DevOpsDays Austin 2025
2025-05-01..2025-05-02
Austin, United States
| title | author | length |
|---|---|---|
| Failing to Learn vs Learning to Fail | Sasha Czarkwoski | 45m |
Argues that intelligence and skills reliably increase with deliberate practice and the right feedback rather than fixed talent, citing the 10,000‑hour nuance… | ||
| Introspecting your machines with osquery | Ian Littman | 22m |
osquery exposes system state as SQLite tables so you can run SQL against hardware, packages, processes, logs and network connections; the project has 270+ SQL… | ||
| Open Source Licensing in a Business World | Carl Perry | 14m |
Four practical license buckets: permissive (MIT/Apache/BSD), copyleft (GPL/LGPL — GPLv2 tolerated, GPLv3 avoided), trialware/dual license (Redis ElasticSearch… | ||
| Driving cost optimization at scale | Deeja Cruz | 15m |
Datadog runs a 2023 program that maps x86-to-ARM instance types, computes cost‑per‑core savings, and integrates Kubernetes CPU requests, Workday ownership and… | ||
| Give up! Just stop patching vulnerabilities! | Nate Sanders, mauvehed | 22m |
40,000 new CVEs in a month and a trend toward >100,000 per year make patching hopeless, with ~60% of breaches tied to known but unfixed flaws. Root-cause work… | ||
| Vim in the Modern Era: Leveraging a Small Editor for Big Results | Alexander Smith | 12m |
Argues that Vim stays useful for containerized and low‑resource workflows, claiming a typical Vim process uses about 12 MB of RAM versus ~493 MB for VS Code… | ||
| Private AI at Home: Secure, Open-Source, and Fully Yours | Paul C Czarkowski | 24m |
Step-by-step guide to running a private assistant at home using open-source models served by Ollama, image generation via Stable Diffusion, and voice/home… | ||
| My Transition from Platform Engineer to Platform Product Manager | Noe Lorona | 13m |
Platform engineering background of six years and nearly three years on platform teams translates into running Kubernetes clusters, writing infra in Terraform… | ||
| AI-Driven Incident Resolution – Hype or Reality | Sylvain Kalache | 05m |
Claims that AI cuts MTTR dramatically and that FBAR (2011) and Dropbox Naoru pioneered self-healing set the historical baseline, while modern LLM-powered tools… | ||
| Building Your (Local) LLM Second Brain | Olivia Buzek | 05m |
Claims a fully local, private “second brain” runs on a laptop using OSS components and low energy, and demonstrates it actually works by extracting action… | ||
| Dependency Demons | Mya Jaye | 05m |
Explains how modern projects tracked in package.json/package-lock.json balloon into deep transitive trees that cause duplicated libraries, version conflicts… | ||
| Fostering Personal Growth Through Failure and Experimentation | Krishiv Piduri | 05m |
Chronicles failing dead last at robotics competitions then using each loss to improve, learning Python to break problems into steps, and building a home lab by… | ||
| Full Stack Isn't Enough - The Rise of the Full Product Developer | Patrick Robinson | 05m |
Claims that developers must pair coding with product thinking and DevOps practices to make smarter trade-offs and measurable value. Specific tools offered… | ||
| Getting Started Getting Started with Containers | Garo Yeriazarian | 05m |
Containers provide a reproducible packaging flow: Dockerfiles and OCI registries define how code, runtime and layers are built, shipped and versioned; SBOMs… | ||
| Egoless Engineering | Dan McKinley | 25m |
Argues that running teams at 100% utilization and hoarding responsibilities corrodes execution, using a 20‑person startup that added a useless Python middle… | ||
| How Did We Get Here? Looking to the past to transform the future of IT | Angela Runge | 19m |
Argument: past hardware and city building shape modern cloud choices. Traces from punch cards to magnetic reels to hard disks to rented data center racks… | ||
| AI/ML Networking Challenges: The Fast and the Finicky! | Lerna Ekmekcioglu | 19m |
Shows that DeepSpeed/PyTorch LLM training hinges on RDMA fabrics like RoCE or InfiniBand, with collective comms mapped to per‑Q‑pair sockets; demo cluster hits… | ||
| How to Succeed for Outsiders and Newbs | Silver Bowen | 05m |
A practical method for getting hired and staying hired that reduces career growth to repeatable steps: adopt continuous improvement and run one clear strength… | ||
| Save over 70% on your sqs-triggered lambda cost | Di Huynh | 05m |
Migrates SQS-triggered, interrupt-tolerant Lambdas to Fargate Spot and reports an actual 84% cost savings on a pilot conversion. Uses spot instances for queue… | ||
| Hearing and Being Heard - Getting the Entire Team to Speak | Daniel Ward | 19m |
Research by Anita Woolley (2007–08) finds group performance ties to three factors not individual IQ: social sensitivity (measured by the Reading the Mind in… | ||
| Sociotechnical Platform Engineering | Chris Corriere | 17m |
Argues pipelines are explicit value streams and delivers a reusable value‑stream map plus Wardley-style dependency maps that map dev → UAT → prod and where… | ||
| JWTs Explained | Kirsten Hunter | 19m |
Explains JWT internals: header.payload.signature with HMAC SHA-256 or RSA signing, Base64URL encoding, and use of claims (use opaque UUIDs not PII). Shows the… | ||
| Platform Engineers assemble! Create your FaaS Platform using WASM | Graziano Casto | 22m |
Claims a practical FaaS platform built with wasmCloud and WebAssembly that replaces full containers and Kubernetes for many jobs. Pipelines produce… | ||
| Scaling DevOps in Complex Environments: Challenges, Failures, and Successes | Chaitanya Rahalkar | 18m |
Scaling DevOps across large, distributed teams reports concrete numbers and tools: 72% legacy of enterprise architectures persist, knowledge workers waste 12… | ||
| From Bare Metal to Abstraction: A Tale to the Heart of Cloud-Native Computing | Jeremy Meiss | 22m |
Thirty years of infrastructure evolution condensed into concrete specifics: manual racking and ISDN/T1-era networking, BGP born on napkins in 1989, and three… | ||
| Learning from History: The Past as a Compass for Systems Engineers in the Age of AI | John Willis | 21m |
A historical arc links early rule‑based systems and Deep Blue to modern transformers and agentic workflows while claiming practical evidence of rapid… | ||
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