AWS Cost Management encompasses:
- Monitoring and Controlling Cloud Expenses: Tracking AWS service usage and costs.
- Optimization Tools: Utilizing tools like AWS Cost Explorer and AWS Budgets for efficient resource use.
- Cost Analysis: Analyzing spending patterns to identify cost-saving opportunities.
- Billing Management: Managing AWS billing and payment processes.
- Resource Optimization: Rightsizing AWS resources to match usage needs and reduce unnecessary spending.
Introduction to AWS Cost Management
AWS cost management is critical for organizations leveraging cloud infrastructure. Understanding the billing structure, pricing models, and cost optimization strategies ensures efficient resource use and prevents overspending.
This guide explores the essentials of AWS cost management, focusing on the billing system, pricing models, and the importance of proactive financial strategies.
Overview of AWS Billing and Cost Structure
AWS’s billing system is designed to be flexible and scalable, but its complexity can lead to unintentional overspending.
Here’s how AWS structures its billing:
1. Pay-as-you-go Model
AWS charges are based on usage, measured per hour or second, depending on the service.
- Example: EC2 instances are billed per second for Linux and per hour for Windows in some regions.
2. Varied Pricing Schemes
AWS offers multiple pricing options tailored to different workloads:
- On-Demand: Pay for resources without upfront commitments. Ideal for short-term workloads.
- Reserved Instances (RIs) commit to a specific instance type and region for one or three years. Compared to on-demand pricing, they offer significant savings (up to 72%).
- Spot Instances allow you to purchase unused capacity at steep discounts, often up to 90%. This is suitable for flexible, fault-tolerant applications.
3. Additional Costs
Costs beyond base usage can significantly impact your bill:
- Data Transfer Fees: Charges apply for data moving between regions or out of AWS.
- Storage Requests: Operations like GET and PUT requests for S3 incur fees.
- Third-Party Services: Additional costs arise when using services like AWS Marketplace tools.
Cost Type | Details | Example |
---|---|---|
Compute Charges | Based on instance type and usage duration | EC2 t3.medium for 10 hours |
Data Transfer | Fees for inter-region data transfers | $0.09 per GB for data to another region |
Storage Requests | Charges for API operations | S3 GET request: $0.0004 per 1,000 requests |
Reserved Commitments | Lower cost for long-term commitments | 3-year RDS instance reservation |
The Importance of Cost Management in AWS Cloud Services
AWS cost management isn’t just about saving money but optimizing operations and strategic resource planning.
Here’s why it matters:
1. Control Spending
Cloud bills can spiral out of control without proper monitoring. Cost management tools like AWS Cost Explorer and Budgets help track spending patterns.
- Example: Setting budget alerts prevents unexpected spikes in usage.
2. Optimize Resources
Underutilized resources, like idle EC2 instances, waste money. Regular audits identify such inefficiencies.
- Example: Rightsizing instances from
m5.xlarge
tom5.large
can halve costs if workloads don’t require high capacity.
3. Strategic Planning
Proactive cost management supports scaling and long-term financial planning. Businesses can allocate budgets to high-priority projects and ensure sustainable growth.
- Example: Using Savings Plans aligns with predictable workloads, reducing costs for computing services.
4. Enhanced Accountability
Cost allocation tags enable organizations to monitor spending by department or project.
- Example: A tag
Environment: Production
helps track costs for production workloads separately from staging environments.
AWS Cost Optimization in Action
Consider a startup running web applications on AWS. Their monthly costs ballooned due to unmonitored resource use. By implementing cost management best practices, they achieved the following:
- Identified Waste: Decommissioned idle RDS instances, saving $500 monthly.
- Rightsized Instances: Switched from
m5.large
tot3.medium
, reducing costs by 40%. - Reserved Instances: Reserved EC2 instances for a production environment, cutting compute costs by 50%.
Proper cost management transformed their cloud strategy, enabling them to reinvest savings into product development.
Utilizing AWS Tools for Cost Management
AWS provides various tools to help you manage and optimize your costs. These tools enable detailed tracking, forecasting, and proactive adjustments to ensure efficient spending while maintaining performance and scalability.
Overview of AWS Cost Explorer
AWS Cost Explorer is a powerful tool for analyzing and understanding spending patterns. It offers several key features that can help you manage costs effectively:
1. Usage Analysis
Cost Explorer provides a detailed breakdown of your AWS usage and spending across services, regions, and accounts.
