Kloudfuse

Kloudfuse is a unified observability platform that integrates with over 700 infrastructures, cloud services, and applications. Its open architecture connects with existing agents, eliminating the need for additional instrumentation. By harnessing AI and ML, Kloudfuse provides real-time anomaly detection and consolidates metrics, logs, traces, and more into a unified observability data lake. Deployed within a VPC, Kloudfuse helps to ensure scalability, cost-efficiency, and security.

Kloudfuse capabilities:

• 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.
• Kloudfuse Log Monitoring utilizes fully distributed log fingerprinting technology. This approach not only enhances storage efficiency, offering cost savings, but also enables automatic facet extraction, metric derivation, and transaction tracking, for faster troubleshooting.
• Kloudfuse Digital Experience Monitoring provides Real User Monitoring (RUM) and Session Replays. RUM offers deep insights into applications' frontend performance. Correlates real user interactions with backend metrics, traces, and logs in a single platform to quickly identify and troubleshoot performance issues across the stack.
• Infrastructure Monitoring - Kloudfuse can store and explore high cardinality metrics across infrastructure, platforms, and applications using any agent or open standard protocols like Prometheus and OTel. Kloudfuse provides high ingestion speed, minimal storage footprint, and access via open query languages, providing you unparalleled visibility and efficiency.
• Event Monitoring - Kloudfuse analyzes billions of high-volume event streams, enabling rapid, cost-effective ingestion, storage, and querying of data, without the need for sampling.
• Kloudfuse Continuous Profiling provides developers with a low-overhead solution for collecting and analyzing performance data from production systems 24/7. With its sampling profiler technology, it minimizes CPU usage while enabling real-time detection of performance bottlenecks. Developers can customize data granularity and benefit from efficient compression, reducing disk space requirements and overall costs.

Advanced analytics in Kloudfuse includes K-Lens, which uses outlier detection to analyze thousands of attributes within high-dimensional data, offering heatmaps and multi-attribute charts that quickly pinpoint the sources of specific issues. Real-time cardinality analysis detects high-volume data during ingestion, lowering storage and processing costs while enhancing manageability. Metrics roll-ups enhance query performance during diagnostics and troubleshooting.