Top 165 AWS Services in 20 Minutes

Top 165 AWS Services in 20 Minutes

Here is a comprehensive list of AWS services, each with a brief definition and a use case:

  1. Amazon EC2 (Elastic Compute Cloud)

    • Definition: Scalable virtual servers in the cloud.

    • Use Case: Hosting applications and services with customizable server configurations.

  1. Amazon S3 (Simple Storage Service)

    • Definition: Scalable object storage for any type of data.

    • Use Case: Storing and retrieving large amounts of data, such as backups and media files.

  1. Amazon RDS (Relational Database Service)

    • Definition: Managed relational database service.

    • Use Case: Hosting databases like MySQL, PostgreSQL, and Oracle in a managed environment.

  1. Amazon DynamoDB

    • Definition: Fully managed NoSQL database service.

    • Use Case: High-performance applications needing fast and consistent single-digit millisecond latency.

  1. Amazon VPC (Virtual Private Cloud)

    • Definition: Isolated network environments in the AWS cloud.

    • Use Case: Hosting services and applications with enhanced security and control over the network.

  1. AWS Lambda

    • 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.

  1. Amazon CloudFront

    • Definition: Content delivery network (CDN) service.

    • Use Case: Distributing content globally with low latency and high transfer speeds.

  1. Amazon Route 53

    • Definition: Scalable domain name system (DNS) web service.

    • Use Case: Managing DNS settings for applications and services.

  1. Amazon EBS (Elastic Block Store)

    • Definition: Block storage for use with Amazon EC2.

    • Use Case: Persistent storage for EC2 instances, such as databases and file systems.

  1. Amazon Glacier

    • Definition: Low-cost archival storage.

    • Use Case: Long-term data backup and archival with infrequent access requirements.

  1. Amazon Redshift

    • Definition: Fully managed data warehouse service.

    • Use Case: Analyzing large datasets using SQL-based tools and business intelligence applications.

  1. Amazon EMR (Elastic MapReduce)

    • Definition: Managed Hadoop framework for processing big data.

    • Use Case: Running big data frameworks like Apache Spark and Hadoop for data analysis.

  1. Amazon Kinesis

    • Definition: Real-time data streaming and processing.

    • Use Case: Processing and analyzing streaming data in real-time, such as log and event data.

  1. Amazon SNS (Simple Notification Service)

    • Definition: Managed pub/sub messaging service.

    • Use Case: Sending notifications and alerts to users and systems.

  1. Amazon SQS (Simple Queue Service)

    • Definition: Managed message queuing service.

    • Use Case: Decoupling and scaling microservices, distributed systems, and serverless applications.

  1. Amazon Elasticsearch Service

    • Definition: Managed Elasticsearch service.

    • Use Case: Real-time search and analytics on large volumes of data.

  1. AWS CloudFormation

    • Definition: Infrastructure as code service.

    • Use Case: Automating the setup and deployment of AWS resources using templates.

  1. AWS CloudTrail

    • Definition: Service that logs AWS API calls.

    • Use Case: Auditing and monitoring AWS account activities for security and compliance.

  1. AWS Config

    • Definition: Service for assessing, auditing, and evaluating AWS resource configurations.

    • Use Case: Monitoring and managing resource configurations for compliance and operational troubleshooting.

  1. AWS CodePipeline

    • Definition: Continuous integration and delivery service.

    • Use Case: Automating the release pipeline for application updates.

  1. AWS CodeBuild

    • Definition: Fully managed build service.

    • Use Case: Compiling source code, running tests, and producing software packages.

  1. AWS CodeDeploy

    • Definition: Automated code deployment service.

    • Use Case: Deploying code to various environments, including EC2 instances and on-premises servers.

  1. AWS CodeCommit

    • Definition: Managed source control service.

    • Use Case: Hosting secure Git repositories for collaboration and version control.

  1. AWS CodeStar

    • Definition: Integrated development environment for building and deploying applications.

    • Use Case: Streamlining the development and deployment of applications on AWS.

  1. Amazon Cognito

    • Definition: User identity and data synchronization service.

    • Use Case: Managing user authentication and access control for mobile and web applications.

  1. AWS IoT Core

    • Definition: Managed cloud service for IoT devices.

    • Use Case: Connecting and managing IoT devices securely at scale.

