Highlights:

  • Digital Experience Monitoring, which incorporates Real User Monitoring for profound insights into user experiences across digital transactions, is a new feature in Kloudfuse 3.0.
  • With the addition of new features for more accurate data analysis and sophisticated tools like rolling quantile, SARIMA, and DBScan, the latest updates also see an increase in AI and analytics capabilities.

An AI-powered unified observability platform developer, Kloudfuse Inc. launched Kloudfuse 3.0, an updated platform that can transform observability in modern enterprises.

Customers will get access to features like Continuous Profiling and Real User Monitoring in Kloudfuse 3.0, as well as tools for managing massive volumes of real-time data, new AI capabilities, a new query language, and updated deployment choices.

By combining metrics, events, logs, and traces with other data streams for a more complete picture, the release unifies observability. Real-time monitoring and management of an organization’s whole digital infrastructure is made possible by this method.

Digital Experience Monitoring, which incorporates Real User Monitoring for profound insights into user experiences across digital transactions, is a new feature in Kloudfuse 3.0. By visualizing user interactions, Session Replays help businesses improve customer happiness and engagement by replaying user journeys.

Another remarkable innovation in the version is the Continuous Profiling, a continuously running tool that detects performance bottlenecks in real time. In order to make sure that code runs as efficiently as possible while using fewer resources, the feature analyzes CPU utilization, memory allocation, and disk I/O.

With the addition of new features for more accurate data analysis and sophisticated tools like rolling quantile, SARIMA, and DBScan, the latest updates also see an increase in AI and analytics capabilities. Prophet, an AI solution for anomaly detection and forecasting, improves anomaly identification and forecasting by efficiently managing different seasonal trends and missing data.

In order to facilitate debugging and incident resolution, the version now includes K-Lens, an AI-driven tool that detects outliers and rapidly identifies and visualizes the underlying causes of problems in massive datasets. With the use of clear visualizations like heatmaps and multi-attribute chart series, the tool rapidly identifies the underlying causes of problems by analyzing thousands of attributes. This speeds up debugging and incident resolution.

Moreover, Kloudfuse 3.0 supports new FuseQL language. The language overcomes the drawbacks of prior languages like LogQL by incorporating sophisticated log query features like multi-dimensional aggregations and filters.

With its scalable data lake and sophisticated shaping features, Kloudfuse 3.0 effectively handles enormous volumes of real-time observability data for high-volume observability data. Cardinality Analysis, which provides real-time insights to manage high cardinality data, and Log Archival and Hydration, which allow instant access to past logs for compliance while lowering storage costs, are crucial aspects.

“Our advanced features — including Digital Experience Monitoring, powerful AI/ML capabilities, advanced analytics and visualizations, a new query language and Continuous Profiling — not only enhance customer satisfaction but also enable developers to identify and address performance bottlenecks with unprecedented efficiency,” stated Co-founder and Chief Executive Krishna Yadappanavar.

Kloudfuse is a venture capital-backed firm that has raised USD 23 million since its introduction last year. Newlands, Blumberg Capital, Exponent, Pathlight Ventures, Asperwood Ventures, and HighSage are among the investors.