Moving a Monolithic Application towards a Microservices Architecture
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.
Focus on the Process, Not on Individual Microservices
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 on StormCrawler, Open-Source Crawler Pipelines Backed by Apache Storm
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 on the Future of Column-Oriented Data Processing with Apache Arrow
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.
Authentication Strategies in Microservices Systems
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 - A Tool for Debugging Complex 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! Open Sources Pulsar, a Pub/Sub Messaging Platform
Yahoo! has made available Pulsar, their publish-subscribe messaging platform used internally in production by several services.
Data is the Hard Part Working with Microservices
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.
Q&A on Akka.NET 1.1 with Aaron Stannard
Akka.NET 1.1 was recently released, bringing new features and performance improvements. InfoQ reached out to Aaron Stannard, maintainer of Akka.net, to learn more about Akka.Streams and Akka.Cluster. Stannard also explains how the roadmap is planned with regards to the JVM implementation of Akka.
Five Ways to Not Mess Up Microservices in Production
Alex Zhitnitsky of Takipi has written about five ways to try to improve the chances of successful deployed of microservices into production. As we will see, they share many similarities with other independent efforts, perhaps leading us to agreement on top areas of concern, if not ways of solving these problems.
Combine SQL Server with Hadoop Using PolyBase
With the recently released SQL Server 2016, you can now use SQL queries against Hadoop and Azure blob storage. Not only do you no longer need to write map/reduce operations, you can also join relational and non-relational data with a single query.
DevOps Days Kiel Day 1
Summary of DevOps Days Kiel day 1 talks.
Elephant in the Cloud - Hadoop as a Service
Hadoop and other big data technologies revolutionized the way organizations run data analytics but the organizations are still facing challenges with operating costs of using these technologies for on-premise data processing. Ashish Thusoo recently spoke at Enterprise Data World Conference about Hadoop as a service offering that helps organizations bridge the gaps with these capabilities.
Google Cloud Machine Learning and Tensor Flow Alpha Release
Late last month Google released an alpha version of their TensorFlow (TF) integrated cloud machine learning service as a response to a growing need to make their Tensor Flow library to run at scale on the Google Cloud Platform (GCP). Google describes several new feature sets around making TF usage scale by integrating several pieces of the GCP like Dataproc, a managed Hadoop and Spark service.
Apache Storm Reaches 1.0, Brings Improved Performance, Many New Features
Version 1.0 is "a major milestone in the evolution of Apache Storm", writes Apache Software Foundation VP for Apache Storm P. Taylor Goetz, and it includes many new features and improvements. In particular, Goetz claims a 3x–16x boost in performance.