  1. AWS IoT Analytics

    • Definition: Managed analytics service for IoT data.

    • Use Case: Analyzing and visualizing IoT device data.

  1. Amazon SageMaker

    • Definition: Fully managed machine learning service.

    • Use Case: Building, training, and deploying machine learning models at scale.

  1. AWS DeepLens

    • Definition: Deep learning-enabled video camera.

    • Use Case: Developing and deploying deep learning models to interpret video feeds.

  1. AWS DeepRacer

    • Definition: Autonomous 1/18th scale race car for reinforcement learning.

    • Use Case: Experimenting with reinforcement learning algorithms in a fun and interactive way.

  1. Amazon Rekognition

    • Definition: Image and video analysis service.

    • Use Case: Identifying objects, people, text, and activities in images and videos.

  1. Amazon Polly

    • Definition: Text-to-speech service.

    • Use Case: Converting text into lifelike speech for applications and services.

  1. Amazon Lex

    • Definition: Service for building conversational interfaces using voice and text.

    • Use Case: Creating chatbots and virtual assistants.

  1. Amazon Comprehend

    • Definition: Natural language processing service.

    • Use Case: Extracting insights and relationships from text data.

  1. Amazon Transcribe

    • Definition: Automatic speech recognition service.

    • Use Case: Converting audio to text for transcription and analysis.

  1. Amazon Translate

    • Definition: Neural machine translation service.

    • Use Case: Translating text between multiple languages.

  1. AWS Glue

    • Definition: Fully managed ETL (Extract, Transform, Load) service.

    • Use Case: Preparing and transforming data for analytics.

  1. AWS Batch

    • Definition: Managed batch processing service.

    • Use Case: Running batch computing workloads at any scale.

  1. AWS Fargate

    • Definition: Serverless compute engine for containers.

    • Use Case: Running containers without managing the underlying infrastructure.

  1. Amazon EKS (Elastic Kubernetes Service)

    • Definition: Managed Kubernetes service.

    • Use Case: Deploying and managing containerized applications using Kubernetes.

  1. Amazon ECS (Elastic Container Service)

    • Definition: Managed container orchestration service.

    • Use Case: Running and managing Docker containers on a scalable infrastructure.

  1. AWS Outposts

    • 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.

  1. AWS Snowball

    • Definition: Data transfer service using physical storage devices.

    • Use Case: Moving large amounts of data to and from AWS using secure and ruggedized appliances.

  1. AWS Snowmobile

    • Definition: Exabyte-scale data transfer service using a secure truck.

    • Use Case: Transferring extremely large datasets to AWS, such as for data center migration.

  1. Amazon ElastiCache

    • Definition: Managed in-memory caching service.

    • Use Case: Improving application performance by caching frequently accessed data.

  1. AWS Elastic Beanstalk

    • Definition: Platform as a Service (PaaS) for deploying and scaling web applications.

    • Use Case: Simplifying application deployment and management without needing to provision infrastructure.

  1. Amazon WorkSpaces

    • Definition: Managed desktop virtualization service.

    • Use Case: Providing secure, cloud-based desktops for remote and distributed workforces.

  1. Amazon AppStream 2.0

    • Definition: Managed application streaming service.

    • Use Case: Delivering desktop applications to users without rewriting them for the web.

  1. AWS IoT Greengrass

    • 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.

  1. AWS X-Ray

    • Definition: Service for debugging and analyzing microservices applications.

    • Use Case: Tracing requests and visualizing service maps to identify performance bottlenecks.

  1. AWS OpsWorks

    • Definition: Configuration management service using Chef and Puppet.

    • Use Case: Automating server configuration, deployment, and management.

  1. AWS Trusted Advisor

    • Definition: Online resource providing real-time guidance to help optimize AWS environments.

    • Use Case: Improving security, performance, and cost-effectiveness of AWS resources.

  1. AWS Service Catalog

    • Definition: Service for managing approved catalogs of IT services.

    • Use Case: Centrally managing commonly deployed IT services for consistency and compliance.

  1. AWS Systems Manager

    • Definition: Service for managing AWS and on-premises systems.

    • Use Case: Automating operational tasks like patch management and resource management.

  1. AWS Step Functions

    • Definition: Orchestration service for microservices applications.

    • Use Case: Coordinating multiple AWS services into serverless workflows.

