InfoQ Homepage Clustering & Caching Content on InfoQ
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Apache Aurora v0.7.0 Released with Docker Support
The Apache Aurora community have released version 0.7.0-incubating of the Apache Aurora framework for Mesos, which provides a platform for long-running services and cron jobs. This release includes beta integration with Docker, official support for the Aurora command-line client v2, and performance improvements for running Aurora at scale.
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Hazelcast 2.0 Released with Off-Heap Storage and Distributed Backups
Version 2.0 of Hazelcast, a Java-based caching, clustering and data distribution solution, has recently been released. As part of this, the product is now offered in both commercial Enterprise and free open-source Community Editions.
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MySQL Cluster 7.2 Released with 70x Increased Performance and NoSQL Features
Oracle fires a new round for the heart of the NoSQL market. This 7.2 release of MySQL Cluster has new features putting it head to head with other NoSQL solutions including REST, memcached wire protocol, NoSQL C++, and standard MySQL interfaces. Oracle boasts 70x speed gains for complex queries using MapReduce like distributed joins. Is the world ready for a MySQL/NoSQL hybrid from Oracle?
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VMware Releases SQLFire 1.0
VMware releases SQLFire 1.0 a distributed SQL database geared towards high availability and horizontal scalability which offers table replication, table partitioning and parallel execution of queries.
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Distributed Cache as a NoSQL Data Store?
NoSQL data stores offer alternative data storage options for non-relational data types like document based, object graphs, and key-value pairs. Can a distributed cache be used as a NoSQL store? Greg Luck from Ehcache wrote about the similarities between a distributed cache and a NoSQL data store. InfoQ caught up with him to talk about this use case and its advantages and limitations.
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Java Data Grid Specification: JSR-347
JSR-347 is the data grid specification. This specification came to life with a bit of controversy and confusion. InfoQ got a chance to catch up with Manik Surtani to get his take on JSR 347 and JSR 107 as well as his thoughts on caching, NoSQL, data grids and related topics.
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Memcached surpasses EhCache and Coherence in Java Job Demand
Around January 2011, Memcached became the number one caching solution based on Java developer job demand. Memcached expanded beyond its LAMP roots. InfoQ caught up with Dustin Sallings, the implementer of Spymemcached the leading Java Memcached client, to get his perspective on the rise of Memcached in the Java world.
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Second Level Caching with Entity Framework
Second Level Caching is one of the features that is not present out-of-the-box in Entity Framework. In an MSDN article “Second-Level Caching in the Entity Framework and AppFabric” Julie Lerman shows how to implement Second Level Caching with Entity Framework to take advantage of caching services like Microsoft AppFabric.
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JSR-107, JCache: Alive and Going to be Part of Java EE 7
Distributed caching is the tip of the spear for performance, yet Java does not have a standard API. JSR-107 has gained some notoriety over the years because its old yet not done. Given the increased demand for caching, it seems JSR-107 will finally see the light of day, and be part of Java EE 7. InfoQ caught up with Greg Luck, JSR-107 specification and Ehcache lead developer to discuss.
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The Future of Terracotta after Its Acquisition by Software AG
Software AG, one of the leaders in the SOA and BPM market acquired San Francisco based Terracotta that is behind prominent open source products such as EhCache, Big Memory and Quartz. Terracotta products fill in the application performance and scalability needs for cloud based offerings from Software AG. In this article, InfoQ talks to Ari Zilka regarding the future of this acquisition.
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Oracle Coherence 3.7's Elastic Data Offers Transparent Overflow from Memory to Solid State Storage
Oracle has today released version 3.7 of Coherence, its distributed in-memory data grid. The new product introduces a feature called Elastic Data. According to Cameron Purdy, Vice President of Development for the Coherence product, this allows near memory speed access to data, regardless of storage medium.
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Brisk - Unified Big-Data Platform for Low-Latency Applications and Hadoop/Hive Analytics
DataStax unveiled Brisk, a new distribution that enhances the Hadoop and Hive platform with scalable low-latency data capabilities. This results in a single platform that can act as the low-latency database for extremely high-volume web and real-time applications while providing tightly coupled Hadoop and Hive analytics.
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GlassFish Server 3.1 Supports JavaEE 6 Web Profile & Full Platform, Clustering and High Availability
The latest version of GlassFish application server supports JavaEE 6 Web Profile & Full Platform, improved OSGi support, clustering and high availability. Oracle recently released version 3.1 of commercial (Oracle GlassFish Server) and community (GlassFish Server Open Source Edition) versions of the server. New release also provides centralized administration and improved JDBC monitoring.
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Hadoop Redesign for Upgrades and Other Programming Paradigms
Yahoo recently announced and presented a redesign of the core map-reduce architecture for Hadoop to allow for easier upgrades, larger clusters, fast recovery, and to support programming paradigms in addition to Map-Reduce. The new design is quite similar to the open source Mesos cluster management project - both Yahoo and Mesos commented on the differences and opportunities.
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Making the Case for RAMClouds
Since early 2008, researchers and technologists alike have been tantalized by the possibility of using DRAM to scale high-performance storage using In Memory Data Grids, IMDG. How has the discussion progressed since that time?