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Description
Kloudfuse is an observability platform powered by AI that efficiently scales while integrating various data sources, including metrics, logs, traces, events, and monitoring of digital experiences into a cohesive observability data lake. With support for more than 700 integrations, it facilitates seamless incorporation of both agent-based and open-source data without requiring any re-instrumentation, and it accommodates open query languages such as PromQL, LogQL, TraceQL, GraphQL, and SQL, while also allowing for the creation of custom workflows through notifications and webhooks. Organizations can easily deploy Kloudfuse within their Virtual Private Cloud (VPC) through a straightforward single-command installation and manage operations centrally using a control plane. The platform automatically collects and indexes telemetry data with smart facets, which helps deliver rapid search capabilities, context-aware alerts powered by machine learning, and service level objectives (SLOs) with minimized false positives. Users benefit from comprehensive visibility across the entire stack, enabling them to trace issues from user experience metrics and session replays all the way down to backend profiling, traces, and metrics, which makes troubleshooting more efficient. This holistic approach to observability ensures that teams can quickly identify and resolve code-level issues while maintaining a strong focus on enhancing user experience.
Description
Processes play a crucial role in modern society, facilitating services and internal operations across businesses, government agencies, and organizations worldwide. Despite the availability of numerous systems designed to aid in the execution of these processes, the methods currently employed to monitor and analyze their performance within organizations still fall short of expectations. Process Mining emerges as a solution to bridge this gap, offering innovative tools for the examination and oversight of actual processes. ProM stands out as a versatile framework that incorporates a broad range of process mining techniques through various plug-ins. It operates independently of any specific platform since it is developed in Java, making it accessible for anyone to download without cost. We encourage practical usage of ProM and invite researchers and developers to enhance it by creating new plug-ins. Notably, ProM 6 is distributed in segments, which provides users with maximum flexibility to tailor their experiences. This adaptability makes it an even more appealing choice for organizations aiming to optimize their process monitoring and analysis efforts.
API Access
Has API
API Access
Has API
Integrations
GraphQL
SQL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Kloudfuse
Founded
2020
Country
United States
Website
www.kloudfuse.com
Vendor Details
Company Name
ProM
Founded
2010
Country
Netherlands
Website
www.promtools.org/doku.php
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Log Management
Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs