Managing Spending in Cloud Environments
Public cloud models bill customers for actual resource usage rather than fixed capacity reservations. While this usage-based pricing model provides flexibility, it can be difficult for organizations to track spending across different accounts and services. Left unchecked, cloud costs may spiral out of control.
Continuously monitor resource utilization of running instances using metrics and identify those consistently underutilized. Adjust configurations such as storage volumes, memory allocation or number of CPUs to more closely match observed usage patterns and workload requirements to avoid overspending on excess capacity.
02
Reserved Instances
For applications or services with steady state or predictable workloads, commit to 1-3 year Reserved Instance contracts to set a consistent monthly fee lower than on-demand rates in exchange for a usage commitment.
03
Auto Scaling
Implement scaling policies tuned to patterns of traffic rather than keeping static instance group sizes. Automatically scale out during peaks and scale in when loads decrease to deploy only resources needed at a specific time.
04
Data Management
Archive data that is infrequently accessed yet still needs to be online to lower cost object storage tiers. Also set policies to migrate or delete data exceeding age thresholds if it no longer serves a business purpose to help reduce data storage costs over time.
Case study 1
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What Are the Advantages You Should Expect?
Cost Savings
Rightsizing idle resources and minimizing unused capacity helps eliminate wastage and unnecessary spending on public cloud bills.
Visibility
Consolidated billing reports annotated with cost allocation data provide transparency to track spending trends across accounts and workloads against budgets.
Planning
Cloud cost modeling and forecasting tools help estimate expenses for migrations or new deployments to set accurate budgets.
Efficiency
Matching deployment precisely to demand avoids over-provisioning to maximize the value of cloud investments and optimize operational expenditures.