SLO Calculator SRE Tool
Calculate Service Level Objectives and error budgets. Determine allowed downtime for your target uptime percentage over a specified period.
Documentation
What is SLO?
Service Level Objectives (SLOs) define the target level of service reliability. They are typically expressed as a percentage of uptime over a time period, representing how much downtime is acceptable.
SLOs help teams balance reliability with development velocity by providing clear targets for system availability.
Key Concepts
- SLO: Target percentage of time the service should be available
- Error Budget: Amount of downtime allowed while meeting SLO
- Burn Rate: How quickly you're consuming your error budget
- SLA: Contractual agreement based on SLOs
Common SLO Targets
Calculate error budgets for different SLO targets and time periods:
99.9% SLO - 30 Days
Common Target99.95% SLO - 30 Days
High Availability99.99% SLO - 30 Days
Critical Systems99.999% SLO - 30 Days
Ultra ReliableCalculation Formula
Where:
- Total Time: Time period in minutes (days × 24 × 60)
- SLO%: Target uptime percentage (e.g., 99.9)
- 100% - SLO%: Error budget percentage
This SLO Calculator is implemented using pure JavaScript with no external dependencies. It calculates error budgets based on Service Level Objectives using precise mathematical formulas.
Step-by-Step Code Breakdown
1. Input Validation
Validate that SLO is between 0 and 100, and days is positive:
if (slo < 0 || slo > 100 || days <= 0) {
return '<p>Invalid input values.</p>';
}
// Ensures SLO percentage is valid and time period is positive
2. Total Time Calculation
Calculate total time in minutes for the specified period:
const totalMinutes = days * 24 * 60;
// Converts days to minutes (24 hours/day × 60 minutes/hour)
This gives us the total time window for measuring the SLO.
3. Error Budget Calculation
Calculate allowed downtime in minutes using the SLO formula:
const allowedDowntimeMinutes = totalMinutes * (100 - slo) / 100;
// Error budget = total time × (100% - SLO%) ÷ 100%
This is the core calculation that determines how much downtime is acceptable.
4. Unit Conversions
Convert the result to different time units for better readability:
const allowedDowntimeHours = allowedDowntimeMinutes / 60;
const allowedDowntimeDays = allowedDowntimeHours / 24;
// Convert minutes to hours and days for display
Provides multiple time formats to help users understand the impact.
5. Human-Readable Format
Convert fractional minutes to minutes and seconds:
const minutes = Math.floor(allowedDowntimeMinutes);
const seconds = Math.round((allowedDowntimeMinutes - minutes) * 60);
// Extract whole minutes and remaining seconds
Creates a more intuitive display format (e.g., "43m 12s").
SLO Planning
- Start realistic: Begin with achievable SLOs (99-99.9%) and improve over time
- Consider user impact: Different services may need different SLO targets
- Include error budgets: Plan for incidents and maintenance windows
- Regular review: Reassess SLOs quarterly based on business needs
- Document trade-offs: Explain the cost-benefit of higher SLO targets
Monitoring & Alerting
- Track burn rate: Monitor how quickly you're consuming error budget
- Set up alerts: Alert when approaching error budget limits
- Use dashboards: Visualize SLO compliance over time
- Incident response: Have procedures for when SLOs are at risk
- Post-mortems: Analyze incidents and their impact on SLOs
Error Budget Management
- Spend wisely: Use error budget for planned improvements
- Prevent exhaustion: Slow down releases when budget is low
- Team autonomy: Give teams control over their error budgets
- Graduated responses: Different actions at 50%, 80%, 100% budget used
- Reset periods: Define when error budgets reset (monthly/quarterly)
Practical Applications
Capacity Planning
Determine realistic uptime targets for infrastructure investments and scaling decisions.
Incident Response
Know how much downtime you can afford before violating service level agreements.
Team Communication
Set clear expectations with stakeholders about service reliability and trade-offs.
Cost Optimization
Balance reliability costs with business value and user experience requirements.