See everything.
Get paged when it breaks.
Events, metrics and alarms for everything you run on koigrid — a timeline of what happened, health metrics for your databases and caches, and threshold alarms by email. The built-in, flat-rate alternative to AWS CloudWatch.
CloudWatch is another product to wire up — and pay for
On AWS, logs, metrics, dashboards and alarms are a separate service billed per metric, per alarm, per GB of logs and per API call — and you still connect each resource to it. koigrid ships observability with every resource: a per-org event feed, real health metrics sampled from your databases and caches, and alarms — no extra service to configure, at a flat price.
How koigrid compares
| koigrid | AWS CloudWatch | |
|---|---|---|
| Event timeline per tenant | Built-in | Logs Insights (extra) |
| Resource health metrics | Sampled automatically (DB/Redis) | Per-metric, you wire it |
| Threshold alarms → email | Built-in | Alarms + SNS (extra) |
| Consumption metrics + cost | Built-in | Cost Explorer (separate) |
| Setup | Automatic with every resource | Per-resource, per-metric |
| Pricing | Included / flat | Per metric + alarm + GB logs + API |
| Query by API or AI agent | Native | API (complex) |
From public docs, 2026. koigrid samples DB/Redis health (connections, replication lag, memory, disk) into a time series and evaluates alarms on a tick.
What you actually watch in production
Event timeline
Every action, request and error for your organization — filter by type, severity, entity or time. Errors carry a citable errorRef.
Health metrics
Connections and replication lag for databases, memory and clients for caches, disk usage — sampled automatically into a time series.
Alarms by email
Alarm on consumption or on a resource-health metric (Redis memory > 80%, replication lag, disk full) — notified by email when it trips.
Consumption + cost
Daily series of CPU, memory, egress and requests, with a synthetic cost metric — no separate Cost Explorer.
Agent-native
Query events, metrics and alarms from Claude Code or any LLM via the API — your agent can watch its own workloads.
Nothing breaks in silence
The platform itself is monitored end-to-end; failures are caught and surfaced, not swallowed.