  1. AWS Secrets Manager

    • Definition: Managed service for storing and retrieving secrets.

    • Use Case: Securely managing sensitive information such as database credentials and API keys.

  1. AWS Certificate Manager

    • Definition: Service for managing SSL/TLS certificates.

    • Use Case: Provisioning and managing certificates for websites and applications.

  1. AWS Key Management Service (KMS)

    • Definition: Managed service for creating and controlling encryption keys.

    • Use Case: Encrypting data at rest and in transit with managed encryption keys.

  1. AWS Shield

    • Definition: Managed DDoS protection service.

    • Use Case: Protecting applications from Distributed Denial of Service (DDoS) attacks.

  1. AWS WAF (Web Application Firewall)

    • 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.

  1. AWS Artifact

    • Definition: Central resource for compliance-related information.

    • Use Case: Accessing AWS compliance reports and agreements for auditing purposes.

  1. AWS CloudHSM

    • Definition: Managed hardware security module (HSM) service.

    • Use Case: Managing cryptographic keys in a hardware security module for compliance and data protection.

  1. AWS Firewall Manager

    • Definition: Central management of firewall rules across accounts and applications.

    • Use Case: Simplifying the management of WAF, Shield, and VPC security group rules.

  1. Amazon GuardDuty

    • Definition: Threat detection service that continuously monitors for malicious activity.

    • Use Case: Enhancing security by identifying threats using machine learning and anomaly detection.

  1. Amazon Inspector

    • Definition: Automated security assessment service.

    • Use Case: Identifying vulnerabilities and deviations from best practices in applications.

  1. AWS Security Hub

    • Definition: Unified security and compliance center.

    • Use Case: Aggregating and prioritizing security alerts from multiple AWS services.

  1. AWS Macie

    • 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.

  1. AWS Glue DataBrew

    • Definition: Visual data preparation tool.

    • Use Case: Cleaning and normalizing data for analytics and machine learning.

  1. Amazon QuickSight

    • Definition: Business intelligence service for data visualization.

    • Use Case: Creating interactive dashboards and visualizations from various data sources.

  1. AWS Data Pipeline

    • 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.

  1. AWS Lake Formation

    • Definition: Service for setting up a secure data lake.

    • Use Case: Collecting, cataloging, and securing data for analytics and machine learning.

  1. Amazon Managed Blockchain

    • Definition: Fully managed blockchain service.

    • Use Case: Creating and managing scalable blockchain networks using frameworks like Hyperledger Fabric and Ethereum.

  1. Amazon Quantum Ledger Database (QLDB)

    • Definition: Managed ledger database service.

    • Use Case: Recording immutable and cryptographically verifiable transaction logs.

  1. AWS Ground Station

    • Definition: Fully managed service for satellite communications.

    • Use Case: Downloading and processing satellite data without managing ground infrastructure.

  1. AWS RoboMaker

    • Definition: Service for developing, testing, and deploying intelligent robotics applications.

    • Use Case: Simulating and deploying robotics applications with integrated cloud services.

  1. AWS Device Farm

    • 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.

  1. Amazon Mechanical Turk

    • Definition: Crowdsourcing marketplace for tasks.

    • Use Case: Outsourcing microtasks to a distributed workforce for data labeling, content moderation, and more.

  1. AWS Migration Hub

    • Definition: Central location for tracking application migrations.

    • Use Case: Simplifying and accelerating the migration of applications to AWS.

  1. AWS Application Discovery Service

    • Definition: Service for discovering on-premises applications and dependencies.

    • Use Case: Planning and executing migrations to AWS by understanding application dependencies.

  1. AWS Server Migration Service (SMS)

    • Definition: Service for migrating on-premises servers to AWS.

    • Use Case: Automating the migration of physical and virtual servers to AWS.

  1. AWS Database Migration Service (DMS)

    • Definition: Service for migrating databases to AWS.

    • Use Case: Migrating databases from on-premises or other cloud environments to AWS.

  1. AWS DataSync

    • Definition: Service for automating data transfers.

    • Use Case: Moving large amounts of data between on-premises storage and AWS.

  1. AWS Transfer Family

    • Definition: Managed file transfer service supporting SFTP, FTPS, and FTP.

    • Use Case: Transferring files securely between on-premises environments and AWS.

