SocioFi
Technology

AI-Native Development: Human Verified

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Monitoring

We Watch Everything.
Around the Clock.

30-second check intervals. 5 global monitoring locations. 8 layers of your stack, all watched simultaneously. Automated classification, human response — every time something goes wrong.

30s
Check interval
5
Global locations
8
Monitoring layers
24/7
Human on-call
8 Monitoring Layers

Every layer of your stack, under observation.

Click any layer to see exactly what we monitor, how, and what triggers an alert. All 8 layers run simultaneously, every 30 seconds.

Uptime
HTTP/HTTPS endpoints, TCP health
30s intervals
2 consecutive failures

Every endpoint in your application is checked from 5 global locations every 30 seconds. Two consecutive failures from at least two locations trigger an immediate P1 alert — eliminating false positives from transient network issues.

Tooling
Synthetic HTTP checks
Coverage
5 global nodes
Data retention
12 months
Response Time
Page load speed, API endpoint latency
Real-time
>2s P95 latency

We track P50, P95, and P99 response times across all your public and internal endpoints. Degradation trends alert us before users notice — a slow app is often a warning sign of an imminent outage.

Tooling
APM instrumentation
Coverage
All endpoints
Data retention
90 days
Error Rate
5xx responses, unhandled exceptions, stack traces
Real-time
>1% error rate

Application-level error tracking captures every unhandled exception, grouped by type and frequency. We triage alerts immediately — high-error-rate events get a human response within SLA, not just an automated notification.

Tooling
Error tracking + log aggregation
Coverage
Application-wide
Data retention
30 days
Database
Query speed, connection pool, disk usage
Continuous
>500ms slow queries

Database health is one of the earliest failure signals. We monitor query execution times, connection pool saturation, disk I/O, and replication lag. Slow query alerts let us fix performance issues before they cascade into downtime.

Tooling
DB metrics + query analysis
Coverage
All connected databases
Data retention
60 days
Security
CVE feeds, dependency audit, access logs
Weekly scan + continuous auth
Any critical CVE

Security monitoring runs on two tracks: scheduled dependency audits against live CVE databases, and continuous monitoring of authentication events and access patterns. Anomalous login attempts trigger immediate investigation.

Tooling
CVE scanner + access log analysis
Coverage
Infrastructure-wide
Data retention
12 months (compliance)
SSL/TLS
Certificate validity, expiry, TLS grade
Daily
<30 days to expiry

SSL certificate failures take services down instantly — and they are entirely preventable. We check your certificates daily, alert at 30 days to expiry, and ensure your TLS configuration achieves an A+ rating on SSL Labs.

Tooling
SSL Labs integration
Coverage
All domains
Data retention
Certificate history
Dependencies
Third-party API status, external services
Continuous
Any degradation

Modern applications depend on external services — payment processors, email providers, cloud infrastructure. We monitor the status pages and health endpoints of every third-party service in your stack, so we know when Stripe or AWS is causing issues before you do.

Tooling
Status page aggregation
Coverage
All integrations
Data retention
30 days
Performance
Core Web Vitals: LCP, INP, CLS
Real-time synthetic + field data
Below "good" threshold

Core Web Vitals directly affect search ranking and user retention. We run synthetic performance tests from real browsers and collect field data from actual user sessions. Regressions from code deploys are caught within minutes.

Tooling
Lighthouse + RUM
Coverage
Key user journeys
Data retention
90 days
For AI Agents

Agent monitoring is a different problem.
We've built for it.

Traditional monitoring tells you if a server is up. Agent monitoring tells you if your AI pipeline is producing quality outputs, completing tasks reliably, and staying within cost bounds.

Agent Health
Are your AI agents running, responding, and completing tasks without errors or timeouts?
Accuracy Drift
Monitoring output quality over time to detect model drift or prompt degradation before it affects users.
Task Completion Rate
Percentage of agent tasks that complete successfully versus those that fail, timeout, or require fallback.
Latency
End-to-end response times for agent pipelines — from trigger to output — tracked at P50, P95, and P99.
Human Escalation Rate
How often agents route to human review. Rising escalation rates are an early signal of agent degradation.
Cost per Invocation
Token usage and API cost per agent run, tracked over time to catch unexpected cost spikes early.
Agent monitoring is included in Growth and Scale plans, or available as a $199/mo add-on for Essential clients. Includes all 6 metrics above, plus a monthly agent health report. Learn about our AI agent capabilities →
Your Dashboard

Visibility you didn't have before.

Every Services client gets access to a real-time monitoring dashboard. Your uptime history, recent incidents, current performance, and open alerts — all in one place.

You can check your software's health anytime. But more importantly, we're checking it every 30 seconds so you don't have to.

System Overview
Live
99.97%
Uptime — last 90 days
142ms
Avg response
0.03%
Error rate
2
Open alerts
Recent events
API /v2/users — Response time elevatedResolved
SSL cert renewal — api.example.comResolved
DB slow query — products tableResolved
Response time — 28 days
Alert Flow

From detection to resolution, here's what happens.

01
Detection
< 30 seconds
Monitoring checks fire every 30 seconds across all 8 layers. A failure is recorded the moment a threshold is breached.
Automated system
02
Classification
< 60 seconds
Automated rules classify the event as P1, P2, P3, or P4 based on severity, affected surface area, and historical patterns.
Automated + on-call engineer
03
Alert
Immediate (P1/P2)
P1 and P2 events trigger simultaneous Slack, SMS, and email notifications to the on-call engineer and the client.
Client notified immediately
04
Human Response
Within SLA
A human engineer acknowledges the incident within the SLA window and begins active investigation. No automated-only responses for P1/P2.
SocioFi engineer

Automated detection. Human response. Every time.

Get Started

Stop finding out from your customers.

Full-stack monitoring active within 48 hours of onboarding. More visibility into your software than you've ever had before.