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Introduction to Kotlin's Coroutines and Reactive Streams

Krystian Rybarczyk looks into coroutines and sees how they facilitate asynchronous programming, discussing flows and how they make writing reactive code simpler.

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Architecture & Design

Featured in Architecture & Design

Chaos Engineering: The Path to Reliability

Kolton Andrus shares examples of what works, what doesn’t, and what the future holds in using Chaos Engineering to build reliability in a system.

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AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?

Databases have been around forever with the same shape: you make a request to your data and then you receive an answer. Now, stream processors came along with a different approach: data isn’t locked up, it is in motion. Understand how stream processors and databases relate and why there is an emerging new category of databases that focus on data that stays in place as well as data that moves.

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Culture & Methods

Featured in Culture & Methods

Emily Jaksch on the Myths, Misconceptions and Realities of the Millennial Generation

In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Emily Jaksch about the Myths, Misconceptions and Realities of the Millennial Generation.

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DevOps

Featured in DevOps

InfoQ Live Roundtable: Observability Patterns for Distributed Systems

The panelists explore how a sound observability strategy can help mitigate operational costs, and avoiding common pitfalls in monitoring distributed systems.

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Architecture & Design

GRIT Protocol Enables Distributed Transactions across Multi-Database Microservices

At the IEEE International Conference on Data Engineering (ICDE) 2019, eBay engineers presented a paper introducing a protocol for distributed ACID transactions using multiple databases, GRIT. Support for multiple databases is key to enabling GRIT's use across microservices, which are usually implemented in different languages and may use multiple underlying databases.

Sergio De Simone
on Oct 31, 2019 3

Topics

Introduction to Kotlin's Coroutines and Reactive Streams

Chaos Engineering: The Path to Reliability

Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?

Emily Jaksch on the Myths, Misconceptions and Realities of the Millennial Generation

InfoQ Live Roundtable: Observability Patterns for Distributed Systems

Helpful links

QCons from around the world

Choose your language

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GRIT Protocol Enables Distributed Transactions across Multi-Database Microservices

Microsoft Edge WebView2 Now Generally Available

Raspberry Pi 400 Is an ARM Linux Desktop PC

The Resurgence of Functional Programming - Highlights from QCon Plus

Chaos Engineering: The Path to Reliability

How Dropbox Created a Distributed Async Task Framework at Scale

How Netflix Scales Its API with GraphQL Federation

Emily Jaksch on the Myths, Misconceptions and Realities of the Millennial Generation

Kick-off Your Transformation by Imagining It Had Failed

Using Agile with a Data Science Team

Apple's ML Compute Framework Accelerates TensorFlow Training

Waymo Publishes Autonomous Vehicle Safety Report

Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?

InfoQ Live Roundtable: Observability Patterns for Distributed Systems

Automating Chaos Attacks

Instrumenting the Network for Successful AIOps

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