If you're using AWS, you know how easy it is for costs to creep up if you're not keeping a close eye on things. AWS Budgets is a fantastic tool for tracking your spending and making sure you're not hit with any nasty surprises.
Let's dive into how it works, what you can do with it, and how it compares to another handy AWS cost management tool, Cost Explorer.
First off, let's clarify how AWS Budgets fits in with other AWS cost management tools. While both AWS Budgets and AWS Cost Explorer help you manage your AWS spending, they serve different purposes.
Cost Explorer is great for analyzing your past spending and usage patterns. It allows you to easily view and analyze cost and usage drivers.
On the other hand, AWS Budgets lets you set spending limits and proactively alerts you when you exceed, or are forecasted to exceed, those limits.
Think of AWS Cost Explorer as the tool you use to look backwards and understand your spending, and AWS Budgets as the tool to plan and control future spending.
While both tools are essential for cost management, they serve distinct purposes.
AWS Cost Explorer:
AWS Budgets:
When you cross a budget threshold, AWS Budgets springs into action through its notification system. Picture it as your cloud's financial smoke detector – it won't put out the fire, but it'll make sure you know there's smoke. These notifications can flow through multiple channels:
You can orchestrate these alerts to trigger at different stages – perhaps a gentle reminder at 80% of your budget, a more urgent notice at 100%, and a full-scale alert beyond that.
AWS Budgets provides sophisticated alerting capabilities that can be customized to your needs:
Understanding alert timing is crucial for effective cost management:
AWS Budgets offers several specialized budget types to track and manage different aspects of cloud spending.
Cost budgets monitor actual and forecasted monetary spend across your AWS services, helping you stay within financial limits.
Usage budgets track the consumption of specific services like EC2 hours or S3 storage, allowing you to manage resource utilization.
Reservation budgets come in two forms: utilization budgets ensure you're effectively using your purchased Reserved Instances (RIs) or Savings Plans, while coverage budgets monitor what percentage of your eligible usage is covered by these cost-saving commitments.
Finally, Savings Plans budgets specifically track utilization and coverage of your Savings Plans investments, helping optimize compute costs across services like EC2, Lambda, and Fargate.
Cost Budgets are the most straightforward and commonly used type. They allow you to:
Example use case for Cost Budgets:
Let's say a company wants to track their overall monthly AWS spending. They can create a cost budget with a fixed target amount. For example, they might set a monthly budget of £50.
In the AWS Billing and Cost Management console, they would select "Cost budget" and then specify a recurring monthly budget with the £50 target. They can then set up alert thresholds, for instance, to receive an email notification if their spending reaches 80% of the budgeted amount.
This would allow them to monitor their actual spending and take action if it appears that they will exceed their budget.
They can choose to be alerted for both actual spending (after the cost has accrued) and forecasted spending (before the cost has accrued).
The budget can be scoped to include all AWS services, or it can be limited to specific services. This type of budget can act as a "runaway spending budget".
Alternatively, a company could set a monthly cost budget with a variable target, with each subsequent month growing the budget target by 5 percent.
They could then configure notifications to alert them at 80% of their budgeted amount, and automatically apply an action, like an IAM policy that prevents additional resource provisioning.
These cost budgets allow the company to track their spending and take actions to control costs proactively. Budgets can track unblended, amortized, and blended costs and can also include or exclude charges like discounts, refunds, support fees, and taxes.
Usage budgets help you monitor resource consumption:
Example use case for Usage Budgets:
A company using AWS for its web application sets a monthly usage budget for EC2 instance hours to avoid unexpected costs.
They budget for 5,000 hours and create an alert for when 80% of that threshold is reached. If they exceed that threshold they receive a notification via email and Amazon SNS.
This proactive approach helps them identify a sudden increase in traffic, allowing for timely scaling of resources and avoiding budget overruns. They also set up a usage budget for S3 data storage, ensuring that they are within their planned limits.
This ensures they operate within their budget and avoid unexpected costs.
Reserved Instance utilization budgets help optimize your RI investments:
Example use case for RI Utilization Budgets:
A large e-commerce company utilizes numerous Reserved Instances (RIs) to manage its Amazon EC2 compute capacity.
To ensure they're maximizing their investment, they set up an RI utilization budget with a target of 90%. They configure alerts to notify their finance and operations teams if the daily utilization drops below 80%.
