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Case Study: Deploying a Multi-Region, Highly Available MySQL ArchitectureGabriel Ciciliani41m
Designs a three-region Azure MySQL deployment with a single-master (chosen for lowest latency) and local read replicas in each region, traffic routed by Azure…
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Distributed Tracing: From Theory to PracticeStella Cotton30m
Heroku describes running an in-house Zipkin deployment (Java app, Docker/Cassandra) and instrumenting Ruby services with rack middleware and Faraday hooks to…
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Stories from the Trenches of Government TechnologyMatt Cutts, Raquel Romano33m
Stories describe building the vets.gov platform with a thin Rails API and React front end that cuts processing from 100+ days to one day, raises online…
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Fast Log Analysis Made Easy by Automatically Parsing Heterogeneous LogsBiplob Debnath, Will Dennis30m
Automatic parser called LogMine clusters tokenized logs, masks datatypes, aligns variants with Smith-Waterman and outputs Logstash filters that integrate with…
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Failure Happens: Improving Incident Response in Large-Scale OrganizationsDamon Edwards45m
Describes concrete fixes for slow enterprise incident response: turn manual, ticket-driven handoffs into operations as a service with a secure hub…
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Opening Plenaries: Security in AutomationJamesha Fisher, Leigh Honeywell38m
Argues that automation must handle the repetitive security work that scales: scripted user onboarding/offboarding via Slack command-based board bot, Duo-driven…
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Queueing Theory in Practice: Performance Modeling for the Working EngineerEben Freeman46m
Small experiments measure one core’s latency under load (thousands of req/s, sub-millisecond latencies) and fit a simple M/M/1-style model with a…
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Clarifying Zero Trust: The Model, the Philosophy, the EthosEvan Gilman, Doug Barth40m
PagerDuty documents building a cross‑region access control system that replaces VPN tunnels with a full opportunistic IPSec mesh so mutual auth and…
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Fast and Safe Production Monitoring of JVM Applications with BPF MagicSasha Goldshtein45m
BPF + BCC tools attach to JVM static tracepoints and kernel events and produce aggregated results in-kernel instead of dumping massive perf files. Examples…
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Linux Container Performance AnalysisBrendan Gregg43m
Describes Netflix Titus as a runtime that launches 1,000,000 containers in one week and uses Linux 4.9+, Intel snap and Netflix Vector/Atlas for metrics. Shows…
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SREBot—More Than a Chatbot—An Intelligent Bot to Crush Mitigation TimeCezar Alevatto Guimaraes32m
An intelligent incident bot called SREBot automates bridge creation, chat logging and ticketing, uses LUIS for NLP to parse commands, and runs automated impact…
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Sample Your Traffic but Keep the Good Stuff!Ben Hartshorne30m
Describes concrete sampling recipes: record per-event sample rates, use fields like HTTP status, dataset, method and URL to bias selection, and let servers…
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Wait for Us! Evolving On-Call as Your Company GrowsChristopher Hoey24m
Datadog scales from a small startup to ~800 employees ingesting trillions of datapoints per day, and primary/secondary on-call breaks down under that load…
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An Internet of Governments: How Policymakers Became Interested in “Cyber”Maarten Van Horenbeeck45m
Covers concrete episodes that pushed governments into cyber policy: Clipper Chip (1993), Stuxnet (2010), DigiNotar (2011) and the Mirai DDoS that toppled DNS…
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Charliecloud: Unprivileged Containers for User-Defined Software Stacks in HPCMichael Jennings45m
Charliecloud uses Linux user and mount namespaces to run industry-standard Docker images on HPC without privileged daemons, claiming a minimal trusted runtime…
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Pintrace: A Distributed Tracing PipelineSuman Karumuri46m
Pinterest builds a Zipkin-based pipeline called PinTrace that collects spans via local logs → Kafka (using singer) → a Spark job into Elasticsearch, handling…
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System Crash, Plane Crash: Lessons from Commercial Aviation and Other Engineering FieldsJon Kuroda01h 15m
Comparisons use concrete incidents and fixes: Air France 447 stalls and Air France 447 228 dead expose sensor failure plus missing manual training, United 232…
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DevOps in Regulatory Spaces: It's Only 25% What You Thought It Was…Peter Lega44m
DevOps teams scale into regulated health‑science by turning tools into auditable platforms: a Greenfield DevOps stack evolves into a qualified Robot Framework…
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Testing Before You Scale & Making Friends While You Do ItRenee Lung27m
Builds a Node-based load generation platform to simulate one account creating up to 20,000 incidents/day (≈7.2M/year) and runs three production nuclear option…
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UX Design and Education for Effective Monitoring ToolsAmy Nguyen37m
