Workload Management
-Lakshmi Pratyusha Kuppa
Workload
 A "workload" can be defined as "the total requests
made by users and applications of a system.“
 Can be broke down into sets of self-contained
units.
 Workload is "platform agnostic”.
Intelligent Workload
 Understands its security protocols and processing
requirements.
 Recognizes capacity status.
 Carries access controls as well as log
management.
 Fully integrated with the business service
management layer.
Why Intelligent Workload ?
 Issues with workload
 Provisioning.
 Security.
 Compliance.
 IW Can effectively manage
 where they run.
 how they run.
 who can access them.
Workload Management in CiRBA
 Model New Demand.
 Intelligent Routing.
 Guarantee Resource Availability with Capacity
Reservations.
Model New Demand
 By providing workload profiles of similar
applications or transforming from physical to
virtual environments.
 Only Cirba's analytics determine which workloads
can be transformed.
Intelligent Routing
 CirBA’s Reservation Console examines the
requirements of a workload.
 Evaluates the suitability of target environments
based on relative cost, occupancy levels,
software licensing requirements, storage
requirements etc.
Guarantee Resource Availability.
 CiRBA reserves the capacity for workload.
 If there isn't enough capacity available, CiRBA
determines what action is required to fulfill the
request, such as adding a new host, increasing
memory or CPU.
Infrastructure Supply
Optimization
 Optimize Placements to densify Infrastructure.
 Only Cirba can place workloads considering their
patterns, personalities, profiles, and applicable
policies in order to safely maximize density.
 Cirba optimizes virtual and cloud infrastructure by
rebalancing and right-sizing workloads as
conditions change.
Why IWP
 Datacenters are evolving rapidly as applications
become more virtualized and dynamic.
 Pressure on IT teams increased to deliver
dependable, cost-effective services to end users.
 Applications and infrastructure environments
become more fluid, complex, and challenging to
operate.
 It is needed to shift to a more policy-based,
automated approach to managing the building,
provisioning, migration, monitoring, measuring,
and securing of corporate workloads.
Why IWP
 Intelligent workload management integrates
technologies
 Software appliances for intelligent workload
packaging and deployment.
 Policy-based workload management
 Access/identity management.
 Configuration and performance monitoring,
reporting, and analytics
Thank You

Workload management

  • 1.
  • 2.
    Workload  A "workload"can be defined as "the total requests made by users and applications of a system.“  Can be broke down into sets of self-contained units.  Workload is "platform agnostic”.
  • 3.
    Intelligent Workload  Understandsits security protocols and processing requirements.  Recognizes capacity status.  Carries access controls as well as log management.  Fully integrated with the business service management layer.
  • 4.
    Why Intelligent Workload?  Issues with workload  Provisioning.  Security.  Compliance.  IW Can effectively manage  where they run.  how they run.  who can access them.
  • 5.
    Workload Management inCiRBA  Model New Demand.  Intelligent Routing.  Guarantee Resource Availability with Capacity Reservations.
  • 6.
    Model New Demand By providing workload profiles of similar applications or transforming from physical to virtual environments.  Only Cirba's analytics determine which workloads can be transformed.
  • 7.
    Intelligent Routing  CirBA’sReservation Console examines the requirements of a workload.  Evaluates the suitability of target environments based on relative cost, occupancy levels, software licensing requirements, storage requirements etc.
  • 8.
    Guarantee Resource Availability. CiRBA reserves the capacity for workload.  If there isn't enough capacity available, CiRBA determines what action is required to fulfill the request, such as adding a new host, increasing memory or CPU.
  • 9.
    Infrastructure Supply Optimization  OptimizePlacements to densify Infrastructure.  Only Cirba can place workloads considering their patterns, personalities, profiles, and applicable policies in order to safely maximize density.  Cirba optimizes virtual and cloud infrastructure by rebalancing and right-sizing workloads as conditions change.
  • 10.
    Why IWP  Datacentersare evolving rapidly as applications become more virtualized and dynamic.  Pressure on IT teams increased to deliver dependable, cost-effective services to end users.  Applications and infrastructure environments become more fluid, complex, and challenging to operate.  It is needed to shift to a more policy-based, automated approach to managing the building, provisioning, migration, monitoring, measuring, and securing of corporate workloads.
  • 11.
    Why IWP  Intelligentworkload management integrates technologies  Software appliances for intelligent workload packaging and deployment.  Policy-based workload management  Access/identity management.  Configuration and performance monitoring, reporting, and analytics
  • 12.