- Example: Identify which EC2 instances contribute most to your monthly bill or track S3 bucket usage by region.
2. Forecasting
Use forecasting tools to predict future costs based on historical data and usage trends.
- Example: If your EC2 usage shows a steady 10% monthly increase, Cost Explorer forecasts your future costs to help you plan better.
3. Cost Allocation Tags
Tagging resources allows you to categorize and track expenses by specific projects, departments, or environments.
- Example: Apply tags like
Project: Marketing
orEnvironment: Production
to allocate costs accordingly and monitor spending by category.
Feature | Benefit | Example |
---|---|---|
Usage Analysis | Identifies cost-driving services | EC2 and S3 usage patterns |
Forecasting | Predicts future costs | 6-month forecast for scaling EC2 instances |
Cost Allocation Tags | Tracks costs by category | Departmental cost breakdown for budgeting |
Utilizing AWS Budgets and AWS Pricing Calculator
1. AWS Budgets
AWS Budgets helps you stay within financial limits by setting custom cost and usage budgets. Alerts are triggered when thresholds are exceeded.
- Example: Set a monthly budget of $5,000 for your dev environment and receive alerts if spending exceeds this limit.
2. AWS Pricing Calculator
Estimate costs for AWS services before deployment with the Pricing Calculator. This tool is essential for planning and evaluating the cost of different architectures.
- Example: Calculate the cost of running 10 EC2 instances in
us-east-1
with specific configurations.
3. Regular Monitoring
Frequent use of these tools ensures that you stay informed and can adjust resources as needed to avoid unexpected bills.
- Example: Monitor your costs weekly and scale back services during periods of lower demand.
Monitoring and Controlling Expenditures with AWS Tools
Effective monitoring is essential to control expenditures and avoid surprises in your cloud bill. AWS offers robust tools to aid in this process:
1. Automated Alerts
Set up alerts for unusual spending patterns using AWS Budgets and Cost Anomaly Detection.
- Example: Receive an alert if your data transfer costs spike unexpectedly due to misconfigured services.
2. Cost Optimization Recommendations
Leverage AWS Trusted Advisor for recommendations on saving costs by identifying underutilized or misconfigured resources.
- Example: Trusted Advisor suggests resizing instances or deleting unattached EBS volumes.
3. Tracking and Reporting
Use AWS Cost Explorer to track expenditures and generate reports to ensure accountability. Then, share these reports with stakeholders to promote transparency.
- Example: Generate a monthly report of costs per department using allocation tags.
Identifying and Managing Low-Utilization Resources
Identifying and rightsizing underutilized resources is a crucial step in cost optimization.
1. Identifying and Rightsizing EC2 Instances
- Usage Monitoring: Utilize AWS CloudWatch and Cost Explorer to monitor EC2 instance utilization metrics.
- Example: Identify an instance running at 10% CPU utilization, indicating over-provisioning.
- Rightsizing: Adjust instance sizes based on usage. Downsizing or terminating instances can significantly reduce costs.
- Example: Switch from
m5.xlarge
tom5.large
for workloads with minimal processing needs.
- Example: Switch from
- Automated Scaling: Implement AWS Auto Scaling or Instance Scheduler to scale instances dynamically based on demand.
- Example: Shut down non-critical instances during off-peak hours.
2. Managing EBS Volumes and RDS/Redshift Instances
- EBS Volume Review: Use Trusted Advisor to identify and delete unattached or underutilized EBS volumes.
- Example: Delete old volumes left after instance termination to save storage costs.
- Snapshot and Delete: Take snapshots for infrequently accessed data and delete the original volumes.
- Example: Archive monthly reports as snapshots and remove large active storage volumes.
- RDS and Redshift Optimization: Monitor database usage and optimize configurations.
- Example: Resize a development RDS instance to a smaller size or stop it during non-working hours.
Resource | Optimization Strategy | Example |
---|---|---|
EC2 Instances | Rightsize or terminate underutilized instances | Reduce m5.large to t3.medium |
EBS Volumes | Delete unattached volumes or use snapshots | Snapshot old logs and delete original volumes |
RDS/Redshift | Resize or pause idle databases | Stop RDS during weekends for non-critical apps |
These tools and strategies proactively ensure a well-managed AWS environment where costs are predictable and aligned with business needs.
