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ClusterHQ Adds Docker Fig Integration, Multi-Cloud Support to Flocker
[November 18, 2014]

ClusterHQ Adds Docker Fig Integration, Multi-Cloud Support to Flocker


BRISTOL, England --(Business Wire)--

ClusterHQ™, The Container Data People™, today announced integration of its Flocker data-volume and container manager and Docker's Fig file format for describing complex applications. Flocker 0.3 allows DevOps teams to deploy and manage development environments built with Fig across multiple servers, data centers and cloud providers, including Amazon Web Services, Rackspace (News - Alert) and Digital Ocean.

"DevOps teams are looking for ways to run their entire applications, including their data services inside Docker containers," said David Messina, senior vice president of marketing at Docker, Inc. "We're glad to see ClusterHQ integrating deeper into the Docker toolset to make it easier for Docker users to run stateful services."

"We're seeing activity around Docker grow incredibly quickly, with application developers only beginning to find the edges of what's possible - including how to architect their applications appropriately for operations to deploy and manage," said Michael Coté, research director for Infrastructure Software at 451 Research (News - Alert). "Management of the data layer has always been difficult with containers, yet is a critical need for production operations, since every application has to deal with state. It's great to see ClusterHQ working on this layer of the Docker container stack."

By integrating many of the key features of Fig, Flocker enables Fig users to deploy multi-server applications along with their data and conduct common operational tasks such as moving a database from one server to another.

Flocker, an innovative solution for reliably running databases, key-value stores and queues inside Docker containers, solves the significant operational challenges that come from running data-backed services inside containers. Flocker allows developers to define their application as a set of connected Docker containers, deploy and then easily migrate them along with their data between hosts, even when in different data center or providers.



Support for data across the entire application lifecycle

Many data-backed services, such as databases, are I/O intensive, making them a natural fit for containers running on bare metal servers, which don't suffer I/O latency the way virtual machines do. However, the ecosystem of tools to manage data services in containers is immature compared to options in the VM world. Flocker lets Docker users run entire applications - including critical databases - inside containers.


Flocker provides support for data across the entire application lifecycle, including:

  • Integration with Docker's popular Fig application format for describing complex applications
  • Ability to deploy entire applications, including databases, queues and key-value stores, to multiple servers across clouds
  • Ability to migrate containers and their data between hosts for expected or unexpected maintenance

"Adding Fig support to Flocker enables enterprise DevOps teams to move their applications and databases from development to staging to production much more easily than before," said Luke Marsden, co-founder and CTO of ClusterHQ. "This new functionality brings Flocker closer to production readiness and to providing the critical data-backed services that will allow the container industry to scale at an even greater pace."

Flocker software is available on Github under an Apache 2.0 license.

Additional Resources

About ClusterHQ

As The Container Data People™, ClusterHQ is the company behind the container industry's first solution for reliably running databases, key-value stores and queues inside Docker containers. Through its innovative open-source data volume and container manager, Flocker, ClusterHQ delivers a platform for solving the significant operational challenges that come from running data-backed services inside containers. The ClusterHQ team are technical experts in storage, networking and containers who have successfully driven open source adoption in developer-led communities. The team holds seven patents related to operating container-based applications at scale.


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