  1. AWS Amplify

    • Definition: Development platform for building mobile and web applications.

    • Use Case: Simplifying backend and frontend development for mobile and web apps.

  1. Amazon Pinpoint

    • Definition: Customer engagement service for targeted campaigns.

    • Use Case: Sending targeted emails, SMS, and push notifications to customers.

  1. Amazon MQ

    • Definition: Managed message broker service for Apache ActiveMQ and RabbitMQ.

    • Use Case: Enabling messaging between distributed systems and microservices.

  1. Amazon EventBridge

    • Definition: Serverless event bus service.

    • Use Case: Connecting application data from various sources for real-time event-driven applications.

  1. AWS AppSync

    • Definition: Managed service for GraphQL APIs.

    • Use Case: Developing applications that can fetch, update, and sync data in real time.

  1. Amazon API Gateway

    • Definition: Managed service for creating, deploying, and managing APIs.

    • Use Case: Enabling developers to create and publish RESTful and WebSocket APIs.

  1. Amazon Elastic Transcoder

    • Definition: Media transcoding service in the cloud.

    • Use Case: Converting media files to various formats for playback on different devices.

  1. AWS Elemental MediaConvert

    • Definition: File-based video transcoding service.

    • Use Case: Converting video files into formats optimized for different devices and platforms.

  1. AWS Elemental MediaLive

    • Definition: Live video processing service.

    • Use Case: Encoding and streaming live video content for broadcast and over-the-top (OTT) delivery.

  1. AWS Elemental MediaPackage

    • Definition: Service for preparing and protecting video streams.

    • Use Case: Packaging video content for delivery to a variety of playback devices.

  1. AWS Elemental MediaStore

    • Definition: Storage service optimized for media.

    • Use Case: Storing and delivering video content with low latency and high performance.

  1. AWS Elemental MediaTailor

    • Definition: Service for dynamic ad insertion in video streams.

    • Use Case: Monetizing video content with targeted advertising.

  1. Amazon WorkDocs

    • Definition: Secure document collaboration service.

    • Use Case: Sharing and collaborating on documents within a secure environment.

  1. Amazon WorkMail

    • Definition: Managed email and calendar service.

    • Use Case: Providing business email and calendaring capabilities.

  1. AWS Ground Truth

    • Definition: Data labeling service for machine learning.

    • Use Case: Creating training datasets for machine learning by labeling data.

  1. AWS Elastic Inference

    • Definition: Service for attaching low-cost GPU-powered inference acceleration to EC2 and SageMaker.

    • Use Case: Accelerating deep learning inference workloads.

  1. Amazon Elastic File System (EFS)

    • Definition: Scalable file storage for use with Amazon EC2.

    • Use Case: Providing shared file storage for applications and workloads.

  1. AWS Global Accelerator

    • Definition: Networking service that improves the availability and performance of applications.

    • Use Case: Directing traffic through AWS's global network to optimize user experience.

  1. AWS Transit Gateway

    • Definition: Service for connecting VPCs and on-premises networks through a central hub.

    • Use Case: Simplifying network architecture and management.

  1. AWS Direct Connect

    • Definition: Service for establishing a dedicated network connection to AWS.

    • Use Case: Providing high-speed, low-latency connectivity to AWS services.

  1. AWS VPN

    • Definition: Service for securely connecting on-premises networks to AWS.

    • Use Case: Establishing secure and encrypted connections to AWS resources.

  1. AWS App Mesh

    • Definition: Service mesh for microservices applications.

    • Use Case: Managing service-to-service communication for microservices applications.

  1. AWS Cloud Map

    • Definition: Service for discovering and connecting application resources.

    • Use Case: Automatically discovering the locations of application components and resources.

  1. AWS Transit Gateway Network Manager

    • Definition: Centralized management of global networks built around AWS Transit Gateway.

    • Use Case: Visualizing and monitoring global network topology.

  1. AWS Backup

    • 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.

  1. AWS Data Exchange

    • 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.

  1. AWS Control Tower

    • 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.

  1. AWS Organizations

    • Definition: Service for managing multiple AWS accounts.

    • Use Case: Centralizing governance and management of multiple AWS accounts.

  1. AWS Well-Architected Tool

    • Definition: Service for reviewing and improving cloud architectures.

