Metrics Collection
Prometheus scrapes CPU, memory, request rate, error rate, and latency from every pod at a 15-second interval. Stored in Prometheus's time-series DB. Data is scoped to the logged-in user — no cross-tenant visibility.
Full visibility.Zero blindspots.
Read core metrics, live log streams, alert pressure, and service health in one place so your team can spot risk early and stay calm in production.
CPU Usage · api-gateway
Memory · api-gateway
Request Rate · all services
a8s.io / monitoring / team-prodspacer
Live · updates every 10s
P95 latency
189 ms
Healthy services
12 / 12
Open alerts
02
Req/s
8,420
Request latency · 6hMetrics, dashboards, alerts, and service health move together so every deployment comes with instant production context.
Alerts · team-prod2 firing
!
Webhook Latency SLO Breach1h 12m ago
warning
P99 2,400ms — exceeds 500ms threshold · payments · iad region
✓
Disk Alert Resolved5h ago
resolved
Disk usage returned to 42% after log rotation · payments · sin
Service Uptime · 90 days
99.98% avg
api-gateway99.99%
frontend100%
auth-service99.98%
payments98.2%
analytics99.95%
admin0%
email99.99%
Four pillars of observability
Every deployment comes with metrics collection, live dashboards, alerting, and log exploration automatically, scoped to your app.
Visualization
Grafana queries Prometheus when your dashboard loads and renders live charts for CPU, memory, requests, error rate, and latency. Charts update automatically — no page refresh needed.
Alert System
Alertmanager evaluates rules continuously. When a threshold is breached (e.g. CPU > 80% for 5 minutes, service down), alerts fire to configured channels and appear as dashboard notifications.
Log Streaming
Loki collected all pod logs. Users live-tail logs or search/filter by keyword, time range, or service directly in the UI. No kubectl or SSH access needed.
Monitoring capabilities
What your team can see in production.
A8S brings metrics, alerts, logs, scaling signals, and performance context into one monitoring flow so each project stays observable without extra setup.
Real-time metrics monitoring
Track CPU usage, memory usage, request rate, error rate, and latency per application with Prometheus and Grafana live charts directly in the dashboard.
User-scoped observability
Metrics and observability views stay isolated per user and project, so monitoring is multi-tenant safe with no cross-user visibility.
Alerts & notifications
Alertmanager evaluates rules like CPU > 80%, sends alerts through email, Slack, or webhooks, shows them in the dashboard, and auto-resolves them when systems return to normal.
Deployment log tracking
Build and deployment logs stream in real time during releases, so teams can follow pipeline output directly in the UI without switching tools.
Auto scaling visibility
See scale-up and scale-down events triggered by HPA and Prometheus metrics, with scaling behavior visible beside service health.
Performance & latency monitoring
Measure response time and throughput continuously to catch slow services early and understand how releases affect application performance.
Live stream
Every log line. Instantly.
Use the stream from every service, every region, and every environment to follow production behavior the moment a release lands.
Why teams keep this open
Spot rollout issues before users feel them.
Trace slow requests back to the exact service path.
Follow alert context with the logs that caused it.
Export the signal your incident review needs.
production-logs
Live tailTesting & audit
Confidence after every release.
Testing results and activity trails stay visible so your team can validate behavior, investigate incidents, and keep a cleaner operational history.
Testing & monitoring integration
Load testing, stress testing, performance testing, and failover testing can feed directly into monitoring so results are visualized in the same dashboard.
Audit & activity logs
Track user actions, deployment events, and optional database access logs for debugging, security reviews, and a more complete incident trail.