InfoQ Homepage Infrastructure Content on InfoQ
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Escape From Amazon: Tips/Techniques for Reducing AWS Dependencies
Soam Acharya presents a case study of a business which relied heavily on AWS and had to reduce its dependencies on it, including tips for avoiding cloud lock-in.
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Lean Data Architecture: Minimize Investment, Maximize Value
Manvir Singh Grewal and Brandon Byars propose a business intelligence workflow along with Lean principles and practices for implementing a data warehouse and reporting capability.
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Storm: Distributed and Fault-Tolerant Real-time Computation
Nathan Marz introduces Twitter Storm, outlining its architecture and use cases, and takes a look at future features to be made available.
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Community Management: The Next Wave of SOA Governance and API Management
Tim Hall discusses compares and contrasts SOA Governance and API Management, explaining why he believes they will evolve into a new discipline called “Community Management”.
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Faster, Cheaper Identity Management through Loose Coupling – the LIMA Approach
Ganesh Prasad discusses the essentials of the loosely-coupled identity management approach called LIMA,
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Transactions for the REST of Us
Cesare Pautasso and Guy Pardon propose a way of implementing transactions over HTTP using REST and the Try-Confirm/Cancel protocol.
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How Percona Helps MySQL Succeed in the Cloud
Koa McCullough presents best practices for running Percona Server and MySQL in the cloud, cloud backups using EBS, Xtrabackup and S3, using Percona Toolkit to simplify operations, and XtraDB Cluster.
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Postgres Demystified
Craig Kerstiens presents the history of Postgres, the basics of developing with Postgres, notes on its performance, and tips on querying it.
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Recovering the Ability to Design when Surrounded by Messy Legacy Systems
Eric Evans shares 4 strategies for dealing with messy legacy systems: Bubble Context, ACL Synchronization, Exposing Legacy Assets, and Domain Events Channel.
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Extending the Enterprise Data Warehouse with Hadoop
Rob Lancaster explains the steps made by Orbitz in order to bridge the gap between their data in the data warehouse and the data in Hadoop.
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Big Data Problems in Monitoring at eBay
Bhaven Avalani and Yuri Finklestein discuss 4 aspects encountered at eBay when dealing with monitoring data: reduction of data entropy, robust data distribution, metric extraction, efficient storage.
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100% Big Data, 0% Hadoop, 0% Java
Pavlo Baron presents a big data case, a solution and the tools for collecting, mining and storing large amounts of data without using Hadoop or Java.
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