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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 IBM z16 platform introduces cutting-edge AI capabilities and robust cyber resilience for hybrid cloud environments, utilizing pioneering on-chip AI inferencing alongside first-of-its-kind quantum-safe technologies. This development enhances hybrid cloud solutions, significantly reducing the risks associated with modernization and positioning itself as a crucial element for successful digital transformation. With the ability to speed up decision-making processes, businesses can gain the agility needed to advance effectively. Additionally, the platform operates with a reduced energy footprint, which helps lower costs while prioritizing sustainability throughout the entire product lifecycle. AI integration is purposefully designed to enable faster and more informed decision-making at scale. By embedding AI within enterprise transactional processes, organizations can uncover valuable business insights that differentiate between seizing revenue opportunities and facing financial losses due to fraud. This innovative approach not only drives efficiency but also empowers businesses to navigate the complexities of the modern digital landscape.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Kafka
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
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/z16
Product Features
Serverless
API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage
