QCon San Francisco

Channel: InfoQ

Videos (98)

1 — How to Translate Technical Expertise into Strategic Influence
2 — 3 Reasons This Architect Certification is Different 🚀 #shorts
3 — AI is Speeding Up Code - But Your Deployment is Still Broken
4 — The Truth About Observability Metrics: Why Yours Are Lying To You
5 — Rust + Serverless: The High-Performance Myth EXPOSED
6 — The Hard Truth About Multi-Cloud: How We Built ONE Network at Google
7 — From Junior to Staff Engineer in 15 Years: The Hard Truths
8 — AR’s Hardest Problem? The Engineering Lesson from Google Maps
9 — Security Theater EXPOSED: End Dev Pain & Build BLISS
10 — Amazon's 3000% Growth: The Hard Truths of Engineering at Scale
11 — Rust for Web Apps? What Amazon's Carl Lerche Knows
12 — Platform Engineering: Past, Present, Future (Lessons for Leaders)
13 — Netflix ML Infra: Stop Bottlenecks! Scale Python Like Never Before
14 — GenAI Product Dev: What Google's PMs Know (You Don't!)
15 — Brain States: The Missing Skill in Senior Dev Influence
16 — Are Runtime Bugs Costing You Millions? The Shift-Left Solution
17 — Uber Eats Scaling Nightmare: How They Fixed Infinite Merchant Growth
18 — Kotlin to Rust: The Hard Truths of Rewriting a High-Scale Data Plane
19 — LLM Metrics: The Hard Truths Nobody Tells You About Production AI
20 — Architecting Resilient Systems with CDc, DDD, EDA & Team Topologies
21 — LLM Serving: The 4 Hard Truths No One Tells You
22 — Clojure's Untold Story: What 17 Years of Simplicity Teaches Senior Devs
23 — Legacy Code: Why Success Creates Your Biggest Tech Debt
24 — Ditch YAML Hell: Apple's Pkl Redefines Config as Code
25 — Architect Your Influence: Career Growth for Tech Leaders
26 — Cellular Architecture in Action: The Slack Story
27 — Generative AI Productivity: Architect's Wins & Pitfalls
28 — Is Your Architecture a Geocentric Mess? Slack's Journey to Simplicity
29 — Data Streaming: The Hard Truths Senior Engineers Miss (Patterns & AI)
30 — Startup Dev Productivity: Forget Big Tech Best Practices!
31 — Cost-Saving Autoscaling in OpenSearch: Architect's Guide
32 — Self-Hosting LLMs: Architect's Guide to When & How
33 — Legacy Code Survival Guide: From Dread to Done Right
34 — The Senior Software Engineer's Guide to Calculated RISCs
35 — GitHub Copilot's Latency Secrets: How They Built Sub-200ms Autocomplete
36 — High-Performing Teams: It's NOT Just About Code
37 — Interview with Pablo Fredrikson, Principal SRE at @Harness, #QConSF 2024 Speaker, and YouTuber
38 — Scaling LLM Batch Inference: Ray Data & vLLM for High Throughput
39 — Stop Coding? Prompt Engineering's Future for Developers
40 — Beyond Code: Building a Personal Brand To Boost Your Career
41 — Five Steps to Building a Personal Brand for Elevating Your Influence
42 — LIquid: a Large-Scale Relational Graph Database
43 — Fast, Scalable, Secure: WebAssembly and the Future of Isolation
44 — Understanding Architectures for Multi-Region Data Residency
45 — Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
46 — Effective Performance Engineering at Twitter-Scale
47 — Architecting for High Availability in the Cloud with Cellular Architecture
48 — JavaScript: Empowered by Rust
49 — Million Dollar Lines of Code: an Engineering Perspective on Cloud Cost Optimization
50 — How Netflix Really Uses Java
51 — Late Data? Netflix's Iceberg + Maestro Solves Batch ETL Chaos
52 — Why Most ML Projects Fail (and How to Fix It)
53 — Revolutionizing DevOps: How Framework-Defined Infrastructure (FdI) Transforms IaC
54 — Generative AI and Organizational Resilience
55 — CI/CD beyond YAML: The Evolution Towards Pipelines-as-Code
56 — Generative Search: Practical Advice for Retrieval Augmented Generation (RAG)
57 — Kubernetes without YAML
58 — Relational Data at the Edge
59 — How to Get Tech-Debt on the Roadmap
60 — Streamlining Cloud Development with Deno
61 — Redesigning OLTP for a New Order of Magnitude
62 — NIST 800-207A: Implementing Zero Trust Architecture
63 — AWS Lambda Under the Hood
64 — How Netflix Ensures Highly-Reliable Online Stateful Systems
65 — Six Things I've Learned as a Manager I Wish I Knew Before
66 — Declarative APIs in an Imperative World
67 — Managing Failure Modes in Microservice Architectures
68 — Sorbet: Why and How We Built a Typechecker for Ruby
69 — Java 8 LTS to the Latest - a Performance & Responsiveness Perspective
70 — Understand the Trade-offs of Using Compilers for Java Applications
71 — High Resolution Performance Telemetry at Scale
72 — Continuous Monitoring with JDK Flight Recorder (JFR)
73 — Security and Compliance Theater
74 — Programming the Cloud: Empowering Developers to Do Infrastructure
75 — AWS Cloud Development Kit (CDK)
76 — Monitoring and Tracing @Netflix Streaming Data Infrastructure
77 — Swift for Tensorflow
78 — Kafka Needs No Keeper
79 — Data Mesh Paradigm Shift in Data Platform Architecture
80 — ML's Hidden Tasks: A Checklist for Developers When Building ML Systems
81 — Machine Learning 101
82 — Controlled Chaos: Taming Organic, Federated Growth of Microservices
83 — Self-Driving Cars as Edge Computing Devices
84 — Architectures That Scale Deep - Regaining Control in Deep Systems
85 — User & Device Identity for Microservices @ Netflix Scale
86 — Exploiting Common iOS Apps’ Vulnerabilities
87 — Privacy Architecture for Data-Driven Innovation
88 — Passion, Grace, & Fire - The Elements of High Performance
89 — Coding Without Complexity
90 — Does Java Need Inline Types? What Project Valhalla Can Bring to Java
91 — Mistakes and Discoveries While Cultivating Ownership
92 — Machine Learning on Mobile and Edge Devices with TensorFlow Lite
93 — ML in the Browser: Interactive Experiences with Tensorflow.js
94 — Practical Change Data Streaming Use Cases with Apache Kafka & Debezium
95 — Culture and the Games People Play
96 — Evolution of Edge @Netflix
97 — The Common Pitfalls of Cloud Native Software Supply Chains
98 — Linux Foundation's Project EVE: a Cloud-Native Edge Computing Platform