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Description
Integrating observability with automated orchestration enables the development of self-managed and resilient applications on a large scale. Every moment, vast amounts of data pour in from observability and monitoring systems, collecting metrics, logs, and traces from all elements of intricate and changing applications. However, the challenge remains for humans to interpret and troubleshoot this information. They find themselves in a continuous loop of addressing alerts, pinpointing root issues, and deciding on effective remediation strategies. This traditional approach has not fundamentally evolved over the decades, remaining labor-intensive, reactive, and expensive. Causely transforms this scenario by eliminating the need for human intervention in troubleshooting, as it captures causality within software, effectively bridging the divide between observability and actionable insights. For the first time, the entire process of detecting, analyzing root causes, and resolving application defects is entirely automated. With Causely, issues are detected and addressed in real-time, ensuring that applications can scale while maintaining optimal performance. Ultimately, this innovative approach not only enhances efficiency but also redefines how software reliability is achieved in modern environments.
Description
RTEAM is an innovative real-time platform that empowers users to effectively set up alerts and manage exceptions. The alerts serve as instant notifications for urgent issues that require prompt action across various sectors like fieldwork, operations, and dispatch. Simultaneously, exceptions are recorded in real time for subsequent review and analysis. The platform includes a structured workflow process that ensures the timely gathering of pertinent information, which significantly boosts the quality and precision of data essential for conducting root cause analyses. Key performance indicators such as response time, turnaround time, chute time, nature of the problems, and instances of transport refusals are crucial for identifying areas where training could be beneficial. Users can seamlessly monitor exceptions as they arise and assign reason codes through a user-friendly workflow. By analyzing the aggregated results, teams can identify underlying causes and devise effective action plans to address them, ultimately improving operational efficiency and service quality. This comprehensive approach facilitates continuous improvement in processes and enhances overall effectiveness.
API Access
Has API
API Access
Has API
Integrations
Kubernetes
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
Causely
Country
United States
Website
www.causely.io
Vendor Details
Company Name
DataTech911
Country
United States
Website
www.datatech911.com/solutions/rteam/
Product Features
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata
Product Features
EMS
Availability Indicator
Billable Items Tracking
Daily Unit Loading Analysis
Dispatch Monitoring
EMS Service Roles Time Clock
Electronic Signature
Equipment Tracking
Fleet Management
NEMSIS Compliance
Patient Database
Point-of-Service Data
Refusal Statements
Shift Management
Supply Management