Optimizing Amazon S3 Usage Through Storage Tiering
Amazon S3 storage tiering is a powerful way to optimize costs while ensuring data is stored in the most appropriate and cost-effective storage class. You can significantly reduce storage costs without sacrificing performance by analyzing data access patterns and automating storage transitions.
Storage Analysis with S3 Analytics
Understanding your data’s access patterns is the first step in optimizing S3 storage. S3 Analytics provides insights into data usage, helping you identify opportunities for cost savings.
Key Features of S3 Analytics:
- Access Pattern Analysis: Tracks how often data is accessed and determines whether it can be moved to a lower-cost storage tier.
- Actionable Insights: Highlights buckets or objects that are ideal candidates for tiering.
- Customization: Allows analysis at the bucket, prefix, or tag level for precise cost optimization.
Example:
A logs bucket shows that older files are rarely accessed after 30 days. S3 Analytics recommends moving these files to S3 Infrequent Access (S3 IA) for cost savings.
Implementing S3 Lifecycle Policies
Lifecycle Policies are rules that automatically transition data between storage classes or delete data based on its age and usage. This automation eliminates manual intervention and ensures ongoing cost optimization.
Steps to Implement Lifecycle Policies:
- Define Transition Rules: Specify when data should move to a lower-cost tier.
- For example, objects can be moved to S3 IA after 30 days and to S3 Glacier after 90 days.
- Define Expiration Rules: Set policies to delete objects no longer needed.
- Example: Delete temporary files after 180 days to free up storage.
- Apply Rules at Scale: Use prefixes or tags to apply policies to specific data categories.
Use Case:
A media company stores large video files frequently accessed during the first month and rarely after. By applying lifecycle policies, files transition to S3 IA after 30 days and to Glacier after 90 days, reducing storage costs by up to 60%.
Storage Class | Use Case | Cost Savings |
---|---|---|
S3 Standard | Frequently accessed data | Highest cost, high availability |
S3 Infrequent Access | Data accessed less frequently | 40% lower cost than Standard |
S3 Glacier | Archival data requiring long-term retention | Up to 80% savings for archival storage |
Leveraging S3 Intelligent Tiering
S3 Intelligent Tiering offers a cost-effective and automated solution for datasets with unpredictable access patterns. This feature continuously monitors object usage and moves data to the appropriate tier.
Benefits of Intelligent Tiering:
- Automated Optimization: Automatically moves objects between tiers based on usage.
- No Retrieval Fees: Unlike other storage tiers, data retrieval from Intelligent Tiering doesn’t incur extra charges.
- Low Monitoring Overhead: Minimal cost for monitoring access patterns, with savings offsetting the small fee.
Example:
An e-commerce company stores product images that experience fluctuating access based on seasonal demand. S3 Intelligent Tiering moves frequently accessed images to the Frequent Access tier and infrequently accessed images to the Infrequent Access tier, reducing overall costs while maintaining availability.
Combining Storage Tiering Techniques
Maximizing cost savings often involves using a combination of these strategies:
- Use S3 Analytics to analyze data and identify tiering opportunities.
- Implement Lifecycle Policies to automate transitions for predictable patterns.
- Leverage Intelligent Tiering for unpredictable access patterns.
Real-World Scenario:
A research organization stores data from scientific experiments.
- Recent data remains in S3 Standard for high availability.
- After 60 days, data transitions to S3 IA using lifecycle policies.
- Rarely accessed data over a year moves to S3 Glacier for long-term archival.
Combining these methods reduces storage costs by 70% while ensuring data remains accessible when needed.
Properly analyzing and automating S3 storage tiering cuts costs and ensures that storage management aligns with business needs and usage patterns.
Advanced Cost Optimization Strategies
Advanced AWS cost optimization involves leveraging automation, flexible pricing models, and strategic resource planning. These strategies help businesses minimize expenses while maintaining performance and scalability.
Read our article on the top 10 AWS cost optimization strategies.
Implementing Auto Scaling and Serverless Architectures
Auto Scaling and serverless architectures enable dynamic resource management, ensuring efficient utilization while avoiding over-provisioning.
Auto Scaling
Auto Scaling automatically adjusts the number or size of instances to meet changing demand. This prevents overspending during low demand and ensures sufficient capacity during peak usage.
