Run To Failure vs Preventive Maintenance
Developers should consider Run To Failure for non-essential systems, prototypes, or low-risk components where downtime is acceptable and repair is straightforward meets developers should learn preventive maintenance to ensure the long-term health and performance of software systems, hardware, and development environments. Here's our take.
Run To Failure
Developers should consider Run To Failure for non-essential systems, prototypes, or low-risk components where downtime is acceptable and repair is straightforward
Run To Failure
Nice PickDevelopers should consider Run To Failure for non-essential systems, prototypes, or low-risk components where downtime is acceptable and repair is straightforward
Pros
- +It is useful in agile or lean development environments to avoid over-engineering and reduce maintenance overhead, such as in disposable infrastructure or during rapid experimentation phases
- +Related to: devops, agile-methodology
Cons
- -Specific tradeoffs depend on your use case
Preventive Maintenance
Developers should learn preventive maintenance to ensure the long-term health and performance of software systems, hardware, and development environments
Pros
- +It is crucial for maintaining production servers, databases, and CI/CD pipelines to avoid unexpected outages and data loss
- +Related to: devops, site-reliability-engineering
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Run To Failure if: You want it is useful in agile or lean development environments to avoid over-engineering and reduce maintenance overhead, such as in disposable infrastructure or during rapid experimentation phases and can live with specific tradeoffs depend on your use case.
Use Preventive Maintenance if: You prioritize it is crucial for maintaining production servers, databases, and ci/cd pipelines to avoid unexpected outages and data loss over what Run To Failure offers.
Developers should consider Run To Failure for non-essential systems, prototypes, or low-risk components where downtime is acceptable and repair is straightforward
Disagree with our pick? nice@nicepick.dev