Top 165 AWS Services in 20 Minutes

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Here is a comprehensive list of AWS services, each with a brief definition and a use case:
Definition: Scalable virtual servers in the cloud.
Use Case: Hosting applications and services with customizable server configurations.
Definition: Scalable object storage for any type of data.
Use Case: Storing and retrieving large amounts of data, such as backups and media files.
Definition: Managed relational database service.
Use Case: Hosting databases like MySQL, PostgreSQL, and Oracle in a managed environment.
Definition: Fully managed NoSQL database service.
Use Case: High-performance applications needing fast and consistent single-digit millisecond latency.
Definition: Isolated network environments in the AWS cloud.
Use Case: Hosting services and applications with enhanced security and control over the network.
Definition: Serverless compute service that runs code in response to events.
Use Case: Running backend code without managing servers, such as data processing and web service backends.
Definition: Content delivery network (CDN) service.
Use Case: Distributing content globally with low latency and high transfer speeds.
Definition: Scalable domain name system (DNS) web service.
Use Case: Managing DNS settings for applications and services.
Definition: Block storage for use with Amazon EC2.
Use Case: Persistent storage for EC2 instances, such as databases and file systems.
Definition: Low-cost archival storage.
Use Case: Long-term data backup and archival with infrequent access requirements.
Definition: Fully managed data warehouse service.
Use Case: Analyzing large datasets using SQL-based tools and business intelligence applications.
Definition: Managed Hadoop framework for processing big data.
Use Case: Running big data frameworks like Apache Spark and Hadoop for data analysis.
Definition: Real-time data streaming and processing.
Use Case: Processing and analyzing streaming data in real-time, such as log and event data.
Definition: Managed pub/sub messaging service.
Use Case: Sending notifications and alerts to users and systems.
Definition: Managed message queuing service.
Use Case: Decoupling and scaling microservices, distributed systems, and serverless applications.
Definition: Managed Elasticsearch service.
Use Case: Real-time search and analytics on large volumes of data.
Definition: Infrastructure as code service.
Use Case: Automating the setup and deployment of AWS resources using templates.
Definition: Service that logs AWS API calls.
Use Case: Auditing and monitoring AWS account activities for security and compliance.
Definition: Service for assessing, auditing, and evaluating AWS resource configurations.
Use Case: Monitoring and managing resource configurations for compliance and operational troubleshooting.
Definition: Continuous integration and delivery service.
Use Case: Automating the release pipeline for application updates.
Definition: Fully managed build service.
Use Case: Compiling source code, running tests, and producing software packages.
Definition: Automated code deployment service.
Use Case: Deploying code to various environments, including EC2 instances and on-premises servers.
Definition: Managed source control service.
Use Case: Hosting secure Git repositories for collaboration and version control.
Definition: Integrated development environment for building and deploying applications.
Use Case: Streamlining the development and deployment of applications on AWS.
Definition: User identity and data synchronization service.
Use Case: Managing user authentication and access control for mobile and web applications.
Definition: Managed cloud service for IoT devices.
Use Case: Connecting and managing IoT devices securely at scale.
Definition: Managed analytics service for IoT data.
Use Case: Analyzing and visualizing IoT device data.
Definition: Fully managed machine learning service.
Use Case: Building, training, and deploying machine learning models at scale.
Definition: Deep learning-enabled video camera.
Use Case: Developing and deploying deep learning models to interpret video feeds.
Definition: Autonomous 1/18th scale race car for reinforcement learning.
Use Case: Experimenting with reinforcement learning algorithms in a fun and interactive way.
Definition: Image and video analysis service.
Use Case: Identifying objects, people, text, and activities in images and videos.
Definition: Text-to-speech service.
Use Case: Converting text into lifelike speech for applications and services.
Definition: Service for building conversational interfaces using voice and text.
Use Case: Creating chatbots and virtual assistants.
Definition: Natural language processing service.
Use Case: Extracting insights and relationships from text data.
Definition: Automatic speech recognition service.