- Key Features:
- Dynamic Scaling: Adjusts resources in real-time based on defined metrics like CPU utilization or request rates.
- Predictive Scaling: Machine learning anticipates demand and provides resources accordingly.
- Use Case: A retail website experiences traffic spikes during sales events. Auto Scaling provisions additional EC2 instances to handle the surge and scales down during quieter periods, saving costs.
Serverless Architecture
Adopting serverless services eliminates the need to manage infrastructure. You only pay for the compute time you use.
- AWS Lambda: Run code responding to events without provisioning or managing servers.
- Cost Advantage: Charges are based on the number of requests and execution duration.
- Example: A media processing workflow uses Lambda to process uploaded files. You’re charged only for the actual processing time, avoiding idle costs.
Service | Cost Model | Use Case |
---|---|---|
Auto Scaling | Adjusts resources based on demand | Traffic spikes for a website or application |
AWS Lambda | Pay per request and execution time | Event-driven workflows or API backends |
Leveraging Spot Instances for Flexible Workloads
Spot Instances are a cost-effective alternative for workloads that can handle interruptions. Compared to on-demand pricing, they offer savings of up to 90%.
Cost-effective Alternatives
Spot Instances allow you to bid for unused AWS capacity. These are ideal for tasks that can tolerate interruptions, such as:
- Batch Processing: Processing large datasets, such as in data analytics or machine learning.
- Rendering: Media rendering jobs where processing can resume from checkpoints.
Integration with Auto Scaling
Combine Spot Instances with Auto Scaling to manage capacity dynamically while minimizing costs.
- Example: A data processing application uses Spot Instances for most of its workload and supplements with On-Demand instances to meet any shortfall.
Pro Tip: Use Spot Fleet to manage and allocate Spot Instances automatically across different instance types and Availability Zones for higher availability.
Read our article’s top 10 tips on how to use Spot instances to reduce AWS costs.
Rightsizing EC2 Instances and Adopting Reserved Instances
Rightsizing and Reserved Instances are effective for workloads with predictable or consistent patterns. They ensure cost savings without sacrificing performance.
Instance Optimization
Rightsizing involves analyzing performance and utilization metrics to adjust instance sizes.
- Steps to Rightsize:
- Use AWS CloudWatch to monitor CPU, memory, and I/O usage.
- Identify overprovisioned instances running under capacity.
- Adjust instance sizes (e.g., switch from
m5.large
tot3.medium
).
- Example: An application running at 20% CPU usage on a
c5.large
instance is moved to a smaller, less expensivet3.micro
.
Reserved Instances (RIs)
Reserved Instances offer significant cost savings (up to 72%) for predictable workloads.
- Benefits:
- Lower hourly rates compared to On-Demand.
- Options for 1-year or 3-year commitments.
- Example: A database server running continuously in production can be reserved for 3 years, reducing costs substantially.
Cost Explorer for RI Planning
AWS Cost Explorer provides recommendations for RI purchases by analyzing historical usage.
- Example: Cost Explorer suggests reserving it to maximize savings if an instance is consistently used more than 75% of the time over the past month.
Optimization Method | Benefits | Use Case |
---|---|---|
Rightsizing | Reduces costs by downsizing overprovisioned resources | Adjusting EC2 instance sizes |
Reserved Instances | Lowers hourly rates for predictable workloads | Reserving RDS or EC2 instances for production |
Spot Instances | Provides low-cost compute capacity | Batch processing or rendering jobs |
By combining these advanced strategies—Auto Scaling, serverless architectures, Spot Instances, rightsizing, and Reserved Instances—you can significantly reduce AWS costs while maintaining optimal performance and scalability for your workloads.
Best Practices for AWS Cost Reduction
Regular Cost Allocation Analysis
- Detailed Review: Regularly analyze your AWS expenditure using tools like AWS Cost Explorer to understand where your funds are going.
- Tagging Strategy: Implement a tagging strategy for resources to enable precise cost tracking across departments, projects, or services.
- Optimize Spending: Use this analysis to identify areas where you can cut costs without impacting performance.
Prioritizing Efforts Based on Implementation Time and Commitment Level
- Quick Wins: Focus initially on changes that require minimal effort and commitment but offer significant savings, such as turning off unused instances.
- Long-term Strategies: Gradually implement more complex strategies, like architectural changes, that require a higher level of commitment and longer implementation time.
