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InfoQ Homepage Clustering & Caching Content on InfoQ

  • Concurrency Controls in Data Replication

    Learn about leading concurrency control mechanisms used for data replication in distributed environments, comparing synchronous and asynchronous implementations with/without locking - techniques used by Oracle RAC, TimesTen, and GigaSpaces and NoSQL databases. Explore tradeoffs among performance, consistency, deadlocks, and conflicting updates in the context of a sample distributed application.

  • Infinispan's GridFileSystem - An In-Memory Grid File System

    Infinispan is an open source data grid platform that makes use of distributing state across nodes in a cluster. GridFileSystem is a new, experimental API that exposes an Infinispan-backed data grid as a file system. In this article, authors discuss distributed mode of Infinispan and how GridFS framework manages data caching by chunking up data using a new streaming API and storing them in a grid.

  • Extreme Transaction Processing Patterns: Write-behind Caching

    Lan Vuong shows how to optimize the performance of an application by leveraging the write-behind caching pattern which sends batch updates to the back-end database asynchronously within a user configurable interval of time, instead of doing sychronous write-through updates typical in web apps.

  • Implementing Master-Worker with Terracotta

    A real world case study of a consultancy that distributed the load & increased scalability of its applications using Terracotta using the Master/Worker pattern.

  • Yahoo's Doug Cutting on MapReduce and the Future of Hadoop

    InfoQ's lead Java editor, Scott Delap, recently caught up with Hadoop project lead Doug Cutting. Hadoop is an open source distributed computing platform that includes implementations of MapReduce and a distributed file system. In this special InfoQ interview Cutting discusses how Hadoop is used at Yahoo, the challenges of its development, and the future direction of the project.

  • Using ETags to Reduce Bandwith & Workload with Spring & Hibernate

    Gavin Terrill explores one of the lessor known facilities available to web developers, the humble "ETag Response Header", and how to integrate its use in a Spring and Hibernate based web app to improve application performance and scalability.

  • Interview: Frank Cohen on FastSOA

    InfoQ today publishes a one-chapter excerpt from Frank Cohen's book "FastSOA". On this occasion, InfoQ had a chance to talk to Frank Cohen, creator of the FastSOA methodology, about the issues when trying to process XML messages, scalability, using XQuery in the middle tier, and document-object-relational-mapping.

  • Web Applications with Spring Web Flow and Terracotta for Spring

    In this article we will first give you an overview of Spring Web Flow and Terracotta for Spring, and after that show you how you can use these technologies together to enter a new dimension in writing stateful, conversational, scalable and highly available web applications.

  • Introduction to OpenTerracotta

    OpenTerracotta is an open source enterprise-class JVM clustering solution that can take multi-threaded single-JVM apps and have them run across multiple JVMs with no code changes. Orion Letizi goes super-indepth on Terracotta and how it works, explaining how to do session replication, distributed caching, master/worker, and more.

  • A Look at Common Performance Problems in Rails

    Rails performance expert Dr. Stefan Kaes takes a look at the most common performance issues in your Rails applications and what to do about them. Advice is given regarding benchmarking, choosing a session container, caching results of expensive computations, optimizing database queries and working effectively with view helpers.

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