InfoQ Homepage DevOps Content on InfoQ
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What’s Next in Continuous Integration?
Kohsuke Kawaguchi discusses the future of Continuous Integration and Jenkins as they will be influenced by virtualization, cloud computing, DVCS and analysis software.
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Enterprise Apps in 2011 and Beyond
Adrian Colyer discusses the current trends in cloud computing, covering especially PaaS with a reference at Cloud Foundry, and focusing on how it impacts enterprise application design and development.
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Big Data in Real Time at Twitter
Nick Kallen discusses how Twitter handles large amounts of data in real time by creating 4 data types and query patterns -tweets, timelines, social graphs, search indices-, and the DBs storing them.
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Going to the Cloud
Jim Lepianka discusses how to prepare the enterprise to move to the cloud through consolidation, optimization, automation, and orchestration.
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Java without the GC Pauses: Keeping Up with Moore’s Law and Living in a Virtualized World
Gil Tene presents current trends in application memory, the problems with garbage collectors along with some related metrics, and how can Java prosper in a virtual world.
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NoSQL @ Netflix
Siddharth “Sid” Anand explains the technical details behind the move from Oracle used inside their data center to SimpleDB and S3 in the cloud, and from there to Cassandra.
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CouchDB and Erlang: Mobile and Flexible
Damien Katz and Volker Mische introduce CouchDB and explain why it is fit for mobile devices especially due to its replication capability that can handle network connectivity problems.
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Remediation Patterns - How to Achieve Low Risk Releases
Jez Humble presents remediation patterns based on prevention, low risk release through automate provisioning and deployment plus dev/test/ops collaboration, and incremental delivery.
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OData Internals & Implementing Custom Providers
Azret Botash talks about OData’s internals, especially URI conventions, and demoes the creation of a custom provider.
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Beyond The Data Grid: Coherence, Normalization, Joins and Linear Scalability
Ben Stopford presents ODC, a highly distributed in-memory normalized NoSQL datastore designed for scalability, based on normalized data, Snowflake Schema, and Connected Replication pattern.
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Netflix’s Cloud Data Architecture
Siddharth Anand overviews Netflix’s business model, then he explains why they chose Amazon AWS, and how they moved their data into the cloud using a NoSQL solution.
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The Future of Java EE
Jerome Dochez unveils the features planned for Java EE 7: Cloud Computing support, Modularity enhancements, richer Web Tier – Web Socket, HTML5, JSON-, JMS 2.0, and JPA 2.1, plus the roadmap.
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