Use Case: Converting audio to text for transcription and analysis.
Definition: Neural machine translation service.
Use Case: Translating text between multiple languages.
Definition: Fully managed ETL (Extract, Transform, Load) service.
Use Case: Preparing and transforming data for analytics.
Definition: Managed batch processing service.
Use Case: Running batch computing workloads at any scale.
Definition: Serverless compute engine for containers.
Use Case: Running containers without managing the underlying infrastructure.
Definition: Managed Kubernetes service.
Use Case: Deploying and managing containerized applications using Kubernetes.
Definition: Managed container orchestration service.
Use Case: Running and managing Docker containers on a scalable infrastructure.
Definition: Fully managed service that extends AWS infrastructure to on-premises locations.
Use Case: Running AWS services on-premises for low-latency and local data processing needs.
Definition: Data transfer service using physical storage devices.
Use Case: Moving large amounts of data to and from AWS using secure and ruggedized appliances.
Definition: Exabyte-scale data transfer service using a secure truck.
Use Case: Transferring extremely large datasets to AWS, such as for data center migration.
Definition: Managed in-memory caching service.
Use Case: Improving application performance by caching frequently accessed data.
Definition: Platform as a Service (PaaS) for deploying and scaling web applications.
Use Case: Simplifying application deployment and management without needing to provision infrastructure.
Definition: Managed desktop virtualization service.
Use Case: Providing secure, cloud-based desktops for remote and distributed workforces.
Definition: Managed application streaming service.
Use Case: Delivering desktop applications to users without rewriting them for the web.
Definition: Extends AWS to edge devices for local data collection and analysis.
Use Case: Running local compute, messaging, data caching, and sync capabilities for IoT devices.
Definition: Service for debugging and analyzing microservices applications.
Use Case: Tracing requests and visualizing service maps to identify performance bottlenecks.
Definition: Configuration management service using Chef and Puppet.
Use Case: Automating server configuration, deployment, and management.
Definition: Online resource providing real-time guidance to help optimize AWS environments.
Use Case: Improving security, performance, and cost-effectiveness of AWS resources.
Definition: Service for managing approved catalogs of IT services.
Use Case: Centrally managing commonly deployed IT services for consistency and compliance.
Definition: Service for managing AWS and on-premises systems.
Use Case: Automating operational tasks like patch management and resource management.
Definition: Orchestration service for microservices applications.
Use Case: Coordinating multiple AWS services into serverless workflows.
Definition: Managed service for storing and retrieving secrets.
Use Case: Securely managing sensitive information such as database credentials and API keys.
Definition: Service for managing SSL/TLS certificates.
Use Case: Provisioning and managing certificates for websites and applications.
Definition: Managed service for creating and controlling encryption keys.
Use Case: Encrypting data at rest and in transit with managed encryption keys.
Definition: Managed DDoS protection service.
Use Case: Protecting applications from Distributed Denial of Service (DDoS) attacks.
Definition: Managed service for protecting web applications from common web exploits.
Use Case: Filtering and monitoring HTTP and HTTPS requests to protect against attacks like SQL injection.
Definition: Central resource for compliance-related information.
Use Case: Accessing AWS compliance reports and agreements for auditing purposes.
Definition: Managed hardware security module (HSM) service.
Use Case: Managing cryptographic keys in a hardware security module for compliance and data protection.
Definition: Central management of firewall rules across accounts and applications.
Use Case: Simplifying the management of WAF, Shield, and VPC security group rules.
Definition: Threat detection service that continuously monitors for malicious activity.
Use Case: Enhancing security by identifying threats using machine learning and anomaly detection.
Definition: Automated security assessment service.
Use Case: Identifying vulnerabilities and deviations from best practices in applications.
Definition: Unified security and compliance center.
Use Case: Aggregating and prioritizing security alerts from multiple AWS services.
Definition: Data security and privacy service using machine learning to protect sensitive data.
Use Case: Discovering and protecting personally identifiable information (PII) in S3 buckets.
Definition: Visual data preparation tool.
