Former technical leaders from Twitter and Couchbase have created FaunaDB, a new general-purpose database.
Deliveroo has grown dramatically the last years, both in terms of business and IT, and is facing a lot of technical challenges with its large monolithic application. The solution is to go distributed, but without microservices, Greg Beech noted in his presentation at the recent QCon London conference, describing their move from a monolith into a distributed system.
The world is concurrent with everything around us asynchronous and event oriented. Concurrency and the cloud are things every developer will have to deal with in the future, Joe Duffy claimed in his keynote at the recent QCon London conference. At the heart of this is communication, which is essential both for concurrent and distributed systems.
The newly formed Enterprise Ethereum Alliance has published a Vision Paper outlining “a vision for users and stakeholders to propose, implement, and integrate advances to the Ethereum protocol with support for Enterprise Ethereum protocols.” In this paper the EEA discusses many topics related to Pluggable Consensus, interoperability, Ethereum protocol updates, storage and performance.
Apache Flink 1.2 was announced and features dynamic rescaling, security, queryable state, and more. The release resolved 650 issues, maintains compatibility with all public APIs and ships with Apache Kafka 0.10 and Apache Mesos support. Flink’s dynamic rescaling allows one to change the parallelism of a streaming job or of an operator within the job.
Apache HBase 1.3.0 was released mid-January 2017 and ships with support for date-based tiered compaction and improvements in multiple areas, like write-ahead log (WAL), and a new RPC scheduler, among others. The release includes almost 1,700 resolved issues in total.
Apache Eagle, an open-source solution for identifying security and performance issues on big data platforms, graduates to Apache top level project on January 10, 2017. Firstly open-sourced by eBay on October 2015, Eagle was created to instantly detect access to sensitive data or malicious activities and, to take actions in a timely fashion.
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.
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.
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.
Julien Le Dem, the PMC chair of the Apache Arrow project, presented on Data Eng Conf NY on the future of column-oriented data processing. Apache Arrow is an open-source standard for columnar in-memory execution. InfoQ interviewed Le Dem to find out the differences between Arrow and Parquet.
Software security is a complex problem, and is becoming even more complex using Microservices where each service has to deal with security, David Borsos explained at the recent Microservices Conference in London, during his presentation evaluating four end-user authentication options within a microservice based systems.
Honeycomb is a tool for observing and correlating events in distributed systems. It provides a different approach from existing tools like Zipkin in that it moves away from the single-request-tracing model to a more free-form model of collecting and querying data across layers and dimensions.
Yahoo! has made available Pulsar, their publish-subscribe messaging platform used internally in production by several services.
One of the hardest problem when creating and developing microservices for an enterprise is their data. Analysing the business domain using Domain-Driven Design (DDD) and reason about what your data represents will help in achieving a microservices architecture, Christian Posta claims in one of a series of blog posts about microservices implementations.