Application Performance Monitoring
From Code to Cloud. Complete Visibility.
Monitor application performance across distributed systems. Gain complete stack visibility from code-level insights to business metrics with zero-overhead instrumentation, powered by Motastore for real-time correlation of traces, metrics, and logs.
Application Performance Monitoring Capabilities
Full-stack observability with deep trace intelligence across every service and dependency.
Unified Service Overview & APM Explorer
A single operational cockpit to instantly spot performance hotspots and map dependency-driven impacts using real-time application monitoring signals
- Application Dependency Mapping – Leverage auto-discovery to visualize upstream and downstream interactions, helping you pinpoint bottlenecks across distributed architectures.
- Explorer Tiles & Core KPIs – Assess the health of multiple services briefly tracking Response Time, Throughput, and Error percentage for a standard capability of the best application performance monitoring tools.
- Click-Through Workflows – Filter by custom attributes or navigate seamlessly into Transactions, Errors, and Logs for deep, end-to-end application monitoring.
Transaction & Root-Span Prioritization
Leverage transaction-level trends and root-span prioritization to focus on high-impact operations.
- Transaction Trends – Track Trace Count, Trace Duration, and Traces with Errors to proactively detect instability patterns before they impact your users.
- Root Span Summary Grid – Surface your most dominant operations quickly by analyzing root spans alongside trace durations and error counts.
- Trace Journey Drilldown – Dive straight from the root span into the full trace journey, equipping your team with the operational context needed for effective application performance monitoring.
JVM Deep Visibility
Get comprehensive insights into JVM performance to address runtime bottlenecks, memory pressure, and thread behavior.
- JVM Health Metrics – Deploy advanced application performance tools to monitor CPU utilization, memory usage, heap/non-heap space, and garbage collection statistics.
- GC Insights – Analyze garbage collection events and their system impact to optimize memory usage and prevent costly application stalls.
- Thread Activity & Class Monitoring – Track live, daemon, and sleeping thread states alongside class loading activity to spot potential memory leaks before they disrupt your apm software.
Error Tracker & Exception Intelligence
Turn failures into actionable work—track, drill down, and close the loop.
- Error Tracker Console – Searchable, filterable error view with status codes and failure patterns.
- Exception Drilldown – Occurrence trend + stack trace for root cause clarity and dev handoff readiness.
- Severity-Led Prioritization – Focus fixes where error concentration and business impact are highest.
API Endpoint & Database Analytics
Ensure complete visibility across your stack by monitoring API route reliability and capturing contextual database activity.
- Endpoint Health & Error Breakdown – Track traffic and latency per endpoint, and easily isolate failure-prone routes by drilling into 4xx/5xx error concentrations essential for cloud application performance monitoring.
- Database Operations Tracking – Capture detailed query execution, latency, and throughput seamlessly as part of your comprehensive application performance monitoring software.
- Contextual Insights & Tracing – Correlate trace data directly with database activity and jump seamlessly from any endpoint into a pre-filtered Trace Explorer. This full-stack capability cements our platform among elite application performance monitoring solutions.
Outcomes That Drive Growth
65% Reduction in MTTR
through automated performance anomaly detection
80% Faster root cause analysis
with distributed tracing and code-level diagnostics
<1ms Instrumentation overhead
with zero-impact auto-instrumentation
Full-Stack Performance Intelligence for High-Velocity Enterprises
From distributed traces to digital transactions, from code hotspots to service latency — delivering the visibility, intelligence, and control required to run modern applications at enterprise scale.
Deep Distributed Intelligence for Complex Architectures
Enterprises run hybrid applications that span monoliths, microservices, containers, and cloud-native platforms. Motadata provides OpenTelemetry-native tracing, code-level analytics, flame graphs, span correlation, and dependency maps that reveal exactly how applications behave across distributed topologies. This empowers SREs and engineering leaders to diagnose performance degradation with precision instead of guesswork.
Predictive Performance & User Experience Assurance
Application performance impacts revenue, retention, and digital trust. Motadata uses AI baselines, dynamic thresholds, scatter-plot latency analysis, and anomaly forecasting to identify bottlenecks before they impact customers. IT Directors gain the foresight to prevent slowdowns; digital teams protect the quality of every user interaction.
