Clustering & Caching Content on InfoQ
Latest featured content about Clustering & Caching

- Architecture,
- SOA
- Topics
- Clustering & Caching,
- Cloud Computing
In this presentation, Jinesh Varia, a Web Services Evangelist at Amazon, talks about the architecture of one of Amazon's web services called Alexa. Jinesh explains how Amazon has reached scalability, performance and reduced costs for the Alexa service.
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By Jinesh Varia
on Aug 15, 2008,
News about Clustering & Caching
- Architecture
- Topics
- Cloud Computing,
- Clustering & Caching,
- Security
Security is the gating factor for preventing Enterprise Cloud adoption, argues CohesiveFT's CTO, Patrick Kerpan. His company just released the first VPN for the Cloud to enable Enterprise customers to secure three kinds of topologies: Cloud, Cloud-to-Cloud and Enterprise-to-Cloud.
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By Jean-Jacques Dubray
on Oct 28, 2008,
- Java
- Topics
- Performance & Scalability,
- Clustering & Caching
The latest version of Terracotta, an open source Java clustering framework, supports GlassFish, Spring 2.5 and new features like Automated High Availability Mode, Improved Distributed Garbage Collector (DGC) Performance and Visibility, and Cluster-Wide Runtime Statistics. Terracotta development team announced last week the availability of Terracotta 2.7 version.
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By Srini Penchikala
on Oct 22, 2008,
- Java
- Topics
- Clustering & Caching
Memcached is a distributed memory object caching system used in dynamic web applications to alleviate database load. Bela Ban at JBoss recently wrote a JGroups-based implementation of memcached which allows Java clients to access it directly. The new implementation also provides few advantages over memcached such as failover and monitoring.
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By Srini Penchikala
on Oct 06, 2008,
Articles about Clustering & Caching

- Java
- Topics
- Performance & Scalability,
- Clustering & Caching
A real world case study of a consultancy that distributed the load & increased scalability of its applications using Terracotta using the Master/Worker pattern.
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By James Heanly, Ben Teese
on Feb 05, 2008,

- Java
- Topics
- Data Access,
- Clustering & Caching
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.
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By Scott Delap
on Sep 12, 2007,
Interviews about Clustering & Caching

- Java
- Topics
- Performance & Scalability,
- Clustering & Caching
Ari Zilka, co-founder and CTO of Terracotta, talks about the capabilities of Terracotta, the use cases it supports, and the rationale and impact of taking Terracotta to an open source model.
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By Ari Zilka
on Nov 13, 2007,
Presentations about Clustering & Caching

- Java
- Topics
- Performance & Scalability,
- Clustering & Caching
In this presentation, Cameron Purdy discusses Java scaling. Topics include performance improvement versus scaling improvement, serial bottlenecks, queue theory, rewriting existing frameworks, avoiding the database, single points of failure, avoiding abstractions, disaster recovery, one-size-fits-all architecture, large JVM heaps, network failures, and trusting product claims.
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By Cameron Purdy
on Jul 23, 2008,

- Architecture,
- SOA
- Topics
- REST,
- Clustering & Caching,
- Stories & Case Studies
In this talk, recorded at QCon London, Mark Nottingham explains how Yahoo! leverages Web technologies, specifically HTTP-based caching using Squid, to create a high-performance architecture for integrating multiple Yahoo! properties, concluding that the Web provides sophisticated techniques without using SOA tooling such as ESBs.
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By Mark Nottingham
on Jan 07, 2008,