No products in the cart.
Similar to other resources like water, electricity, food grains, minerals etc., computing resources
are also considered essential in this day and age. Capacity planning is essential for any resource
to balance supply and demand, so that a system does not run into crisis.
As the computing resource management ideas have changed with time from in-house to
outsourced and then to cloud, so has capacity planning. Traditionally, capacity planning in
computing has been performed in silos (isolated storages or data centers to stock resources) or
in isolated organizational structures. The other problem was that the actual stakeholders had
very little control over the capacity planning process. Hence possibilities of gaps between real
capacity and the actual demand were high. Also, the fixed resource capacity within a silo makes
it difficult to manage varying resource needs of an application over time. In such a scenario,
both over-provisioning and under-provisioning of resource ultimately turns expensive from
the business point of view.
The solution to this problem only appeared with the removal of small silos and the creation
of scope for the end users to regularly take part in capacity planning process. The cloud model
of computing has created this scope, where end users can self-provision the resources without
interacting with the provider. This increases efficiency and reduces wastage of resource.
In traditional computing, end users had little participation in the capacity planning process.
Similar to other resources like water, electricity, food grains, minerals etc., computing resources
are also considered essential in this day and age. Capacity planning is essential for any resource
to balance supply and demand, so that a system does not run into crisis.
As the computing resource management ideas have changed with time from in-house to
outsourced and then to cloud, so has capacity planning. Traditionally, capacity planning in
computing has been performed in silos (isolated storages or data centers to stock resources) or
in isolated organizational structures. The other problem was that the actual stakeholders had
very little control over the capacity planning process. Hence possibilities of gaps between real
capacity and the actual demand were high. Also, the fixed resource capacity within a silo makes
it difficult to manage varying resource needs of an application over time. In such a scenario,
both over-provisioning and under-provisioning of resource ultimately turns expensive from
the business point of view.
The solution to this problem only appeared with the removal of small silos and the creation
of scope for the end users to regularly take part in capacity planning process. The cloud model
of computing has created this scope, where end users can self-provision the resources without
interacting with the provider. This increases efficiency and reduces wastage of resource.
In traditional computing, end users had little participation in the capacity planning process.