32:51
Testing the Endpoints of Your REST APIs
Tonya Cooper discusses how to test REST API endpoints through unit testing the controllers and integration testing with Postman.
50:59
Next Gen Networking Infrastructure with Rust
Carl Lerche shows how Rust’s “zero cost abstractions” can be leveraged to provide a networking platform that provides expressiveness, speed, and safety with tradeoffs between them.
57:18
Goodbye REST APIs. Hello GraphQL!
Cory House discusses GraphQL, what makes it attractive, how GraphQL integrates with React, Angular, Vue and others, and how to migrate from REST APIs.
39:33
Your Project Behaves Like a Hurricane. Forecast It Like One
Daniel Vacanti discusses using techniques like Monte Carlo Simulation and Continuous Forecasting to make projects more predictable.
33:20
Engineering Systems for Real-Time Predictions @DoorDash
Raghav Ramesh presents DoorDash’s thoughts on how to structure ML systems in production to enable robust and wide-scale deployment of ML, and shares best practices in designing engineering tooling.
49:09
Scaling Push Messaging for Millions of Devices @Netflix
Susheel Aroskar talks about Zuul Push - a massively scalable push notification service that handles millions of "always-on" persistent connections from all Netflix apps.
40:52
Functional Rust - An Exploration
Lisa Passing discusses how to write functional code in Rust.
49:57
Next Gen Networking Infrastructure with Rust
Carl Lerche shows using Rust to provide a networking platform that provides expressiveness, speed, and safety, exemplifying with Linkerd, a “service mesh” proxy for cloud native applications.
50:45
Documenting RESTful APIs with Spring REST Docs
Jenn Strater introduces Spring REST Docs and its test-driven approach to RESTful API documentation.
39:42
Decentralized Governance for the Masses
Kent Dahlgren discusses the designs and approaches chosen in developing a decentralized governance solution for people with low income and modest resources.
38:30
WebAssembly (And the Death of JavaScript?)
Colin Eberhardt looks at what's wrong with the way people are using JavaScript today and why they need WebAssembly.
36:10
Tools to Put Deep Learning Models in Production
Sahil Dua discusses how Booking.com supports data scientists by making it easy to put their models in production, and how they optimize their model prediction infrastructure for latency or throughput.
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FEATURED CONTENT:
The Architecture of a Real-Time Operational DBMS
Years ago, Aerospike’s engineering team set out to build a distributed database system that handles real-time workloads smoothly and provides a high level of fault tolerance. Learn how they built a high-performance, distributed database to handle the needs of today’s interactive online services.
A NoSQL Database Architecture for Real-Time Applications
Learn about a new kind of NoSQL database architecture that’s simple, cost-effective and that delivers speed at scale for real-time applications. This new architecture delivers predictable performance while using up to ten times fewer servers than most other databases.
When, Where & Why to Use NoSQL?
Download this white paper and learn the biggest challenges of managing big data, database requirements for dealing with big data, and how NoSQL databases address these challenges.
Maximizing the Value of Your Operational Data
This paper introduces key technologies that Aerospike clients are using to modernize their data management infrastructures, process large volumes of operational data in real time, and realize rapid read/write speeds without extensive tuning or a separate data cache.
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