451 Research Highlights Kloudfuse’s Market Leadership in Observability
451 Research Highlights Kloudfuse’s Market Leadership in Observability
451 Research Highlights Kloudfuse’s Market Leadership in Observability
Application Performance Management
Gain End-to-End Visibility into Cloud-Native Apps and Microservices
Application Performance Management
Gain End-to-End Visibility into Cloud-Native Apps and Microservices
Kloudfuse APM provides distributed tracing across applications, backend services, and databases. By integrating traces, logs, and metrics, it enables rapid identification and resolution of issues, enhancing both mean time to detect (MTTD) and mean time to resolve (MTTR) for better application performance and resilience.
Full Stack Application Performance
Full Stack Application Performance
Unified view from applications to logs to infrastructure
Unified view from applications to logs to infrastructure
Oversee all services, methods, and endpoints
Oversee all services, methods, and endpoints
Monitor RED metrics (rate, errors, duration) in real time
Monitor RED metrics (rate, errors, duration) in real time
Track service call execution and resource use
Track service call execution and resource use
Real-time SLO monitoring and alerts
Real-time SLO monitoring and alerts
Faster Incident Resolution
Faster Incident Resolution
Visualize service request paths with distributed tracing
Visualize service request paths with distributed tracing
See dependencies using service maps, request flows, and flame graphs
See dependencies using service maps, request flows, and flame graphs
Assess impact on upstream and downstream services
Assess impact on upstream and downstream services
Use span analytics to reveal your application's performance and service execution breakdowns
Use span analytics to reveal your application's performance and service execution breakdowns
Accelerate MTTR with integrated trace, metrics, and log data
Accelerate MTTR with integrated trace, metrics, and log data
Enhanced Detection with ML/AI
Enhanced Detection with ML/AI
Reduce MTTD using ML-based anomaly and outlier detection
Reduce MTTD using ML-based anomaly and outlier detection
Uncover hidden issues and discover unknown unknown
Uncover hidden issues and discover unknown unknown
Predict future changes using historical and seasonal data
Predict future changes using historical and seasonal data
Extensive Trace and Application Support
Extensive Trace and Application Support
Ingest from Zipkin, Jaeger, OpenTelemetry, OpenTracing, Datadog, and more
Ingest from Zipkin, Jaeger, OpenTelemetry, OpenTracing, Datadog, and more
Convert diverse traces into a unified schema for optimized querying
Convert diverse traces into a unified schema for optimized querying
Bypass instrumentation with eBPF
Bypass instrumentation with eBPF
Integrate with Java, .NET, PHP, Node.js, Ruby, Python, Go, and C++ libraries
Integrate with Java, .NET, PHP, Node.js, Ruby, Python, Go, and C++ libraries
Utilize our native tracing support for AWS Lambda, Azure, and Google Cloud
Utilize our native tracing support for AWS Lambda, Azure, and Google Cloud
Complete Data Collection at Optimized Costs
Complete Data Collection at Optimized Costs
Avoid sampling; capture all your distributed traces
Avoid sampling; capture all your distributed traces
Save on storage, analysis, and ingestion costs with built-in optimization
Save on storage, analysis, and ingestion costs with built-in optimization
Benefit from transparent pricing and VPC deployment to avoid hidden fees and overages
Benefit from transparent pricing and VPC deployment to avoid hidden fees and overages
