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Better Stack for error tracking

Pick 3 of 4 for error trackingOfficialBetter Stack

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 a more complete error tracking platform than its ranking suggests. The server ships a full error-tracking tool group: error_list_applications, error_get_application_details, error_get_error_details, error_update_error_state, and error_list_releases cover the error lifecycle, while error_create_application handles onboarding. What it lacks compared to the top pick is deep stack-trace grouping and release-attribution deduplication. What it adds 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 covers both error tracking and uptime monitoring. On the error side, error_list_applications and error_get_application_details inventory tracked apps, error_get_error_details pulls the specifics of an individual error, error_update_error_state resolves or mutes it, and error_list_releases ties errors to a release for regression analysis. On the uptime side, uptime_list_monitors and uptime_get_monitor_details show what is being watched, uptime_get_monitor_availability and uptime_get_monitor_response_times quantify degradation, 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. Heartbeat tools confirm background jobs are still reporting in.

Sentry is the first pick here because its stack-trace grouping and release-attribution deduplication are deeper and more purpose-built. 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. Better Stack is the pick when you want error tracking and availability monitoring in one agent loop.

Tools you would use

ToolWhat it does
uptime_list_monitorsLists Uptime monitors, with filtering options.
uptime_get_monitor_detailsGets the configuration and status of a single monitor.
uptime_get_monitor_availabilityReturns availability/uptime statistics for a monitor.
uptime_get_monitor_response_timesReturns response-time data for a monitor.
uptime_list_heartbeatsLists heartbeat checks.
uptime_get_heartbeat_detailsGets the details of a single heartbeat.
uptime_get_heartbeat_availabilityReturns availability statistics for a heartbeat.
uptime_create_incidentCreates a new incident.
uptime_list_incidentsLists incidents, with filtering options.
uptime_get_incident_detailsGets the details of a single incident.
Full Better Stack setup and config →

FAQ

Does Better Stack group and de-duplicate errors like a dedicated error tracker?
It has error tools (error_get_error_details, error_update_error_state, error_list_releases) for inspecting and resolving individual errors and tying them to releases. What it lacks is the deep automatic stack-trace grouping and cross-release deduplication that a purpose-built tracker like Sentry provides. Pair Better Stack for the error-plus-availability view; reach for Sentry when grouping and dedup are the core need.
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.