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Self Healing - Bringing Intelligence into Automation

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by Mohanbabu Nellore, Director, Visa Inc & Arup Datta, Principal Engineer, Swiggy

Published in: Technology
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Self Healing - Bringing Intelligence into Automation

  1. 1. 1 Self Healing Bringing Intelligence into Automation Mohan Babu Nellore, Director of Engineering, Visa Arup Datta, Principal Engineer, Swiggy
  2. 2. 2 • Slide for legal disclaimer
  3. 3. 3 Test Engineering… Productivity Challenges? Quick list…
  4. 4. 4 Employee Satisfactio n Troubleshootin g E2E Integration Environment Effective Communicatio n Tools Automation Tools Failed Tests Analysis KPI Metrics/Data Requirement s
  5. 5. 5 Environments! Any Challenges? Small story… Dev/QA Regression Pre-Prod
  6. 6. 6 How do we solve? Self Healing Automation What is it?
  7. 7. 7 Application Health Check• Logs • Monitoring • Alerts • Email Notification System PING Database Queues • Listeners • CRUD Operations • Messaging Queues Stages in the workflow: 1. Ping test 2. Application health-check 3. Listeners health-check 4. E2E flow with database- check 5. Mutual API response check 6. Log collection 7. Mail Notification
  8. 8. 8 Self-healing Automation • Dependency graph • Health-check APIs. • APIs to start/stop/restart services & applications
  9. 9. 9 Functionalities Identify dependencies – producers and consumers. Ensure server and application health monitoring/alerts are set up. Ensure all the dependent components are up and running. Restart services applications automatically, if not working as desired. If not, send out an email notification with logs attached.
  10. 10. 10 Sample Effort Savings Calculations
  11. 11. 11 Key pointers Use Human-centered design approach as to solve the problem Identify multiple metrics to assess training and monitoring When possible, directly examine your raw data Understand the limitations of your dataset and model Test, test and test. Continue to monitor and update the system after deployment
  12. 12. 12 Impact on the team • Improved Up-time, no manual intervention/debugging at large. • Know the exact point of failure for downtime. • Consistent test results without false positives. • Drastic productivity boost by avoiding manual debugging. • Extendibility for reliability/failover testing -> graceful handling. • We have time for solving bigger problems!
  13. 13. 13 Thank You! @mohanbn Q & A

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