Monitoring for Developers
Real-time uptime monitoring for everyone
Ship APIs, side projects, and internal tools with confidence. SitePulse gives you production-grade health checks, instant failure alerts, and zero-config monitoring you can spin up in under two minutes.
The Problem
Monitoring shouldn't be a second job
Most developers spend more time configuring Prometheus, wiring up Datadog dashboards, and debugging false-positive alerts than actually building features. If you're shipping APIs or running personal projects, you deserve monitoring that works the way you do.
You learn your API is down from a customer tweet
No health checks, no alerts, no redundancy. Your /v2/invoices endpoint returns 502s for forty-seven minutes and you find out because @jenna_builds posts a screenshot of her broken checkout flow on X.
Local dev feels nothing like production
You test your service on localhost:3000 where everything runs on LAN with zero latency. Then you deploy to a $5 DigitalOcean droplet and suddenly TLS handshakes, cold starts, and rate limits break assumptions you never caught in staging.
Setting up monitoring takes longer than the feature
You want to ship a webhook relay for your side project. Instead, you spend three evenings installing Grafana, writing Loki queries, and fighting with alertmanager routing rules — for a project that earns $42/month in Stripe revenue.
The Solution
Monitoring that fits into your workflow
SitePulse is built for developers who want visibility without the ops overhead. Add an endpoint, pick a channel, and get real-time alerts — no infrastructure to maintain.
API Health Checks Every 60 Seconds
Ping any HTTP(S) endpoint from six global locations. SitePulse validates response codes, TLS certificates, and response time thresholds. If your /healthz endpoint drifts above 800ms or returns a non-2xx status, you get a Slack or Discord notification within 30 seconds.
Local Development Simulation
Run sitepulse simulate --port 3000 and SitePulse injects synthetic latency, randomized timeouts, and TLS errors into your local server. Spot the failure modes in your error-handling path before they hit production.
Personal Project Monitoring, Zero Overhead
Add your side project's endpoint to SitePulse and get a public status badge for your README. Free tier includes 10 monitors, 60-second intervals, and email + webhook alerts. No credit card, no hidden limits, no 14-day trial that locks you out.
Code Examples
Automate your monitoring in minutes
Here's how real developers integrate SitePulse into their projects. Copy, adapt, and ship.
Python: Auto-register a health check endpoint
Use the SitePulse REST API to programmatically add your endpoint whenever you deploy.
import requests
SITEPULSE_API_KEY = "sk_live_7f3a9b2c1d4e8f6a0b5c"
HEADERS = {
"Authorization": f"Bearer {SITEPULSE_API_KEY}",
"Content-Type": "application/json",
}
payload = {
"name": "Invoice API — /v2/invoices",
"url": "https://api.invoicer.io/v2/healthz",
"interval_seconds": 60,
"expected_status": 200,
"max_response_time_ms": 800,
"alerts": [
{"channel": "slack", "webhook": "https://hooks.slack.com/services/T04/..."},
],
}
response = requests.post(
"https://api.sitepulse.io/v1/monitors",
headers=HEADERS,
json=payload,
)
print(f"Monitor created: {response.json()['id']}")
Bash: Local dev chaos simulation
Stress-test your local Express server by hammering it with randomized delays and injected 5xx responses.
#!/usr/bin/env bash
# simulate.sh — run alongside your local dev server
ENDPOINT="http://localhost:3000/api/status"
DURATION=120 # seconds
INTERVAL=2 # seconds between requests
echo "Starting simulation for ${DURATION}s..."
START=$(date +%s)
while [ $(( $(date +%s) - START )) -lt $DURATION ]; do
# Randomly inject a timeout (15% chance)
if [ $(( RANDOM % 100 )) -lt 15 ]; then
TIMEOUT=5
else
TIMEOUT=2
fi
HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
--max-time $TIMEOUT "$ENDPOINT")
if [ "$HTTP_CODE" -ge 500 ] || [ "$HTTP_CODE" -eq 000 ]; then
echo "[$(date '+%H:%M:%S')] FAILURE — HTTP $HTTP_CODE"
else
echo "[$(date '+%H:%M:%S')] OK — HTTP $HTTP_CODE"
fi
sleep $INTERVAL
done
echo "Simulation complete."
GitHub Actions: Deploy-time monitor validation
Fail your CI pipeline if your new deployment doesn't pass SitePulse's health check within 90 seconds of going live.
name: Deploy & Verify Uptime
on:
push:
branches: [main]
jobs:
deploy-and-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Deploy to Vercel
run: npx vercel --prod --token ${{ secrets.VERCEL_TOKEN }}
- name: Wait for SitePulse to confirm uptime
run: |
echo "Waiting 30s for cold start..."
sleep 30
for i in {1..6}; do
STATUS=$(curl -s \
--header "Authorization: Bearer ${{ secrets.SITEPULSE_API_KEY }}" \
"https://api.sitepulse.io/v1/monitors/m_4821/status")
echo "Check $i: $STATUS"
if echo "$STATUS" | grep -q '"state":"up"'; then
echo "All clear — monitor is healthy."
exit 0
fi
sleep 15
done
echo "Monitor still not healthy after 90s — failing CI."
exit 1
Monitoring for Developers
Real-time uptime monitoring for everyone
Ship APIs, side projects, and internal tools with confidence. SitePulse gives you production-grade health checks, instant failure alerts, and zero-config monitoring you can spin up in under two minutes.
