Postmortem

In the world of software development and IT operations, incidents are inevitable. What sets great teams apart is how they learn from these incidents. This is where postmortems come in. A well-written postmortem not only documents what went wrong but also provides valuable insights for future improvements. Here's how to craft a postmortem that will impress your bosses and add value to your organization.

1. Start with a Clear Summary

Begin with a concise overview of the incident. This should include:

  • The duration of the outage or issue

  • The impact on users and services

  • A brief statement of the root cause

This summary is often all that executives will read, so make it count.

2. Provide a Detailed Timeline

Create a chronological list of events, including:

  • When and how the issue was detected

  • Key actions taken during the investigation

  • Any misleading paths that were explored

  • Escalations to other teams or individuals

  • How the incident was ultimately resolved

Use timestamps and keep each point brief.

3. Dive Deep into the Root Cause

Explain in detail what caused the issue. This is where you demonstrate your technical understanding and analytical skills. Be thorough but avoid jargon that non-technical readers might not understand.

4. Outline the Resolution

Describe how the issue was fixed. This should complement your root cause analysis and show how the solution addresses the underlying problem.

5. Propose Corrective and Preventative Measures

This is where you can really impress your bosses. Show that you're thinking beyond the immediate fix by:

  • Suggesting broad improvements to systems or processes

  • Providing a specific, actionable list of tasks to prevent similar issues

6. Keep It Concise

Aim for 400-600 words. Be direct and avoid unnecessary details. Remember, your bosses are likely to appreciate clarity and brevity.

7. Use a Consistent Format

Stick to a standard format for all postmortems. This makes them easier to read and compare over time.

8. Be Honest and Objective

Avoid finger-pointing or making excuses. Focus on facts and learning opportunities.

9. Highlight Positive Aspects

While addressing what went wrong, also note what went well. Did the team respond quickly? Did certain tools prove particularly useful?

10. Proofread and Polish

A well-written, error-free document reflects professionalism and attention to detail.

By following these guidelines, you'll create postmortems that not only document incidents effectively but also demonstrate your value to the organization. Your bosses will appreciate the clear communication, analytical thinking, and proactive approach to preventing future issues.

Here's a sample postmortem based on a hypothetical web stack debugging issue:

Postmortem: Database Connection Timeout Causing Service Outage

Issue Summary: On May 15, 2024, from 14:30 to 16:45 UTC, our main web application experienced a critical outage. Approximately 85% of users were unable to access their accounts or perform any actions on the platform. The root cause was identified as a database connection pool exhaustion due to a misconfigured connection timeout setting.

Timeline:

  • 14:30 UTC - Issue detected through a spike in error rates on our monitoring dashboard

  • 14:35 UTC - Engineering team alerted and began initial investigation

  • 14:45 UTC - Assumed issue was related to recent code deployment, began rollback process

  • 15:00 UTC - Rollback completed but issue persisted, shifted focus to infrastructure

  • 15:15 UTC - Database team engaged to investigate potential database issues

  • 15:30 UTC - Identified unusually high number of open connections to the database

  • 15:45 UTC - Discovered misconfiguration in database connection pool settings

  • 16:15 UTC - Applied fix to connection timeout configuration

  • 16:45 UTC - Service fully restored, monitoring confirmed normal operations

Root Cause and Resolution: The root cause was traced to a misconfiguration in the database connection pool settings. The connection timeout was set too high, causing connections to remain open long after they were no longer needed. This led to a gradual exhaustion of available connections, eventually preventing new connections from being established.

To resolve the issue, we adjusted the connection timeout setting to a more appropriate value, allowing unused connections to be closed and returned to the pool more quickly. We also increased the maximum number of connections in the pool to provide more headroom during peak usage.

Corrective and Preventative Measures: To prevent similar issues in the future and improve our overall system reliability, we will implement the following measures:

  1. Improve monitoring:

    • Set up alerts for database connection pool usage

    • Implement more granular monitoring of database performance metrics

  2. Enhance testing:

    • Develop and run load tests that simulate connection pool exhaustion

    • Include database configuration checks in our pre-deployment process

  3. Update documentation:

    • Create clear guidelines for database connection pool configuration

    • Document the incident response process for database-related issues

  4. Training:

    • Conduct a knowledge-sharing session on database connection management

    • Provide additional training on our monitoring tools and alert interpretation

  5. Infrastructure improvements:

    • Implement automatic scaling of the connection pool based on the load

    • Set up a secondary read-only database to offload some traffic

TODO List:

  1. Configure alerts for 80% of database connection pool usage

  2. Develop a load testing suite for database connections

  3. Update deployment checklist to include database config review

  4. Schedule a team training session on database connection management

  5. Implement connection pool auto-scaling in the production environment

This incident highlighted the critical nature of database configuration in our infrastructure. By implementing these measures, we aim to significantly reduce the risk of similar outages and improve our ability to quickly detect and respond to database-related issues in the future.

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Written by

Ozioma Agaecheta
Ozioma Agaecheta