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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
Siemens' gPROMS technology for digital process design and operations empowers organizations in the process industry to navigate intricate design and operational choices every day, leading to the creation of sustainable value. By harnessing extensive process knowledge through high-fidelity predictive models, gPROMS facilitates a swift and efficient examination of the decision-making landscape related to processes and products. It embodies essential insights about processes, enabling the application of sophisticated mathematical methods for analysis and optimization, ultimately improving both design and operational efficiency. This methodology not only propels innovation but also assists in achieving economically advantageous process designs while effectively mitigating technology risks. The gPROMS Process modeling environment encompasses the complete cycle from concept to operations in process design. With its cutting-edge analysis and optimization capabilities applied to high-fidelity models, it significantly speeds up the design process, accurately assesses and manages risks, and identifies the most effective process designs that deliver value throughout the entire lifespan of the plant. Furthermore, this integrated approach ensures that organizations can remain competitive in a rapidly evolving market.
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
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/global/en/products/automation/industry-software/gproms-digital-process-design-and-operations.html
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