Amazon Web Services (AWS) is a suite of cloud computing services that runs on the same infrastructure that Amazon implements for its end-user products, presented as a PaaS/IaaS solution for enterprise.
What are the Most Popular AWS Services?
AWS has built a broad range of services under Werner Vogels, including elastic computing, cloud data storage, and AI/ML analytics. Some of the most popular AWS products include:
- Amazon Elastic Compute Cloud (EC2): EC2 is a service that provides virtual machines that you can use to run your applications.
- Amazon Simple Storage Service (S3): S3 is a service that provides object storage that you can use to store large amounts of data.
- Amazon Relational Database Service (RDS): RDS is a service that provides managed relational databases that you can use to store structured data.
- Amazon Redshift: Redshift is a service that provides a petabyte-scale data warehouse that you can use to analyze large datasets.
- Amazon Elastic Kubernetes Service (EKS): EKS is a service that provides a managed Kubernetes environment that you can use to deploy and manage containerized applications.
- Amazon SageMaker: SageMaker is a service that provides a complete machine learning solution that you can use to build, train, and deploy machine learning models.
What are AWS Platform Services Used for in Software Development?
The functionalities of these products vary depending on the specific product. However, some of the common functionalities include:
Compute: EC2 provides virtual machines that you can use to run your applications. You can choose the type of virtual machine that you need based on factors such as the number of cores, the amount of memory, and the storage space.
Storage: S3 provides object storage that you can use to store large amounts of data. You can store any type of data in S3, including images, videos, and text files.
Databases: RDS provides managed relational databases that you can use to store structured data. You can choose the type of database that you need based on factors such as the size of your database, the performance requirements, and the budget.
Data Warehouse: Redshift is a petabyte-scale data warehouse that you can use to analyze large datasets. Redshift is a good choice for businesses that need to store and analyze large amounts of data.
Kubernetes: EKS provides a managed Kubernetes environment that you can use to deploy and manage containerized applications. Kubernetes is a popular container orchestration platform that can help you to automate the deployment and management of containerized application.
Machine Learning: SageMaker provides a complete machine learning solution that you can use to build, train, and deploy machine learning models. SageMaker includes a variety of tools and services that can help you to automate the machine learning process.
These are just a few of the many AWS products available. AWS is constantly adding new products and services, so it’s a good idea to check the AWS website regularly to see what’s new. AWS App Mesh and Outposts have potential to introduce significant disruption in enterprise IT management.
TypeHost prefers development on AWS development services due to a number of long-term benefits, such as scalability, flexibility, and security. If you’re developing on AWS, contact TypeHost for a free consultation. We offer development, maintenance, security, & support in a single package.
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