Use Case: Cleaning and normalizing data for analytics and machine learning.
Definition: Business intelligence service for data visualization.
Use Case: Creating interactive dashboards and visualizations from various data sources.
Definition: Web service for processing and moving data between AWS compute and storage services.
Use Case: Automating data workflows and data movement between AWS services and on-premises data sources.
Definition: Service for setting up a secure data lake.
Use Case: Collecting, cataloging, and securing data for analytics and machine learning.
Definition: Fully managed blockchain service.
Use Case: Creating and managing scalable blockchain networks using frameworks like Hyperledger Fabric and Ethereum.
Definition: Managed ledger database service.
Use Case: Recording immutable and cryptographically verifiable transaction logs.
Definition: Fully managed service for satellite communications.
Use Case: Downloading and processing satellite data without managing ground infrastructure.
Definition: Service for developing, testing, and deploying intelligent robotics applications.
Use Case: Simulating and deploying robotics applications with integrated cloud services.
Definition: Application testing service on real devices in the cloud.
Use Case: Testing mobile and web applications on a wide range of devices and browsers.
Definition: Crowdsourcing marketplace for tasks.
Use Case: Outsourcing microtasks to a distributed workforce for data labeling, content moderation, and more.
Definition: Central location for tracking application migrations.
Use Case: Simplifying and accelerating the migration of applications to AWS.
Definition: Service for discovering on-premises applications and dependencies.
Use Case: Planning and executing migrations to AWS by understanding application dependencies.
Definition: Service for migrating on-premises servers to AWS.
Use Case: Automating the migration of physical and virtual servers to AWS.
Definition: Service for migrating databases to AWS.
Use Case: Migrating databases from on-premises or other cloud environments to AWS.
Definition: Service for automating data transfers.
Use Case: Moving large amounts of data between on-premises storage and AWS.
Definition: Managed file transfer service supporting SFTP, FTPS, and FTP.
Use Case: Transferring files securely between on-premises environments and AWS.
Definition: Development platform for building mobile and web applications.
Use Case: Simplifying backend and frontend development for mobile and web apps.
Definition: Customer engagement service for targeted campaigns.
Use Case: Sending targeted emails, SMS, and push notifications to customers.
Definition: Managed message broker service for Apache ActiveMQ and RabbitMQ.
Use Case: Enabling messaging between distributed systems and microservices.
Definition: Serverless event bus service.
Use Case: Connecting application data from various sources for real-time event-driven applications.
Definition: Managed service for GraphQL APIs.
Use Case: Developing applications that can fetch, update, and sync data in real time.
Definition: Managed service for creating, deploying, and managing APIs.
Use Case: Enabling developers to create and publish RESTful and WebSocket APIs.
Definition: Media transcoding service in the cloud.
Use Case: Converting media files to various formats for playback on different devices.
Definition: File-based video transcoding service.
Use Case: Converting video files into formats optimized for different devices and platforms.
Definition: Live video processing service.
Use Case: Encoding and streaming live video content for broadcast and over-the-top (OTT) delivery.
Definition: Service for preparing and protecting video streams.
Use Case: Packaging video content for delivery to a variety of playback devices.
Definition: Storage service optimized for media.
Use Case: Storing and delivering video content with low latency and high performance.
Definition: Service for dynamic ad insertion in video streams.
Use Case: Monetizing video content with targeted advertising.
Definition: Secure document collaboration service.
Use Case: Sharing and collaborating on documents within a secure environment.
Definition: Managed email and calendar service.
Use Case: Providing business email and calendaring capabilities.
Definition: Data labeling service for machine learning.
Use Case: Creating training datasets for machine learning by labeling data.
Definition: Service for attaching low-cost GPU-powered inference acceleration to EC2 and SageMaker.
Use Case: Accelerating deep learning inference workloads.
Definition: Scalable file storage for use with Amazon EC2.
Use Case: Providing shared file storage for applications and workloads.
Definition: Networking service that improves the availability and performance of applications.
