Self-Study: Monitoring and Logging in Cloud Computing (2.15)

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Brief

This self-study module explores the principles of Monitoring and Logging in cloud environments. It focuses on tools, best practices, and strategies to ensure application reliability, security, and optimal performance.

Videos

  1. What is Monitoring and Logging?
  2. Understand the basics of monitoring and logging in cloud environments.
  3. Watch the video: https://www.youtube.com/watch?v=IPJzJkpa0Vs&ab_channel=AWSTrainingbyGauravAgrawal
  4. AWS CloudWatch: Deep Dive
  5. Learn how AWS CloudWatch enables monitoring, logging, and setting alerts.
  6. Watch the video: https://www.youtube.com/watch?v=k7wuIrHU4UY&ab_channel=BeABetterDev
  7. Monitoring with Datadog on AWS
  8. Explore how Datadog is used to monitor cloud-based applications effectively.
  9. Watch the video: https://www.youtube.com/watch?v=2s2xcwm8QrM&ab_channel=AmazonWebServices

Readings

  1. Log Management in AWS
  2. Learn about the process of collecting, analyzing, and storing logs in AWS environments.
  3. Read more: https://docs.aws.amazon.com/managedservices/latest/userguide/log-mgmt.html#:~:text=Log%20management%20is%20the%20process,and%20to%20support%20system%20audits.
  4. AWS and Datadog for Monitoring
  5. Explore how AWS and Datadog integrate for comprehensive monitoring solutions.
  6. Read more: https://aws.amazon.com/financial-services/partner-solutions/datadog-on-aws/
  7. Google Cloud Observability Tools
  8. Discover Google Cloud’s tools for monitoring, logging, and error reporting.
  9. Read more: https://cloud.google.com/products/observability?hl=en

Key Concepts

  1. What is Monitoring?
  • Monitoring involves tracking application metrics, resource utilization, and system performance to ensure health and availability.
  • Metrics: Quantifiable data such as CPU usage, latency, and request rates.
  • Dashboards: Visual tools to display real-time performance data.
  1. What is Logging?
  • Logging is the process of recording system events, errors, and application behavior for troubleshooting and analysis.
  • Structured Logs: Standardized formats for easier querying.
  • Unstructured Logs: Text-based logs requiring parsing for analysis.
  1. Benefits of Monitoring and Logging
  • Proactive Issue Resolution: Identify and address problems before they escalate.
  • Enhanced Security: Detect anomalies and unauthorized activities.
  • Optimization: Improve resource usage and application performance.
  1. Key Tools for Monitoring and Logging
  • AWS CloudWatch: Tracks metrics, logs, and alarms for AWS resources.
  • Google Cloud Operations Suite: Provides monitoring and logging for Google Cloud services.
  • Datadog: A third-party monitoring solution for cloud and on-premises environments.
  1. Best Practices
  • Define Critical Metrics: Focus on key metrics for system health and performance.
  • Set Alerts: Automate notifications for anomalies or performance issues.
  • Centralized Logging: Aggregate logs from various sources for unified analysis.
  • Periodic Review: Regularly analyze logs and metrics for trends and optimizations.

Helpful Links (References)

  1. AWS CloudWatch Documentation
  2. Learn how to monitor and manage AWS resources with CloudWatch.
  3. Visit: https://docs.aws.amazon.com/cloudwatch/
  4. Log Management in AWS
  5. Understand AWS’s approach to efficient log management.
  6. Visit: https://docs.aws.amazon.com/managedservices/latest/userguide/log-mgmt.html#:~:text=Log%20management%20is%20the%20process,and%20to%20support%20system%20audits.
  7. Google Cloud Observability
  8. Explore monitoring and logging tools in Google Cloud.
  9. Visit: https://cloud.google.com/products/observability?hl=en
  10. AWS and Datadog Integration
  11. Learn how Datadog enhances monitoring for AWS services.
  12. Visit: https://aws.amazon.com/financial-services/partner-solutions/datadog-on-aws/

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