Key Highlights
Motadata APM turns each exception into actionable, ranked work: searchable failure patterns, root-cause stack traces, and endpoint-level reliability data in one investigation view.
A searchable, filterable investigation view for all active failure patterns within your application.
Error Tracker Console: centralized, live error view with searchable status codes, failure patterns, and exception types.
Service, endpoint, environment, or status code filters to expose failure patterns relevant to the current investigation.
Error occurrence tracking per service and per endpoint.
Identification of operations with the highest failure frequency.
High-impact pattern identification distinguishes systemic failures from isolated incidents. Focus on patterns affecting the broadest set of requests.
Go from error event to root cause, with the context development teams need for immediate action.
Exception Drilldown shows occurrence trend alongside full stack trace for each error group.
See the failure's trajectory over time, plus the precise execution point where it originated.
Full stack trace captured at the point of failure.
Exception type, message, and surrounding execution context ready for developer handoff.
Root cause clarity and developer handoff readiness: exception detail in the context of its surrounding service calls.
Error group status tracking, active, growing, or resolved, after a fix is deployed.
Focus engineering effort on the errors that carry the highest business impact, not the highest raw volume.
Severity-Led Prioritization ranks error groups by error concentration and business impact. Direct attention to the failures that matter most, not the noisiest.
Error grouping by exception type and failure pattern reduces noise. One actionable group rather than thousands of duplicate events.
Error status tracking over the lifecycle, from detection through resolution.
Confirm that previously grouped patterns have stopped.
Focus fixes where error concentration and business impact are highest.
Monitor and improve API reliability by tracking route performance and error rates continuously.
Endpoint Health Monitoring tracks traffic, latency, success/failure rates, and error concentration per endpoint. Catch unstable routes before they impact users.
Error Breakdown: identify and drill into 4xx and 5xx errors per route.
Isolate failure-prone APIs with a clear view of where error concentration is highest.
One-Click Trace Access: dive into Trace Explorer from any endpoint, pre-filtered by route. Investigate instantly, no manual query construction required.
Identification of API routes with the highest error volumes for prioritization.
Standardize alerting and threshold behavior so performance signals consistently translate into action.
Policy-based controls standardize alerting rules and threshold behavior for services, endpoints, and environments.
When error rates breach configured policies, notifications route through defined workflows.
No manual intervention to trigger the right response.
Consistent alerting language throughout the portfolio so all teams respond using the same defined thresholds.
Governance at scale: each error-rate signal translates into action through standardized, policy-driven escalation paths.
Intelligence
Error investigation starts with a symptom: a failed endpoint, an error spike, or a user-facing failure. The cause lives in another service, spanning service calls, database interactions, and request parameters that no single view can reveal.
The Error Tracker Console displays all active failure patterns, filterable by status code and occurrence data, and Exception Drilldown pairs the occurrence trend with full stack trace for trajectory and origin together. Severity-Led Prioritization starts with the highest business-impact group, and API Endpoint Analytics shows where 4xx and 5xx errors concentrate, with one click opening the Trace Explorer pre-filtered to failed requests.
How It Works
Capture exceptions and HTTP errors with full stack traces from instrumented application code.
Group errors by exception type. Apply Severity-Led Prioritization to rank by business impact.
Present error groups in Error Tracker Console, searchable by status code, service, or endpoint.
Monitor endpoint health continuously, tracking traffic, latency, and error rates per route.
Access pre-filtered traces in one click from any endpoint or error group for fast investigation.
Apply policy-based governance to route error-rate alert signals to target notification channels.
All errors tracked. Each exception explained. Investigations starting at the right place.
Role-Based Value
Reduce the business impact of failures by compressing the time between error detection and root cause identification.
Reduce the business impact of failures by compressing the time between error detection and root cause identification.
Reduce escalation cycles by giving teams error-level evidence at the start of each investigation.
Reduce escalation cycles by giving teams error-level evidence at the start of each investigation.
Receive error alerts already grouped, ranked by Severity-Led Prioritization, and ready for investigation.
Receive error alerts already grouped, ranked by Severity-Led Prioritization, and ready for investigation.
Detect error increases in specific operations or API routes right after a deployment.
Detect error increases in specific operations or API routes right after a deployment.
From Visibility to Control
Error Tracker Console: a searchable, live view of each active failure pattern, filtered by service.
Exception Drilldown pairs occurrence trends with full stack traces for fast root cause and handoff.
Severity-Led Prioritization ranks error groups by concentration and impact, directing fix effort first.
API Endpoint Analytics tracks 4xx/5xx errors per route with one-click access to filtered trace evidence.
Error & Exception Ownership Clarity: full occurrence trends and stack traces isolate causes, assign fixes.
Governance Through Policy-Based Control standardizes alerting so each error signal drives consistent action.
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