InfoQ Homepage Architecture & Design Content on InfoQ
-
/articles/ai-devops-takeover/en/smallimage/logo-1633456324591.jpg)
Is Artificial Intelligence Taking over DevOps?
AI tools are slowly replacing the role of the developer – just as DevOps did before – and will eventually supplant DevOps entirely. Assessing whether that prediction is true is tricky. In this article, we’ll look at what AI promises for the development process, assess whether it can really ever take over from human developers, and what DevOps is likely to look like in a decades’ time.
-
/articles/webassembly-dapr-wasmedge/en/smallimage/logo-1633065107977.jpg)
A Lightweight, Safe, Portable, and High-Performance Runtime for Dapr
Dapr (Distributed Application Runtime) has quickly become a very popular open-source framework for building microservices. It provides building blocks and pre-packaged services that are commonly used in distributed applications, such as service invocation, state management, message queues, resource bindings and triggers, mTLS secure connections, and service monitoring.
-
/articles/service-mesh-unnecessary-complexity/en/smallimage/logo-1632479954476.jpg)
How Unnecessary Complexity Gave the Service Mesh a Bad Name
There is immense value in adopting a service mesh, but it must be done in a lightweight manner to avoid unnecessary complexity. Take a pragmatic approach when implementing a service mesh by aligning with the core features of the technology, such as standardized monitoring and smart routing, and watching out for distractions.
-
/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.
-
/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.
-
/articles/reduce-technical-debt/en/smallimage/logo-1630929110479.jpg)
Technical Debt Isn't Technical: What Companies Can Do to Reduce Technical Debt
In this article, three experts discuss some of the key findings of the “State of Technical Debt 2021” report including the impact of technical debt on engineering teams, the pros and cons of dealing with maintenance work continuously, the future of technical debt and what each engineering teams can do to communicate the importance of dealing with technical debt to companies’ leadership.
-
/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.
-
/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.
-
/articles/auth-layer-auth0-hasura/en/smallimage/logo-1629735628854.jpg)
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.
-
/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.
-
/articles/java-16-new-features/en/smallimage/what-is-new-java-16-small-image-1628078662649.jpg)
What's New in Java 16
Java 16 was released in March of 2021 as a GA build meant to be used in production. And Java 17, the next LTS build, is scheduled to be released this September. Java 17 will be packed with a lot of improvements and language enhancements, most of which are a culmination of all the new features and changes that have been delivered since Java 11.
-
/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.