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AWS Services By Category.

These are the relevant AWS categories.

 

AWS Compute Services

Service Purpose Example Use Case AWS Well-Architected Framework Interactions
Amazon EC2 Scalable virtual servers for compute workloads. Hosting a web application with variable traffic. Cost Optimization: Use reserved or spot instances for savings.
Performance Efficiency: Autoscaling for optimal performance.
Works with Auto Scaling, Elastic Load Balancing (ELB), S3 for storage, RDS for databases, and VPC for network security.
Amazon Lightsail Simplified compute service for small-scale applications. Running a personal blog or a small e-commerce store. Operational Excellence: Easy to set up and manage.
Reliability: Includes built-in backup capabilities.
Interacts with S3 for backup, Route 53 for domain name management, and CloudFront for content delivery.
AWS Lambda Serverless compute for running code in response to events. Executing a function when a new object is uploaded to an S3 bucket. Cost Optimization: Pay only for the compute time used.
Performance Efficiency: Automatic scaling and availability.
Integrates with S3, DynamoDB, API Gateway, EventBridge, and CloudWatch for monitoring.
Amazon ECS Fully managed container orchestration service. Running microservices architecture with Docker containers. Reliability: Supports multi-AZ deployments.
Performance Efficiency: Autoscaling of containers.
Works with Fargate for serverless container execution, VPC for networking, and CloudWatch for monitoring.
Amazon EKS Managed Kubernetes service for containerized applications. Deploying a scalable, highly available Kubernetes cluster for web services. Reliability: Multi-AZ support.
Operational Excellence: Fully managed Kubernetes control plane.
Works with IAM for authentication, CloudWatch for monitoring, and EBS for persistent storage.
AWS Batch Enables batch computing jobs at scale. Processing thousands of video files for transcoding. Performance Efficiency: Dynamically provisions the optimal compute resources.
Cost Optimization: Scales based on job requirements.
Integrates with EC2 Spot Instances, ECS, and S3 for data input/output.
Amazon Elastic Beanstalk Platform as a Service (PaaS) for deploying and managing applications. Deploying a Java-based web application without managing infrastructure. Operational Excellence: Simplified application management.
Performance Efficiency: Built-in load balancing and scaling.
Works with ELB, RDS, S3, and CloudWatch for logging and monitoring.
AWS Fargate Serverless compute engine for containers. Running containers without managing the underlying EC2 instances. Cost Optimization: Pay only for the resources consumed.
Performance Efficiency: Scales automatically to meet demands.
Works with ECS and EKS for container orchestration and IAM for security.
Amazon Outposts Brings AWS services to on-premises environments. Running low-latency applications like video processing on-premises with AWS APIs. Performance Efficiency: Local processing reduces latency.
Reliability: Extends AWS regions to on-premises environments.
Works with S3, EBS, RDS, and EC2 for local services and connectivity to the AWS Cloud.
AWS Wavelength Enables ultra-low latency applications at the edge. Delivering AR/VR applications or autonomous vehicle data processing with minimal latency. Performance Efficiency: Reduces latency by placing compute resources close to end users.
Reliability: Fully integrated with AWS Regions.
Integrates with EC2, ECS, Lambda, and CloudFront for edge computing capabilities.
AWS Elastic GPU Adds GPU acceleration to EC2 instances. Running machine learning inference or high-performance graphics applications. Performance Efficiency: Pay for GPU resources as needed.
Cost Optimization: Use only GPU resources on demand.
Works with EC2 and integrates with SageMaker for ML workloads or high-performance graphics rendering.
AWS Serverless Application Repository (SAR) A repository for serverless application blueprints. Quickly deploying pre-built serverless applications like chatbots or CRMs. Operational Excellence: Simplifies deployment of serverless architectures.
Reliability: Community-reviewed templates ensure quality.
Works with Lambda, API Gateway, DynamoDB, and other serverless AWS services.
VMware Cloud on AWS Runs VMware workloads on AWS infrastructure. Migrating legacy VMware workloads to the cloud while maintaining existing tools. Reliability: Ensures continuity of operations.
Cost Optimization: Optimizes on-demand scaling for VMware resources.
Integrates with S3, EBS, and RDS for hybrid workloads and AWS Direct Connect for low-latency connectivity.

