API Uptime in 2026: Who's Most Reliable?
·APIScout Team
api uptimereliabilityslamonitoringincident response
API Uptime in 2026: Who's Most Reliable?
API downtime costs money. Stripe goes down, you can't take payments. Auth0 goes down, users can't log in. AWS goes down, and half the internet goes with it. Here's who's most reliable, how to measure it, and how to build resilience into your integrations.
Uptime Benchmarks
What "Five Nines" Means
| Uptime | Downtime/Year | Downtime/Month | Realistic? |
|---|---|---|---|
| 99% | 3.65 days | 7.3 hours | Unacceptable for production |
| 99.9% | 8.77 hours | 43.8 minutes | Minimum for business APIs |
| 99.95% | 4.38 hours | 21.9 minutes | Good |
| 99.99% | 52.6 minutes | 4.38 minutes | Excellent |
| 99.999% | 5.26 minutes | 26.3 seconds | Marketing claim (rarely real) |
Reliability by Category
Payments (Business Critical)
| Provider | Published SLA | Observed Uptime (2025) | Notable Incidents |
|---|---|---|---|
| Stripe | 99.99% | ~99.97% | Payment delays, dashboard outages |
| PayPal | 99.95% | ~99.9% | Checkout failures, settlement delays |
| Square | 99.95% | ~99.95% | Minor API latency spikes |
| Adyen | 99.99% | ~99.98% | Regional outages |
Authentication
| Provider | Published SLA | Observed Reliability |
|---|---|---|
| Auth0 | 99.99% (Enterprise) | Generally good, occasional login delays |
| Clerk | 99.99% | Good track record |
| Firebase Auth | No published SLA | Tied to Google Cloud reliability |
| Okta | 99.99% | High-profile incidents in 2024-2025 |
Cloud Infrastructure
| Provider | Compute SLA | Observed | Impact of Outages |
|---|---|---|---|
| AWS | 99.99% (per region) | ~99.95% | Cascading — takes down many services |
| GCP | 99.95-99.99% | ~99.97% | Significant but less cascade |
| Azure | 99.95-99.99% | ~99.95% | Enterprise-impacting |
| Cloudflare | 100% SLA (Enterprise) | ~99.99% | Wide blast radius (CDN + DNS) |
AI APIs
| Provider | Published SLA | Observed Reliability |
|---|---|---|
| OpenAI | No public SLA | Variable — rate limits, capacity issues |
| Anthropic | No public SLA | Generally reliable, less capacity pressure |
| Google Gemini | 99.9% (Cloud) | Tied to GCP reliability |
| Groq | No public SLA | Good for inference speed, capacity limits |
How to Measure API Reliability
Key Metrics
| Metric | What It Measures | Target |
|---|---|---|
| Uptime | Is the API responding? | >99.9% |
| Latency (P50) | Median response time | <200ms |
| Latency (P99) | Tail latency | <1s |
| Error rate | % of requests returning 5xx | <0.1% |
| Throughput | Requests per second at peak | Depends on SLA |
| MTTR | Mean time to recovery | <30 minutes |
| MTTD | Mean time to detect | <5 minutes |
Monitoring Setup
// Simple API health check
async function checkApiHealth(name: string, url: string) {
const start = Date.now();
try {
const res = await fetch(url, {
signal: AbortSignal.timeout(5000),
});
const latency = Date.now() - start;
return {
name,
status: res.ok ? 'up' : 'degraded',
latency,
statusCode: res.status,
timestamp: new Date().toISOString(),
};
} catch (error) {
return {
name,
status: 'down',
latency: Date.now() - start,
error: error.message,
timestamp: new Date().toISOString(),
};
}
}
// Monitor critical APIs
const apis = [
{ name: 'Stripe', url: 'https://api.stripe.com/v1/charges' },
{ name: 'Auth0', url: 'https://YOUR_DOMAIN.auth0.com/authorize' },
{ name: 'OpenAI', url: 'https://api.openai.com/v1/models' },
];
Building Resilient Integrations
1. Circuit Breaker Pattern
class CircuitBreaker {
private failures = 0;
private lastFailure = 0;
private state: 'closed' | 'open' | 'half-open' = 'closed';
constructor(
private threshold: number = 5,
private timeout: number = 30000,
) {}
