InfoQ Homepage Architecture & Design Content on InfoQ
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How to Architect Software for a Greener Future
In this article, Sara Bergman shares tips, tricks, and advice on architecting software for a greener future. Sara has been discussing this topic for several years.
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The Set Piece Strategy: Tackling Complexity in Serverless Applications
In this article, senior engineering manager and AWS Serverless hero Sheen Brisals examines how the characteristics of serverless such as optimization, robust availability and scalability influence us to think in a new way of architecting and evolving modern applications as set pieces, a concept from moviemaking. The contents of this article were presented during QCon London 2024.
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Ownership and Human Involvement in Interface Design
Good interface design is a complex engineering challenge with many dimensions. This article explores the key dimensions of Ownership and whether a Human is involved.
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Elevating Kubernetes Logging for Enhanced Observability
In this article, we will explore the challenges, strategies, and best practices that will help you achieve seamless log management in your Kubernetes environment.
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Optimizing Spring Boot Config Management with ConfigMaps: Environment Variables or Volume Mounts
Spring Boot stands out as a viable framework for its agility and streamlined workflow. Yet, effective configuration management remains a pivotal factor influencing deployment efficiency and ongoing maintenance. ConfigMaps, a feature in Kubernetes, provides configuration strategies for Spring Boot applications.
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Million Dollar Lines of Code - an Engineering Perspective on Cloud Cost Optimization
A single line of code can shape an organization's financial future. Erik Peterson, the CTO and founder at CloudZero, presented an engineering perspective on cloud cost optimization at QCon San Francisco.
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Architectural Trade-Offs: the Art of Minimizing Unhappiness
To architect is to be a frustrated perfectionist; a good architecture minimizes this unhappiness by making trade-offs that can be lived with. The main skill in architecting is making trade-offs. These trade-offs reflect the most important and difficult decisions a team will make about its architecture.
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Introducing the RIG Model - the Puzzle of Designing Guaranteed Data-Consistent Microservice Systems
The RIG model formulates three rules for a saga call chain. Using a gamified RIG tool, consisting of three main RIG puzzle pieces, teams can model a microservice system that guarantees eventual data consistency.
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Accelerating Technical Decision-Making by Empowering ICs with Engineering Strategy
Carta harnesses the power of a small group of senior engineers called navigators to bridge the gap between global strategy and local decision-making, using a written engineering strategy. Navigators replace a need for consensus and boost velocity by combining technical context, domain context, strategic alignment, and judgment to make engineering decisions quickly.
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The Three As of Building A+ Platforms: Acceleration, Autonomy, and Accountability
Platform engineering is not just a technical problem to solve nor an end in itself. In this article, I will share key lessons I have learned while building and delivering three platforms over the last two decades from VMware and Stripe to Apollo GraphQL, including where we got stuck, how we unblocked ourselves, and what ultimately led to the right outcomes for our users and the business.
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How Netflix Ensures Highly-Reliable Online Stateful Systems
Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix.
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Unraveling the Enigma: Debunking Myths Surrounding Lambda Cold Starts
This insightful InfoQ article dispels the common myths surrounding Lambda Cold Starts, a widely discussed topic in the serverless computing community. As serverless architectures continue to gain popularity, misconceptions about Lambda Cold Starts have proliferated, often leading to confusion and misguided optimization strategies.