What method should a software company use to collect and analyze logs from EC2 instances after each deployment to ensure performance?

Utilizing the Amazon Kinesis Producer Library (KPL) agent to send data to Kinesis Data Firehose for visualization stands out as a highly effective method for collecting and analyzing logs from EC2 instances after each deployment. This approach is particularly advantageous because it allows for real-time data ingestion, enabling the software company to capture logs as they are generated and process them immediately.

Kinesis Data Firehose integrates seamlessly with other AWS services, allowing for easy storage and analysis of logs. By visualizing results in real time, the company can monitor performance immediately after deployment, react to any issues swiftly, and gain insights into application behavior. This capability supports proactive management of application performance and enhances the decision-making process based on current data.

While storing logs directly in Amazon S3 is a viable option for archival and later analysis, it may not provide the immediacy needed for active performance monitoring post-deployment. Monitoring logs closely with Amazon CloudWatch is beneficial, but it typically focuses on metrics and alarms rather than the deep analysis of log data. Configuring EC2 instances to send logs to AWS Lambda for real-time processing is another approach, but it may involve more overhead in terms of setup and management compared to Kinesis, especially for high throughput scenarios.

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