Adopting a Cloud Observability Platform for Deeper Cost Visibility
- Integrated Monitoring: Use cloud observability platforms to comprehensively view your AWS usage and costs.
- Actionable Insights: These platforms can provide actionable insights, helping you to identify and rectify inefficient resource utilization.
Top 5 Recommendations for AWS Cost Savings
Utilize Reserved Instances and Compute Savings Plans
- Commitment for Discounts: Leverage Reserved Instances and AWS Compute Savings Plans to lock in lower prices in exchange for a commitment to use specific resources.
- Cost Predictability: These options offer cost predictability and savings compared to on-demand pricing.
Upgrade to the Latest Generation of Instances for Better Performance
- Performance Efficiency: Regularly upgrade to the latest EC2 instance types for enhanced performance and cost efficiency.
- Cost-Benefit Analysis: Assess the cost-benefit of newer instances, as they often provide better performance per dollar.
Move Infrequently-Accessed Data to Lower-Cost Tiers
- Storage Optimization: Use AWS’s tiered storage options to move infrequently accessed data to cheaper storage classes like S3 Infrequent Access or Glacier.
- Lifecycle Policies: To automate data transfer to these lower-cost storage options, implement lifecycle policies.
Consider Architecture Upgrades and Multi-Cloud Strategies
- Modern Architecture: Explore modern architecture designs like serverless or containerization to optimize costs.
- Multi-Cloud Approach: Consider a multi-cloud strategy to leverage different cloud providers’ best pricing and capabilities.
Regular Review and Modification of EC2 AutoScaling Group Configurations
- Dynamic Scaling: Review and adjust AutoScaling settings to ensure your EC2 instances scale efficiently in response to demand.
- Cost Efficiency: Ensure that scaling policies are optimized for efficiency, balancing performance needs with cost savings.
Common Mistakes to Avoid in AWS Cost Management
AWS offers a highly flexible platform, but improper cost management can lead to unnecessary expenses. Avoiding common mistakes ensures efficient resource use and helps control cloud spending.
Over-Provisioning Resources
Over-provisioning is one of the most frequent causes of inflated cloud bills. Allocating more resources than necessary results in paying for capacity that isn’t being utilized.
Avoid Excess Capacity
Evaluate your workloads regularly to determine the exact resources required. Overprovisioning often occurs when initial capacity estimates are too conservative or based on peak usage rather than average needs.
- Example: A web application running on
m5.4xlarge
instances may only use 20% of the provisioned CPU and memory. Switching tom5.large
can save hundreds of dollars monthly.
Rightsize Instances
Monitor your resource utilization metrics using tools like AWS CloudWatch and AWS Compute Optimizer. Adjust instances to match the actual usage.
- Example: Downgrade a compute-heavy workload from
r5.large
tot3.large
if memory and storage aren’t fully utilized.
Neglecting Underutilized Resources
Idle or underutilized resources can silently increase your AWS bill. Regular audits and a clear strategy for addressing inefficiencies are essential.
Regular Audits
Conduct frequent reviews of your AWS resources to identify those underutilized or idle.
- Examples of Underutilized Resources:
- Unused EC2 Instances: Instances running at low or no utilization.
- EBS Volumes: Detached volumes are still incurring charges.
- RDS Databases: Instances provisioned but not in active use.
Decommissioning Strategy
Implement a process to downsize or decommission unused resources. Where possible, automate this process using tools like AWS Instance Scheduler.
- Example: Automatically terminate idle EC2 instances after 7 days of inactivity or archive EBS data to S3 Glacier.
Read our article about the top 5 quick wins for reducing AWS costs.
Failing to Regularly Review and Optimize AWS Service Usage
AWS service optimization is not a one-time activity. Neglecting regular reviews and updates to your architecture can lead to inefficiencies.
Continuous Optimization
Treat cost optimization as an ongoing process. Workloads, business needs, and AWS pricing models change, making regular reviews necessary.
- Example: A workload initially running on On-Demand instances might now benefit from Reserved Instances or Savings Plans.
Utilize AWS Tools
AWS provides robust tools to help monitor and manage costs:
- AWS Cost Explorer: Analyze usage patterns and receive recommendations for Reserved Instances.
- AWS Trusted Advisor: Identify underutilized resources, security misconfigurations, and cost-saving opportunities.
