Why You Must Include Logging and Monitoring
An explanation of why logging and monitoring systems should be included in outsourced software development, the problems that arise without them, and the appropriate costs involved.
- •Without logging or monitoring, identifying the root cause of an outage can take hours to days; with them, it takes just minutes.
- •Even for MVPs, error logging and server health alerts are essential (free tools are available).
- •30-50% of maintenance costs go toward "root cause analysis," and logging dramatically reduces this cost.
Problems That Arise Without Monitoring
Scenario 1: "The service is down"
Users report a service outage. But without monitoring:
Cannot tell when the problem started
Cannot identify which feature is affected
No error logs to determine the cause — only guesswork
Root cause analysis takes hours to days
Users continue to churn in the meantime
Scenario 2: "It suddenly got slow"
The service becomes progressively slower but the cause is unknown:
CPU/memory usage is unknown, so it is unclear whether the issue is the server or the code
DB query performance is not monitored, making it impossible to find the bottleneck
API response times are not measured, so nobody knows what is slow
Scenario 3: "I think we were hacked"
Abnormal access goes undetected:
No login attempt records to confirm an attack
No access logs to determine what data was exposed
No supporting evidence when reporting to authorities
With monitoring in place, root cause identification within minutes and immediate response is possible in all of these scenarios.
Minimum Logging and Monitoring Requirements
Even with a limited budget, the following must be included.
Essential (Starting from MVP):
Recommended (Production Stage):
Advanced (Large-Scale Services):
| Stage | Tools | Monthly Cost |
|---|---|---|
| MVP | Sentry (free) + CloudWatch (basic) | 0 KRW |
| Production | Sentry (paid) + Datadog | 50,000-300,000 KRW |
| Large-Scale | Datadog + ELK | 300,000-1,000,000+ KRW |
How Logging Reduces Maintenance Costs
Breaking down the structure of maintenance costs:
Without Monitoring:
1. User incident report received (30 min to hours later)
2. Attempt to reproduce the issue (1-4 hours)
3. Guess at cause and debug (2-8 hours)
4. Fix and deploy (1-2 hours)
5. Total: 4-16 hours
With Monitoring:
1. Automatic alert received (immediate)
2. Identify cause from logs (10-30 minutes)
3. Fix and deploy (1-2 hours)
4. Total: 1-3 hours
The most time-consuming part of maintenance is "root cause analysis." Logging shortens this process by 5-10x.
Annualized: 2 incidents per month x 12 months = 24 incidents
Without monitoring: 24 incidents x 10 hours x 100,000 KRW = 24,000,000 KRW
With monitoring: 24 incidents x 2 hours x 100,000 KRW = 4,800,000 KRW
Savings: 19,200,000 KRW per year (over 10x ROI compared to monitoring setup costs)
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