QCon New York

Channel: InfoQ

Videos (83)

1 — Panel: Which Java Vendor Should I Choose?
2 — Maximizing Performance with GraalVM
3 — Java Futures, 2019 Edition
4 — Invest in Your Java Katalogue
5 — Solving New School with the Old School (Clojure)
6 — Efficient Fault Tolerant Java with Aeron Clustering
7 — Effective Java, Third Edition - Keepin' it Effective
8 — The Java Evolution of Eclipse Collections
9 — Zero to Production-Ready in Minutes
10 — Servlet vs Reactive Stacks in Five Use Cases
11 — Are We Really Cloud-Native?
12 — MLflow: An Open Platform to Simplify the Machine Learning Lifecycle
13 — How Much Does It Cost to Attack You?
14 — EBtree - Design for a Scheduler and Use (Almost) Everywhere
15 — Not Sold Yet, GraphQL: A Humble Tale from Skeptic to Enthusiast
16 — Introduction to gVisor: Sandboxed Linux Container Runtime
17 — Next Gen Networking Infrastructure with Rust
18 — Chick-Fil-A: Milking the Most out of 1000's of K8s Clusters
19 — Forced Evolution: Shopify's Journey to Kubernetes
20 — BLESS: Better Security and Ops for SSH Access
21 — Engineering Systems for Real-Time Predictions @DoorDash
22 — Semi-Supervised Deep Learning on Large Scale Climate Models
23 — Peloton - Uber's Webscale Unified Scheduler on Mesos & Kubernetes
24 — Practical DDD: Bounded Contexts + Events = Microservices
25 — PID Loops and the Art of Keeping Systems Stable
26 — Scaling Infrastructure Engineering at Slack
27 — No Microservice Is an Island
28 — Serverless + Containers = Modern Cloud Applications
29 — Lyft's Envoy: Embracing a Service Mesh
30 — Complex Event Flows in Distributed Systems
31 — Serverless Patterns and Anti-patterns
32 — Scaling Push Messaging for Millions of Devices @Netflix
33 — Designing Events-First Microservices
34 — Take Two: Evolving Microservice Architectures
35 — What do you know about testing in production?
36 — Presidential Campaigns & Immutable Infrastructure
37 — Managing Data in Microservices
38 — Let's Talk Locks!
39 — Ignite the Fire - How Managers Can Spark New Leaders
40 — A Brief, Opinionated History of the API
41 — The Paved PaaS to Microservices at Netflix
42 — React+Redux at Scale
43 — Getting Real about Managing up
44 — Breaking Hierarchy - How Spotify Enables Engineer Decision Making
45 — The Story of Teams Autonomy and Servant Leadership
46 — The Effective Remote Developer
47 — Refactoring Organizations - A Netflix Study
48 — Rust's Journey to Async/Await
49 — Why Bother with Kotlin - Not Just Another Language Tour
50 — Java 11 - Keeping the Java Release Train on the Right Track
51 — Choose Your Own Adventure: Chaos Engineering
52 — The Rise of the Serverless Data Architectures
53 — From Open Source to SaaS: the Journey of ClickHouse
54 — Reliable Architectures through Observability
55 — How to Build a Reliable Kafka Data Processing Pipeline, Focusing on Contention, Uptime and Latency
56 — Hard Problems in Front-End Platforms
57 — Needle in a 930M Member Haystack: People Search AI @LinkedIn
58 — The Many Facets of “Identity”
59 — Architecting a Production Development Environment for Reliability
60 — The Joy of Building Large Scale Systems
61 — Wasm: What is Universal Compute Good For?
62 — PostgresML: Leveraging Postgres as a Vector Database for AI
63 — Back to Basics: Scalable, Portable ML in Pure SQL
64 — Demystifying Kubernetes Platforms with Backstage
65 — A Bicycle for the (AI) Mind: GPT-4 + Tools
66 — Making 'npm install' Safe
67 — Building a High-Performance Networking Protocol for Microservices
68 — The Not-So-Straightforward Road from Microservices to Serverless
69 — Streaming from Apache Iceberg - Building Low-Latency and Cost-Effective Data Pipelines
70 — Modern WAF Bypass Scripting Techniques for Autonomous Attacks
71 — Opportunities and Pitfalls of Event-driven Utopia
72 — Conquering Microservices Complexity @Uber with Distributed Tracing
73 — From Research to Production with PyTorch
74 — Rust, WebAssembly, and Javascript Make Three: An FFI Story
75 — No Moore Left to Give: Enterprise Computing after Moore's Law
76 — Using Chaos to Build Resilient Systems
77 — Serving Millions of Customers Serverless at CapitalOne
78 — Design Microservice Architectures the Right Way
79 — Debugging Microservices: How Google SREs Resolve Outages
80 — ML Data Pipelines for Real-Time Fraud Prevention @PayPal
81 — Functional / Microservices in Real-Time Financials
82 — Digital Assets: Lessons in Securing What’s Next
83 — Scaling Event Sourcing for Netflix Downloads