AWS Compute

This is a web service that provides your organization secure, resizable compute capacity in the AWS cloud. This is designed to make web-scale cloud computing easier for developers. It allows you to obtain and configure capacity with minimal friction while providing your organization with control over your computing resources. Also, it reduces the time to minutes, allowing your organization to scale capacity, both up and down, as your computing requirements change.

This helps your organization to maintain application availability and allows you to automatically add or remove EC2 instances. You can use features of Amazon EC2 Auto Scaling to keep your fleet. There are dynamic and predictive scaling features that will help your organization respond to its changing demand.

This is a scalable, performance container orchestration service. It supports Docker containers and allows you to quickly run and scale containerized applications on AWS. Also, it will eliminate the need for your organization to install, operate, manage, and scale any virtual machine.

This makes it easy to deploy, manage, and scale containerized applications utilizing Kubernetes on Amazon Web Services. This runs the Kubernetes management infrastructure across multiple AWS availability zones. Which will eliminate a single point of failure.

This is a fully-managed Docker container registry. It simplifies the process for developers to store, manage, and deploy Docker container images. Amazon ECR will host your images in a highly available and scalable architecture.

This is a virtual private server (VPS) solution. It provides developers compute, storage, and networking capacity and capabilities to deploy and manage websites and web applications in the cloud. It allows you to launch projects quickly, providing a virtual machine, SSD-based storage, data transfer, DNS management, and a static IP.

This allows your organization to run unlimited computing jobs on Amazon Web Services. It will provide the right quantity and type of computing resources required to complete the job. Also, it will plan, schedule, and execute the batch computing workloads across AWS compute services.

Web applications and services can be deployed and scaled that can be developed with the following: Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS. AWS Elastic Beanstalk will handle the deployment, load balancing, and auto-scaling.

This is a compute engine for Amazon ECS, allowing your organization to manger servers and clusters. It removes the need to choose server types, decide when to scale your clusters or optimize cluster packing. You will not have to interact or think about servers or clusters. Also, it lets you focus on designing and building your applications instead of managing the infrastructure that runs them. AWS Fargate eliminates the need to maintain a cluster of Amazon EC2 instances. So, you no longer have to pick the instance types, manage cluster scheduling, or optimize cluster utilization.

No need to provision or manage serves when you run code with AWS Lambda. It takes care of the necessary steps to run and scale your code.

This managed service is a repository for serverless applications. This will allow your organization to store and share reusable applications, and quickly assemble and deploy serverless architectures, reducing duplicate work and getting to market faster.

This allows the organization to migrate and extend its on-premises VMware. It is done in a highly secure and scalable environment. By doing this, an organization can easily and rapidly add new innovations to its enterprise applciations by integrating additional AWS services.

This will provide your organization with a hybrid experience between on-premise and cloud functionality. Bringing it all together so you can use the same APIs, tools, hardware, and cloud functionality. The outposts can be used to support workloads that need to remain on-premises due to low latency or local data processing needs.

This will provide your organization with a hybrid experience between on-premise and cloud functionality. Bringing it all together so you can use the same APIs, tools, hardware, and cloud functionality. The outposts can be used to support workloads that need to remain on-premises due to low latency or local data processing needs.