Certificate Docker Logging for Cloud-Native Applications
-- ViewingNowThe Certificate Docker Logging for Cloud-Native Applications course is a practical guide to managing and monitoring containerized applications in cloud environments. This course emphasizes the importance of effective logging in ensuring application reliability and performance.
2,800+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
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โข Docker Logging Fundamentals — Understanding the basics of logging in Docker, including the differences between container and host logging, and how to configure logging drivers.
โข Docker Logging Architecture — Exploring the architecture of Docker logging, including the role of the logging driver and the logging mechanism for Docker Swarm.
โข Configuring Docker Logging — Learning how to configure logging for Docker containers, including how to set up logging to external services such as Elasticsearch, Splunk, and Kafka.
โข Monitoring Docker Logs — Understanding how to monitor Docker logs in real-time, including how to filter and search logs, and how to set up alerts for specific log messages.
โข Troubleshooting Docker Logs — Learning how to troubleshoot issues with Docker logs, including how to diagnose and resolve common problems such as missing logs or high log volume.
โข Docker Logging Best Practices — Exploring best practices for logging in Docker, including how to minimize log volume, how to handle sensitive data in logs, and how to ensure data durability.
โข Docker Compose Logging — Understanding how to configure logging for Docker Compose, including how to log for multi-container applications and how to use logs to diagnose issues.
โข Docker Swarm Logging — Learning how to configure logging for Docker Swarm, including how to aggregate logs from multiple nodes and how to use logs to diagnose issues.
โข Security Considerations for Docker Logging — Exploring the security considerations for logging in Docker, including how to protect sensitive data, how to secure log data in transit, and how to ensure log data is not tampered with.
Note: The above course outline is a general guideline, and some units may be combined or split depending on the course content and audience.
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