What actions can you take based on log data in CloudWatch Logs?
- Deploying applications
- Managing databases
- Monitoring performance
- Sending emails
CloudWatch Logs allows you to monitor the performance of applications and systems by analyzing log data and setting up alarms based on specific metrics or patterns.
What are CloudWatch Logs Insights used for?
- Archiving log data
- Displaying log data
- Querying and analyzing log data
- Storing log data
CloudWatch Logs Insights is a feature that allows you to interactively search and analyze log data using queries to gain insights and troubleshoot issues effectively.
How does CloudWatch Logs handle log retention?
- Based on retention policies set by the user
- Logs are archived externally
- Logs are deleted immediately
- Logs are retained indefinitely
CloudWatch Logs allows users to define retention policies specifying how long log data should be retained, after which it is automatically deleted or archived.
What are CloudWatch Log Groups and Log Streams?
- Individual log entries and log events
- Log analytics tools and dashboards
- Log storage containers and individual log entries
- Subscription filters and metric filters
CloudWatch Log Groups are containers for log streams, and Log Streams represent sequences of log events.
When setting up CloudWatch Metrics, it's essential to consider the __________ of the data being collected.
- Cost
- Granularity
- Size
- Volume
Granularity refers to the level of detail or precision of the data being collected in CloudWatch Metrics, which is essential to consider when setting up monitoring and analysis.
CloudWatch Metrics provide insights into the __________ of your AWS resources, helping you optimize performance and resource utilization.
- Health
- Location
- Security
- Size
CloudWatch Metrics provide insights into the health and performance of your AWS resources, enabling you to optimize performance and resource utilization.
Scenario: You are managing a fleet of EC2 instances and need to monitor CPU utilization. How would you utilize CloudWatch Metrics in this scenario?
- Create custom CloudWatch Metrics for CPU utilization
- Enable default CloudWatch Metrics for EC2 instances
- Use CloudWatch Logs to monitor CPU utilization
- Utilize CloudTrail to monitor CPU utilization
Creating custom CloudWatch Metrics for CPU utilization allows you to specifically monitor and set alarms for CPU performance on your fleet of EC2 instances.
Scenario: Your company's application experiences intermittent latency spikes. Explain how you would use CloudWatch Metrics to diagnose and address this issue.
- Enable CloudWatch Logs for application troubleshooting
- Monitor latency metrics for relevant AWS services
- Use AWS Config to track application configurations
- Utilize CloudWatch Alarms for real-time notifications
Monitoring latency metrics for relevant AWS services allows you to diagnose intermittent latency spikes by identifying patterns and trends in response times.
Scenario: You have set up CloudWatch Metrics for various AWS services in your environment. How would you configure CloudWatch Alarms to notify you of potential performance issues or breaches in service-level agreements (SLAs)?
- Disable CloudWatch Alarms to reduce noise
- Manually trigger CloudWatch Alarms when issues arise
- Set thresholds for CloudWatch Alarms based on performance metrics
- Use CloudWatch Events to trigger Alarms based on scheduled intervals
Setting thresholds for CloudWatch Alarms based on performance metrics allows you to proactively detect potential performance issues or breaches in SLAs and receive notifications for timely intervention.
What is the primary purpose of CloudWatch Logs?
- Content delivery
- Database management
- Load balancing
- Monitoring and troubleshooting
The primary purpose of CloudWatch Logs is to monitor and troubleshoot applications and systems by collecting, storing, and analyzing log data generated by various AWS services and applications.