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Types of Compute

Cloud Compute Options Available​

  • Serverless:

    • Run your code without provisioning or managing servers.
      • They automatically scale and only charge for the resources used when the code is executed.
      • Examples: AWS Lambda, Azure Functions and Google Cloud Functions.
      • Cost Savings
        • Reduces the cost of running and maintaining physical servers, as well as the cost of provisioning and configuring instances.
      • Easier Scalability
        • Quickly scale up or down when demand changes.
      • Increased Performance
        • Designed to be more efficient than traditional servers, resulting in faster response times and improved performance.
      • Reduced Maintenance
        • Noo need to manage or maintain servers with serverless computing, as the platform takes care of the underlying infrastructure. This reduces the administrative overhead associated with other compute types.

  • Instances:

    • Create and manage virtual machines in the cloud.
      • They provide a flexible and customizable compute environment.
      • Examples: Amazon EC2, Azure Virtual Machines and Google Compute Engine.
      • Reliability
        • Dedicated server offers on-demand scalability and reliability
      • Security
        • Dedicated server offers a more secure environment for your data
      • High Performance
        • Dedicated server allows for faster performance as it is not shared with other users.
      • Customization
        • Dedicated server allows for more flexibility and customization for your specific needs.
      • Flexibility
        • Dedicated server provides more flexibility in terms of resource allocation and usage.

  • Containers:

    • Run containerized applications in the cloud.
      • They provide a lightweight, portable and consistent environment.
      • Examples: Amazon Elastic Container Service (ECS), Azure Container Instances, and Google Kubernetes Engine (GKE).
      • Portability
        • Docker containers can be used on any hardware and cloud platform
      • Efficiency
        • Containers package up all the necessary resources to run an application, so there is no need for additional configuration.
      • Scalability
        • Docker containers are able to scale up or down quickly and easily.
      • Flexibility
        • Docker containers allow developers to work in any environment without worrying about compatibility issues.

  • Batch:

    • Run batch computing workloads in the cloud.
      • They provide the ability to process large amounts of data in parallel.
      • Examples: AWS Batch, Azure Batch and Google Cloud Dataflow.

  • Orchestration:

    • Manage and orchestrate the deployment and scaling of containerized applications.
      • Examples: Amazon Elastic Container Service for Kubernetes (EKS), Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE).

  • Web Application Hosting:

    • Deploy and scale web applications and services.
      • Examples: AWS Elastic Beanstalk, Azure App Service, and Google App Engine.

  • Edge computing:

    • Run workloads on edge devices, closer to the source of data, for lower latency and offline capabilities. Examples include AWS Greengrass, Azure IoT Edge, and Google Cloud IoT Edge.

  • Hybrid compute:

    • On-premises and in the cloud seamlessly. Examples include AWS Outposts, Azure Stack, and Google Anthos.

  • High-Performance Computing (HPC):

    • High-performance computing workloads in the cloud, by providing access to high-memory, high-CPU instances and other specialized hardware. Examples include AWS Cluster GPU instances, Azure HPC Virtual Machines, and Google Cloud Preemptible VMs.

AWS​

  • Amazon Elastic Compute Cloud (EC2): This is a web service that allows you to launch and manage virtual machines in the cloud.

  • Amazon Elastic Container Service (ECS): This is a service that allows you to easily run and scale containerized applications in the cloud.

  • Amazon Elastic Container Service for Kubernetes (EKS): This is a service that allows you to run Kubernetes clusters in the cloud.

  • AWS Lambda: This is a serverless compute service that allows you to run your code without provisioning or managing servers.

  • Amazon Lightsail: This is a service that makes it easy to launch and manage web applications and blogs in the cloud.

  • Amazon Elastic Block Store (EBS): This is a service that provides block storage for EC2 instances.

  • Amazon Elastic File System (EFS): This is a service that provides file storage for EC2 instances.

  • Amazon Elastic Inference: This service allows you to add GPU acceleration to your EC2 and Lambda instances.

  • AWS Batch: This is a service that allows you to run batch computing workloads in the cloud.

  • AWS App Runner: This is a fully managed service that makes it easy to build, deploy, and scale containerized applications quickly.

  • AWS Elastic Beanstalk: This is a fully managed service that makes it easy to deploy, run, and scale web applications and services.

  • AWS App Mesh: This is a service that allows you to monitor and control the communication between services in a microservices application.

  • AWS Fargate: This is a serverless compute engine for containers that allows you to run containerized applications without having to manage the underlying infrastructure.

  • AWS Outposts: This is a service that allows you to run AWS infrastructure on-premises, providing a seamless hybrid experience.

  • AWS App Runner: This is a fully managed service that makes it easy to build, deploy, and scale containerized applications quickly.

Azure​

  • Azure Virtual Machines: This service allows you to create and manage virtual machines in the cloud.

  • Azure Container Instances: This service allows you to run containerized applications without having to manage the underlying infrastructure.

  • Azure Kubernetes Service (AKS): This service allows you to run and manage Kubernetes clusters in the cloud.

  • Azure Functions: This service allows you to run serverless functions in the cloud.

  • Azure App Service: This service allows you to easily deploy and scale web applications and services.

  • Azure Batch: This service allows you to run batch computing workloads in the cloud.

  • Azure Service Fabric: This service allows you to build, deploy, and manage microservices-based applications.

  • Azure Container Registry: This service allows you to store and manage container images.

  • Azure IoT Edge: This service allows you to run IoT workloads on edge devices.

  • Azure Arc: This service allows you to manage and govern resources across on-premises, multi-cloud, and edge.

Google Cloud Platform (GCP)​

Google Cloud Platform (GCP) offers a wide range of services for computing, here are 10 compute services offered by GCP:

  • Compute Engine: This service allows you to create and manage virtual machines in the cloud.

  • Kubernetes Engine: This service allows you to run and manage Kubernetes clusters in the cloud.

  • App Engine: This service allows you to easily deploy and scale web applications and services.

  • Cloud Functions: This service allows you to run serverless functions in the cloud.

  • Cloud Run: This service allows you to run containerized applications without having to manage the underlying infrastructure.

  • Cloud Dataflow: This service allows you to build and run data processing pipelines.

  • Cloud Composer: This service allows you to manage and orchestrate workflows using Apache Airflow.

  • Cloud TPU: This service allows you to run machine learning workloads using Google's Tensor Processing Units.

  • Cloud Dataproc: This service allows you to create and manage managed Hadoop and Spark clusters.

  • Cloud Scheduler: This service allows you to schedule and automate background jobs or tasks.