 

 

 

AWS Storage

Service Purpose Example Use Case AWS Well-Architected Framework Interactions
Amazon S3 Scalable object storage for any type of data. Storing and retrieving unstructured data like images, videos, or backups. Reliability: Highly durable (11 nines).
Cost Optimization: Tiered storage options like S3 Glacier.
Works with Athena for querying, Lambda for processing, and CloudFront for content delivery.
Amazon S3 Glacier Low-cost storage for long-term data archiving. Archiving infrequently accessed financial records for compliance. Cost Optimization: Lowest cost for cold storage.
Security: Encrypts archived data automatically.
Integrated with S3 lifecycle policies and AWS Backup for automated archiving.
Amazon EBS Block storage for use with EC2 instances. Storing a database volume for an RDS or self-hosted MySQL server. Performance Efficiency: High throughput for applications.
Cost Optimization: Snapshots reduce redundancy.
Works with EC2 for storage, RDS for backups, and AWS Backup for automated snapshot management.
Amazon EFS Fully managed, shared file storage for Linux workloads. Hosting shared application configuration files or logs across multiple EC2 instances. Reliability: Regional redundancy.
Performance Efficiency: Scales automatically with workload demand.
Works with EC2 for shared storage and AWS Backup for automated snapshots.
Amazon FSx for Windows Fully managed file storage for Windows-based applications. Hosting Windows file shares for corporate applications or active directory. Reliability: Integrates with Active Directory.
Operational Excellence: Fully managed Windows file system.
Works with Active Directory, EC2, and RDS for Windows applications.
Amazon FSx for Lustre High-performance file system optimized for compute-intensive workloads. Running HPC workloads for genomics or financial modeling. Performance Efficiency: Optimized for high-throughput applications.
Reliability: Built-in data protection.
Works with S3 for persistent storage and EC2 for compute-intensive workloads.
AWS Storage Gateway Hybrid cloud storage service for on-premises integration. Backing up on-premises data to S3 using the File Gateway or Tape Gateway. Reliability: Bridges on-premises and cloud.
Operational Excellence: Simplifies hybrid storage management.
Works with S3, Glacier, and Backup for archiving and DR solutions.
AWS Snow Family Physical devices for offline data transfer to AWS. Migrating petabytes of data from on-premises data centers to S3. Reliability: Enables migration in areas with limited connectivity.
Cost Optimization: Avoids high bandwidth costs.
Integrates with S3 and Glacier for final storage.
AWS Backup Centralized backup management for AWS services. Automating backups for RDS, EFS, and EC2 volumes. Reliability: Simplifies backup and recovery.
Operational Excellence: Centralized backup solution.
Works with RDS, EFS, EC2, DynamoDB, and Storage Gateway for backup and recovery.
Amazon S3 Glacier Deep Archive Lowest-cost storage for extremely infrequent access. Storing regulatory compliance data or historical logs for 10+ years. Cost Optimization: Designed for long-term, low-cost storage.
Security: Encrypted and highly durable.
Integrated with S3 lifecycle policies and AWS Backup for automated data archiving.
Amazon Elastic File System (EFS) One Zone Cost-effective file storage for workloads in a single AZ. Hosting application data for non-critical environments like dev/test. Cost Optimization: Reduces costs for less critical workloads.
Reliability: Still fault-tolerant within AZ.
Works with EC2 for shared file systems and AWS Backup for snapshots.
Amazon DataSync Automates data movement between on-premises and AWS. Migrating on-premises databases to EFS or S3. Operational Excellence: Streamlined data migration.
Reliability: Secure, fast transfers to AWS.
Works with EFS, S3, and FSx for hybrid and cloud-native storage solutions.
AWS Outposts Storage Local S3 or EBS storage for AWS Outposts environments. Running low-latency applications that need data stored on-premises but managed by AWS. Performance Efficiency: Reduces latency by keeping data local.
Reliability: Extends AWS storage on-prem.
Works with EC2, RDS, and local storage services for hybrid workloads.

