Find bottlenecks, not just symptoms
Distributed tracing, golden signals, and cross-signal correlation. Connect traces to logs and metrics in one click - no manual correlation needed.
The Limitations Every Team Faces
Traditional APM tools show you symptoms but leave you guessing about root causes. You see latency spikes but can't trace them to specific code paths, database queries, or service dependencies.
Latency spikes appear but you can't pinpoint which database query, API call, or service is the culprit. Manual investigation takes hours.
Traces, metrics, and logs live in separate tools. Manual correlation across signals is time-consuming and error-prone.
Traditional APM requires manual analysis across separate tools. No unified correlation between traces, logs, and metrics.
New deployments cause performance degradation, but you can't quickly compare before/after metrics or trace the regression to specific changes.
Unified observability built for modern applications
Logify360 APM combines distributed tracing, metrics, and cross-signal correlation to give you complete visibility into application performance - with intelligent insights that save time.
Built on ClickHouse for sub-second query performance. Search billions of traces and metrics in milliseconds, not minutes.
Benefit
Get answers instantly, even at massive scale.
Example
Query 1B+ trace spans in under 200ms.
Correlate traces, metrics, and logs to tell the complete story. Jump from traces to related logs and metrics with one click.
Benefit
Understand the full context of performance issues by connecting all observability signals.
Example
Click a trace → see related logs showing errors → view metrics showing latency spike → identify root cause.
Configure retention policies and cost controls to manage observability data ingestion costs while maintaining critical performance insights.
Benefit
Control costs while maintaining visibility into your application performance.
Example
Set retention policies for traces, logs, and metrics. Configure sampling to reduce ingestion volume.
Interactive trace timeline viewer with detailed span analysis. Understand request flow and identify performance bottlenecks through visual trace inspection.
Benefit
Visualize complete request paths and identify slow spans quickly.
Example
View trace timeline showing checkout request flow → identify slow database query span taking 2.3s → drill into span details.
The four signals that matter, intelligently connected
Latency, traffic, errors, and saturation - the four golden signals of observability. Logify360 APM tracks them all and correlates anomalies across signals.
Track P50, P95, P99 latency across all services. Identify slow endpoints, database queries, and external API calls through trace analysis.
AI Correlation
Correlate latency spikes with error rates, traffic patterns, and trace data to identify root causes.
Example
P95 latency spike in checkout-service → trace analysis reveals slow payment-gateway API call → investigate timeout settings.
Monitor request rates, throughput, and traffic patterns across services. Identify traffic anomalies and capacity issues.
AI Correlation
Connect traffic spikes to latency degradation, error rate increases, and resource saturation through correlation analysis.
Example
Traffic spike at 2 PM → correlate with database connection pool metrics → identify need for scaling.
Track error rates, exception types, and failure patterns. Get real-time alerts on error rate anomalies.
AI Correlation
Link errors to specific traces, identify error patterns, and correlate with deployment versions to identify root causes.
Example
Error rate spike → analyze traces → identify memory leak in payment-service v92 → correlate with deployment timeline.
Monitor resource utilization via infrastructure monitoring integration - CPU, memory, database connections, queue depths. Identify capacity bottlenecks before they cause issues.
AI Correlation
Correlate saturation metrics with traffic trends and performance degradation to identify capacity issues.
Example
Database connection pool saturation → correlate with slow query traces → identify connection pool tuning needs.
Everything you need for modern application performance monitoring
End-to-end request tracing across microservices. See the complete request path from user to database and back.
Benefit:
Understand how requests flow through your system and identify bottlenecks in the request path.
Correlate traces, metrics, and logs to identify root causes. Connect related signals to understand the full context of performance issues.
Benefit:
Get the full context of performance problems by connecting traces, logs, and metrics in one place.
Track latency, traffic, errors, and saturation across all services. Monitor and correlate anomalies across signals to understand application health.
Benefit:
Get complete visibility into application health with comprehensive signal monitoring.
