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24/7 Monitoring

We Watch So You
Don’t Have To.

Every endpoint. Every server. Every database. Checked every minute — and when something’s wrong, we know about it before your customers do.

By The Numbers

What “24/7 monitoring” actually means.

0%
Guaranteed Uptime
Contractual SLA on managed plans
0ms
Avg Response Time
Median across all managed apps
0
Checks Per Day
Every 60 seconds, around the clock
<0min
Alert Response Time
Detection to engineer notification
What We Monitor

Six layers. Every layer matters.

Most monitoring tools watch one thing. We watch the whole stack — because the thing that causes your app to fail is rarely the obvious one.

HTTP/HTTPS Endpoints
Every URL checked from multiple regions. Response codes, redirect chains, and SSL certificate expiry tracked.
Status codesSSL expiryResponse bodyRedirect chains
Server Resources
CPU, RAM, and disk usage tracked in real-time. Alerts before you run out — not after things crash.
CPU %RAM usageDisk spaceLoad average
Database Health
Query performance, connection pool usage, slow queries, index health. You see it before your users feel it.
Query timeConnectionsSlow queriesReplication lag
Application Errors
Error rates, stack traces, and exception frequency monitored per endpoint. Spike detection within seconds.
Error rate5xx spikeStack tracesException freq
Queue Health
Background job queues — backlog depth, processing rate, failed jobs, and stuck workers. Nothing silently stalls.
Queue depthProcessing rateFailed jobsWorker status
External Dependencies
Payment gateways, email providers, third-party APIs your app relies on. We track their uptime too.
StripeSendGridAuth APIsWebhooks
Alert System

You hear about it before your users do.

Our alert pipeline goes from detection to engineer notification in under 2 minutes. And for common failure patterns, the system starts fixing things before anyone wakes up.

step 01
Detection
Automated check fires. Anomaly or failure is confirmed across 2 checkpoints before triggering.
step 02
Classification
Severity assessed automatically: is it a blip, a degradation, or an outage? Different paths for each.
step 03
Notification
On-call engineer alerted in under 2 minutes via Slack, email, SMS, or PagerDuty — your choice.
step 04
Auto-Remediation
For known failure patterns: auto-restart, traffic reroute, cache flush — before humans even wake up.
Alert channels
Slack
Email
SMS
PagerDuty
Public Status Page

Your customers can see you’re up too.

Every managed app gets a public status page. Your customers know the system is healthy. When something happens, they see it in real time — with context, not silence.

All Systems Operational
Web App
Operational
API
Operational
Database
Operational
CDN
Operational
Email Delivery
Operational
90-day uptime99.97%
No incidents in the last 30 days
Real Incident, Real Response

Here’s what a resolved incident looks like.

A memory leak caused a production crash at 2am. Here’s the actual response timeline from detection to patch — 31 minutes, start to finish, and the founder slept through all of it.

2:14am
Spike in 5xx errors detected — error rate crossed 3% thresholdalert
2:15am
Alert sent to on-call engineer + posted to #incidents in Slackalert
2:16am
Auto-restart triggered on app server — known crash recovery patternauto
2:17am
App server recovered — error rate dropped to 0.0%resolved
2:22am
Root cause identified: memory leak in v2.3.1 file upload handlerauto
2:45am
Patch deployed to production (v2.3.2) — memory leak resolvedresolved
Total incident duration: 31 minutes
Auto-remediation resolved the immediate outage in 3 minutes. Root cause investigation and patch deployment completed without waking the founder.
Get Started

Stop finding out about problems from your customers.

We set up monitoring across your full stack in the first week. You get alerts, dashboards, a public status page, and an on-call engineer — without hiring anyone.