Use Case: Directing traffic through AWS's global network to optimize user experience.
Definition: Service for connecting VPCs and on-premises networks through a central hub.
Use Case: Simplifying network architecture and management.
Definition: Service for establishing a dedicated network connection to AWS.
Use Case: Providing high-speed, low-latency connectivity to AWS services.
Definition: Service for securely connecting on-premises networks to AWS.
Use Case: Establishing secure and encrypted connections to AWS resources.
Definition: Service mesh for microservices applications.
Use Case: Managing service-to-service communication for microservices applications.
Definition: Service for discovering and connecting application resources.
Use Case: Automatically discovering the locations of application components and resources.
Definition: Centralized management of global networks built around AWS Transit Gateway.
Use Case: Visualizing and monitoring global network topology.
Definition: Centralized backup service to automate and manage backups across AWS services.
Use Case: Protecting data by creating and managing backups across AWS services and on-premises environments.
Definition: Service for subscribing to third-party data in the cloud.
Use Case: Accessing and integrating third-party data sets into applications and analytics workflows.
Definition: Service for setting up and governing a secure, multi-account AWS environment.
Use Case: Simplifying the setup and governance of a secure AWS multi-account environment.
Definition: Service for managing multiple AWS accounts.
Use Case: Centralizing governance and management of multiple AWS accounts.
Definition: Service for reviewing and improving cloud architectures.
Use Case: Ensuring workloads are optimized according to AWS best practices.
Definition: Service for finding AWS-certified experts.
Use Case: Hiring AWS experts for project-based work and consulting.
Definition: Service for tracking and improving the resilience of applications.
Use Case: Assessing and enhancing the resiliency of applications running on AWS.
Definition: Support plans providing technical help and guidance.
Use Case: Receiving assistance and technical support for AWS services and applications.
Definition: Digital catalog for finding, buying, and deploying software.
Use Case: Discovering and purchasing software that runs on AWS.
Definition: Marketplace for finding AWS-certified freelancers and consultants.
Use Case: Hiring AWS experts for specialized projects and tasks.
Definition: Cloud-based contact center service.
Use Case: Setting up and managing a customer contact center.
Definition: Service for satellite data downlink and processing.
Use Case: Managing satellite communications and data processing.
Definition: Appliance and software for computer vision at the edge.
Use Case: Enhancing on-premises cameras with computer vision capabilities.
Definition: Service for equipment monitoring and predictive maintenance.
Use Case: Monitoring industrial equipment for predictive maintenance and reducing downtime.
Definition: Machine learning service for equipment monitoring.
Use Case: Detecting abnormal equipment behavior and predicting failures.
Definition: Machine learning service for image-based inspection.
Use Case: Automating quality control and defect detection in manufacturing.
Definition: Service for monitoring and detecting anomalies in metrics.
Use Case: Identifying unexpected changes in data patterns for business and operational metrics.
Definition: Service for adding location data to applications.
Use Case: Building applications with maps, geocoding, and routing functionalities.
Definition: Service for exploring and experimenting with quantum computing.
Use Case: Running quantum algorithms and simulations on different quantum hardware and simulators.
Definition: Service for automating infrastructure provisioning and code deployment.
Use Case: Managing deployment pipelines and infrastructure as code.
Definition: Data management and analytics service for the financial industry.
Use Case: Analyzing financial data with pre-built analytics tools.
Definition: Service for healthcare data storage and analytics.
Use Case: Aggregating and analyzing health data in a secure, compliant manner.
Definition: Service for integrating machine learning into Amazon Redshift.
Use Case: Running machine learning models on data within a Redshift data warehouse.
Definition: Machine learning-powered service for improving application availability.
Use Case: Detecting operational issues and recommending remediation actions.
Definition: Service for stress testing applications using chaos engineering.
Use Case: Testing application resilience by injecting failures into workloads.
Definition: Service for building mobile and web applications without programming.
Use Case: Creating custom business applications with no-code tools.
Definition: Managed time series database service.
