Cloudify introduced the 3.0 version of its cloud monitoring system this week, bringing together what had previously been two separate functions in managing cloud-based applications: orchestration and monitoring.
By capturing knowledge of how the application is configured, Cloudify is in a stronger position to know what to do when something interferes with its effective operation. GigaSpaces Technologies, the company behind Cloudify, is thus venturing into the emerging area of DevOps in the cloud. Amazon Web Services since February 2013 has offered OpsWorks for the same purpose, as customers deploy workloads to EC2.
GigaSpaces founder and CTO Nati Shalom, says Cloudify is "OpsWorks for OpenStack private clouds" and other, non-Amazon clouds.
GigaSpaces has attempted to make good on that boast by rewriting Cloudify in the Python language for its 3.0 release. That brings it into closer alignment with Google's Compute Engine, where it also works as a workload orchestrator and monitor, and the open-source OpenStack set of cloud software. Cloudify can now be added to an OpenStack deployment as if it were just another module of Python code, Shalom told InformationWeek in an interview from his office in Herzliya, Israel.
The first version of Cloudify was meant to serve as a public cloud monitor, helping companies manage their workloads in Amazon Web Services or with other public cloud providers. It can still serve that purpose, says Shalom, but versions 3.0 and its 2.0 predecessor have shifted focus toward a greater concentration on managing applications in a private cloud setting. That includes VMware's vSphere and vCloud environment as well as OpenStack.
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GigaSpaces discovered that OpenStack users constituted the largest segment of Cloudify users, with 1,182. By comparison, it has 803 installations by Amazon EC2 users, 162 users of IBM's SoftLayer, and 30 Apache CloudStack users. Cloudify has been developed as open-source code since February 2012 and can be freely downloaded by cloud users. GigaSpaces sells a premium version with added features, plus technical support.
Cloudify Premium with technical support is available from GigaSpaces at the rate of $350 per node per year for up to 50 nodes, said Uri Cohen, VP of products at GigaSpaces, in an interview last year. Bank of America, Alcatel-Lucent, and GE are among its customers.
Cloudify has the potential to erase the border between monitoring and orchestration. The new version of Cloudify provides a feedback loop from the monitoring engine to the orchestration engine. When it spots performance falling below expected thresholds, it can notify the orchestration engine, which can "react to monitored events with appropriate corrective measures." While the capability is now part of a re-designed product, it remains to be fleshed out with policies that will provide the guidance for non-manual, automated corrective actions, says Shalom. They are due in the fourth quarter, according to the announcement.
Getting to that point became possible as Cloudify gained the ability to plug in and use many other tools. While it has always depended on the open-source configuration engine, Chef, it can also now use Puppet configuration and deployment; the Docker Linux container system; and Fabric, an open-source integration platform for using Java containers.
Cloudify maps the application's topology as it gets deployed. It knows what web server it depends on and which database server it is tied to. In the future, it will be able to configure a workload according to a Tosca blueprint from the Oasis standards body. Tosca blueprints are being integrated as a service into the OpenStack project, Shalom told us.
The long-range goal is to learn so much about the cloud workload during its provisioning, configuration, and deployment that trouble-shooting may proceed on an automated basis, as it occurs during the application's lifecycle in the cloud, and to maintain that capability across multiple clouds, Shalom said.
Cloudify is not ready to do that yet. But it was re-crafted in order to get there soon.
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