 

 

AWS Networking

Service Purpose Example Use Case AWS Well-Architected Framework Interactions
Amazon VPC Virtual private cloud to create isolated networks for resources. Hosting EC2 instances and databases within a secure network, with control over IP address ranges. Security: Enables control over network security with security groups and NACLs.
Reliability: Supports high availability across multiple AZs.
Integrates with EC2, RDS, Lambda, and Route 53 for network management and security.
AWS Direct Connect Dedicated network connection between on-premises and AWS. Migrating data from an on-premises data center to AWS with a private connection. Security: Provides private and secure network communication.
Cost Optimization: Can lower data transfer costs.
Works with VPC, EC2, and S3 for private, fast, and secure data transfers.
Amazon Route 53 Scalable DNS and domain registration service. Managing domain names for websites hosted on EC2 instances or other AWS services. Operational Excellence: Easy management of DNS settings.
Security: Supports DNSSEC for enhanced security.
Integrates with S3, EC2, ELB, and CloudFront for content delivery and domain management.
AWS Transit Gateway Connects multiple VPCs and on-premises networks through a central hub. Connecting various VPCs from different regions and an on-premises data center to centralize network management. Operational Excellence: Simplifies network management.
Security: Provides control over traffic routing.
Works with VPC, Direct Connect, and VPN for secure inter-VPC and hybrid networking.
AWS VPN Securely connects on-premises networks to AWS. Connecting an on-premises data center to AWS VPC over an encrypted VPN tunnel. Security: Secure communication over public internet.
Reliability: Supports redundant VPN connections.
Works with VPC, Transit Gateway, and Direct Connect for hybrid network architectures.
Elastic Load Balancing (ELB) Distributes incoming traffic across multiple targets (EC2, containers, etc.). Distributing HTTP/HTTPS traffic across multiple EC2 instances running a web application. Performance Efficiency: Automatically adjusts to changes in traffic.
Reliability: Fault-tolerant load distribution.
Integrates with EC2, ECS, and Lambda for application scalability.
AWS Global Accelerator Provides static IP addresses for global applications and routes traffic globally. Improving the performance of globally distributed applications. Performance Efficiency: Optimizes traffic routing.
Security: Traffic is routed securely through the AWS network.
Works with ELB, EC2, and CloudFront for optimizing global traffic routing.
Amazon CloudFront Content delivery network (CDN) to deliver content globally with low latency. Delivering media files or web application assets (HTML, CSS, JS) to users worldwide with low latency. Performance Efficiency: Reduces latency by serving content from edge locations.
Cost Optimization: Caches content to reduce load on origin servers.
Works with S3, EC2, and Route 53 for dynamic content delivery and DNS routing.
AWS WAF Web application firewall to protect applications from malicious traffic. Protecting a web application on an EC2 instance or behind a load balancer from common web exploits. Security: Protects against common web attacks (e.g., SQL injection, XSS).
Operational Excellence: Customizable protection rules.
Works with ELB, CloudFront, and API Gateway for enhanced web security.
AWS Shield Managed DDoS protection for AWS services. Protecting a website hosted on EC2 or CloudFront from Distributed Denial of Service (DDoS) attacks. Security: Provides protection against DDoS attacks.
Reliability: Minimizes service interruptions.
Integrates with CloudFront, ELB, and Route 53 for automatic protection.
Amazon VPC Peering Connects two VPCs for private communication. Connecting a VPC in one region to a VPC in another region for secure and private communication. Security: Provides private communication between VPCs.
Reliability: Supports cross-region connectivity.
Works with EC2, Lambda, and S3 for private communication between different VPCs.
AWS PrivateLink Provides private connectivity between VPCs and services. Connecting to AWS services like S3 or custom services privately, without using the public internet. Security: Traffic stays within the AWS network.
Operational Excellence: Simplifies managing private connectivity.
Works with VPC, ELB, and EC2 for secure service connectivity.
AWS Elastic IP Static IPv4 address designed for dynamic cloud computing. Assigning a static IP to an EC2 instance that may change its public IP address during a restart. Reliability: Provides consistent IP addressing.
Security: Used in conjunction with security groups.
Works with EC2 for high availability and fault tolerance.
Amazon AppMesh Service mesh for monitoring and controlling microservices traffic. Enabling communication between microservices deployed in EC2, ECS, and EKS. Performance Efficiency: Provides insight into traffic between microservices.
Security: Encrypts microservices traffic.
Works with ECS, EKS, Lambda, and EC2 for microservices communication.
AWS Traffic Mirroring Captures and inspects network traffic from EC2 instances. Analyzing inbound and outbound traffic to and from EC2 instances for troubleshooting or compliance. Security: Provides visibility into network traffic.
Operational Excellence: Helps in traffic diagnostics.
Works with EC2, VPC, and CloudWatch for traffic analysis and monitoring.
AWS Network Firewall Stateful, managed firewall service for VPC. Protecting a VPC from unauthorized traffic while controlling outbound access. Security: Helps protect VPC resources.
Operational Excellence: Centralized firewall management.
Works with VPC, CloudWatch, and AWS Config for security policy enforcement and monitoring.