When a drop occurs, for example, due to a change in traffic patterns or a deployment issue, they receive an alert via email and Amazon SNS.
This allows them to investigate the underutilization promptly, potentially reallocating RIs, adjusting instance sizes, or identifying any other issues.
This ensures that their RI investment is delivering maximum cost savings and not going to waste.
They can also set a coverage budget to see how much of their instance usage is covered by a reservation. They might also choose to set up a Savings Plan utilization budget as well.
These budgets help ensure you're maximizing your RI savings:
Example use case for RI Coverage Budgets:
A growing software company uses Reserved Instance (RI) coverage budgets to optimize their AWS costs.
They set a 95% target coverage with alerts triggering below 90%, meaning they expect most compute hours to be covered by RIs rather than more expensive on-demand instances.
When coverage drops—for example, due to unexpected traffic spikes requiring additional instances—the operations team receives email and SNS alerts.
This allows them to quickly investigate and take action, whether that means purchasing more RIs, adjusting deployment strategies, or modifying auto-scaling settings.
Unlike RI utilization budgets which track if purchased RIs are being used as expected, coverage budgets ensure total compute usage stays within reserved capacity. This helps prevent unexpected on-demand costs.
AWS Budgets supports up to five alerts per budget, which can notify up to 10 email subscribers or publish to SNS topics. The company can even set up forecasted spend alerts for more proactive management.
Similar to RI utilization budgets, but specifically for Savings Plans:
Example use case for Savings Plans Utilization Budgets:
Fictitious company “InnovateCloud”, a mid-sized tech company, uses AWS Savings Plans to optimize their cloud costs.
They set up a Savings Plan Utilization Budget targeting 90% utilization, with alerts at 85% and 80% thresholds that notify both finance and operations teams via email and SNS.
When utilization dropped to 84% one Tuesday, the team discovered that inefficient code deployment had reduced compute resource needs.
They quickly addressed this by rolling back and optimizing the code. A second incident occurred when Sunday evening traffic drops triggered the 80% alert, leading them to implement smarter auto-scaling policies for off-peak hours.
They also maintain a Savings Plan coverage budget, which differs from utilization budgets.
While utilization tracks how effectively purchased plans are being used, coverage monitors what percentage of eligible spend falls under Savings Plans.
This dual-budget approach helps InnovateCloud optimize both their existing commitments and future capacity needs.
With forecast-based alerts, they can proactively manage their cloud costs and maintain effective financial planning.
These help optimize your Savings Plans strategy:
Example use case for Savings Plans Coverage Budgets:
“AdVantage Solutions”, a growing digital marketing agency, optimizes their AWS costs using Savings Plans for their EC2, Lambda, and RDS services.
After analyzing spending patterns in Cost Explorer, they implemented a Savings Plans coverage budget targeting 90% coverage, with warning alerts at 85% and 80% thresholds sent to finance and operations teams via email and SNS.
When coverage dropped below 85% due to a new client onboarding, the team quickly identified uncovered EC2 instances and responded by optimizing instance types and purchasing additional Savings Plans.
Later, when coverage fell below 80%, they discovered an auto-scaling bug causing unexpected on-demand instance deployments.
The operations team fixed the configuration while finance adjusted their Savings Plan commitments to better match their infrastructure needs.
Their proactive budget monitoring helped catch issues early, while AWS Budgets' forecasting capabilities provided additional warning time.
The system's flexibility allowed for monthly, quarterly, or yearly tracking across specific services and accounts, with integration options for Slack, Amazon Chime via AWS Chatbot, and AWS Service Catalog for comprehensive cost management.
AWS Budgets becomes even more powerful when used with AWS Organizations:
You can scope budgets based on various criteria:
One of the most powerful features of AWS Budgets is the ability to set up automated actions:
To get the most out of AWS Budgets, you’ll want to incorporate these proven practices:
Let's look at some sophisticated ways to use AWS Budgets:
When working with AWS Budgets, you might encounter these common issues:
AWS Budgets is an invaluable tool for maintaining control over your cloud costs. By understanding its capabilities and implementing it effectively, you can:
Remember, effective cost management is an ongoing process. Regularly review and adjust your budgets, stay informed about new features, and continuously refine your approach based on your organization's evolving needs.
By following these guidelines and continuously refining your approach, you'll be well-equipped to manage your AWS costs effectively and maintain control over your cloud spending.