What this PR does / why we need it:
Adding the AWS experiment as part of code added in litmus python. Also make changes for another experiment, and make it separately for kubernetes.
Which issue this PR fixes(optional, in fixes #<issue number>(, fixes #<issue_number>, ...) format, will close that issue when PR gets merged): fixes #
This is enhancement for aws workload from chaostoolkit
Checklist
[ ] Does this PR have a corresponding GitHub issue?
[x] Have you included relevant README for the chaoslib/experiment with details?
[x] Have you added debug messages where necessary?
[x] Have you added task comments where necessary?
[ ] Have you tested the changes for possible failure conditions?
[ ] Have you provided the positive & negative test logs for the litmusbook execution?
[ ] Does the litmusbook ensure idempotency of cluster state?, i.e., is cluster restored to original state?
[ ] Have you used non-shell/command modules for Kubernetes tasks?
[x] Have you (jinja) templatized custom scripts that is run by the litmusbook, if any?
[x] Have you (jinja) templatized Kubernetes deployment manifests used by the litmusbook, if any?
[ ] Have you reused/created util functions instead of repeating tasks in the litmusbook?
[x] Do the artifacts follow the appropriate directory structure?
[ ] Have you isolated storage (eg: OpenEBS) specific implementations, checks?
[ ] Have you isolated platform (eg: baremetal kubeadm/openshift/aws/gcloud) specific implementations, checks?
[ ] Are the ansible facts well defined? Is the scope explicitly set for playbook & included utils?
[x] Have you ensured minimum/careful usage of shell utilities (awk, grep, sed, cut, xargs etc.,)?
[ ] Can the limtusbook be executed both from within & outside a container (configurable paths, no hardcode)?
[x] Can you suggest the minimal resource requirements for the litmusbook execution?
[ ] Does the litmusbook job artifact carry comments/default options/range for the ENV tunables?
Signed-off-by: Sumit Nagal sumit_nagal@intuit.com
What this PR does / why we need it: Adding the AWS experiment as part of code added in litmus python. Also make changes for another experiment, and make it separately for kubernetes.
Which issue this PR fixes (optional, in
fixes #<issue number>(, fixes #<issue_number>, ...)format, will close that issue when PR gets merged): fixes # This is enhancement for aws workload from chaostoolkitChecklist
Special notes for your reviewer: Please review the changes to see more on this PR https://github.com/litmuschaos/chaos-charts/pull/297 https://github.com/litmuschaos/litmus-docs/pull/336 https://github.com/litmuschaos/litmus-python