At the microXchg microservices conference, held in Berlin, Adrian Cockcroft presented “Shrinking Microservices to Functions”. Key takeaways from the talk included: ‘serverless’ technologies enable rapidly developed functions-as-a-service (FaaS); and the biggest challenges for modern enterprise software development are connected with the people and process within an organisation.
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.
In preparation for the upcoming microXchg conference, running 16th and 17th February in Berlin, InfoQ sat down with Uwe Friedrichsen and Adrian Cole and discussed functional service design, the new challenges with observing a distributed system, and what the future holds for the microservice architectural style.
Microsoft has recently announced changes to its cloud workflow service, Flow, to enable teams to contribute and manage flows centrally. This new sharing capability is also available to SaaS and custom API Connectors. In addition to these collaboration features, Microsoft has also announced support for Gmail connectivity and integration with additional Microsoft Cognitive Services APIs.
Atomist has launched an Alpha Programme for those who want to try out Rug, the company’s meta-meta-programming language. Rug is used to automate the development workflow by generating repetitive or boilerplate code, and is orchestrated by Atomist. Rug aims to improve productivity when working with distributed systems such as microservices.
Hazelcast, previously known for the open-source caching and in-memory data grid technologies, has announced a major release of their new stream processing engine, Jet.
If you read the business press of today, you will find that the business side of the world sees IT as an impediment that holds them back. To overcome this, we need to shift focus from the machines to the domains and start reading and learning about the domains we are working in, David West noted in his presentation at the recent DDD Europe Conference in Amsterdam.
MicroProfile, the community initiative to provide a microservices standard for enterprise Java, has joined the Eclipse Foundation. The move is aimed at ensuring that MicroProfile remains a vendor-neutral project, and hopes to leverage the resources and momentum of the Eclipse Foundation. The decision has caused some arguments and temporarily diverted efforts from other objectives.
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.
At the upcoming Microservices.com Practitioners Summit on Jan 31, Susan Fowler, an engineer at Stripe, will be presenting on topics from her book, Production Ready Microservices. InfoQ met with Fowler to discuss the technical, business and cultural challenges of successfully implementing a microservices architecture.
The Uber Engineering team released their Kafka auditing tool called Chaperone as an open-source project. Chaperone allows for auditing and detection of data loss, latency, and duplication of messages in the multi-datacenter and high-volume Kafka setup at Uber.
eBay recently announced the release of two brand new buy and sell API’s.
At the upcoming Microservices.com Practitioners Summit on Jan 31, Matt Klein, a senior software engineer at Lyft, will be presenting his work on Envoy, a Layer 7 communications bus used throughout Lyft’s service-oriented architecture. InfoQ met with Klein to discuss the benefits of creating a custom tool for Lyft’s networking needs, and how it could benefit other microservices architectures.
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.
Intel open-sources BigDL, a distributed deep learning library that runs on Apache Spark. It leverages existing Spark clusters to run deep learning computations and simplifies the data loading from big datasets stored in Hadoop.