Tool | Purpose | Use Case |
---|---|---|
AWS Cost Explorer | Tracks and analyzes cost trends | Identify cost spikes in a specific service |
AWS Trusted Advisor | Recommends optimizations for performance and cost | Suggests resizing or terminating idle EC2s |
AWS Compute Optimizer | Evaluates resource configurations | Suggests optimal instance types and sizes |
Avoiding Common Pitfalls: A Summary
Mistake | Impact | Solution |
---|---|---|
Over-provisioning resources | Paying for unused capacity | Regularly monitor and rightsize instances |
Neglecting underutilized resources | Silent cost increases | Perform regular audits and implement a decommissioning strategy |
Failing to review AWS usage | Missing cost-saving opportunities | Continuously optimize using AWS tools like Cost Explorer and Trusted Advisor |
Real-World Example
A SaaS company realized they were overspending by 20% due to idle resources and over-provisioned EC2 instances. By performing a comprehensive audit, they:
We adopted Reserved Instances for production workloads, achieving annual savings of 40%. Organizations significantly reduce AWS costs while enhancing service performance and reliability.
Rightsized their instances from m5.xlarge
to m5.large
, reducing costs by $4,000 monthly.
Terminated 15 unused EBS volumes, saving an additional $500 monthly.
FAQs
What is AWS Cost Management?
AWS Cost Management involves strategies and tools designed to monitor and control cloud expenses, ensure the efficient use of AWS resources, and optimize spending.
How can I track my AWS service usage and costs?
The AWS Management Console allows you to track your AWS service usage and costs. It provides detailed reports and insights into your spending and usage patterns.
What tools are available for AWS Cost Management?
AWS offers several tools for cost management, including AWS Cost Explorer for analyzing spending patterns and AWS Budgets for setting custom budget alerts and controlling costs.
How does AWS Cost Explorer help in cost management?
AWS Cost Explorer allows you to visualize, understand, and manage your AWS costs and usage over time. You can view detailed reports that analyze your spending patterns and identify areas for cost savings.
What is the purpose of AWS Budgets?
AWS Budgets helps you set custom budget alerts that notify you when your costs or usage exceed predefined thresholds. This tool aids in proactive cost management and prevents overspending.
What strategies can I use for cost analysis in AWS?
For effective cost analysis, review your AWS Cost Explorer reports regularly, identify high-cost services, analyze usage patterns, and look for trends that indicate inefficiencies or opportunities for savings.
How can I manage my AWS billing and payment processes?
AWS provides a Billing Dashboard where you can manage your billing and payment processes, view detailed billing reports, set up payment methods, and access your account’s financial activity.
What does resource optimization mean in the context of AWS?
Resource optimization involves adjusting your AWS resource allocation to match your usage needs. This includes rightsizing instances, choosing appropriate storage options, and eliminating or downsizing underused resources to reduce costs.
How can rightsizing AWS resources reduce unnecessary spending?
Rightsizing involves selecting the most cost-effective resources that match your performance and capacity needs. Regularly reviewing and adjusting resource allocations can eliminate waste and reduce your AWS bill.
Can AWS Cost Management tools help identify unused resources?
Tools like AWS Cost Explorer can help identify unused or underutilized resources, such as idle EC2 instances or unattached EBS volumes, which can then be terminated or resized to save costs.
Is it possible to automate cost-saving measures in AWS?
AWS services such as AWS Lambda and CloudWatch alarms can automate cost-saving measures based on specific usage patterns, such as stopping or resizing underutilized instances.
How do I start with AWS Cost Management?
Begin by enabling detailed billing reports, setting up a budget in AWS Budgets, and exploring AWS Cost Explorer to understand your current spending and usage. Implement monitoring and set alerts for unusual spending activities.
What are some best practices for AWS Cost Management?
Best practices include enabling detailed billing reports, regularly reviewing spending with AWS Cost Explorer, setting up AWS Budgets alerts, rightsizing resources, and using cost-optimization tools and recommendations.
How often should I review my AWS spending and usage?
Review your AWS spending and usage regularly, at least monthly, to monitor trends, make necessary adjustments, and ensure you’re not overspending on unused or underutilized resources.
Can AWS Cost Management impact my application’s performance?
Proper AWS Cost Management focuses on optimizing spending without compromising the performance and availability of your applications. Rightsizing and choosing the correct services based on your application needs to ensure efficiency in both cost and performance.