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In this the second installment on diagnosing performance issues, performance engineer Andreas Grabner focuses on spotting patterns that cause performance and scalability issues in distributed Micro Service Oriented Architectures.
Ben Stopford looks at the implications of mixing toolsets from the stream processing world into real-time business applications: how to effectively handle infinite streams, how to leverage a high throughput, persistent Log and deploy dynamic, fault tolerant, and streaming services.
There are dozens of Agile methods nowadays and more and more often we hear about Hybrid Agile, but what does that actually mean? This article provides a view on why it is important to have clarity around the term Hybrid Agile and what it has to mean to make sense. It provides guidance on circumstances when you could use the different kinds of methods.
Manuel Fahndrich describes how they tackled one particular resource allocation aspect of Google Cloud Dataflow pipelines, namely, horizontal scaling of worker pools as a function of pipeline input rate. Managing the redistribution of key ranges across new pool sizes and the associated persistent data storage was particularly challenging.
New YorkJun 13-17
San FranciscoNov 7-11
LondonMar 6-10, 2017
Adobe Acquires Java ECM Vendor Day Software
Aug 09, 2010
Advanced Java Content Repository Techniques
Nov 09, 2006
Catching up with the Java Content Repository
Oct 12, 2006
CRX Content Repository for Java 1.2 Released
Jul 27, 2006
Magnolia 3 Enterprise Content Management Released
Jun 20, 2006
Locating Common Micro Service Performance Anti-Patterns
Elephant in the Cloud - Hadoop as a Service
Ehcache 3.0 Released with Revamped API and Off-Heap Storage
Is There Really Such a Thing as a “Hybrid Agile” method?
Agile Games 2016 Keynote - Faster, Cheaper, Better Training Design
An Introduction to Six Startups at Collision
Microservices for a Streaming World
How Comcast Uses Data Science and ML to Improve the Customer Experience
Q&A on Continuous Delivery with Windows and .Net
Streaming Auto-scaling in Google Cloud Dataflow
Controlling Hybrid Cloud Complexity with Containers: CoreOS, rkt, and Image Standards
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