Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
An innovative and more secure approach to developing fault-tolerant cloud applications is offered through the groundbreaking cloud-native DBOS operating system. Drawing from three years of collaborative open-source research and development between MIT and Stanford, DBOS transforms the landscape of cloud-native architecture. This cloud-native operating system leverages a relational database to significantly streamline the intricate application stacks commonly found today. DBOS underpins DBOS Cloud, which serves as a transactional serverless platform that ensures fault tolerance, observability, cyber resilience, and straightforward deployment for stateful TypeScript applications. The services of the operating system are built upon a distributed database management system, featuring integrated transactional and fault-tolerant state management that reduces complexity by eliminating the need for containers, cluster management, or workflow orchestration. It offers seamless scalability, outstanding performance, and consistent availability, while metrics, logs, and traces are conveniently stored in SQL-accessible tables. Additionally, the architecture minimizes the cyber attack surface, incorporates self-detection mechanisms for cyber threats, and enhances overall cyber resilience, making it a robust choice for modern cloud applications. Overall, the DBOS operating system represents a significant leap forward in simplifying cloud application development while ensuring high security and reliability.
Description
The Trusted® fault-tolerant control system is engineered to satisfy a broad spectrum of safety standards. This advanced safety instrumented solution incorporates a triple modular redundant (TMR) architecture that effectively pinpoints the origin of faults. Upon detection of anomalies, the system promptly intervenes to mitigate faults, ensuring compliance with your required safety integrity levels. The TMR configuration employs a majority voting mechanism to ascertain fault sources, whereby random hardware failures lead one of the three control ‘slices’ to behave differently than the others. This voting methodology efficiently captures and documents any discrepancies. In addition, the Trusted TMR system's rapid response to faults reinforces its ability to meet stringent safety integrity criteria. It seamlessly integrates with broader control systems and is compatible with our PlantPAx® platform. Supporting both 24-120V DC and 120V I/O modules, it offers high-density I/O capabilities of up to 40 channels per module. Furthermore, it adheres to safety regulations through partial stroke testing of vital valves, enhancing its reliability in critical applications. This comprehensive design ensures that safety and efficiency remain paramount in operational environments.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Kafka
PlantPAx
Slack
TypeScript
Integrations
Amazon Web Services (AWS)
Apache Kafka
PlantPAx
Slack
TypeScript
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
DBOS
Country
United States
Website
www.dbos.dev/
Vendor Details
Company Name
Rockwell Automation
Country
United States
Website
www.rockwellautomation.com/en-us/capabilities/process-solutions/process-safety-systems/safety-instrumented-systems/trusted.html
Product Features
Serverless
API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage