Cloud VMs: AWS EC2, Google GCE, Azure...

Provision, configure and allocate resources to virtual machines quickly across diverse cloud environments and providers without code.

DISCOVER

Virtual machines for all workloads

Choose the best fit VM configuration for your computational needs with an easy-to-use wizard.

High performance

Enable high performance computing (HPC) to run demanding workloads that require a lot of CPU power, such as processing large datasets or performing complex simulations.

Scalability & flexibility

Opt for VMs supporting auto-scaling for variable workloads and offering elasticity for easy resizing to adapt to changing demands.

Set auto-scaling VMs

Pricing models

Choose the appropriate pricing model (e.g., on-demand or spot instances) based on your workload and cost considerations.

Choose pricing model

Virtual machines (VMs) running on Linux and Windows

Choose from various OS, including Linux and Windows, to run your applications.

Hosting locations for your VMs

Deploy VMs strategically to ensure optimal workload performance and cost-effectiveness.

Multiple cloud providers (AWS, GCP, Azure...) & environments

Provision VMs to major public cloud providers (AWS, GCP, Azure, and more), regional providers, on-premises data centers, private clouds, and edge locations for greater flexibility and coverage.

Enable flexibility

Regional clouds

Move your VMs across various geographical regions, allowing you to position them closer to your audience, to minimize latency and adhere to data residency regulations.

Minimize latency

deploy

Create efficient VMS in 3 easy steps

Built for techies and leaders

Low-code and no-code environment designed for rapid innovation.

For developers who want to get applications up and running quickly
An easy-to-use platform
with tools you love using
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For leaders who want to fuel innovation and transformation
Optimize costs, improve agility,  
productivity, and resilience
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- “Our engineers can now concentrate on product development and testing instead of handling IT infrastructure.
  As a result, we can introduce new products to the market with greater speed and efficiency. This allows us to maintain our leading position in sustainable transportation.
  Kirill Kuznetsov
  IT Director, Arrival
- “Fullstack infrastructure management platform
  emma is subscribing to a comprehensive multi-cloud management strategy and considering that emma offers a full-stack infrastructure management platform, the solution can deliver on the end-to-end management requirements of an entire organization. emma is one of the few vendors with a focus on integrating with edge service providers and content delivery networks.
  Andrew Green
  Research Analyst at GigaOm

Maximize your strategic value
from the cloud

Experience cloud freedom like never before with the emma platform.

Vendor Independence
Avoid vendor lock-in to achieve greater flexibility and innovation power. Deploy your infrastructure across multiple cloud environments with emma's cloud-agnostic approach.
Cost Optimization
Unlock savings with emma's real-time insights and rightsizing options. Save up to 80% in specific cases, optimizing your cloud resources efficiently.
High Productivity
Boost productivity with streamlined operations and automated resource provisioning. Maintain centralized control while empowering self-service capabilities.
Peak Performance
Experience lightning-fast interactions with emma's high-speed multicloud networking backbone, designed for maximum application performance and resilience.
Agile Deployment
Fast provisioning, automated workflows, and seamless DevOps integrations for rapid deployment and scaling across diverse cloud environments.
Scalability for Growth
Harness your growth by scaling resources dynamically with emma, ensuring uninterrupted operations and unmatched business support.

manage

Simplify VM management

Ensure maximum operational efficiency with a unified management approach. Gain detailed resource insights, make informed decisions to optimize utilization, and achieve cost savings.

Automated deployment and configuration management

Streamline VM deployment, setup and maintenance with emma's workflow automations. Developers can also use the integration with external IaC tools like Terraform or configuration management tools such as Ansible, Chef, or Puppet.

Automate workflows

Monitoring and optimization

Boost VM performance visibility with AI-driven recommendations for efficient operation. Optimize usage and cost by reallocating workloads and using workflows for auto-start/shutdown or decommissioning unused VMs, to free up resources, and reducing costs.

Optimize VM performance

Auto-scaling

Automatically adjust the number of virtual machines, scaling them up or down based on workload demands, to ensure optimal performance and cost efficiency.

Security

Boost security with access controls to protect VM access and encryption to secure data at rest and in transit, safeguarding sensitive information.

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Computing

Deploy computing resources across different cloud service providers and environments.

Cloud computing

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Instances

Optimize short-term tasks by utilizing unused provider capacities and save up to 90%.

Compute instances

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Kubernetes

Automatically deploy, scale, and manage containers with Kubernetes.

FAQ

A virtual machine (VM) is a software program that creates a simulated computer environment. It behaves like a physical computer, with its own CPU, memory, storage, and network interface. However, a VM is not a physical computer; it is a software program that runs on top of a physical computer.

VMs are created and managed by a software program called a hypervisor. The hypervisor abstracts the physical computer's resources into a pool that can be provisioned and distributed as needed. This allows multiple VMs to run on a single physical computer.
VMs are used for a variety of purposes, including:

Server consolidation: VMs can be used to consolidate multiple physical servers onto a single physical server. This can save money on hardware and energy costs.

Application isolation: VMs can be used to isolate applications from each other. This can help to improve security and reliability.

Test and development: VMs can be used to create test and development environments that are isolated from the production environment. This can help to prevent problems from impacting the production environment.

Desktop virtualization: VMs can be used to create virtual desktops that can be accessed from anywhere with an internet connection. This can be useful for remote workers and for businesses that want to reduce their IT costs.
Provisioning a virtual machine (VM) involves creating a virtualized computing instance within a virtualized environment, managed by a hypervisor or cloud service provider. This self-contained system includes its own virtual hardware, operating system, and software applications.

During provisioning CPU cores, memory (RAM), storage space, and network settings are configured. The VM functions like a physical computer but operates on a shared physical host machine.
Cloud providers maintain data centers in various regions worldwide. The region you select determines the physical location of your compute instance. Opting for a region closer to your users or services reduces latency and enhances response times.
Adhering to specific regulations and compliance standards often necessitates storing and processing data within particular jurisdictions. By selecting the appropriate region, you ensure compliance with data sovereignty and privacy laws.

See what connected cloud computing can do for you

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