Hybrid Cloud Management

Advanced Hybrid Cloud Management Suite


RackWare’s Advanced Hybrid Cloud Management Suite built on the RMM platform delivers enhanced support for IT departments managing departmental segmentation, application owners, and DevOps teams in the cloud.  RackWare’s Cloud Management Suite serves a duplicitous purpose, enabling self-service and automation for cloud users while allowing IT organizations to set business rules, manage access rights, monitor costs, and implement chargebacks.


Cloud Management, DevOps, Migration, Simplification



Dynamic, Automatic Scaling of Resources


The RackWare Management Module (RMM) Policy Engine supports schedule-based AutoParking.  Policy objects can be easily created using RMM templates or customer provided media. These “Policy-schedule” objects define a Power Schedule Map that can be applied to a Host or group of Hosts.  The RMM then executes automated triggers and downstream operations to actualize the Power Schedule Map for Host(s) to which the policy has been applied.  Automatically start cloud instances when they are needed, and automatically stop them when they are not needed.  The benefits of AutoParking can be realized by Hosts running on bare metal, Virtual Machines, or CloudHosts each with their own set of benefits depending on the environment.  Policy-schedules can be defined with great flexibility and detail, including daily, weekday (Monday through Friday), weekend (Saturday and Sunday), and specific day (e.g., Friday) attributes.  Any number of triggers can be defined for any given day.  The types of power events are also flexible, including power-on, power-off, and “park.”



AutoParking Features


• Granular scheduling to achieve maximum cost savings
• Coordination with other infrastructure based on triggers
• Option to manually override an RMM Policy applied to Host or Group of Hosts
• Event reporting for monitoring and problem identification and resolution


Dynamic, Automatic Scaling of Resources


RackWare Management Module (RMM) AutoScaling delivers automatic scaling for Datacenters, and both private and public clouds. RMM AutoScaling provides server resources on demand and is based on real-time metrics of load and performance indicators. Groups of Hosts can be defined with operational parameters that influence when Hosts are activated and deactivated to meet these fluctuating demands.   Deactivated Hosts that run in the cloud are placed into the most economical state (parked) while still allowing for quick and efficient activation when needed, thereby optimizing cost and maintaining responsiveness.  The RMM monitors Hosts during the activation process, and in the event of any issue would simply go through the selection process to bring the next available resource online.  Other tuning parameters, such as “minimum” and “maximum” provide more refined policy influence on resource levels.




Powerful AutoScaling Features

• ScaleOut and ScaleIn operations are “triggered” either RMM Monitoring or external data from Load Balancers or  Application Monitors.
• Autoscaling groups may be specified by minimum and maximum number of Hosts
• Prioritization of resources allocation    allows for customized resource distribution such as tiered or striped allocation
• Coordination with other infrastructure as hosts are powered on and off


Cloud Bursting Launches Cloud Machines to Meet Demands On-the-Fly


RackWare Management Module (RMM) Cloud Bursting is the culmination of AutoScaling and On-Boarding working synergistically together.  This unique combination of features provides scaling across heterogeneous environments.  The environments can be single cloud or multiple clouds, or simply extending the data center.  As with the RMM AutoScaling solution, the RMM policy framework can be used to set up a variety of triggers to launch, stop, park, delete, or provision CloudHosts. The RackWare policy engine automatically launches Hosts and CloudHosts during peak periods based on applicable metrics, gathered and analyzed by the RMM Monitoring Engine, or via external data such as a Load Balancer. In the case of extreme high-load needs, the RMM can provision machines on the fly in a private or public cloud environment. When traffic or load drops back to more modest levels, RMM automatically stops CloudHosts and optionally copies application data back to the local Datacenter.


Powerful Features Boost Availability and Flexibility

• Easily query or delete CloudImages and CloudHosts
• Sync parked CloudImages with primary Datacenter
• Quickly respond to peaks via Triggering framework
• Launch multi-tier applications in private or public cloud environments via RMM Containers
• Scale groups of Hosts or multi-tier applications



Download our Solution Brief

Hybrid Cloud Management Suite