QCon Plus

Channel: InfoQ

Videos (100)

1 — WebAssembly: Open to Interpretation
2 — Modern Mobile Development: Native vs Cross-Platform
3 — Don't Fall into the Platform Trap - How to Think about Web3 Architecture
4 — Six Impossible Things
5 — Resiliency Superpowers with eBPF
6 — Full Stack Dart
7 — Reproducible Development with Containers
8 — The Programmer's Brain
9 — Software Engineering – Then, Now, and Next
10 — Improving eBay's Development Velocity
11 — Orchestration vs Choreography, a Guide to Composing Your Monolith
12 — Istio as a Platform for Running Microservices
13 — Airbnb at Scale: From Monolith to Microservices
14 — Modern API Development and Deployment, from API Gateways to Sidecars
15 — The After Party: Refactoring After 100x Hypergrowth
16 — Module Federation: the Federated Applications Revolution
17 — An Observable Service with No Logs
18 — Google’s Flutter: Mobile, Web & Desktop Frontends from 1 Codebase?
19 — No Next Next: Fighting Entropy in Your Microservices Architecture
20 — How Starling Built Their Own Card Processor
21 — Scaling GraphQL Adoption at Netflix
22 — Microfrontends Anti-Patterns: Seven Years in the Trenches
23 — Shopify’s Architecture to Handle the World’s Biggest Flash Sales
24 — Unblocked by Design
25 — Architecture for Flow with Wardley Mapping, DDD, and Team Topologies
26 — Authorization at Netflix Scale
27 — Microservices to Async Processing Migration at Scale
28 — Designing Event-Driven Architectures Using the AsyncAPI Specification
29 — A Standardized, Specification-Driven API Lifecycle
30 — Architecting for the Edge
31 — Present and Future of the Microservice Architecture
32 — Netflix Drive: Building a Cloud Native Filesystem for Media Assets
33 — WASI: a New Kind of System Interface
34 — How Facebook Is Bringing QUIC to Billions
35 — Getting the Most out of Sandboxing
36 — Event-Based Architectures: the Hard Parts
37 — Managing Tech Debt in a Microservice Architecture
38 — Airbnb at Scale
39 — Seven Ways to Fail at Microservices
40 — DevSusOps - Bringing Sustainability Concerns to Development and Operations
41 — Orchestrating Hybrid Workflows with Apache Airflow
42 — Open Machine Learning: ML Trends in Open Science and Open Source
43 — Taming the Data Mess, How Not to Be Overwhelmed by the Data Landscape
44 — Chaos Engineering Observability with Visual Metaphors
45 — Data Versioning at Scale: Chaos and Chaos Management
46 — Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud
47 — GraphQL Caching on the Edge
48 — The Unreasonable Effectiveness of Zero Shot Learning
49 — Machine Learning at the Edge
50 — Building & Operating High-Fidelity Data Streams
51 — Federated GraphQL to Solve Service Sprawl at Major League Baseball
52 — Panel: Future of Language Support for ML
53 — How Do You Distribute Your Database over Hundreds of Edge Locations?
54 — Robust Foundation for Data Pipelines at Scale - Lessons from Netflix
55 — Vulnerability Inbox Zero
56 — The State of APIs in the Container Ecosystem
57 — Slack’s DNSSEC Rollout: Third Time’s the Outage
58 — Hone Your Tools: Building Effective & Delightful Developer Experiences
59 — Languages of Cloud Native
60 — Application-Layer Encryption Basics for Developers
61 — Depending on Whether I Had Coffee or Not, Your Application May Be High Risk
62 — Making Applications Resilient with a Smart Application Aware Network
63 — Panel: Observability and Understandability
64 — This is What a Large-Scale Cloud Adoption Program Looks Like
65 — Using Shared Memory-Mapped Files in Java
66 — Staying JDK: Current in Production
67 — Project Loom: Revolution in Java Concurrency or Obscure Implementation Detail?
68 — Securing Java Applications in the Age of Log4Shell
69 — Understanding JIT Optimizations by Decompilation
70 — Level up Your Java Performance with TornadoVM
71 — Java 17: the Path, Features, Tips and Tricks Panel
72 — Kotlin is *Way* More Than Just Android
73 — Java & JVM Panel
74 — Differentiable Programming in Kotlin
75 — Techniques for Maintainable Quarkus Applications
76 — The Secret to Finding Impactful Projects to Land a Staff-Plus Engineer Role
77 — 24/7 State Replication
78 — Infrastructure as Code: Past, Present, Future
79 — Azure Cosmos DB: Low Latency and High Availability at Planet Scale
80 — Tesla's Virtual Power Plant
81 — Magic Pocket: Dropbox’s Exabyte-Scale Blob Storage System
82 — Dark Side of DevOps
83 — Amazon DynamoDB: Evolution of a Hyperscale Cloud Database Service
84 — API Evolution without Versioning
85 — Honeycomb: How We Used Serverless to Speed up Our Servers
86 — From Zero to a Hundred Billion: Building Scalable Real-Time Event Processing at DoorDash
87 — Tidy First? Kent Beck on Refactoring
88 — Dark Energy, Dark Matter and the Microservices Patterns?!
89 — Log4Shell Response Patterns & Learnings from Them
90 — Sidecars, eBPF and the Future of Service Mesh
91 — The Engineer/Manager Pendulum
92 — Blazing Fast, Minimal Change - Speed up Your Code by Refactoring to Rust
93 — Everyone Can Be a Full-Stack Engineer
94 — Understanding Java through Graphs
95 — Java Flight Recorder as an Observability Tool
96 — Securing Microservices: Preventing Vulnerability Traversal
97 — Pump It Up! Actually Gaining Benefit from Cloud Native Microservices
98 — How Community Engagement Can Boost Your Staff-Plus Career
99 — API Showdown: REST vs. GraphQL vs. gRPC – Which Should You Use?
100 — Data Pipelines & Data Mesh: Where We Are and What the Future Looks Like