Monitoring Docker Containers in a DevOps Context
DevOps teams are challenged with monitoring, tracking and troubleshooting issues in a context where continuous integration servers and DevOps tools emit their own logging data. Machine data can come from numerous sources, and CD tools may not agree on a common method. Once log data has been acquired, assembling meaningful real-time metrics such as the condition of your host environment, the number of running containers, CPU usage, memory consumption and network performance can be challenging.
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