Joyent Private Cloud Infrastructure
Joyent helps software and enterprise companies manage large-scale infrastructure via a private cloud. It is designed for teams that need compute and container services with private cloud economics.
At a glance
- Category
- Software Development
- Best for
- Software Companies, Enterprise Companies
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Firmware Over-the-Air (FOTA) Updates, Global VPN Connectivity, Data Lake Analytics, Live Video Streaming, IoT Device Management
- Official website
- www.joyent.com
Joyent is a private cloud platform owned by Samsung that provides core infrastructure services, including compute, storage, networking, and security. It is designed for software companies and enterprises that need to support massive scale for their digital experiences.
The platform supports development workflows, including container orchestration via Kubernetes and Docker, as well as serverless computing. For data operations, it offers managed SQL and NoSQL databases along with global object and block storage.
Buyers should consider that the platform is geared toward high-technical levels and enterprise-scale requirements. Because it focuses on private cloud infrastructure, organizations should confirm that the networking and security configurations align with their internal compliance needs.
Key Features
Provides virtualized compute instances and global object and block storage for application data.
Supports Kubernetes and Docker for container orchestration and managed container registries.
Includes functions as a service and event processing to support serverless architectures.
Offers managed SQL and NoSQL database services for structured and unstructured data.
Provides GPU-accelerated compute resources for AI and machine learning workloads.
Includes VPC and DNS networking, hardware VPNs, and DDoS services to secure cloud traffic.
Use Cases
Using compute and networking features to distribute firmware updates to devices at a global scale.
Using private networking and container services to provide mobile connectivity in low-bandwidth areas.
Combining distributed storage and ETL processes to aggregate structured and unstructured data for machine learning.
Using a global architecture to deliver low-latency real time video communications.
Supporting IoT platforms with autoscaling and CI/CD services to manage growing device bases.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is used as a private cloud platform to provide compute, storage, and networking infrastructure for applications that need to scale to billions of users.
Yes, the platform provides GPU compute resources for AI and ML workloads, as well as data lake services for analytics.
It is designed for software and enterprise companies that have high technical capabilities and need a secure, scalable private cloud environment.
Source category: Software Development
Source subcategory: Cloud Infrastructure
