Kloudfuse Unclaimed

Enhances observability through unified, secure, and cost-effective solutions for logs, metrics, traces, and events.

Achieve complete observability with unified data management and flexible analytics.

Enhance application performance and reliability with comprehensive observability for cloud-native architectures.

Capture, analyze, and visualize high-cardinality metrics efficiently across your infrastructure.

Enhance log analysis efficiency with centralized management and advanced insights.

Enhance system performance with comprehensive event stream analysis and real-time monitoring.

Enhance user experiences by correlating real user interactions with backend performance metrics.

Optimize applications in production with low-overhead profiling for faster incident resolution.

Distributed tracing, real-time SLO monitoring, service maps and root-cause analysis for cloud-native and microservices applications using open-standard trace ingestion.

Real user monitoring and session replay that correlate frontend user sessions with backend traces and metrics to drive UX and performance improvements.

Centralized log capture, long-term archival and schema-aware analytics with deduplication and MELT integration for faster troubleshooting and compliance.

High-cardinality metrics ingestion and analysis, PromQL/Grafana-compatible dashboards, and ML-driven anomaly detection for infrastructure and service health.

Low-overhead, multi-language production profiling that surfaces line-level hotspots and resource usage to reduce mean time to resolution and optimize performance.

Real-time, full-fidelity ingestion and analysis of high-volume event streams with ML-based anomaly detection and alerting.

Unified MELT data platform and data lake providing schema-on-demand ingestion, broad integrations, private cloud retention, and centralized governance and access controls.

Kloudfuse Platform

Kloudfuse Platform is a unified observability platform that enables end-to-end MELT visibility, open standards interoperability, and flexible deployment. It supports private deployments and provides a centralized control plane for managing the entire observability stack.

• Integrate With Existing Systems
  Seamlessly connect with existing observability agents without needing additional instrumentation.
• Maintain Data Control And Privacy
  Ensure that observability data remains within your environment to comply with data security requirements.
• Achieve Comprehensive Monitoring
  Gain insights from multiple telemetry sources for effective troubleshooting and analysis.
• Simplify Management And Ensure Privacy
  Manage the observability stack centrally while ensuring data security and compliance.
• Reduce Overall Costs
  Leverage private deployment and effective data management to significantly cut spending on observability.
• Identify Issues Proactively
  Set dynamic thresholds and receive real-time alerts to handle potential problems effectively.
• Enhance Log Insights
  Easily explore logs by various facets for improved understanding and quicker decision-making.

Observability Data Lake

Unified Observability Data Lake provides full-stack visibility with over 700 pre-built integrations. It offers fast data ingestion with schema-on-demand, advanced analytics via Apache Pinot, data shaping, and flexible retention in a private cloud.

• Monitor All Major Platforms
  Integrate with infrastructure, cloud systems, and applications seamlessly via over 700 built-in connections.
• Perform Real-Time Analytics
  Achieve ultra-low-latency responses for deep data insights across all observability streams.
• Ensure Data Privacy
  Implement end-to-end security and compliance with built-in filtering, masking, and encryption.
• Ingest Data Rapidly
  Process and store observability data from any source at scale, optimizing for modern environments.
• Control Your Data Retention
  Customize how long observability data is retained based on specific compliance needs and cost management.
• Optimize Resource Utilization
  Manage high-volume data efficiently while maximizing system performance and minimizing costs.

Kloudfuse APM

Kloudfuse Application Performance Monitoring provides end-to-end visibility for cloud-native apps and microservices. It delivers distributed tracing across applications, backend services, and databases, integrating traces, logs, and metrics into a single MELT view for rapid root-cause analysis. It supports ingesting traces from Zipkin, Jaeger, OpenTelemetry, OpenTracing, Datadog, and more, and can transform diverse traces into a unified schema for querying. It offers real-time SLO monitoring and alerts, service maps, and flame graphs, with native tracing for AWS Lambda, Azure, and Google Cloud. Private deployment via VPC helps control data residency and costs, enabling comprehensive, scalable observability.

• Gain Unified Visibility
  Integrated monitoring streamlines your workflow, allowing for faster issue resolution.
• Capture Complete Traces
  Ensure that you have all relevant data for accurate monitoring and analysis.
• Gain Holistic Insight
  Understand the complete flow of requests to identify bottlenecks.
• Seamless Data Interaction
  Enable comprehensive insights and diagnostics using integrated telemetry.
• Monitor Real-Time Performance
  Act swiftly on performance metrics to maintain service quality.
• Ensure Data Privacy
  Maintain control over data while maximizing compliance and security.
• Utilize Cloud-Native Tracing
  Leverage built-in capabilities for deep visibility into cloud functions.
• Visualize Application Structure
  Identify system dependencies and performance issues at a glance.
• Flexible Data Ingestion
  Integrate easily with existing tools and frameworks.

