VMturbo Operation Manager 3.2 – OpenStack Integration, Java and non Windows support
VMturbo continues it’s progression into the cloud space by innovating and enhancing their product with different fonctions. VMturbo Operations Manager 3.2 has been The product has just been announced Java and Linux applications support and also Red Hat Enterprise Virtualization 3.0 hypervisor support.
In addition, a new self service provisionning support enables the users to place new VMs directly in the right cluster, datastore and host depending on the load based not only on real time, but also historical datas. It’s possible also to create a template based
VMturbo has joined Openstack recently, and so the future releases might bring interesting capabilities as well, since the alliance with Openstack opens wide the developpement of Open Source applications and protocols.
VMturbo can discover not only that a VM has a problem, a high CPU load, but also with broadened application support, which application is causing the load.
- vCloud Director and CloudStack integration
- Red Hat Enterprise 3.0 support
- Java and Linux application support
- Real time visibility
- Historical reporting and trendings
- Application Performance visibility
- Application Discovery and Policy – enables to discover and manage applications, and define business priority in case the resources became constrained. (through WMI, Java Management Extensions (JMX), and SNMP-enabled environments).
- Real time capacity notification and alerting.
- Self service provisioning with intelligent workload onboarding, which enables the deployment of new VMs based on custom or pre-defined templates to cloud environments.
“With this release of VMTurbo Operations Manager we bring critical cloud control and onboarding capabilities to our platform at a time when cloud infrastructures — both public and private — are becoming mainstream,” announced Yuri Rabover, vice president of product strategy and co-founder at VMTurbo.
VMturbo Operation Manager 3.2
The product is based on an Economic Scheduling Engine uses a mathematical approach based on economic principles of supply and demand to derive a broad set of resource allocation decisions such as workload placement, workload sizing, storage resourcing, application sizing, and overall capacity adjustments. The technology makes these decisions by analyzing real time and historical workload demand, and determining how it can best be accommodated through the available server and storage capacity, or by provisioning or consolidating capacity.
You can download and test VMturbo Operations Manager 3.2. The 30 days trial version will at the end of the trial period continue to function as a Free Community Edition. The Free edition provides fully featured monitoring and reporting with real-time visibility across all virtualized hosts and virtual machines.
As usually, the VMturbo virtual appliance comes as easy to deploy OVF file which can be directly improted into vCenter or single ESXi host.
VMturbo Operation Manager 3.2 – a real example
Recently, London School of Economics and Political Science chosed VMturbo to gain in efficiency of their existing virtual infrastructure. They run and manage a virtualized data centre with three VMware vSphere clusters, 20 physical hosts, 564 virtual machines and approximately 38 terabytes of storage.