Amazon Web Services (AWS) is the most comprehensive and widely used cloud platform in the world, with over 200 full services available from data centers all over the world. In this article, we are going to learn about the 20 most common AWS services. These services are
EC2 is Amazon’s cloud platform that provides secure and scalable computing power. Its goal is to provide developers with simple and useful access for cloud-scale web computing while giving full control over your computing resources.
Amazon’s reference database service makes database management, scalability and definition simple in the cloud. Automation of time-consuming activities including hardware delivery, database configuration and backups in a cost-effective and proportionate manner.
Amazon Lambda lets you run code without having to own or manage servers. You can use it to run code for almost any application or backend utility.
CloudFront is a content delivery network (CDN) technology that enables secure distribution of data, videos, applications and APIs on a global scale with minimal retrieval time. CloudFront is easily integrated with Amazon S3, Amazon EC2.
Amazon Kinesis is used for real-time data collection, processing and analysis, allowing you to respond faster. Cost-effective processing of scale data flow is a key aspect of AWS Kinesis.
AWS SQS is a fully managed messaging service for disconnecting and scaling micro-services, distributed systems and serverless applications.
DynamoDB is a built-in database of advanced key-value documents for a single-digit one-second performance. For web-scale applications, Dynamo provides built-in security with a fully managed, ongoing database, backup and restore and archived in memory.
Amazon Light Sail
Lightsail is a simple increase for new AWS users and want only virtual private servers. Lightsail has all the capabilities needed to launch a fast, low-cost, predictable product.
CloudWatch is a monitoring and viewing solution for DevOps engineers, developers, web reliability engineers and IT managers.
AWS Cognito maintains a dashboard of access control to put users into their online and mobile apps through sign-up and sign-in capabilities.
Inspector is an automated security assessment tool that improves the security and compatibility of AWS applications. Automated security reviews with AWS Inspector to reveal vulnerabilities, exposures and deviations.
Amazon Auto Scale
AWS Automated Scaling Service monitors your applications and adjusts capacity automatically to ensure consistent, predictable performance at the lowest possible cost.
Amazon Bean Elastic
Elastic Beanstalk is an AWS service that allows you to easily deploy and customize web applications written in Java, .NET, PHP, Python, Node.js, Ruby, Go and Docker in Apache, Nginx, Passenger and IIS.
Amazon SNS is a fully managed messaging service that offers a low-cost infrastructure for delivering bulk messages to mobile users. System-to-person or app-to-person communication across disconnected micro-service apps allows users to talk directly to customers.
Amazon VPC allows you to create a slightly isolated part of AWS Cloud where you can install AWS resources in a scale virtual environment. VPC allows you to have complete control over your environment.
AWS Glacier services are S3 cloud storage departments for caching and long-term backup data that are secure, configurable and inexpensive. These storage departments provide reliable supply while providing extensive security capabilities and compatibility.
Amazon EBS (Elastic Block Store)
Amazon Elastic Block Store (EBS) is a high-performance block storage solution for output workloads and transaction loads of any size, at any time, used within Amazon EC2.
AWS identity management and access enable secure and secure access and management of resources in a compatible and secure manner.
ElastiCache is an Amazon Web Services (AWS) service that makes the definition, activation and expansion of popular data storage in open source memory in the cloud.
SageMaker is a complete management service that gives developers and data scientists the tools they need to quickly build, train and deploy machine learning models.
This is this article. I hope you found this article useful, if you need any help please let me know in the comments section.
Do you want to buy me coffee, you can do it Here.
👋 Thanks for reading, see you next time