~/conference

{unscripted} 2021

site reliability engineers, platform engineers, devops engineers, ci/cd engineers, engineering managers, observability engineers, infrastructure engineers

continuous integration pipelines; test driven development; feature flag management; canary deployments and rollbacks; OpenTelemetry agent and collector; distributed tracing in Kubernetes; Terraform workspaces for multi-env; GitOps deploys for sidecars; Drone CI as service; autoscaling CI runners; cost-aware observability ingestion; chaos and performance testing non-production

titleauthorlength
Testing Times in 2021: Delivering with ConfidenceDave Farley46m
Argues for a deployment pipeline that produces a release candidate and evaluates releasability across commit acceptance and production stages using test driven…
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Building Confidence Together: Continuous Integration & TestingAshley Kim, Jenna Charlton, Ken Angell, Jon Bonafato, Stewart Platt32m
CI work focuses on concrete changes: move validation into pull requests, run linters and a Python static type checker as pre-commit hooks so failures surface…
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A Crawl, Walk, Run Story of CI/CDMathieu Leclerc22m
A practical CI/CD pipeline uses drone for CI and harness for CD, with canary deployments, Datadog log verifications, and intelligent rollbacks tied to…
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Scaling to Meet Today's Software Delivery WorkloadsJim Sheldon27m
Meltwater runs Drone as a service since June 2018, executing about 1,000–1,300 pipelines per weekday backed by MySQL (not sqlite). Runners intentionally set to…
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Observing the FutureBob Chen14m
Claims a vendor‑neutral observability stack built on OpenTelemetry agent + collector that sends traces logs and metrics into Kafka for routing and in‑flight…
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More Power, Less Pain: Building an Internal Platform with CNCF ToolsDavid Sudia23m
A production internal platform on Kubernetes for a nine‑person org with a three‑person ops team, built and running with concrete choices: cert manager for TLS…
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Synchronization of Infrastructure Provisioning & Application DeploymentsBogdan Catana19m
Centralized Terraform code uses terraform workspaces to map staging and prod into one S3 backend and avoid repo sprawl while Harness runs a single templatized…
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Observability: Building Confidence & Answering the What, Where, HowJayne Groll, Charity Majors, Chris Riley35m
Defines observability as being able to understand any system state from outside and contrasts it with monitoring, names Honeycomb, Prometheus, Datadog and…
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Forget Production: Observability a Non-Production NecessityShlomo Bielak13m
Claims that observability belongs in non-production by building impermanent non-production pipelines that spin up prod‑duplicates, slam them with 10x load…
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Pragmatic Incident Response: Lessons Learned from FailuresBobby Ross15m
Advice is specific: run focused postmortems for small incidents and track the ratio of retros to declared incidents (ten minor incidents with two retros is a…
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Simplifying and Scaling Software DeliveryJyoti Bansal44m
Claims a CI/CD platform that uses AI/ML to pick tests and run only what matters: a demo with 40 junit tests→1 selected cuts a sample cycle by five minutes and…
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Empowerment in the Software Delivery LifecycleAlan Shimmel, Cheryl Razzell, Jenny Donnelly, Martin Reynolds52m
Concrete practices decide whether to watch: a job family matrix that maps IC and leadership paths, explicit parallel IC and manager tracks, running hackathons…
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Increasing Visibility with Cloud CostsShelby Levin19m
Relativity instruments Kubernetes spend with Harness, beta testing and shaping features like perspectives, recommendations, budgets and anomaly detection so…
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Every Dollar Counts: Shifting Cost Management LeftKen Clark17m
Argues that cost control improves when organizations shift cost management left, embedding cost signals into build and release pipelines and pull requests so…
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Building Monetary Confidence in the CloudBhargav Brahmbhatt, Chaya Tanna, Corey Wagehoft43m
Teams moving VMs to Kubernetes report real results: a homemade containerization calculator models spend and forecasts savings, a misprovisioned DB once costs…
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Reducing Release Risk with Feature Flag ManagementSam Hall14m
Company replaces risky deploys with feature flags using Harness to serve multi-variant frontend experiments on a jQuery kiosk view and to avoid blue‑green…
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Leveraging Distributed Tracing in Kubernetes & Containerized EnvironmentsChinmay Gaikwad14m
Distributed tracing plus auto-instrumentation in Kubernetes and containers claims to cut noise by building service maps and letting teams correlate metrics…
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More Isn't BetterMike Koleno19m
Claim: abundance of tool choice slows cloud transformation and increases regret. Recommendation: pick multi‑purpose, cross‑cloud, simple solutions. Examples…
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Purposeful Transformation With Data-Driven DecisionsJuan Orlandini16m
Claim: IT must adopt a developer-forward stance and treat platform work as an enduring product rather than finite projects. The team shows value by using value…
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DevOps Culture at AmazonSerge Shevchenko21m
Amazon describes a concrete DevOps practice: you build it you run it with small two‑pizza teams, microservices each owning their data and APIs, and multiple…
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Forget Production: Observability a Non-Production NecessityShlomo Bielak13m
Argues observability belongs in ephemeral preprod systems not just production and shows a CI/CD pipeline that creates impermanent non-production environments…
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