An individual working on a Dockerized app-in-progress, despite being a novice, is learning through trial and error by inspecting logs and troubleshooting. They encountered challenges with Docker's isolated log system and the need to collect and analyze logs from individual containers for effective troubleshooting. They explored solutions like using centralized monitoring services such as Elastic Search, Sumo Logic, or Splunk to consolidate logs, although these services can be verbose and costly. The author tested Codefresh, a service that organizes Docker objects and provides real-time log tracking, simplifying the process by categorizing logs without the need for manual tagging or organization. This approach allowed the author to address configuration errors and plan for future log-monitoring services for real-time issues while benefiting from Codefresh's meaningful context and metadata during builds and tests.