Terracotta has released version 3 of their distributed caching technology Ehcache, sporting a number of important new features. First, its API has been refactored and now leverages Java generics. Performance has generally been enhanced, and support for the javax.cache API (JSR-107) and off heap storage capabilities have been added.
Hazelcast has released version 3.6 of their flagship in-memory grid and caching software, featuring numerous performance improvements and new cloud management and container deployment options.
Force12.io have released a prototype ‘microscaling’ container demonstration running on the Apache Mesos cluster manager, which they claim starts and stops ‘priority 1’ and ‘priority 2’ containers more rapidly than traditional autoscaling approaches when given a simulated demand for the differing workloads. InfoQ discussed the goals and methodology of this approach with Force12.io’s Ross Fairbanks.
If you could handle all of the data you need to work with on one machine, then there is no reason to use big data techniques. So clustering is pretty much assumed for any installation larger than a basic proof of concept. In Splunk Enterprise, the most common type of cluster you’ll be dealing with is the Indexer Cluster.
Oracle shocked the Java world this week by announcing the dismissal of some of their top Java evangelists including Cameron Purdy and Simon Ritter.
The codebase for Google’s Kubernetes open source orchestration system for Docker containers has been tagged v1.0.0 ready for the initial ‘general availability’ public release of the platform at OSCON next week on 21st July.
At the London Microservice User Group July meetup, Kai Davenport presented a live demonstration of ClusterHQ’s Flocker v1.0 container data volume manager tool migrating a Docker storage volume between multiple containers running within a Docker Swarm.
Apple have announced that the company’s popular Siri iOS-based intelligent personal assistant is powered on the backend by Apache Mesos, the open source cluster manager. The Mesosphere blog states that Apple have created a proprietary PaaS-like scheduler framework named J.A.R.V.I.S., which allows developers to deploy Siri services in a scalable and fault-tolerant manner.
CoreOS has released Tectonic, a new product created from the aggregation of the CoreOS stack and the Google Kubernetes platform. Tectonic packages up different container technology and puts an UI on top of containers which includes a management console, an integrated registry and other tools to automate deployment.
Microsoft has announced and made available the preview of Azure Service Fabric (ASF), a cloud platform including a runtime and lifecycle management tools for creating, deploying, running and managing microservices. ASF microservices can be deployed on Azure or on-premises on Windows Server private or hosted clouds. Support for Linux is to come in the future.
Atlassian recently released Stash Data Center, a highly available and horizontally scalable deployment option for its on-premises source code and Git repository management solution Stash. New nodes can be added without downtime to provide active-active clustering and instant scalability.
Alachisoft has offered a heavily stripped down version of their NCache product under the Apache 2 open source license. This version only supports .NET clients; unlike the full version while also has support for Java.
Docker Inc, have released initial versions of their Machine, Swarm and Compose tool set for orchestrating Docker-based distributed applications. The Docker blog states that the current releases are not yet production-ready, but feedback from the community is being requested.
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.
An article by Jin Scott - A tale of two clusters: Mesos and YARN – describes hardware silos created by using different resource managers on different hardware clusters, most popular being Mesos and Yarn and introduces Myriad – a solution allowing to run a YARN cluster on Mesos.