 

 

AWS database services

Service Purpose Example Use Case AWS Well-Architected Framework Interactions
Amazon RDS Managed relational database service for various DB engines (MySQL, PostgreSQL, MariaDB, Oracle, SQL Server). Running a scalable MySQL database to host an e-commerce website’s transactional data. Reliability: Multi-AZ deployments ensure high availability.
Cost Optimization: Automated backups to reduce management overhead.
Integrates with EC2, Lambda, and CloudWatch for automated scaling, monitoring, and backups.
Amazon Aurora High-performance, fully managed relational database compatible with MySQL and PostgreSQL. Running a high-availability, high-performance database for a mobile app backend. Performance Efficiency: Automatically scales to meet traffic demands.
Security: Encryption at rest and in transit.
Integrates with Lambda, RDS, and CloudWatch for monitoring, scaling, and automated backups.
Amazon DynamoDB Fully managed NoSQL database service with single-digit millisecond latency. Running a serverless application with rapid data retrieval requirements, such as a gaming leaderboard. Performance Efficiency: Scales automatically to handle unpredictable workloads.
Security: Fine-grained access control using IAM.
Integrates with Lambda, API Gateway, and SNS for real-time data processing and notifications.
Amazon ElastiCache In-memory data store for caching to improve database performance. Implementing a caching layer to speed up a web application by caching frequently accessed database queries. Performance Efficiency: Reduces database load and speeds up data retrieval.
Cost Optimization: Offloads traffic from primary databases.
Integrates with RDS, DynamoDB, and EC2 to cache data for faster performance.
Amazon Redshift Fully managed data warehouse for analytics and big data processing. Running complex queries on large datasets from an e-commerce platform to generate business insights. Performance Efficiency: Scales with data volume and query complexity.
Security: Data encryption and role-based access control.
Integrates with S3, Athena, and QuickSight for data storage, querying, and visualization.
Amazon DocumentDB Managed document database service, compatible with MongoDB. Storing JSON-style data for a content management system with dynamic, nested data structures. Security: Encryption and access controls for sensitive data.
Reliability: Automated backups and multi-AZ deployment.
Integrates with EC2, Lambda, and Kinesis for data storage, processing, and streaming.
Amazon Neptune Managed graph database service for connected data. Running a recommendation engine that finds relationships between products, customers, and purchases. Performance Efficiency: Optimized for graph-based queries.
Reliability: Multi-AZ support for high availability.
Integrates with Lambda, S3, and AWS Glue for data processing and analytics.
Amazon Keyspaces (for Apache Cassandra) Managed Apache Cassandra-compatible database for large-scale applications. Running a globally distributed NoSQL database for an IoT system that collects data from millions of devices. Scalability: Easily scales to handle high-throughput workloads.
Reliability: Multi-region replication for fault tolerance.
Integrates with Lambda, EC2, and DynamoDB for real-time data storage and processing.
Amazon QLDB Managed ledger database for immutable transaction logs. Implementing a blockchain-like solution to track transactions and provide an auditable, immutable ledger. Security: Immutable and verifiable ledger.
Operational Excellence: Queryable and automated change tracking.
Works with Lambda, EC2, and CloudWatch for data querying and monitoring.
AWS Glue Fully managed ETL (extract, transform, load) service for preparing data. Transforming and loading data from various sources like S3 and RDS into a Redshift data warehouse. Operational Excellence: Automates data transformation and loading.
Performance Efficiency: Optimizes data processing jobs.
Integrates with S3, Redshift, DynamoDB, and RDS for data processing and transformation.
Amazon RDS Proxy Managed database proxy for Amazon RDS and Aurora, improving scalability. Connecting multiple application instances to an RDS database while minimizing connection management overhead. Performance Efficiency: Improves application performance and scalability.
Reliability: Enhances database connection resilience.
Integrates with RDS, Lambda, and Aurora for seamless scaling and connection pooling.
AWS DMS (Database Migration Service) Helps migrate databases to AWS with minimal downtime. Migrating a large, on-premises SQL Server database to Amazon RDS PostgreSQL with minimal application downtime. Operational Excellence: Enables smooth and reliable database migrations.
Cost Optimization: Reduces migration costs with minimal downtime.
Works with RDS, Aurora, and S3 for continuous replication and database migration.
AWS Timestream Managed time-series database service for IoT and operational data. Storing and analyzing time-series data from IoT sensors in a factory. Performance Efficiency: Optimized for high-volume time-series data.
Cost Optimization: Low-cost storage for time-series data.
Integrates with Lambda, IoT Core, and S3 for data processing and storage.
Amazon RDS Aurora Serverless On-demand, autoscaling relational database service for MySQL and PostgreSQL. Running a web app that needs a database with variable workloads and no fixed database capacity requirements. Cost Optimization: Pay only for the database capacity you use.
Performance Efficiency: Scales automatically based on demand.
Works with Lambda, EC2, and CloudWatch for auto-scaling and application integration.
Amazon RDS Multi-AZ Deployments High-availability solution for RDS databases with synchronous replication across Availability Zones. Ensuring a production database is highly available for critical business applications. Reliability: Provides disaster recovery and failover capabilities.
Security: Encryption at rest and in transit.
Integrates with RDS, EC2, and CloudWatch for automated backups, failover, and monitoring.

