InfoQ Homepage Infrastructure Content on InfoQ
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The Perfect Dev/Test Lab: 10 Principles that make it Possible
Software that drives the business typically takes inordinate amounts of time to develop and test. Now with new technologies able to normalize the private and public clouds the ultimate software development lab is not only feasible but cost-effective as well. To achieve hyper-agile software development, here are key principles for building the next-gen dev/test lab of enterprise DevOps’ dreams.
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DevOps @ large investment bank
This article is part of the “DevOps War Stories” series. In each issue we hear what DevOps brings to a different organisation, we learn what worked and what didn’t, and chart the challenges faced during adoption. This time a very personal story on introducing a DevOps mindset at a large bank. In particular how the automation of configuration and release management processes enabled collaboration.
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Key Takeaway Points and Lessons Learned from QCon San Francisco 2013
This article summarizes the key takeaways and highlights from QCon San Francisco 2013 as blogged and tweeted by attendees. Over the course of the next 4 months, InfoQ will be publishing most of the conference sessions online, including 19 video interviews that were recorded by the InfoQ editorial team. The publishing schedule can be found on the QCon San Francisco web site.
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Beyond Data Mining
In this article, author talks about the need for a change in the predictive modeling community’s focus and compares the four types of data mining: algorithm mining, landscape mining, decision mining, and discussion mining.
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Applying Lean Thinking to Software Development
Lean’s major concept is about reducing waste, meaning anything in your production cycle that is not adding value to the customer is considered waste and should therefore be removed from the process. Steven Peeters explains how you can apply Lean principles in an IT environment.
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To Execution profile or to Memory Profile? That is the question.
There are times when memory profiling will provide a clearer picture than execution profiling to find execution hot spots. In this article Kirk Pepperdine talks through some indicators for determining when to use which kind of profiler.
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The Subject and Discipline of Business Architecture
This article defines the subject and discipline of Business Architecture. In contrast with other approaches, only business functionality and business information may be considered architectural entities that together form the subject of Business Architecture.The discipline of Business Architecture on the other hand is a description of the primary and secondary tasks of a Business Architect.
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BYOC and the Rise of Hybrid Cloud
Chris Smith offers insights on how to leverage the increasing employee adoption of cloud services (Bring Your Own Cloud) to perform their work. Understanding the risks and benefits becomes essential.
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Building a RESTful Web Service with Spring Boot to Access Data in an Aerospike Cluster
Spring Boot allows you to build Spring based applications with little effort on your part. Aerospike is a distributed and replicated in-memory database that is ACID compliant. This article will take you through creating a simple RESTful web service with Spring Boot and Aerospike.
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Agility, Big Data, and Analytics
How do you bringing agility into big data analytics? Learn what makes analytics uniquely different than application development, and how to adapt agile principles and practices to the nuances of analytics. Examine how the disciplines of data science and software development complement one another, and how these intersect in an agile project environment.
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What’s Next in Software Analytics
In this article, a panel of experts in software analytics discuss the important and overlooked aspects of the software analytics field. Topics covered include what software analytics mean to the developers, practitioners, and information analysts and the opportunities for “natural” software analytics based on statistical natural language processing (NLP).
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Costin Leau on Elasticsearch, BigData and Hadoop
Elasticsearch is an open source, distributed real-time search and analytics engine for the cloud. The first milestone of elasticsearch-hadoop 1.3.M1 was released last month. InfoQ spoke with Costin Leau about Elasticsearch and how it integrates with Hadoop and other Big Data technologies.