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.

2. 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.

3. Amazon RDS (Relational Database Service)

   • Definition: Managed relational database service.

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

4. Amazon DynamoDB

   • Definition: Fully managed NoSQL database service.

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

5. 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.

6. 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.

7. Amazon CloudFront

   • Definition: Content delivery network (CDN) service.

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

8. Amazon Route 53

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

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

9. 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.

10. Amazon Glacier

    • Definition: Low-cost archival storage.

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

11. Amazon Redshift

    • Definition: Fully managed data warehouse service.

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

12. 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.

13. 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.

14. Amazon SNS (Simple Notification Service)

    • Definition: Managed pub/sub messaging service.

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

15. Amazon SQS (Simple Queue Service)

    • Definition: Managed message queuing service.

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

16. Amazon Elasticsearch Service

    • Definition: Managed Elasticsearch service.

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

17. AWS CloudFormation

    • Definition: Infrastructure as code service.

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

18. AWS CloudTrail

    • Definition: Service that logs AWS API calls.

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

19. AWS Config

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

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

20. AWS CodePipeline

    • Definition: Continuous integration and delivery service.

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

21. AWS CodeBuild

    • Definition: Fully managed build service.

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

22. AWS CodeDeploy

    • Definition: Automated code deployment service.

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

23. AWS CodeCommit

    • Definition: Managed source control service.

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

24. AWS CodeStar

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

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

25. Amazon Cognito

    • Definition: User identity and data synchronization service.

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

26. AWS IoT Core

    • Definition: Managed cloud service for IoT devices.

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

27. AWS IoT Analytics

    • Definition: Managed analytics service for IoT data.

    • Use Case: Analyzing and visualizing IoT device data.

28. Amazon SageMaker

    • Definition: Fully managed machine learning service.

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

29. AWS DeepLens

    • Definition: Deep learning-enabled video camera.

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

30. 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.

31. Amazon Rekognition

    • Definition: Image and video analysis service.

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

32. Amazon Polly

    • Definition: Text-to-speech service.

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

33. Amazon Lex

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

    • Use Case: Creating chatbots and virtual assistants.

34. Amazon Comprehend

    • Definition: Natural language processing service.

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

35. Amazon Transcribe

    • Definition: Automatic speech recognition service.

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

36. Amazon Translate

    • Definition: Neural machine translation service.

    • Use Case: Translating text between multiple languages.

37. AWS Glue

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

    • Use Case: Preparing and transforming data for analytics.

38. AWS Batch

    • Definition: Managed batch processing service.

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

39. AWS Fargate

    • Definition: Serverless compute engine for containers.

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

40. Amazon EKS (Elastic Kubernetes Service)

    • Definition: Managed Kubernetes service.

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

41. Amazon ECS (Elastic Container Service)

    • Definition: Managed container orchestration service.

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

42. 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.

43. 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.

44. 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.

45. Amazon ElastiCache

    • Definition: Managed in-memory caching service.

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

46. 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.

47. Amazon WorkSpaces

    • Definition: Managed desktop virtualization service.

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

48. Amazon AppStream 2.0

    • Definition: Managed application streaming service.

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

49. 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.

50. AWS X-Ray

    • Definition: Service for debugging and analyzing microservices applications.

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

51. AWS OpsWorks

    • Definition: Configuration management service using Chef and Puppet.

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

52. 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.

53. AWS Service Catalog

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

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

54. AWS Systems Manager

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

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

55. AWS Step Functions

    • Definition: Orchestration service for microservices applications.

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

56. AWS Secrets Manager

    • Definition: Managed service for storing and retrieving secrets.

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

57. AWS Certificate Manager

    • Definition: Service for managing SSL/TLS certificates.

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

58. 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.

59. AWS Shield

    • Definition: Managed DDoS protection service.

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

60. 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.

61. AWS Artifact

    • Definition: Central resource for compliance-related information.

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

62. AWS CloudHSM

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

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

63. 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.

64. 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.

65. Amazon Inspector

    • Definition: Automated security assessment service.

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

66. AWS Security Hub

    • Definition: Unified security and compliance center.

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

67. 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.

68. AWS Glue DataBrew

    • Definition: Visual data preparation tool.

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

69. Amazon QuickSight

    • Definition: Business intelligence service for data visualization.

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

70. 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.

71. AWS Lake Formation

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

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

72. Amazon Managed Blockchain

    • Definition: Fully managed blockchain service.

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

73. Amazon Quantum Ledger Database (QLDB)

    • Definition: Managed ledger database service.

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

74. AWS Ground Station

    • Definition: Fully managed service for satellite communications.

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

75. AWS RoboMaker

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

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

76. 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.

77. Amazon Mechanical Turk

    • Definition: Crowdsourcing marketplace for tasks.

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

78. AWS Migration Hub

    • Definition: Central location for tracking application migrations.

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

79. 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.

80. 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.

81. 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.

82. AWS DataSync

    • Definition: Service for automating data transfers.

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

83. AWS Transfer Family

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

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

84. AWS Amplify

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

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

85. Amazon Pinpoint

    • Definition: Customer engagement service for targeted campaigns.

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

86. Amazon MQ

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

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

87. Amazon EventBridge

    • Definition: Serverless event bus service.