Metrics Monitoring

Kloudfuse Metrics Monitoring stores and analyzes high-cardinality metrics from any source. It ingests metrics from Prometheus, OpenTelemetry, DataDog, and native cloud services across AWS, GCP, and Azure. It supports querying and dashboarding via PromQL, Grafana, and Kloudfuse, with dashboards and alerts convertible to open standards. It enables deep infrastructure visibility, correlates metrics with traces and logs, and runs entirely in your private cloud via VPC deployment to control data residency and costs.

• Facilitates Seamless Metrics Integration
  Supports ingestion from various sources, allowing for greater flexibility and efficiency in monitoring setups.
• Enables Holistic Monitoring View
  Provides comprehensive insights into the performance and health of applications through interconnected telemetry.
• Ensures Data Control and Security
  Maintains data residency within your environment, enhancing security and compliance.
• Optimizes Performance Insights
  Handles complex metric data efficiently, ensuring accurate and fast analysis without performance degradation.
• Enhances Customization and Flexibility
  Allows users to leverage familiar tools and frameworks for monitoring, fostering collaboration and ease of use.
• Proactively Identifies Issues
  Enables faster troubleshooting and reduces downtime by quickly highlighting performance discrepancies.
• Simplifies Cloud Monitoring
  Easily integrates with major cloud platforms for unified observability.
• Simplifies Migration Process
  Facilitates an easier transition to Kloudfuse by retaining prior configurations and settings.

Log Management

Log Management centralizes log capture, storage, search, and correlation within Kloudfuse. It complements traces and metrics to enable faster root-cause analysis across the platform.

• Accelerate Troubleshooting
  Quickly identify problematic logs by auto-extracting facets and enabling detailed analytics.
• Unify Logs, Metrics, And Traces
  Provide comprehensive visibility by integrating logs with other telemetry streams, enabling faster diagnostics.
• Boost Log Analysis
  Enhance log analysis performance, supporting over a million log events per second.
• Flexible Log Ingestion
  Flexibly ingest logs from various sources while maintaining data integrity and structure.
• Manage Compliance Cost-Effectively
  Store logs in an accessible format while significantly reducing storage and retrieval costs.

Event Monitoring

Kloudfuse Event Monitoring rapidly analyzes billions of high-volume event streams with no sampling, enabling cost-effective ingestion, storage, and querying of data from diverse sources with real-time alerts.

• Process All Events
  Ensure complete visibility and control by avoiding sampling and analyzing every event.
• Detect Anomalies
  Utilize machine learning to uncover unexpected patterns or outliers in real-time.
• Receive Immediate Alerts
  Stay informed about critical events and potential issues as they happen.
• Streamline Event Analysis
  Collect and visualize event data from various platforms in a single cohesive view.
• Conduct In-Depth Analytics
  Generate custom metrics and drill down into event details for extensive insights.

Digital Experience Monitoring

Digital Experience Monitoring provides Real User Monitoring (RUM) and Session Replays. It links frontend performance with backend metrics and traces, enabling full-stack observability and data-driven UX improvements.

• Achieve End-To-End Visibility
  Gain comprehensive insights across all layers of your application stack, facilitating quicker troubleshooting and enhanced monitoring capabilities.
• Link User Actions To Performance
  Easily identify how front-end interactions affect back-end performance, allowing for targeted improvements in user experience.
• Replay User Sessions For Insights
  Understand user frustrations by seeing exactly how they interact with your application, which helps in making data-driven enhancements.
• Monitor User Interaction Live
  Track real-time user behavior and assess the performance impact, ensuring a smooth user experience.
• Improve Design Based On User Interaction
  Leverage real user data to make informed decisions that enhance product design and optimize user interfaces.

Continuous Profiling

Continuous Profiling provides low-overhead production profiling to identify performance bottlenecks. It offers line-level hotspots, CPU/memory/disk I/O insights, and supports multiple languages to reduce MTTR.

• Pinpoint Resource Bottlenecks
  Gain detailed insights into line-level resource consumption, enabling targeted optimizations.
• Minimize Performance Impact
  Collect performance data 24/7 without significant overhead, ensuring production systems remain efficient.
• Accelerate Issue Resolution
  Identify and resolve performance bottlenecks quickly to enhance application reliability.
• Support Diverse Applications
  Easily implement profiling across a wide range of popular programming languages.
• Enhance Resource Utilization
  Evaluate resource usage patterns to drive informed capacity planning and scaling decisions.