InfoQ Homepage Architecture Content on InfoQ
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Using a DDD Approach for Validating Business Rules
If the goal is to create software applications that emulate the behavior of domain experts, then the challenge is in capturing and implementing the business rules. This is more a factor of good knowledge management than it is raw coding ability. Following techniques from Domain-Driven Design can provide a structure for effectively validating and implementing business rules in a system.
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State at the Edge: an Interview with Peter Bourgon
Building upon topics in his talk at QCon London, Peter Bourgon answers questions about edge computing, distributed data, and the complexity of synchronization.
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Running Axon Server - CQRS and Event Sourcing in Java
Axon Server Standard Edition is an Open Source, purpose-built solution supporting distributed CQRS and Event Sourcing applications written in Java with the Axon Framework. Part one in this series discusses running it locally and explores aspects of Administration/Security and Configuration. It also discusses more advanced features available with the Enterprise Edition - Clustering/Multi-Contexts.
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Adoption of Cloud Native Architecture, Part 2: Stabilization Gaps and Anti-Patterns
In this second part of cloud native adoption article series, the authors discuss the anti-patterns to watch out for when using microservices architecture in your applications. They also discuss how to balance between architecture and technology stability by not reinventing the wheel in every new application and at the same time, avoiding arbitrary reuse of technologies.
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The Past, Present, and Future of API Gateways
The edge has evolved from simple hardware load balancers to a full stack of hardware and software proxies that comprise API Gateways, content delivery networks, and load balancers. In this article, we’ll trace the evolution of the data center edge as application architecture and workflows have evolved.
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Edge Computing and Flow Evolution
Edge computing echoes science from the field of complex adaptive systems that explains scaling patterns. Understand this science to make better decisions about what to run "on the edge."
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Data Gateways in the Cloud Native Era
Data Gateways act like API Gateways but focus on access to the data aspect. A Data Gateway offers abstractions, security, scaling, federation, and contract-driven development features. There are many types of Data Gateways, from the traditional data virtualization technologies, to light GraphQL translators, cloud-hosted services, connection pools, and fully open source alternatives.
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Software Architecture and Design InfoQ Trends Report—April 2020
An overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2020, with a focus on fundamental architectural patterns, framework usage, and design skills.
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Failover Conf Q&A on Building Reliable Systems: People, Process, and Practice
One of the biggest engineering challenges associated with maintaining or increasing the reliability of a system is knowing where to invest time and energy. InfoQ recently sat down with several engineers and technical leaders who are involved with the upcoming Failover Conf virtual event, and asked their opinion on the best practices for building and running reliable systems.
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Is Edge Computing a Thing?
Edge Computing is definitely a thing, but the computing need not occur at the edge. Instead what is needed is an ability to compute (anywhere) on streaming data from large numbers of dynamically changing devices, in the edge environment. This in turn demands an architectural pattern for stateful, distributed computing.
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Graph Knowledge Base for Stateful Cloud-Native Applications
The lack of support for stateful cloud-native application behavior is a roadblock to many cloud use-cases. This article looks at graph knowledge-based systems which offer one approach to the design of next-generation platforms.
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Spring Boot Tutorial: Building Microservices Deployed to Google Cloud
In this tutorial, the reader will get a chance to create a small Spring Boot application, containerize it and deploy it to Google Kubernetes Engine using Skaffold and the Cloud Code IntelliJ plugin.