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

88. AWS AppSync

    • Definition: Managed service for GraphQL APIs.

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

89. Amazon API Gateway

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

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

90. Amazon Elastic Transcoder

    • Definition: Media transcoding service in the cloud.

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

91. AWS Elemental MediaConvert

    • Definition: File-based video transcoding service.

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

92. AWS Elemental MediaLive

    • Definition: Live video processing service.

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

93. AWS Elemental MediaPackage

    • Definition: Service for preparing and protecting video streams.

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

94. AWS Elemental MediaStore

    • Definition: Storage service optimized for media.

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

95. AWS Elemental MediaTailor

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

    • Use Case: Monetizing video content with targeted advertising.

96. Amazon WorkDocs

    • Definition: Secure document collaboration service.

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

97. Amazon WorkMail

    • Definition: Managed email and calendar service.

    • Use Case: Providing business email and calendaring capabilities.

98. AWS Ground Truth

    • Definition: Data labeling service for machine learning.

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

99. AWS Elastic Inference

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

    • Use Case: Accelerating deep learning inference workloads.

100. Amazon Elastic File System (EFS)

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

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

101. 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.

102. AWS Transit Gateway

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

     • Use Case: Simplifying network architecture and management.

103. AWS Direct Connect

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

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

104. AWS VPN

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

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

105. AWS App Mesh

     • Definition: Service mesh for microservices applications.

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

106. AWS Cloud Map

     • Definition: Service for discovering and connecting application resources.

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

107. AWS Transit Gateway Network Manager

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

     • Use Case: Visualizing and monitoring global network topology.

108. 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.

109. 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.

110. 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.

111. AWS Organizations

     • Definition: Service for managing multiple AWS accounts.

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

112. AWS Well-Architected Tool

     • Definition: Service for reviewing and improving cloud architectures.

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

113. AWS IQ

     • Definition: Service for finding AWS-certified experts.

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

114. 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.

115. AWS Support

     • Definition: Support plans providing technical help and guidance.

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

116. AWS Marketplace

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

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

117. AWS IQ

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

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

118. Amazon Connect

     • Definition: Cloud-based contact center service.

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

119. AWS Ground Station

     • Definition: Service for satellite data downlink and processing.

     • Use Case: Managing satellite communications and data processing.

120. AWS Panorama

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

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

121. Amazon Monitron

     • Definition: Service for equipment monitoring and predictive maintenance.

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

122. Amazon Lookout for Equipment

     • Definition: Machine learning service for equipment monitoring.

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

123. Amazon Lookout for Vision

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

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

124. 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.

125. Amazon Location Service

     • Definition: Service for adding location data to applications.

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

126. AWS Braket

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

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

127. AWS Proton

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

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

128. Amazon FinSpace

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

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

129. Amazon HealthLake

     • Definition: Service for healthcare data storage and analytics.

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

130. 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.

131. Amazon DevOps Guru

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

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

132. AWS Fault Injection Simulator

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

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

133. Amazon Honeycode

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

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

134. Amazon Timestream

     • Definition: Managed time series database service.

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

135. Amazon MemoryDB for Redis

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

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

136. AWS App Runner

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

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

137. 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.

138. Amazon Managed Service for Prometheus

     • Definition: Managed monitoring service compatible with Prometheus.

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

139. 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.

140. AWS DMS (Database Migration Service)

     • Definition: Managed service for migrating databases to AWS.

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

141. 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.

142. Amazon Kendra

     • Definition: Intelligent search service powered by machine learning.

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

143. Amazon RDS Proxy

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

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

144. AWS AppFlow

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

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

145. Amazon Nimble Studio

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

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

146. 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.

147. 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.

148. AWS Compute Optimizer

     • Definition: Service for optimizing compute resources.

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

149. Amazon Aurora

     • Definition: MySQL and PostgreSQL-compatible relational database.

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

150. Amazon DocumentDB

     • Definition: Managed MongoDB-compatible database service.

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

151. Amazon Neptune

     • Definition: Managed graph database service.

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

152. Amazon QLDB (Quantum Ledger Database)

     • Definition: Managed ledger database.

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

153. Amazon AppFlow

     • Definition: Managed integration service.

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

154. AWS Glue Data Catalog

     • Definition: Central metadata repository.

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

155. Amazon Managed Grafana

     • Definition: Fully managed Grafana service.

     • Use Case: Visualizing operational data from various sources.

156. Amazon Managed Service for Prometheus (AMP)

     • Definition: Managed Prometheus-compatible monitoring service.

     • Use Case: Monitoring containerized applications at scale.

157. AWS Network Firewall

     • Definition: Managed firewall service for VPC.

     • Use Case: Deploying network protections for cloud infrastructure.

158. 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.

159. AWS Chatbot

     • Definition: ChatOps service.

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

160. Amazon Elastic MapReduce (EMR)

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

     • Use Case: Analyzing large volumes of data efficiently.

161. 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.

162. AWS RoboMaker Simulation

     • Definition: Scalable simulation service for robotics.

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

163. AWS Cost Explorer

     • Definition: Cost management service.

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

164. Amazon Macie Classic

     • Definition: Data security and privacy service.

     • Use Case: Protecting sensitive data stored in S3.

165. Amazon Forecast

     • Definition: Time-series forecasting service.

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

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166. 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.

167. 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.