Discover the most cost-effective AWS service for storing server logs in preparation for the AWS Certified Cloud Practitioner CLF-C02 exam. Learn why Amazon S3 is the best choice for cost-efficient log storage and retrieval.
Table of Contents
Question
A company wants to query their server logs for insights on their customers’ experiences. Which AWS service will store this data MOST cost-effectively?
A. Amazon Aurora
B. Amazon Elastic File System (Amazon EFS)
C. Amazon Elastic Block Store (Amazon EBS)
D. Amazon S3
Answer
D. Amazon S3
Explanation
Amazon S3 is an AWS service that provides scalable, durable, and cost-effective object storage in the cloud. Amazon S3 can store any amount and type of data, such as server logs, and offers multiple storage classes with different performance and price characteristics.
Amazon S3 (Simple Storage Service) is the most cost-effective solution for storing server logs when querying them for insights into customer experiences. Here’s why:
Why Amazon S3 is the Best Choice
Cost Efficiency
Amazon S3 offers tiered pricing and storage classes that optimize costs based on data access patterns:
- S3 Standard: For frequently accessed data.
- S3 Intelligent-Tiering: Automatically moves data to lower-cost tiers based on usage patterns.
- S3 Glacier Deep Archive: Ideal for long-term storage at the lowest price point, with retrieval times of up to 12 hours.
Scalability and Durability
Amazon S3 provides virtually unlimited scalability and 99.999999999% (11 9’s) durability, making it reliable for storing large volumes of server logs.
Integration with Analytics Tools
Logs stored in S3 can easily be queried using services like Amazon Athena or processed with AWS Lambda, enabling actionable insights without requiring additional infrastructure.
Low Operational Overhead
S3’s lifecycle management policies automate data transitions between storage classes, reducing manual intervention and further optimizing costs.
Why Other Options Are Less Suitable
A. Amazon Aurora: Aurora is a relational database service designed for transactional workloads, not optimized for storing or querying large volumes of log data.
B. Amazon Elastic File System (EFS): EFS is a file storage service best suited for shared access across multiple instances but is more expensive than S3 for storing large datasets like logs.
C. Amazon Elastic Block Store (EBS): EBS provides block-level storage primarily for EC2 instances. While performant, it is not cost-efficient for storing large-scale log data due to its pricing model.
Key Takeaway
Amazon S3 stands out as the most cost-effective and scalable solution for storing server logs while enabling seamless integration with analytics tools to derive customer insights. This aligns perfectly with AWS’s best practices for cost optimization and operational efficiency.
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