InfoQ Homepage Architecture Content on InfoQ
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Private vs. Public Blockchains for Enterprise Business Solutions
In this article, we’ll explore the benefits of using blockchain for business solutions, describing the differences between public and private versions of this technology in practice. We’ll also talk about a new type of chain — a hybrid of private and public chains which takes the benefits of both to create a truly versatile platform with no compromises.
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/articles/ballerina-cloud-native-programming/en/smallimage/-C2PlY3M-1631543404121.jpg)
Ballerina Swan Lake: 10 Compelling Language Characteristics for Cloud Native Programming
The Ballerina language has come a long way with significant improvements since the 1.0 release in 2019. The latest Swan Lake release further simplifies building and deploying cloud native apps.
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/articles/service-mesh-ultimate-guide-2021/en/smallimage/logo-1630968100375.jpg)
Service Mesh Ultimate Guide 2021 - Second Edition: Next Generation Microservices Development
Get up to speed on the adoption of service mesh. Learn how to deploy service mesh solutions in heterogeneous infrastructures and application/service connectivity.
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/articles/cloud-native-architecture-adoption-part3/en/smallimage/adoption-cloud-native-architecture-part-3-logo-small-1630316844867.jpg)
Adoption of Cloud Native Architecture, Part 3: Service Orchestration and Service Mesh
This part 3 article in Cloud Native Architecture Adoption series, explores service interaction in a microservices based architecture, typical challenges we experience in distributed systems without proper governance, and how patterns like service orchestration and service mesh can help address those challenges.
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/articles/pitfalls-patterns-microservice-dependency-management/en/smallimage/pitfalls-and-patterns-in-microservice-dependency-management-small-image-1630081386094.jpg)
Pitfalls and Patterns in Microservice Dependency Management
Silvia Esparrachiari shares stories on how a small change can impact a system, discussing the importance of having a broad view of a system to better understand how a change can impact a system. She presents three different scenarios that changed related to dependency management in an environment of microservices, all based on situations that she encountered while working at Google.
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Bootstrapping the Authentication Layer and Server with Auth0.js and Hasura
When you're trying to prototype an MVP for your app and want to start iterating quickly, the upfront cost of setting up authentication can be a massive roadblock. The authentication layer requires significant work, and you must always be on the lookout for security vulnerabilities.
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/articles/consistency-coupling-complexity/en/smallimage/consistency-coupling-complexity-s-1628577348640.jpg)
Consistency, Coupling, and Complexity at the Edge
Successful use of a microservices architecture requires maintaining a clear separation of concerns in the various layers and by employing design principles best suited to each layer. While RESTful API design has become the standard for microservices, it can cause problems at the UI layer. Alternatives such as the Backend-for-Frontend pattern using GraphQL can provide better separation of concerns.
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/articles/microservices-inside-out/en/smallimage/turning-microservices-inside-out-small-image-1627634447180.jpg)
Turning Microservices Inside-Out
Turning microservices inside-out means moving past a single, request/response API to designing microservices with an inbound API for queries and commands, an outbound APIs to emit events, and a meta API to describe them both. A database can be supplemented with Apache Kafka via a connecting tissue such as Debezium.
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/articles/excel-lambda-turing-complete/en/smallimage/excel-formula-language-becomes-turing-complete-small-image-1627571698217.jpg)
The Excel Formula Language Is Now Turing-Complete
The Excel team announced LAMBDA, a new feature that lets users define and name formula functions. LAMBDA functions admit parameters, can call other LAMBDA functions and recursively call themselves. With LAMBDA, the Excel formula language is Turing-complete: user-defined functions can thus compute anything without resorting to imperative languages (e.g., VBA, JavaScript).
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/articles/loosely-coupled-deep-learning-serving/en/smallimage/benefits-of-loosely-coupled-deep-learning-serving-small-image-1627300228992.jpg)
Benefits of Loosely Coupled Deep Learning Serving
As deep networks are becoming more specialized and resource-hungry, serving such networks on acceleration hardware in tight-budget environments is also becoming difficult. Instead of using API frameworks, loosely coupled components can be preferred as an alternative. They bring high controllability, easy adaptability, transparent observability, and cost-effectiveness when serving deep networks.
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/articles/github-monolith-microservices/en/smallimage/gitHub-journey-from-monolith-to-microservices-small-image-1627307383403.jpg)
GitHub’s Journey from Monolith to Microservices
This article explores GitHub's recent journey towards a microservices architecture. It takes a deeper look at GitHub’s historical and current state, goes over some internal and external factors, and discusses practical consideration points in how Github tackled their migration, including key concepts and best practices of implementing microservices architecture.
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/articles/cloud-consolidate-on-prem/en/smallimage/leverage-the-cloud-on-prem-systems-small-image-1626702451636.jpg)
Leverage the Cloud to Help Consolidate On-Prem Systems
A cloud model can be used to architecturally validate the possibility of consolidating multiple application servers into a smaller number of physical resources that will ultimately remain on-prem.