    • Use Case: Ensuring workloads are optimized according to AWS best practices.

  1. AWS IQ

    • Definition: Service for finding AWS-certified experts.

    • Use Case: Hiring AWS experts for project-based work and consulting.

  1. AWS Resilience Hub

    • Definition: Service for tracking and improving the resilience of applications.

    • Use Case: Assessing and enhancing the resiliency of applications running on AWS.

  1. AWS Support

    • Definition: Support plans providing technical help and guidance.

    • Use Case: Receiving assistance and technical support for AWS services and applications.

  1. AWS Marketplace

    • Definition: Digital catalog for finding, buying, and deploying software.

    • Use Case: Discovering and purchasing software that runs on AWS.

  1. AWS IQ

    • Definition: Marketplace for finding AWS-certified freelancers and consultants.

    • Use Case: Hiring AWS experts for specialized projects and tasks.

  1. Amazon Connect

    • Definition: Cloud-based contact center service.

    • Use Case: Setting up and managing a customer contact center.

  1. AWS Ground Station

    • Definition: Service for satellite data downlink and processing.

    • Use Case: Managing satellite communications and data processing.

  1. AWS Panorama

    • Definition: Appliance and software for computer vision at the edge.

    • Use Case: Enhancing on-premises cameras with computer vision capabilities.

  1. Amazon Monitron

    • Definition: Service for equipment monitoring and predictive maintenance.

    • Use Case: Monitoring industrial equipment for predictive maintenance and reducing downtime.

  1. Amazon Lookout for Equipment

    • Definition: Machine learning service for equipment monitoring.

    • Use Case: Detecting abnormal equipment behavior and predicting failures.

  1. Amazon Lookout for Vision

    • Definition: Machine learning service for image-based inspection.

    • Use Case: Automating quality control and defect detection in manufacturing.

  1. Amazon Lookout for Metrics

    • Definition: Service for monitoring and detecting anomalies in metrics.

    • Use Case: Identifying unexpected changes in data patterns for business and operational metrics.

  1. Amazon Location Service

    • Definition: Service for adding location data to applications.

    • Use Case: Building applications with maps, geocoding, and routing functionalities.

  1. AWS Braket

    • Definition: Service for exploring and experimenting with quantum computing.

    • Use Case: Running quantum algorithms and simulations on different quantum hardware and simulators.

  1. AWS Proton

    • Definition: Service for automating infrastructure provisioning and code deployment.

    • Use Case: Managing deployment pipelines and infrastructure as code.

  1. Amazon FinSpace

    • Definition: Data management and analytics service for the financial industry.

    • Use Case: Analyzing financial data with pre-built analytics tools.

  1. Amazon HealthLake

    • Definition: Service for healthcare data storage and analytics.

    • Use Case: Aggregating and analyzing health data in a secure, compliant manner.

  1. Amazon Redshift ML

    • Definition: Service for integrating machine learning into Amazon Redshift.

    • Use Case: Running machine learning models on data within a Redshift data warehouse.

  1. Amazon DevOps Guru

    • Definition: Machine learning-powered service for improving application availability.

    • Use Case: Detecting operational issues and recommending remediation actions.

  1. AWS Fault Injection Simulator

    • Definition: Service for stress testing applications using chaos engineering.

    • Use Case: Testing application resilience by injecting failures into workloads.

  1. Amazon Honeycode

    • Definition: Service for building mobile and web applications without programming.

    • Use Case: Creating custom business applications with no-code tools.

  1. Amazon Timestream

    • Definition: Managed time series database service.

    • Use Case: Storing and analyzing time series data for IoT, operational applications, and more.

  1. Amazon MemoryDB for Redis

    • Definition: Managed Redis-compatible, in-memory database service.

    • Use Case: Building applications requiring microsecond read and write operations.

  1. AWS App Runner

    • Definition: Service for running containerized web applications and APIs.

    • Use Case: Deploying and running containerized applications without managing servers.

  1. AWS Glue Elastic Views

    • Definition: Service for building materialized views of data from multiple sources.

    • Use Case: Creating up-to-date, queryable datasets from multiple data sources.

  1. Amazon Managed Service for Prometheus

    • Definition: Managed monitoring service compatible with Prometheus.

    • Use Case: Monitoring and alerting on containerized application metrics.

