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Development

Featured in Development

Designing for Concurrency: the Hilbert’s Hotel Problem in Go

In this article, we want to show how achieving concurrency is the result of an appropriate design. A concurrent solution may turn out to be more elegant and easier to reason about than an equivalent sequential algorithm. To illustrate these concepts we use, as an example, the Hilbert’s Hotel mathematical problem.

All in development

Architecture & Design

Featured in Architecture & Design

Expanding GraphQL Federation at Netflix with Tejas Shikhare

GraphQL can be a great choice for client to server communication, but it requires investment to maximize its potential. Netflix operates a very large, Federated GraphQL platform. Like any distributed system, this has some benefits, but also creates additional challenges. In this episode, Tejas Shikhare explains the pros and cons of scaling GraphQL adoption.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud

Kai Waehner explores different architectures and their trade-offs for transactional and analytical workloads. Real-world examples include financial services, retail, and the automotive industry.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Sustaining Fast Flow with Socio-Technical Thinking

Nick Tune shares principles and practices from the fields of DDD and Team Topologies that leaders can apply to create high-performing teams and sustainable flow throughout their organization.

All in culture-methods

DevOps

Featured in DevOps

If Twitter Doesn’t Have a Staging Environment, Should Anyone?

With Twitter revealing they do not have a staging environment, how important is staging to delivering quality? When so many tasks are shifting to the developer these days and no one best developer approach fits all, how do dev teams determine the best developer methodology for them and their company?

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Development

A Distributed Systems Approach to Decarbonizing the Grid

Astrid Atkinson walks through how technologies like real time monitoring, software load balancing and fleet orchestration can help address one of the greatest challenges of our lifetimes.

Astrid Atkinson
on May 05, 2022

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Topics

Designing for Concurrency: the Hilbert’s Hotel Problem in Go

Expanding GraphQL Federation at Netflix with Tejas Shikhare

Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud

Sustaining Fast Flow with Socio-Technical Thinking

If Twitter Doesn’t Have a Staging Environment, Should Anyone?

Helpful links

Choose your language

Presentations

A Distributed Systems Approach to Decarbonizing the Grid

Designing for Concurrency: the Hilbert’s Hotel Problem in Go

Article Series: PHP 8.x

The Six Ways of Optimizing WebAssembly

Avoid Being an "Ivory Tower" Architect: the Relationship between Architects and Their Organisation

Expanding GraphQL Federation at Netflix with Tejas Shikhare

No Next Next: Fighting Entropy in Your Microservices Architecture

Sustaining Fast Flow with Socio-Technical Thinking

Test Automation Requires a Strategy and Clean Code

Your Tech Stack Doesn’t Do What Everyone Needs It To. What Next?

Stanford Researchers Present AI Framework to Implement and Validate Complex Algorithms

Google Unveils MusicLM, an AI That Can Generate Music from Text Prompts

DeepMind Announces Minecraft-Playing AI DreamerV3

Kubefirst Platform Improves Local Experience and Password Management

CNCF Kicks Off Cloud Native SecurityCon NA 2023

Slack's Lessons Learned from Supporting Highly Regulated Workloads on AWS GovCloud

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