Argues that UX changes measurably improve monitoring: adds an alert previewer that shows aggregation (average over 10 minutes) and notification windows so a…
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ChatOps at Shopify: Inviting Bots in Our Day-to-Day OperationsDaniella Niyonkuru46m
Shopify runs chat-driven ops via a Ruby Lita-based bot called Spy tied to Slack, GitHub, PagerDuty and internal APIs, serving 500k+ merchants and ~1,200…
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Your Secrets in Cloud-Based Key Management ServicesDan O'Boyle28m
Stack Overflow moves secrets from repos into Google KMS, storing ciphertext in a Google Cloud Storage bucket and decrypting at runtime with a custom kms.py…
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Vax to K8s: Ticketmaster's Transformation to Cloud Native DevopsHeather Osborn44m
Ticketmaster moves 200+ products from a VAX/on‑prem estate into a cloud‑native DevOps model using Docker, Kubernetes (Tectonic/CoreOS), AWS and Terraform…
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Resiliency Testing with ToxiproxyJake Pittis26m
Shopify builds and runs an open‑source TCP proxy called Toxiproxy that sits between apps and dependencies, exposes an HTTP API, and has Ruby and Go clients so…
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Capacity and Stability PatternsBrian Pitts41m
Eventbrite handles sudden on‑sales that can quadruple one endpoint’s traffic in a minute and serves 150M tickets last year, so engineering focuses on concrete…
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Never EventsMatt Provost46m
Adopts the NHS definition of a Never Event (4 criteria: wholly preventable, serious harm potential, past occurrence, easily recognized) and shows how to make…
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"Don't You Know Who I Am?!" The Danger of Celebrity in TechCorey Quinn45m
Talk argues that copying famous companies without context fails; cites Netflix has developers with root in production and explains why that works only with…
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Scaling Talent: Attracting and Retaining a Diverse WorkforceDerek Arnold, Amy Nguyen, Qianna Patterson, Wayne Sutton, Derek Watford, Tameika Reed01h 37m
Panelists argue that fixes are concrete not rhetorical: companies build internal technical‑education platforms, create paid high‑school internships, recruit…
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Have You Tried Turning It Off and Turning It On Again?Tanya Reilly40m
Argues that a simultaneous reboot can leave a site unrecoverable because of hidden runtime dependencies and bootstrapping cycles, shows dependency graphs…
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Disaggregating the Network: Switching as a ServiceNina Schiff37m
Facebook disaggregates switching hardware and software by building white‑box switches (Wedge, Backpack) that run FBOSS on a CentOS microserver attached to a…
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Scalability Is Quantifiable: The Universal Scalability LawBaron Schwartz30m
Claim: scalability is a simple quantitative function. The Universal Scalability Law models throughput vs concurrency with two measurable parameters: sigma…
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Now You See Me Too: Visual Tooling for Advanced System AnalysisSuchakrapani Sharma44m
Shows how large kernel and user traces compress into actionable visuals using FlameGraphs, FlameCharts and timelines, and demonstrates concrete tooling…
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Managing SSH Access without Managing SSH KeysNiall Sheridan28m
Replaces long-lived private keys with ephemeral certificates signed by a central casher CA that authenticates via Google OAuth, issues keys generated in memory…
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Calcifying Crisis ReadinessRock Stevens20m
Argues organizations must run no-notice full-scope penetration tests in production, combine Chaos Monkey-style fault injection with military “react to contact”…
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Debugging at Scale Using Elastic and Machine LearningMohit Suley30m
A production pipeline ingests Kafka/Storm traces and user impressions, runs distributed tracing via Zipkin, tokenizes logs into sentences and key/value pairs…
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LinkedIn's Distributed FirewallMike Svoboda, Nils Christian Roscher-Nielsen41m
LinkedIn shifts firewall enforcement from big‑iron choke points to per‑host rules that are generated from a central ACL DB and applied via iptables and ipset…
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Operational Compliance: From Requirements to RealityTrevor Vaughan26m
Onyx Point operationalizes compliance by integrating scanners and policy checks into GitLab CI pipelines, using open tools like the SCAP Security Guide…
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The Actor Model and the Queue or “Batch is the New Black”James Whitehead II46m
Combines the Actor model with queue-based pull not push processing and shows it runs at national scale: re-architects an enrollment pipeline that must handle…
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The Hidden Costs of On-Call: False AlarmsCody Wilbourn32m
False alerts multiply costs: simple investigation time plus a ~40% context‑switch penalty produces roughly a 4× overhead and a 5% false‑alert rate can cost…
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Becoming a Plumber: Building Deployment PipelinesDaniel Barker45m
Claims a company-wide system that enforces deployment pipelines for every app and lets many app types use the same pipeline structure, cutting legacy drift and…
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