Identify slow endpoints, database queries, and external API latency issues through trace analysis and golden signals monitoring.
Benefit:
Find performance issues by analyzing trace timelines and correlating with metrics.
Track deployments and monitor performance changes. View deployment history and correlate with performance metrics to identify regressions.
Benefit:
Monitor deployment impact on performance and identify potential regressions.
Real results from real teams
Faster incident resolution with cross-signal correlation and trace analysis
Sub-second trace analysis with ClickHouse architecture
Reduced observability costs with retention policies and cost control
Fast trace analysis with ClickHouse backend
See how teams use Logify360 APM to solve performance issues
Challenge
After deploying checkout-service v92, P95 latency spikes from 245ms to 1.2s. Need to quickly identify the root cause and decide whether to rollback.
Solution
Use trace analysis to identify the slow database query in payment-service. Correlate with deployment timeline to link the issue to v92 deploy. Review trace timeline and correlated logs to confirm root cause.
Result
MTTR reduced from 2 hours to 15 minutes
Challenge
Application latency increasing over time. Suspect database issues but can't pinpoint which queries or services are causing the problem.
Solution
Analyze traces and metrics to identify top slowest database queries. Review query patterns and trace timelines. Cross-signal correlation reveals connection pool exhaustion in reporting-service.
Result
Identified root cause in 10 minutes vs. 3 hours previously
Challenge
Multiple services experiencing errors and latency spikes. Need to understand service dependencies and identify the root cause of cascading failures.
Solution
Trace analysis reveals payment-gateway timeout causing downstream failures. Service map visualization shows payment-gateway as the root cause of cascading failures.
Result
Full incident understanding in 20 minutes vs. 4 hours
Built for scale, performance, and reliability
Discover how Logify360 helps you monitor and optimize your entire stack
See how Logify360 APM helps you reduce MTTR, find bottlenecks faster, and get full visibility into application performance with distributed tracing and cross-signal correlation.
Find bottlenecks, not just symptoms
Distributed tracing, golden signals, and cross-signal correlation. Connect traces to logs and metrics in one click - no manual correlation needed.
The Limitations Every Team Faces
Traditional APM tools show you symptoms but leave you guessing about root causes. You see latency spikes but can't trace them to specific code paths, database queries, or service dependencies.
Latency spikes appear but you can't pinpoint which database query, API call, or service is the culprit. Manual investigation takes hours.
Traces, metrics, and logs live in separate tools. Manual correlation across signals is time-consuming and error-prone.
Traditional APM requires manual analysis across separate tools. No unified correlation between traces, logs, and metrics.
New deployments cause performance degradation, but you can't quickly compare before/after metrics or trace the regression to specific changes.
Unified observability built for modern applications
Logify360 APM combines distributed tracing, metrics, and cross-signal correlation to give you complete visibility into application performance - with intelligent insights that save time.
Built on ClickHouse for sub-second query performance. Search billions of traces and metrics in milliseconds, not minutes.
Benefit
Get answers instantly, even at massive scale.
Example
Query 1B+ trace spans in under 200ms.
Correlate traces, metrics, and logs to tell the complete story. Jump from traces to related logs and metrics with one click.
Benefit
Understand the full context of performance issues by connecting all observability signals.
Example
Click a trace → see related logs showing errors → view metrics showing latency spike → identify root cause.
Configure retention policies and cost controls to manage observability data ingestion costs while maintaining critical performance insights.
Benefit
Control costs while maintaining visibility into your application performance.
Example
Set retention policies for traces, logs, and metrics. Configure sampling to reduce ingestion volume.
Interactive trace timeline viewer with detailed span analysis. Understand request flow and identify performance bottlenecks through visual trace inspection.
Benefit
Visualize complete request paths and identify slow spans quickly.
Example
View trace timeline showing checkout request flow → identify slow database query span taking 2.3s → drill into span details.
