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Accessing multiple databases in enterprise applications can be a challenge. With Spring it is easy enough to define a common data source, but once we introduce multiple data sources things get tricky. This article demos a technique for accessing multiple databases in Spring Boot applications easily and with minimum configuration.
Phil Calçado talks about the patterns and techniques DigitalOcean has used over the years to migrate from a monolithic architecture to SOA and microservices. Today their distributed services support more than 13 million virtual machines, including block storage and monitoring.
Apache Beam aims to provide a unified stream processing model along with a set of language-specific SDKs for defining and executing complex data processing, data ingestion and integration workflows. This will simplify how we implement and think about large-scale batch and streaming data processing. Pipelines can be run on Apache Flink, Apache Spark, and Google Cloud Dataflow with more to come.
In the book How to Lead a Quest Jason Fox explores what can be done to develop insights for strategic decisions and innovation, and for driving progress and delivering value. The book provides approaches and rituals for asking deeper, bigger questions and slow, thorough thinking, creating options and designing experiments for dealing with complexity, ambiguity and uncertainty.
Tom Czarniecki overviews what's needed to consider when choosing DevOps tools for each stage in an application's lifecycle, as well as a small example of the tools.
San FranciscoNov 7-11
LondonMar 6-10, 2017
New YorkJun 26-30, 2017
Working with Multiple Databases in Spring
Survey: Devs Are the Main Roadblock in Adopting TDD/BDD
Continuous Updating Tool VersionEye Now Open Source
DigitalOcean: Microservices in Your Datacenter
The Morning Paper Quarterly Review
Microsoft Updates High Availability Guidance for Cloud Apps
Q&A with Jason Fox on How to Lead an Quest
Creating Great Teams – How Self-selection Lets People Excel
Apache Beam: The Case for Unifying Streaming APIs
DeepMind AI Program Increases Google Data Center Cooling Power Usage Efficiency by 40%
Facebook Open-Sources Deep Learning Project Torchnet
Think Before You Tool: An Opinionated Journey
Scheduling a Fuller House: Container Mgmt @Netflix
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