Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Cloud Foundry effectively synchronizes the build and deployment processes of software development with associated services, leading to rapid, uniform, and dependable application iterations. As a leading platform as a service (PaaS) solution, it facilitates the swiftest, simplest, and most trustworthy deployment of cloud-native applications. IBM provides various hosting models for its Cloud Foundry PaaS, enabling users to tailor their experience while considering factors such as cost, speed of deployment, and security. The platform supports a range of runtimes, including Java, Node.js, PHP, Python, Ruby, ASP.NET, Tomcat, Swift, and Go, along with community build packs. When integrated with DevOps services, these application runtimes create a delivery pipeline that streamlines and automates significant portions of the iterative development workflow. This orchestration empowers developers to enhance productivity while reducing the time to market for their applications.
Description
Microservices architecture enables efficient streaming and batch data processing specifically designed for platforms like Cloud Foundry and Kubernetes. By utilizing Spring Cloud Data Flow, users can effectively design intricate topologies for their data pipelines, which feature Spring Boot applications developed with the Spring Cloud Stream or Spring Cloud Task frameworks. This powerful tool caters to a variety of data processing needs, encompassing areas such as ETL, data import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server leverages Spring Cloud Deployer to facilitate the deployment of these data pipelines, which consist of Spring Cloud Stream or Spring Cloud Task applications, onto contemporary infrastructures like Cloud Foundry and Kubernetes. Additionally, a curated selection of pre-built starter applications for streaming and batch tasks supports diverse data integration and processing scenarios, aiding users in their learning and experimentation endeavors. Furthermore, developers have the flexibility to create custom stream and task applications tailored to specific middleware or data services, all while adhering to the user-friendly Spring Boot programming model. This adaptability makes Spring Cloud Data Flow a valuable asset for organizations looking to optimize their data workflows.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Apache Tomcat
Yes
Cloud Foundry
Yes
Kubernetes
No
Mariner Financial Wellness
No
Node.js
Yes
Spring Framework
No
VMware Cloud
No
Integrations
Apache Tomcat
Yes
Cloud Foundry
Yes
Kubernetes
Yes
Mariner Financial Wellness
Yes
Node.js
No
Spring Framework
Yes
VMware Cloud
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/cloud-foundry
Vendor Details
Company Name
Spring
Website
spring.io/projects/spring-cloud-dataflow
Product Features
Serverless
API Proxy
No
Application Integration
No
Data Stores
No
Developer Tooling
No
Orchestration
No
Reporting / Analytics
No
Serverless Computing
No
Storage
No