Use Case: Storing and analyzing time series data for IoT, operational applications, and more.
Definition: Managed Redis-compatible, in-memory database service.
Use Case: Building applications requiring microsecond read and write operations.
Definition: Service for running containerized web applications and APIs.
Use Case: Deploying and running containerized applications without managing servers.
Definition: Service for building materialized views of data from multiple sources.
Use Case: Creating up-to-date, queryable datasets from multiple data sources.
Definition: Managed monitoring service compatible with Prometheus.
Use Case: Monitoring and alerting on containerized application metrics.
Definition: Fully managed service for Grafana, an open-source analytics and monitoring platform.
Use Case: Visualizing operational data and setting up alerts.
Definition: Managed service for migrating databases to AWS.
Use Case: Migrating relational databases, NoSQL databases, and data warehouses.
Definition: Service for subscribing to third-party data sets in Amazon Redshift.
Use Case: Accessing and analyzing third-party data directly within Amazon Redshift.
Definition: Intelligent search service powered by machine learning.
Use Case: Enabling natural language search within enterprise applications.
Definition: Fully managed, highly available database proxy for Amazon RDS.
Use Case: Improving application scalability and security for Amazon RDS databases.
Definition: Managed service for integrating SaaS applications with AWS services.
Use Case: Automating data flows between SaaS applications and AWS services.
Definition: Service for creative studios to produce content in the cloud.
Use Case: Creating, managing, and collaborating on digital content production.
Definition: Extension of an AWS region providing local compute, storage, and other services.
Use Case: Running latency-sensitive applications closer to end-users.
Definition: Service for deploying applications at the edge of the 5G network.
Use Case: Delivering ultra-low latency applications via edge computing in 5G networks.
Definition: Service for optimizing compute resources.
Use Case: Recommending optimal AWS resources for workloads based on usage patterns.
Definition: MySQL and PostgreSQL-compatible relational database.
Use Case: High performance, scalable, and highly available database.
Definition: Managed MongoDB-compatible database service.
Use Case: Building scalable applications that require a NoSQL document database.
Definition: Managed graph database service.
Use Case: Building applications that work with highly connected data, such as social networks.
Definition: Managed ledger database.
Use Case: Maintaining a complete, verifiable history of changes to application data.
Definition: Managed integration service.
Use Case: Securely transferring data between AWS services and SaaS applications.
Definition: Central metadata repository.
Use Case: Cataloging and managing metadata for ETL operations.
Definition: Fully managed Grafana service.
Use Case: Visualizing operational data from various sources.
Definition: Managed Prometheus-compatible monitoring service.
Use Case: Monitoring containerized applications at scale.
Definition: Managed firewall service for VPC.
Use Case: Deploying network protections for cloud infrastructure.
Definition: Managed load balancer that enables seamless insertion of third-party virtual appliances.
Use Case: Scaling and managing third-party network virtual appliances.
Definition: ChatOps service.
Use Case: Monitoring and interacting with AWS resources through chat channels.
Definition: Managed big data processing using Hadoop and Spark.
Use Case: Analyzing large volumes of data efficiently.
Definition: Real-time materialized views of data from multiple sources.
Use Case: Keeping data synchronized across different databases and data lakes.
Definition: Scalable simulation service for robotics.
Use Case: Testing and training intelligent robotics applications in a simulated environment.
Definition: Cost management service.
Use Case: Visualizing and managing AWS costs and usage.
Definition: Data security and privacy service.
Use Case: Protecting sensitive data stored in S3.
Definition: Time-series forecasting service.
Use Case: Predicting future business outcomes using machine learning.
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Definition: A hybrid cloud storage service that provides on-premises access to virtually unlimited cloud storage.
Use Case: Moving backups to the cloud and providing low-latency access to data stored in AWS for on-premises applications.
Definition: AWS Knowledge Center is a valuable resource that provides expert technical guidance, best practices, and troubleshooting tips for AWS customers.
Use Case: It provides practical insights and helps you overcome challenges in your AWS journey.