Observability

[OpsGen]

Description

• Introduced a Dockerfile to create an observability environment for the project using Streamlit, which includes the setup of a virtual environment and installation of dependencies.
• Updated the .dockerignore file to improve the Docker build context by excluding unnecessary files and directories, such as bytecode, logs, caches, and environment directories, which optimizes the build process and reduces the image size.

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Changes walkthrough

	Relevant files
Configuration changes	.dockerignore Update .dockerignore to Exclude Unnecessary Files and Directories .dockerignore Added numerous entries to exclude common files and directories that are not needed in Docker images, such as Python bytecode, logs, caches, and virtual environments. Included specific exclusions for project-related directories like openduck-py/models, openduck-py/logs, and database files. Excluded macOS specific files such as .DS_Store. +172/-1
Enhancement	Dockerfile.observability Add Dockerfile for Streamlit Observability Environment                  Dockerfile.observability Created a new Dockerfile for setting up an observability environment with Streamlit. Defined a multi-stage build process that includes installing necessary packages and setting up a non-root user. Added a custom entrypoint script to run Streamlit and handle graceful shutdown. Exposed port 8501 for Streamlit access. +66/-0

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🔍 Infra Scan Results:

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Failed Dockerfile Checks Check Name File Path Lines Ensure that HEALTHCHECK instructions have been added to container images Dockerfile.observability 1-66

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Name	Status	Preview	Updated (UTC)
openduck	✅ Ready (Inspect)	Visit Preview	Mar 22, 2024 8:19am

[codeant-ai]

Ensure that HEALTHCHECK instructions have been added to container images

• Having HEALTHCHECK instructions in Docker container images allows automated systems to assess the health status of running applications, enabling quick detection and resolution of operational issues.
• The absence of a HEALTHCHECK instruction can make it difficult to identify when a service becomes unresponsive, which can lead to prolonged downtime and negative impacts on end users.