17 Practices to Avoid in a Production Environment for Reliable Software Systems

Herley Shaori
3 min readOct 10, 2024

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Photo by Kyle Glenn on Unsplash

In a production environment, maintaining reliability, security, performance, and the overall health of your software systems is critical. Certain practices, while tempting or convenient, can lead to significant challenges if overlooked.

1. Making Direct Database Changes

Directly altering database schemas or editing data without proper migration processes can lead to data inconsistencies and unexpected application errors. Always follow migration and version control practices for any database modifications.

2. Using Outdated or Unpatched Software

Running software with known vulnerabilities puts your system at risk. Keeping all software and libraries up to date is essential for security and stability.

3. Manual Deployments

Manual deployment processes increase the chance of human error and inconsistencies. Instead, use automated deployment tools to achieve repeatable and reliable results.

4. Ignoring Backups

Regular backups are critical for data safety. However, they are only effective if tested for recoverability. Failing to verify backups could lead to significant data loss when disaster strikes.

5. Skipping Testing

Bypassing any testing phase — whether unit, integration, or acceptance testing — is a recipe for disaster. Automated testing should be an integral part of the CI/CD pipeline to ensure issues are caught early.

6. Lack of Monitoring and Logging

Without adequate monitoring and logging, troubleshooting becomes extremely difficult. Implement comprehensive monitoring to track system health, performance, and identify issues promptly.

7. Hot Fixes Without Version Control

All changes, even emergency fixes, should go through version control. Bypassing this leads to undocumented changes that may cause conflicts or issues later.

8. Running with Root/Administrator Privileges

Always operate with the least privilege necessary. Running applications with elevated privileges increases the potential damage if compromised.

9. Ignoring Scalability

Designing without scalability in mind can result in performance bottlenecks under increased load. Make scalability a priority during the architecture phase.

10. No Disaster Recovery Plan

A production environment without a disaster recovery or business continuity plan is vulnerable to extended downtime. Always prepare for failure to ensure a quick recovery.

11. Mixing Environments

Never use the production environment for development or testing purposes. Keeping development, testing, and production environments separate helps maintain data integrity and stability.

12. Lack of Documentation

Undocumented changes, configurations, and architecture lead to knowledge gaps, making maintenance and scaling efforts harder. Comprehensive documentation is key for sustainable development.

13. Ignoring User Feedback

User feedback helps identify issues and understand the needs of your audience. Ignoring this feedback can lead to a product that does not meet user expectations.

14. No Rollback Plan

Deployments can fail, and without a rollback strategy, you could face significant downtime. Always ensure there is a rollback mechanism in place for every deployment.

15. Overlooking Compliance and Regulations

Ignoring legal compliance requirements can result in legal actions, fines, or business limitations. Stay informed about regulations affecting your industry.

16. Excessive Customization

Over-customizing off-the-shelf software makes updates and maintenance challenging. Consider customization carefully, balancing it with future maintenance ease.

17. Neglecting Security Updates

Applying security patches promptly is critical for keeping systems secure. Delays in patching make your systems an attractive target for attackers.

Conclusion

Avoiding these 17 common pitfalls helps maintain a robust production environment that is resilient, secure, and capable of meeting user needs. Balancing innovation with operational stability ensures your software systems are reliable and future-proof.

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Herley Shaori
Herley Shaori

Written by Herley Shaori

I love to write about AWS and other related computer science topics.

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