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Optimizing Amazon CloudWatch Costs for High-Traffic Lambda Functions with Advanced Logging Controls
- High-traffic Lambda functions can increase CloudWatch costs, necessitating Advanced Logging Controls for optimization.
- CloudWatch log groups have different storage classes with varying costs in regions like Ireland.
- Controlling data ingestion into log groups is crucial for cost management, impacting the bill based on metrics like DataProcessing-Bytes.
- Analyzing the size of log messages and optimizing what data is ingested into log groups can reduce costs at scale.
- Application logs and system logs generated by Lambda functions contribute to CloudWatch costs.
- Setting up retention policies and managing log levels can help optimize costs and comply with organizational guidelines.
- Using proper JavaScript console methods and log levels can enhance Advanced Logging Controls and reduce unnecessary logs.
- Automation through Systems Manager Runbooks enables temporary log level adjustments for debugging and cost control.
- Monitoring CloudWatch costs using Cost Explorer and tracking metrics like DataProcessing-Bytes is essential for efficient cost management.
- Adopting best practices like tracking metrics, managing log levels, and utilizing automation tools can help strike a balance between compliance and cost efficiency.
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