async execute<T>(fn: () => Promise<T>, fallback?: () => Promise<T>): Promise<T> {
if (this.state === 'open') {
if (Date.now() - this.lastFailure > this.timeout) {
this.state = 'half-open';
} else if (fallback) {
return fallback();
} else {
throw new Error('Circuit breaker is open');
}
}
try {
const result = await fn();
this.failures = 0;
this.state = 'closed';
return result;
} catch (error) {
this.failures++;
this.lastFailure = Date.now();
if (this.failures >= this.threshold) {
this.state = 'open';
}
if (fallback) return fallback();
throw error;
}
}
}
const paymentCircuit = new CircuitBreaker(3, 60000);
await paymentCircuit.execute(
() => stripe.charges.create({ amount: 2000, currency: 'usd' }),
() => queuePaymentForRetry({ amount: 2000, currency: 'usd' }),
);
2. Retry with Exponential Backoff
async function withRetry<T>(
fn: () => Promise<T>,
options: {
maxRetries?: number;
baseDelay?: number;
maxDelay?: number;
retryableErrors?: number[];
} = {}
): Promise<T> {
const {
maxRetries = 3,
baseDelay = 1000,
maxDelay = 30000,
retryableErrors = [429, 500, 502, 503, 504],
} = options;
for (let attempt = 0; attempt <= maxRetries; attempt++) {
try {
return await fn();
} catch (error: any) {
if (attempt === maxRetries) throw error;
const statusCode = error.status || error.statusCode;
if (statusCode && !retryableErrors.includes(statusCode)) throw error;
const delay = Math.min(
baseDelay * Math.pow(2, attempt) + Math.random() * 1000,
maxDelay
);
await new Promise(resolve => setTimeout(resolve, delay));
}
}
throw new Error('Unreachable');
}
3. Multi-Provider Failover
const aiProviders = [
{ name: 'anthropic', fn: () => callAnthropic(prompt) },
{ name: 'openai', fn: () => callOpenAI(prompt) },
{ name: 'google', fn: () => callGemini(prompt) },
];
async function aiWithFailover(prompt: string) {
for (const provider of aiProviders) {
try {
return await provider.fn();
} catch (error) {
console.warn(`${provider.name} failed, trying next...`);
}
}
throw new Error('All AI providers failed');
}
4. Graceful Degradation
async function getProductRecommendations(userId: string) {
try {
// Try AI-powered recommendations
return await aiRecommendations(userId);
} catch {
try {
// Fallback: popularity-based
return await getPopularProducts();
} catch {
// Final fallback: static list
return DEFAULT_PRODUCTS;
}
}
}
Status Page Best Practices
For API Providers
A good status page includes:
| Element | Why |
|---|---|
| Real-time status per service | Users know which part is affected |
| Historical uptime (90 days) | Builds trust |
| Incident timeline | Shows response speed |
| Subscription notifications | Email/webhook alerts |
| API endpoint for status | Programmatic monitoring |
Best status pages: Stripe (status.stripe.com), Cloudflare, GitHub, Vercel.
For API Consumers
Don't just check the status page — monitor yourself:
- Status pages can be delayed (5-15 min lag)
- Some issues affect your region/use case but not others
- Partial degradation may not trigger status page updates
Common Mistakes
| Mistake | Impact | Fix |
|---|---|---|
| No monitoring on third-party APIs | Don't know it's down until users report | Monitor all critical API dependencies |
| Trusting the status page alone | Delayed updates, partial outages missed | Run your own health checks |
| No retry logic | One failed request = failed user action | Implement retry with backoff |
| Same retry for all errors | Retrying 400s wastes time | Only retry 429 and 5xx |
| No fallback plan | Vendor outage = your outage | Define degraded mode for each dependency |
| No SLA tracking | Can't hold vendors accountable | Log uptime, latency, error rates |
Check API reliability ratings on APIScout — we track uptime, latency, and incident history for hundreds of APIs.