SUPPLIER MANAGED
 Joyent Logo

Joyent

360 degree support for modern application architectures
United States
2004
Private
$10-100m
51 - 200
Open website

Joyent is a cloud infrastructure and big data analytics company offering a solution that powers real-time web and mobile applications. Its cloud infrastructure fundamentally changes the economics of public and private Cloud Computing.

Joyent was founded in 2004 by Dean Allen, Jason Hoffman, and David Young. It is headquartered in San Francisco, C.A.

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With Joyent, users can experience a new level of operational dexterity and control by leveraging a single infrastructure for Public Cloud, Private Cloud, or a combination of both. It is the cloud infrastructure that delivers bare-metal performance from a Virtual machine, enabling applications to run faster and more reliably than on traditional public or Private Cloud infrastructure.

In addition, as the corporate steward of Node.js, Joyent offers exclusive debugging and performance tools for Node.js applications. These capabilities, combined with its expertise and global support, transform companies’ ability to manage and scale cloud applications.

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Joyent is a provider of Industrial IoT cloud planning, design and implementation services services.
Services
Cloud Planning, Design & Implementation Services
Joyent’s Technology Stack maps Joyent’s participation in the IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies12
EdgeMesh: A Case Study in Performance at Scale
EdgeMesh, a web acceleration company, aimed to disrupt the mature 8 billion dollar content delivery market with a small team. The challenge was to build and deploy a service that was superior in both performance and breadth. They needed to deliver an ultra-low latency, global, edge native solution with sub 1ms core service response times, and scale it to handle tens of millions of messages per second. This required a solution that could provide high performance, scalability, and deep introspection capabilities without requiring any infrastructure changes.
Sleepy Giant Success Story
Sleepy Giant, an independent online game company, was in need of a public cloud solution that could provide flexibility in scaling infrastructure up or down at a moment's notice. The gaming industry is characterized by unpredictable usage spikes due to organic, viral uptake and paid promotions. When these spikes occur, it is crucial that infrastructure be quickly scaled up. If increased usage is not met with adequate infrastructure, then players suffer from decreased response times, the game experience deteriorates and opportunities are missed. Sleepy Giant also required a support team with broad knowledge and competence to help build the right infrastructure for its partners. They were seeking a team that could provide customized solutions and recommend proven options to meet the continuously expanding needs of its diverse projects. Lastly, Sleepy Giant wanted to reduce infrastructure costs while continuing to deliver improvements in performance to customers. This meant considerations of alternatives to ownership and management of physical hardware.
Wanelo Success Story
Wanelo, a community for all of the world’s shopping, was experiencing a surge in popularity and traffic to its website and mobile apps. The company wanted a cloud environment that was designed for performance and could cost-effectively handle traffic surges. The company's growth, expressed in terms of requests per minute (RPMs), took off in a period of approximately four months following a major site rewrite. Wanelo wanted a cloud environment that could handle the evening surges without a cost penalty or needing to overprovision the system to accommodate those times of peak traffic. They also wanted more OS functionality than Linux.
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