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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

Hiring and Retaining Great People in the New World of Working

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Sarah Hawley of Growmotely about employing and retaining people in the remote and hybrid working world.

All in culture-methods

DevOps

Featured in DevOps

Hard-Won Lessons from the Trenches: Failure Modes of Platform Engineering — And How to Avoid Them

Platform Engineering is a hot topic with many orgs hoping to reap the benefits. However, it is easy to go astray. This article reviews the common pitfalls of building a platform and how to avoid them.

All in devops

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Adam Sypniewski

Profile page created Mar 03, 2022

CTO at Deepgram

Summary

Adam Sypniewski joined Deepgram as AI Scientist. He worked in applied AI for three years after college. Adam got his PhD deducing galactic distances using machine learning.

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

Hiring and Retaining Great People in the New World of Working

Hard-Won Lessons from the Trenches: Failure Modes of Platform Engineering — And How to Avoid Them

Helpful links

Choose your language

Adam Sypniewski

Summary

Go 1.20 Improves Compiler Performance and Extends Coverage Support

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

Article Series: PHP 8.x

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

How to Analyze Behavior and Influence Behavior Change with the ABC Model

Hiring and Retaining Great People in the New World of Working

Sustaining Fast Flow with Socio-Technical Thinking

OpenAI Releases an Advanced Classifier to Distinguish AI and Human Writing Styles

Microsoft Open Sources AI Prompt Optimization Toolkit LMOps

Stanford Researchers Present AI Framework to Implement and Validate Complex Algorithms

Hard-Won Lessons from the Trenches: Failure Modes of Platform Engineering — And How to Avoid Them

Software Security Report Finds JavaScript Applications Have Fewer Flaws Than Java and .NET

gopaddle, a Low Code Internal Developer Platform for MicroK8s and Edge

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Adam Sypniewski

Summary