Key Highlights
Motadata APM tracks live KPIs per service and endpoint, response time, P99, throughput, and error rate, surfacing threshold breaches and instability before users feel them.
Identify the most critical services instantly with card-level KPI metrics.
Service Performance Dashboard highlights critical services instantly with response, throughput, and error cards.
Key Performance Indicators per service: Response Time, P99, Total Requests, Throughput, Error Count, and Error %.
P99 latency per service: the tail behavior indicator that exposes slow requests average metrics conceal.
Unified KPI view over all instrumented services gives the portfolio-level health picture before any single trace is examined.
Instantly detect bottlenecks with tile-based visibility powered by up-to-the-minute metrics for each service.
Explorer Tiles: snapshot cards showing performance for multiple services at once.
Response time, error rate, and throughput per service for rapid cross-service triage.
Custom Attribute Segmentation: filter and drill by environment, version, endpoint, host, or tenant. Isolate the dimension where performance is degrading. No manual queries required.
One-Click Trace Access: from any Explorer Tile, drill directly into traces, errors, database behavior, JVM context, and logs.
APM Explorer is not a read-only dashboard. It is the entry point to the Single Investigation Workspace.
Detect instability in specific transaction types and pinpoint dominant operations before they affect service-level averages.
Transaction Trends: track Trace Count, Trace Duration, and Traces with Errors over time per transaction type. Detect instability in specific operations before service-level KPIs reflect it.
Root Span Summary Grid: structured view of root spans with their Traces, Spans, Trace Duration, and Error Count.
Show the operations generating the most noise at a glance.
Trace Journey Drilldown: from any root span in the grid, navigate directly into the full trace journey for that transaction type.
Transaction-level granularity exposes problems service-level averages conceal.
A specific operation can degrade while overall service metrics look healthy.
From any performance KPI, move directly into traces, errors, hosts, metrics, logs, databases, and JVM insights.
Unified navigation: each KPI card, Explorer Tile, and transaction trend is a starting point for deeper investigation, not a read-only metric.
Full-stack correlation: determine whether an issue originates in application code, JVM, database, or infrastructure.
Aligned visual evidence makes the source clear.
Navigation from a latency spike on a KPI card to JVM heap state, host metrics, or log events for the same time window, all within the same APM workspace.
Single workflow from KPI to root cause removes the context-switching and manual reconstruction that previously defined performance investigation.
Standardize alerting and threshold behavior so performance signals consistently translate into action.
Policy-based controls standardize alerting rules and threshold behavior uniformly for services, endpoints, and environments.
When KPIs breach configured policies, notifications route through defined workflows.
No manual intervention to trigger the right response.
SLA adherence tracking: measure application performance against committed targets with configurable measurement windows.
Governance at scale: set consistent definitions of "degraded" throughout the portfolio so all services operate against the same performance language.
Intelligence
Average response time is the most reported yet least informative metric on its own. A healthy aggregate can hide poor experience for subsets of users or degradation in a specific operation or endpoint.
Transaction Trends catch operation-level issues invisible to service averages, and Root Span Summary Grid exposes dominant operations early so teams act on a specific root span. APM Explorer with Explorer Tiles shows which services and endpoints diverge within the portfolio, Custom Attribute Segmentation isolates the degrading dimension by environment, version, endpoint, or tenant, and Single Investigation Workspace turns checking JVM state, host metrics, or logs into one navigation.
How It Works
Collect request timing from instrumented services. Each request generates spans with duration and outcome.
Calculate live KPIs (Response Time, P99, Throughput, Error %) per service and per endpoint.
Display KPI summary cards on the Service Performance Dashboard for immediate operation prioritization.
Populate APM Explorer Tiles with current KPI snapshots to enable rapid cross-service health triage.
Highlight Transaction Trends and Root Span Summary Grid to expose operation instability early.
Apply policy-based governance rules to route KPI anomaly alerts directly to designated teams.
Performance data that tells the complete story: the operation-level instability that service averages conceal, and the investigation path that leads directly to root cause.
Role-Based Value
Report application performance against actual SLA commitments rather than engineering-internal thresholds.
Report application performance against actual SLA commitments rather than engineering-internal thresholds.
Standardize performance measurement across applications using consistent KPI definitions and policy-based governance.
Standardize performance measurement across applications using consistent KPI definitions and policy-based governance.
Use APM Explorer for cross-service triage before diving into individual traces.
Use APM Explorer for cross-service triage before diving into individual traces.
Validate performance commitments after each deployment by comparing post-release KPIs against pre-release baselines.
Validate performance commitments after each deployment by comparing post-release KPIs against pre-release baselines.
From Visibility to Control
Service Performance Dashboard: card-level response, throughput, and error metrics find critical services in seconds.
KPIs: Response Time, P99, Total Requests, Throughput, Error Count, Error %, all at service and endpoint level from a unified dashboard.
APM Explorer gives tile-based cross-service triage with Custom Attribute Segmentation and one-click trace access.
Transaction Trends and Root Span Summary Grid: detect instability in specific operations before service averages reflect it.
Trace Journey Drilldown: navigate from any root span to the full trace journey for complete operational context.
Single Investigation Workspace: from any KPI, one click reaches traces, errors, hosts, metrics, logs, and JVM.
Governance Through Policy-Based Control: standardize alerting and threshold behavior throughout the full application portfolio.
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