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ELB Monitoring and Logging

5 minutes 5 Questions

Elastic Load Balancing provides monitoring and logging features to help you analyze the performance and health of your applications, identify issues, and make data-driven decisions. Some key monitoring and logging features include: 1. CloudWatch Metrics: You can monitor the health and performance of your load balancer using Amazon CloudWatch metrics, which provide real-time statistics of your instances, traffic distribution, request processing time, and other performance-related parameters. 2. Access Logs: These detailed logs contain information about client requests, enabling you to analyze traffic patterns, identify security issues, and troubleshoot potential problems. 3. CloudTrail Logs: These logs record API calls made to the Elastic Load Balancing service, allowing you to detect unauthorized activity, security breaches, or alterations to your load balancer settings. By utilizing these monitoring and logging features, you can proactively address issues, optimize performance, and maintain the availability, reliability, and security of your applications.

Guide: ELB Monitoring and Logging for AWS Solution Architect Exam

Elastic Load Balancing (ELB) in AWS is a service that automatically distributes incoming application traffic among multiple targets, such as EC2 instances.
Importance: ELB monitoring and logging is crucial because it allows you to track the health of your system, identify and mitigate issues, and optimize overall performance. It collects and sends metrics and log files to CloudWatch for detailed analysis.
How ELB Monitoring and Logging Works: When enabled, ELB automatically starts monitoring your load balancer and its registered instances and sends metrics to Amazon CloudWatch every minute. Additionally, access logs are enabled, providing detailed records of requests made to your load balancer.
Exam Tips: i) Understand the key ELB metrics - such as HealthyHostCount, UnHealthyHostCount, RequestCount, and HTTPCode_ELB_5XX. ii) Know how to enable and disable access logs. iii) Be aware of how to analyze ELB metrics and logs using CloudWatch.
Answering Questions on ELB Monitoring and Logging: i) Provide concise, straightforward answers. ii) Always relate your answers to a specific use-case when possible. iii) Be clear on the differences between ELB monitoring and logging, and when to use one over the other.
Remember, a strong understanding of ELB monitoring and logging can significantly boost your performance in AWS Solution Architect Exam.

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AWS Certified Solutions Architect - Elastic Load Balancing (ELB) Example Questions

Test your knowledge of Amazon Simple Storage Service (S3)

Question 1

As a Solutions Architect, you have an application deployment using Classic Load Balancer, and you need to export logs to analyze the request patterns. What is the minimum interval at which you can configure logs to be delivered?

Correct Answer: 5 minutes

For a Classic Load Balancer, the access logs can be delivered to S3 at a minimum interval of 5 minutes. Other intervals mentioned are longer or shorter than the minimum allowed.

Question 2

You are monitoring an application with an Application Load Balancer. The application is experiencing intermittent high latency. Which of the following metrics should you monitor to diagnose the issue?

Correct Answer: TargetResponseTime

The TargetResponseTime metric measures the time taken to forward a request to the target and receive a response, including any queue delay. Monitoring this metric can help you diagnose high latency issues with your targets as opposed to other metrics which are not directly related to latency.

Question 3

Your application load balancer is receiving a significant increase in traffic, causing the backend instances to become overloaded. What CloudWatch metric would indicate the need to add additional instances to your target group?

Correct Answer: SurgeQueueLength

The SurgeQueueLength metric displays the number of requests that are waiting to be routed to the targets. A consistently high value indicates the need for additional backend instances to handle the increased traffic.

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