Vendor-Neutral Observability from Code to Cloud
Today’s enterprise applications incorporate diverse languages, runtimes, clouds, databases, and orchestration layers. Motadata provides wide-tech compatibility across Java, .NET, PHP, Node.js, Python, Kubernetes, Docker, and multi-cloud infrastructure — ensuring deep visibility without vendor lock-in. This future-proofs enterprise modernization journeys and supports continuous innovation.
Unified Correlation for Faster, Confident Root Cause Analysis
Enterprises need answers, not data fragments. Motadata correlates APM signals with logs, host metrics, JVM analytics, DB KPIs, network flow, and infrastructure telemetry in real time — creating a single, contextual root-cause narrative. This reduces MTTR dramatically and transforms war rooms into focused, resolution-driven collaborations.
Why Motadata Leads
From Application Performance to Business Insights — Motadata Powers Complete Observability.
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Zero-Overhead Instrumentation
Automatically instrument applications without requiring any code changes, ensuring zero performance degradation and seamless deployment across environments.
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Advance Anomaly Detection
Advanced machine learning continuously analyzes performance patterns to proactively detect anomalies and surface issues before they impact end users.
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Full-Stack Correlation
Unify application performance data with infrastructure metrics, logs, traces, and real user insights to gain complete end-to-end visibility across your entire stack.
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Intelligent Auto-Remediation
Automatically trigger predefined runbooks, workflows, and remediation actions in response to detected performance anomalies to reduce downtime and manual intervention.
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Multi-Language Support
Built-in native support for Java, .NET, Node.js, Python, Go, and additional languages, enabling consistent monitoring across diverse and modern technology stacks
Motadata AI-Powered NMS
The Perfect Solution
For Automated Network Performance Monitoring
Monitor every bit of your IT infrastructure with a multi-vendor Network Management System.
On-Premises
Private Cloud
Public Cloud- Monitors & optimizes the entire IT infrastructure.
- Monitors the network ensuring maximum uptime.
- Provides customizable dashboards and widgets.
- Provides actionable operational intelligence insights.
Explore Application Performance Monitoring
Log Analytics Powered by Motadata Saves your Company’s Time and Money by Smartly Monitoring the Logs and Discovering Powerful Actionable Insights from the Analytics.
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Motadata NMS
Your One-Stop Solution for Entire IT Infrastructure
Motadata’s unified NMS services offer a highly scalable AI-driven solution for Service Assurance, Orchestration & Automation, enabling companies to meet their network management objectives. Motadata will also give you network observability with a comprehensive application and infrastructure perspective, so you can find and fix issues quickly.
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Our APM supports Java, .NET, Node.js, Python, PHP, Ruby, and Go applications across monolithic, microservices, and serverless architectures. Monitor applications running on virtual machines, containers, Kubernetes, and cloud platforms with auto-instrumentation and comprehensive language agent support for complete application visibility.
Distributed tracing follows requests across all application tiers and services using OpenTelemetry standards. APM captures trace context, correlates spans across service boundaries, visualizes request flows through flame graphs and service maps, and identifies latency bottlenecks at the transaction level. This enables rapid troubleshooting of performance issues in complex distributed systems.
No. Our APM uses auto-instrumentation with lightweight agents that require zero code changes. Simply install the agent alongside your application to automatically capture transactions, trace requests, monitor database queries, and track external service calls. For advanced use cases, optional manual instrumentation provides custom metrics and business transaction tracking.
APM provides deep database monitoring with slow query detection, execution plan analysis, connection pool metrics, and database operation tracing. Monitor SQL and NoSQL databases including MySQL, PostgreSQL, Oracle, MongoDB, Redis, and more. Track query performance, identify N+1 queries, analyze deadlocks, and correlate database issues with application transactions.
APM is purpose-built for microservices with Kubernetes-native monitoring, service mesh integration, container-aware instrumentation, and dynamic service discovery. Track inter-service dependencies, monitor pod health, correlate application and infrastructure metrics, and visualize service topology automatically as your containerized environment scales and changes.