Migrating an existing system towards microservices is very different from building a new micoservices-based system, Joris Kuipers, architect at Trfork Amsterdam, claims in a presentation describing an ongoing process of refactoring a large monolithic application, based on CQRS using Axon framework, towards a microservices architecture.
Vaadin, a polyglot framework for building web apps with UI components, released version 1.1 of their Vaadin Spring project featuring bug fixes and a new SpringNavigator class to enhance management of Vaadin Views. Matti Tahvonen, product marketing manager at Vaadin, spoke to InfoQ about this latest release including a discussion on how UIs fit into microservices.
Domain-Driven Design (DDD) is a great technique bringing designs closer to the domains we are working in, but too often we make early decisions with a focus on structure, which is not the intention of DDD. Instead we should start with the events in a domain, Russ Miles claims when describing the advantages of going “events-first” when building microservices.
This past November, Microsoft launched, what it is calling, the Industry’s First Cloud Bot-as-a-Service platform. The Azure Bot Service is powered by the Microsoft Bot Framework and has a serverless compute back-end built on Azure Functions. Using the Bot service allows developers to build conversational applications that plug into many popular chat applications.
Enterprise cloud usage has been in the forefront of big players for the past few years. Amazon, IBM, Google and Microsoft are expanding their offerings to serve better the enterprise users and their needs. Google announced a set of machine learning based services focused on enterprise users.
Google has introduced Actions on Google which allow developers to build Google Assistant-based conversational apps, including integration with the Google Home device.
At the Gradle Summit Conference this year, Gradle formally introduced the Build Scan tool, part of their new Cloud Services, for collaborating with project build information with developers. InfoQ spoke to Chris Beams, director of marketing at Gradle, about Gradle Cloud Services and build scans.
Gartner has produced a report called “Market Guide for Application Platforms”, citing Java EE’s “revenue decline” in reporting “a clear shift” in the application platform market. The Java EE community takes issue with those findings, in personal comments to InfoQ.
Netflix has developed an orchestration engine called “Conductor”, and has used it internally in production for the last year . During this time they executed some 2.6 million process workflows, starting with linear ones and ending with dynamic ones running over multiple days. Now they have open sourced Conductor, making it available to all those interested in workflow orchestration.
The key to success when working with a microservices based distributed system is to focus on the distributed process as a whole, not on the microservices themselves. The services are the least important part, Eric Ess claimed at the recent Microservices Conference in London, in his presentation on how to monitor distributed processes at jet.com.
Speedment released version 3.0.1 of their stream object-relational mapping Java toolkit and runtime application, featuring a new declarative Java 8 stream API, an improved user interface, and better code generation. InfoQ spoke to Per-Åke Minborg, co-founder and CTO of Speedment, about this latest release.
Google brings Android and its ecosystem to the development of IoT devices. Developers will write applications to these devices similarly to how they write for mobile ones.
Julien Nioche, director of DigitalPebble, PMC member and committer of the Apache Nutch web crawler project, talks about StormCrawler, a collection of reusable components to build distributed web crawlers based on the streaming framework Apache Storm. InfoQ interviewed Nioche, main contributor of the project, to find out more about StormCrawler and how it compares to other similar technologies.
Drew Koszewnik of Netflix talks to Rags Srinivas about a disseminated cache called Hollow.
Using Neural Networks for sequence prediction is a well-known Computer Science problem with a vast array of applications in speech recognition, machine translation, language modeling and other fields. FB AI Research scientists designed adaptive softmax, an approximation algorithm tailored for GPUs which can be used to efficiently train neural networks over vocabularies of a billion words & beyond.