The Problem
Monitoring shouldn't be a second job
Most developers spend more time configuring Prometheus, wiring up Datadog dashboards, and debugging false-positive alerts than actually building features. If you're shipping APIs or running personal projects, you deserve monitoring that works the way you do.
You learn your API is down from a customer tweet
No health checks, no alerts, no redundancy. Your /v2/invoices endpoint returns 502s for forty-seven minutes and you find out because @jenna_builds posts a screenshot of her broken checkout flow on X.
Local dev feels nothing like production
You test your service on localhost:3000 where everything runs on LAN with zero latency. Then you deploy to a $5 DigitalOcean droplet and suddenly TLS handshakes, cold starts, and rate limits break assumptions you never caught in staging.
Setting up monitoring takes longer than the feature
You want to ship a webhook relay for your side project. Instead, you spend three evenings installing Grafana, writing Loki queries, and fighting with alertmanager routing rules — for a project that earns $42/month in Stripe revenue.
The Solution
Monitoring that fits into your workflow
SitePulse is built for developers who want visibility without the ops overhead. Add an endpoint, pick a channel, and get real-time alerts — no infrastructure to maintain.
API Health Checks Every 60 Seconds
Ping any HTTP(S) endpoint from six global locations. SitePulse validates response codes, TLS certificates, and response time thresholds. If your /healthz endpoint drifts above 800ms or returns a non-2xx status, you get a Slack or Discord notification within 30 seconds.
Local Development Simulation
Run sitepulse simulate --port 3000 and SitePulse injects synthetic latency, randomized timeouts, and TLS errors into your local server. Spot the failure modes in your error-handling path before they hit production.
Personal Project Monitoring, Zero Overhead
Add your side project's endpoint to SitePulse and get a public status badge for your README. Free tier includes 10 monitors, 60-second intervals, and email + webhook alerts. No credit card, no hidden limits, no 14-day trial that locks you out.
Code Examples
Automate your monitoring in minutes
Here's how real developers integrate SitePulse into their projects. Copy, adapt, and ship.
Python: Auto-register a health check endpoint
Use the SitePulse REST API to programmatically add your endpoint whenever you deploy.
import requests
SITEPULSE_API_KEY = "sk_live_7f3a9b2c1d4e8f6a0b5c"
HEADERS = {
"Authorization": f"Bearer {SITEPULSE_API_KEY}",
"Content-Type": "application/json",
}
payload = {
"name": "Invoice API — /v2/invoices",
"url": "https://api.invoicer.io/v2/healthz",
"interval_seconds": 60,
"expected_status": 200,
"max_response_time_ms": 800,
"alerts": [
{"channel": "slack", "webhook": "https://hooks.slack.com/services/T04/..."},
],
}
response = requests.post(
"https://api.sitepulse.io/v1/monitors",
headers=HEADERS,
json=payload,
)
print(f"Monitor created: {response.json()['id']}")
Bash: Local dev chaos simulation
Stress-test your local Express server by hammering it with randomized delays and injected 5xx responses.
#!/usr/bin/env bash
# simulate.sh — run alongside your local dev server
ENDPOINT="http://localhost:3000/api/status"
DURATION=120 # seconds
INTERVAL=2 # seconds between requests
echo "Starting simulation for ${DURATION}s..."
START=$(date +%s)
while [ $(( $(date +%s) - START )) -lt $DURATION ]; do
# Randomly inject a timeout (15% chance)
if [ $(( RANDOM % 100 )) -lt 15 ]; then
TIMEOUT=5
else
TIMEOUT=2
fi
HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
--max-time $TIMEOUT "$ENDPOINT")
if [ "$HTTP_CODE" -ge 500 ] || [ "$HTTP_CODE" -eq 000 ]; then
echo "[$(date '+%H:%M:%S')] FAILURE — HTTP $HTTP_CODE"
else
echo "[$(date '+%H:%M:%S')] OK — HTTP $HTTP_CODE"
fi
sleep $INTERVAL
done
echo "Simulation complete."
GitHub Actions: Deploy-time monitor validation
Fail your CI pipeline if your new deployment doesn't pass SitePulse's health check within 90 seconds of going live.
name: Deploy & Verify Uptime
on:
push:
branches: [main]
jobs:
deploy-and-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Deploy to Vercel
run: npx vercel --prod --token ${{ secrets.VERCEL_TOKEN }}
- name: Wait for SitePulse to confirm uptime
run: |
echo "Waiting 30s for cold start..."
sleep 30
for i in {1..6}; do
STATUS=$(curl -s \
--header "Authorization: Bearer ${{ secrets.SITEPULSE_API_KEY }}" \
"https://api.sitepulse.io/v1/monitors/m_4821/status")
echo "Check $i: $STATUS"
if echo "$STATUS" | grep -q '"state":"up"'; then
echo "All clear — monitor is healthy."
exit 0
fi
sleep 15
done
echo "Monitor still not healthy after 90s — failing CI."
exit 1