Better Stack for error tracking
Better Stack's official server is the third of four picks for error tracking, and it earns that spot from a specific angle: it ties an error spike to whether your service is actually up. The tools it exposes center on uptime monitoring and incidents, so its real contribution is judging whether a wave of errors is a transient blip or a user-facing outage.
It is not a dedicated error tracker in the way the top pick is. There is no stack-trace grouping or release-attribution tool here. What it does well is the impact question that error tracking always raises next: is this error correlated with downtime, and should it become an incident.
How Better Stack fits
The toolset is monitor-and-incident shaped. uptime_list_monitors and uptime_get_monitor_details show what is being watched and its current state, while uptime_get_monitor_availability and uptime_get_monitor_response_times quantify whether the spike lines up with degraded availability or latency. uptime_create_incident promotes a real problem into a tracked incident, and uptime_list_incidents, uptime_get_incident_details, uptime_get_incident_timeline, and uptime_get_incident_comments let the agent read the history and the response. Heartbeat tools (uptime_list_heartbeats and friends) confirm that background jobs are still reporting in.
Sentry is the first pick here because it is built for the error itself: capturing the exception, grouping it, and tying it to a release, which is the core of error tracking. Datadog spans errors alongside metrics, logs, and traces in one platform. Honeycomb is the match for high-cardinality debugging when you need to slice events by arbitrary attributes to find why an error fires. Use Better Stack alongside one of them to answer the availability-impact question, not as the primary error store.
Tools you would use
| Tool | What it does |
|---|---|
| uptime_list_monitors | Lists Uptime monitors, with filtering options. |
| uptime_get_monitor_details | Gets the configuration and status of a single monitor. |
| uptime_get_monitor_availability | Returns availability/uptime statistics for a monitor. |
| uptime_get_monitor_response_times | Returns response-time data for a monitor. |
| uptime_list_heartbeats | Lists heartbeat checks. |
| uptime_get_heartbeat_details | Gets the details of a single heartbeat. |
| uptime_get_heartbeat_availability | Returns availability statistics for a heartbeat. |
| uptime_create_incident | Creates a new incident. |
| uptime_list_incidents | Lists incidents, with filtering options. |
| uptime_get_incident_details | Gets the details of a single incident. |
FAQ
- Does Better Stack group and de-duplicate errors like a dedicated error tracker?
- Not through the tools exposed here. This server's tools are uptime monitors and incidents, so it tells you whether errors coincide with downtime, not how to group a stack trace by release. Pair it with Sentry, which is built for that, and is the top pick for error tracking.
- What is Better Stack actually best at for error work?
- Deciding impact. Using uptime_get_monitor_availability and uptime_get_monitor_response_times, an agent can check whether an error spike corresponds to a real availability or latency drop, then open a tracked incident with uptime_create_incident if it does.