The four signals that matter, intelligently connected
Latency, traffic, errors, and saturation - the four golden signals of observability. Logify360 APM tracks them all and correlates anomalies across signals.
Track P50, P95, P99 latency across all services. Identify slow endpoints, database queries, and external API calls through trace analysis.
AI Correlation
Correlate latency spikes with error rates, traffic patterns, and trace data to identify root causes.
Example
P95 latency spike in checkout-service → trace analysis reveals slow payment-gateway API call → investigate timeout settings.
Monitor request rates, throughput, and traffic patterns across services. Identify traffic anomalies and capacity issues.
AI Correlation
Connect traffic spikes to latency degradation, error rate increases, and resource saturation through correlation analysis.
Example
Traffic spike at 2 PM → correlate with database connection pool metrics → identify need for scaling.
Track error rates, exception types, and failure patterns. Get real-time alerts on error rate anomalies.
AI Correlation
Link errors to specific traces, identify error patterns, and correlate with deployment versions to identify root causes.
Example
Error rate spike → analyze traces → identify memory leak in payment-service v92 → correlate with deployment timeline.
Monitor resource utilization via infrastructure monitoring integration - CPU, memory, database connections, queue depths. Identify capacity bottlenecks before they cause issues.
AI Correlation
Correlate saturation metrics with traffic trends and performance degradation to identify capacity issues.
Example
Database connection pool saturation → correlate with slow query traces → identify connection pool tuning needs.
Everything you need for modern application performance monitoring
End-to-end request tracing across microservices. See the complete request path from user to database and back.
Benefit:
Understand how requests flow through your system and identify bottlenecks in the request path.
Correlate traces, metrics, and logs to identify root causes. Connect related signals to understand the full context of performance issues.
Benefit:
Get the full context of performance problems by connecting traces, logs, and metrics in one place.
Track latency, traffic, errors, and saturation across all services. Monitor and correlate anomalies across signals to understand application health.
Benefit:
Get complete visibility into application health with comprehensive signal monitoring.
Identify slow endpoints, database queries, and external API latency issues through trace analysis and golden signals monitoring.
Benefit:
Find performance issues by analyzing trace timelines and correlating with metrics.
Track deployments and monitor performance changes. View deployment history and correlate with performance metrics to identify regressions.
Benefit:
Monitor deployment impact on performance and identify potential regressions.
Real results from real teams
Faster incident resolution with cross-signal correlation and trace analysis
Sub-second trace analysis with ClickHouse architecture
Reduced observability costs with retention policies and cost control
Fast trace analysis with ClickHouse backend
See how teams use Logify360 APM to solve performance issues
Challenge
After deploying checkout-service v92, P95 latency spikes from 245ms to 1.2s. Need to quickly identify the root cause and decide whether to rollback.
Solution
Use trace analysis to identify the slow database query in payment-service. Correlate with deployment timeline to link the issue to v92 deploy. Review trace timeline and correlated logs to confirm root cause.
Result
MTTR reduced from 2 hours to 15 minutes
Challenge
Application latency increasing over time. Suspect database issues but can't pinpoint which queries or services are causing the problem.
Solution
Analyze traces and metrics to identify top slowest database queries. Review query patterns and trace timelines. Cross-signal correlation reveals connection pool exhaustion in reporting-service.
Result
Identified root cause in 10 minutes vs. 3 hours previously
Challenge
Multiple services experiencing errors and latency spikes. Need to understand service dependencies and identify the root cause of cascading failures.
Solution
Trace analysis reveals payment-gateway timeout causing downstream failures. Service map visualization shows payment-gateway as the root cause of cascading failures.
Result
Full incident understanding in 20 minutes vs. 4 hours
Built for scale, performance, and reliability
Discover how Logify360 helps you monitor and optimize your entire stack
See how Logify360 APM helps you reduce MTTR, find bottlenecks faster, and get full visibility into application performance with distributed tracing and cross-signal correlation.