  1. Amazon Managed Service for Grafana

    • Definition: Fully managed service for Grafana, an open-source analytics and monitoring platform.

    • Use Case: Visualizing operational data and setting up alerts.

  1. AWS DMS (Database Migration Service)

    • Definition: Managed service for migrating databases to AWS.

    • Use Case: Migrating relational databases, NoSQL databases, and data warehouses.

  1. AWS Data Exchange for Amazon Redshift

    • Definition: Service for subscribing to third-party data sets in Amazon Redshift.

    • Use Case: Accessing and analyzing third-party data directly within Amazon Redshift.

  1. Amazon Kendra

    • Definition: Intelligent search service powered by machine learning.

    • Use Case: Enabling natural language search within enterprise applications.

  1. Amazon RDS Proxy

    • Definition: Fully managed, highly available database proxy for Amazon RDS.

    • Use Case: Improving application scalability and security for Amazon RDS databases.

  1. AWS AppFlow

    • Definition: Managed service for integrating SaaS applications with AWS services.

    • Use Case: Automating data flows between SaaS applications and AWS services.

  1. Amazon Nimble Studio

    • Definition: Service for creative studios to produce content in the cloud.

    • Use Case: Creating, managing, and collaborating on digital content production.

  1. AWS Local Zones

    • Definition: Extension of an AWS region providing local compute, storage, and other services.

    • Use Case: Running latency-sensitive applications closer to end-users.

  1. AWS Wavelength

    • 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.

  1. AWS Compute Optimizer

    • Definition: Service for optimizing compute resources.

    • Use Case: Recommending optimal AWS resources for workloads based on usage patterns.

  1. Amazon Aurora

    • Definition: MySQL and PostgreSQL-compatible relational database.

    • Use Case: High performance, scalable, and highly available database.

  1. Amazon DocumentDB

    • Definition: Managed MongoDB-compatible database service.

    • Use Case: Building scalable applications that require a NoSQL document database.

  1. Amazon Neptune

    • Definition: Managed graph database service.

    • Use Case: Building applications that work with highly connected data, such as social networks.

  1. Amazon QLDB (Quantum Ledger Database)

    • Definition: Managed ledger database.

    • Use Case: Maintaining a complete, verifiable history of changes to application data.

  1. Amazon AppFlow

    • Definition: Managed integration service.

    • Use Case: Securely transferring data between AWS services and SaaS applications.

  1. AWS Glue Data Catalog

    • Definition: Central metadata repository.

    • Use Case: Cataloging and managing metadata for ETL operations.

  1. Amazon Managed Grafana

    • Definition: Fully managed Grafana service.

    • Use Case: Visualizing operational data from various sources.

  1. Amazon Managed Service for Prometheus (AMP)

    • Definition: Managed Prometheus-compatible monitoring service.

    • Use Case: Monitoring containerized applications at scale.

  1. AWS Network Firewall

    • Definition: Managed firewall service for VPC.

    • Use Case: Deploying network protections for cloud infrastructure.

  1. AWS Gateway Load Balancer

    • Definition: Managed load balancer that enables seamless insertion of third-party virtual appliances.

    • Use Case: Scaling and managing third-party network virtual appliances.

  1. AWS Chatbot

    • Definition: ChatOps service.

    • Use Case: Monitoring and interacting with AWS resources through chat channels.

  1. Amazon Elastic MapReduce (EMR)

    • Definition: Managed big data processing using Hadoop and Spark.

    • Use Case: Analyzing large volumes of data efficiently.

  1. AWS Glue Elastic Views

    • Definition: Real-time materialized views of data from multiple sources.

    • Use Case: Keeping data synchronized across different databases and data lakes.

  1. AWS RoboMaker Simulation

    • Definition: Scalable simulation service for robotics.

    • Use Case: Testing and training intelligent robotics applications in a simulated environment.

  1. AWS Cost Explorer

    • Definition: Cost management service.

    • Use Case: Visualizing and managing AWS costs and usage.

  1. Amazon Macie Classic

    • Definition: Data security and privacy service.

    • Use Case: Protecting sensitive data stored in S3.

  1. Amazon Forecast

    • Definition: Time-series forecasting service.

    • Use Case: Predicting future business outcomes using machine learning.


  1. AWS Storage Gateway

    • 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.

  1. AWS Knowledge Center

    • 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.