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Topics

Development

Java
Kotlin
.Net
C#
Swift
Go
Rust
JavaScript

Featured in Development

Zero Waste, Radical Magic, and Italian Graft – Quarkus Efficiency Secrets

Holly Cummins discusses some of the technical underpinnings of Quarkus’s efficiency, providing advice for those using or considering Quarkus.

All in development

Architecture & Design

Architecture
Enterprise Architecture
Scalability/Performance
Design
Case Studies
Microservices
Service Mesh
Patterns
Security

Featured in Architecture & Design

Lessons Learned in the Financial Market About Performance and Observability in Front-end Projects

Jessica Felix discusses how to navigate the intricate balance between performance and observability, and the challenges of maintaining equilibrium.

All in architecture-design

AI Infrastructure

Big Data
Machine Learning
NoSQL
Database
Data Analytics
Streaming

Featured in AI, ML & Data Engineering

Leveraging Open-source LLMs for Production

Andrey Cheptsov discusses the practical use of open-source LLMs for real-world applications, weighing their pros and cons, highlighting advantages like privacy and cost-efficiency.

All in ai-ml-data-eng

Culture & Methods

Agile
Diversity
Leadership
Lean/Kanban
Personal Growth
Scrum
Sociocracy
Software Craftmanship
Team Collaboration
Testing
UX

Featured in Culture & Methods

5 Steps to Building a Personal Brand for Elevating Your Influence

Pablo Fredrikson discusses how to grow the personal brand to land better opportunities and have a greater impact.

All in culture-methods

DevOps

Infrastructure
Continuous Delivery
Automation
Containers
Cloud
Observability

Featured in DevOps

Efficient DevSecOps Workflows With a Little Help From AI

Michael Friedrich tells a story about experienced pain points, wasted hours debugging and solving, and learning how a little help from AI makes DevSecOps workflows efficient again.

All in devops

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The Software Architects' Newsletter

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Andreas Polze

Profile page created Apr 05, 2011

Summary

Development
Architecture & Design
Culture & Methods
AI, ML & Data Engineering
DevOps

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