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

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

Virtual machines for all workloads

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

Handle resource-intensive workloads efficiently with HPC

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.

Get started

Activate auto-scaling and elasticity for VMs

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

Get started

Minimize unnecessary cloud costs with pricing models

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

Get started

Choose the right OS for your applications: Linux or Windows

Choose from various operating systems (OS), including Linux and Windows, to run your applications. By selecting the right OS for each application, you can ensure compatibility, minimize potential issues, and enhance performance.

Get started

Hosting locations for your VMs

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

Remove siloed cloud infrastructure

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.

Get started

Reduce latency and comply with regulations

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.

Get started

Create efficient VMS in 3 easy steps

1
Step

Select

Select a compute instance and its configuration based on a provider, region, price, vCPUs, OS, and more.

2
Step

Review

Set and review the type of network, security group, operating system, and more.  

3
Step

Deploy efficient VMs

Deploy multiple VMs, set to fit your workload and business needs with appropriate allocation of resources, such as CPU, memory, and storage.

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

    Try now
    Background with different logos of companies

  • For leaders who want to fuel innovation and transformation

    Optimize costs, improve agility, 

    productivity, and resilience

    Get demo
    Background with charts

    • “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

      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

      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.

Simplified 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 virtual machine (VM) lifecycle 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.

Get started

Optimize efficiency with AI-driven VM insights

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.

Get started

Optimize performance and cost with automated VM Scaling

Avoid overprovisioning, time-consuming resource management, or underprovisioning.

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

Get started

Secure and protect sensitive information

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

Get started

Computing

Deploy computing resources across different cloud service providers and environments.

Cloud computing

Instances

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

Compute instances

Kubernetes

Automatically deploy, scale, and manage containers with Kubernetes.

Deploy K8s

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

Image with chart of example with expenses
AWS re:Invent 2024
Explore now