Total Visibility.No moreblind spots.
Monitor critical metrics, live log streams, alert pressure, and service health in one unified workspace. Empower your team to identify risks faster and manage production with confidence.
P99 2,400ms — exceeds 500ms threshold · payments · iad region
Disk usage returned to 42% after log rotation · payments · sin
The 4 Pillars of Observability
Every deployment comes pre-configured with automated metrics collection, live dashboards, alerting, and log exploration tailored for your app.
Metrics Collection
Prometheus scrapes CPU, memory, request rates, error rates, and latency from every pod every 15 seconds. Data is stored in a Prometheus time-series DB with strict isolation—no cross-tenant visibility.
Visualization
Grafana queries Prometheus on dashboard load to render live charts for system performance. Charts update automatically, eliminating the need for manual page refreshes.
Alert System
Alertmanager continuously monitors rules. When thresholds are breached (e.g., CPU > 80% for 5m), alerts are dispatched to configured channels and highlighted on the dashboard.
Log Streaming
Loki aggregates all pod logs. Users can live-tail logs or search/filter by keyword, time range, or service directly within the UI. No kubectl or SSH access required.
Monitoring capabilities
Full Production Insight for Your Team
A8S unifies metrics, alerts, logs, scaling signals, and performance context into a single flow, providing instant visibility for every project without extra setup.
Real-time metrics monitoring
Track CPU, memory, request rates, and latency for every application using Prometheus and Grafana live charts directly in your dashboard.
User-scoped observability
Metrics and observability views are isolated by user and project, ensuring secure multi-tenant monitoring with zero cross-user visibility.
Alerts & notifications
Alertmanager monitors rules like CPU usage, sends alerts via email/Slack/webhooks, and auto-resolves once the system stabilizes.
Deployment log tracking
Stream build and deployment logs in real-time during releases, allowing teams to monitor pipeline output without switching tools.
Auto-scaling visibility
Monitor scale-up and scale-down events triggered by HPA and Prometheus metrics to understand scaling behavior alongside service health.
Performance & latency monitoring
Continuously measure response times and throughput to catch slow services early and understand the performance impact of every release.
Live stream
Every log line, instantly
Stream from every service, region, and environment to track production behavior as releases go live.
Why teams keep this open
Identify rollout issues before users notice.
Trace slow requests back to the relevant service path.
Link alert context directly to the offending logs.
Export critical signals for post-incident reviews.
Testing & audit
Post-release Confidence
Testing results and activity trails are preserved for full visibility, allowing teams to validate behavior and maintain a clean operational history.
Integrated Testing & Monitoring
Load, stress, performance, and failover tests integrate directly with monitoring, visualizing results in the same unified dashboard.
Audit & Activity Logs
Track user actions, deployment events, and optional database access logs for debugging, security reviews, and comprehensive incident trails.