 

 

AWS Security and Identity services

Service Purpose Example Use Case AWS Well-Architected Framework Interactions
AWS Identity and Access Management (IAM) Manages users, groups, and permissions for AWS resources. Granting developers the right level of access to resources like S3 and EC2 instances. Security: Fine-grained control over who can access resources.
Operational Excellence: Enables strong access management policies.
Integrates with all AWS services to manage user access and permissions.
AWS Organizations Centralized management of multiple AWS accounts. Managing billing and access control across several AWS accounts for a multi-account setup. Cost Optimization: Centralized billing.
Security: Service control policies (SCPs) to restrict access.
Integrates with IAM, AWS SSO, and AWS Shield for cross-account access control.
AWS Single Sign-On (SSO) Provides a unified login experience for multiple AWS accounts and applications. Allowing employees to log in to multiple AWS accounts with one set of credentials. Security: Centralized access control with MFA.
Operational Excellence: Simplifies user management.
Integrates with IAM, AWS Organizations, and external identity providers like Active Directory.
AWS Cognito Provides user authentication, authorization, and user management. Building a user sign-up/sign-in system for a mobile application with features like social login. Security: Secure authentication and access management.
Performance Efficiency: Scales with user demand.
Integrates with API Gateway, Lambda, and DynamoDB for secure user authentication and data storage.
AWS Directory Service Managed Active Directory service in the cloud. Enabling Windows-based applications to authenticate using an AWS-managed Active Directory. Security: Integrates with IAM for centralized access control.
Operational Excellence: Simplifies AD management.
Integrates with EC2, RDS, and WorkSpaces for secure directory-based authentication.
AWS KMS (Key Management Service) Managed service for creating and controlling encryption keys. Encrypting sensitive data stored in S3 or RDS with customer-managed keys. Security: Centralized key management.
Cost Optimization: Pay-per-use for key operations.
Integrates with all AWS services to enable encryption of data at rest and in transit.
AWS Shield Managed Distributed Denial of Service (DDoS) protection service. Protecting a public-facing website hosted on AWS from DDoS attacks. Security: Provides automatic DDoS detection and mitigation.
Reliability: Reduces downtime caused by DDoS attacks.
Integrates with ELB, CloudFront, Route 53 for automatic DDoS protection.
AWS Shield Advanced Enhanced DDoS protection with additional features such as cost protection and attack diagnostics. Ensuring high availability for a critical application exposed to the internet by providing advanced DDoS protection. Security: Offers real-time attack visibility and mitigation.
Reliability: Cost protection for DDoS incidents.
Works with CloudFront, Route 53, and Elastic Load Balancer (ELB) to provide DDoS protection and traffic management.
AWS WAF (Web Application Firewall) Protects applications from common web exploits like SQL injection and XSS. Creating a firewall rule set for an API Gateway that filters out malicious traffic. Security: Protects applications from known vulnerabilities.
Operational Excellence: Customizable rules for application security.
Integrates with API Gateway, CloudFront, and ALB to secure web traffic.
Amazon GuardDuty Threat detection service that continuously monitors for malicious activity. Detecting unusual API calls or compromised EC2 instances in an AWS environment. Security: Automated threat detection and response.
Operational Excellence: Simplifies security management.
Integrates with CloudWatch for alerts, Lambda for automatic remediation, and CloudTrail for log analysis.
