Small python script for plotting a terraform apply process into a timeline to find hotspots and slow processes.
Fastest recommended installation is with via pipx to install it in its own accessible but isolated virtual environment:
pipx install git+https://github.com/danielloader/tftimelineThis library requires the terraform apply or terraform destroy command output to be accessible through a pipe, and the json logging flag enabled:
terraform apply -json -auto-approve | tftimelineI'd recommend you save the terraform apply output to disk to manipulate without re-running the command (since you will need to destroy the stack first to trigger an apply).
terraform apply -json -auto-approve > terraform-apply.log
cat terraform-apply.log | tftimeline --output-type html --output-file timeline.htmlUse of this tool without any flags will default to loading the timeline as a html document on localhost, and triggering a browser open to display it.
You can also build the provided Dockerfile and run the application in a container:
docker build -t tftimeline:latest .
cat log.jsonl | docker run --rm -i -v $PWD:/output tftimeline:latest --output-path /output/index.htmlLogs are still processed via stdin, so the -i flag is mandatory when running this container.
Volume mount is needed to write out the exported graph.