AWS Config Tracks AWS resource configurations and changes. Auditing security groups that have changed in an AWS environment to ensure compliance with security policies. Security: Ensures compliance by tracking resource configurations.
Operational Excellence: Allows configuration drift detection.
Works with IAM, CloudTrail, and Lambda for configuration compliance and change tracking.
AWS Macie Sensitive data discovery and classification service, specifically for PII. Identifying and classifying sensitive personal data in S3 buckets for compliance purposes. Security: Automated data classification and discovery.
Operational Excellence: Simplifies data protection management.
Integrates with S3 for discovering sensitive data and CloudWatch for monitoring.
AWS Secrets Manager Manages and rotates sensitive credentials like API keys and passwords. Storing and rotating database credentials for RDS and DynamoDB to avoid hardcoding secrets. Security: Protects sensitive data with automatic rotation.
Cost Optimization: Reduce security risk by centralizing credential management.
Integrates with RDS, Lambda, and EC2 for automatic credential management.
AWS Artifact Provides access to AWS compliance reports and security documents. Reviewing SOC reports and compliance certifications for an audit of your AWS environment. Security: Provides access to important compliance documentation.
Operational Excellence: Ensures transparency and trust.
Works with AWS organizations and AWS CloudTrail for compliance documentation access.
AWS CloudHSM Hardware-based key storage and cryptographic processing. Using CloudHSM for storing cryptographic keys for compliance-heavy applications like PCI DSS. Security: Provides FIPS 140-2 Level 3 certified key management.
Operational Excellence: Key isolation for added security.
Integrates with KMS, IAM, and EC2 for secure key management.
AWS Firewall Manager Centralized management of firewall rules across multiple accounts. Creating a global rule set to block incoming traffic on port 80 across all AWS accounts in an organization. Security: Ensures consistent security policy enforcement across accounts.
Operational Excellence: Simplifies firewall management.
Integrates with WAF, Shield, and Security Hub for global rule management and centralized security.
AWS Security Hub Centralized security and compliance service that aggregates findings from other security services. Consolidating security findings from GuardDuty, Inspector, and Macie into a single view for security teams. Security: Provides a unified view of security findings.
Operational Excellence: Enables automated remediation workflows.
Integrates with GuardDuty, Inspector, Macie, and CloudWatch for centralized monitoring and alerting.
Amazon Inspector Automated security assessment service for vulnerabilities. Running automated security assessments on EC2 instances to identify vulnerabilities before deployment. Security: Helps identify security vulnerabilities.
Operational Excellence: Automates security scanning and patching.
Integrates with EC2, CloudWatch, and IAM for vulnerability management and alerting.
AWS Trusted Advisor Offers real-time guidance to help improve security, performance, and cost efficiency. Identifying unprotected EC2 instances or open security groups in an AWS account. Security: Provides recommendations to improve security posture.
Cost Optimization: Suggests cost-saving opportunities.
Integrates with IAM and EC2 for security and cost optimization insights.

 

 

AWS Machine Learning

Service Purpose Example Use Case AWS Well-Architected Framework Interactions
Amazon SageMaker Fully managed service for building, training, and deploying machine learning models. Training a model on historical sales data to predict future sales and deploying it as an API for real-time predictions. Operational Excellence: Manages machine learning lifecycle.
Performance Efficiency: Optimizes model performance.
Integrates with S3 (data storage), EC2 (compute), IAM (security), and Lambda (for inference) for a full machine learning pipeline.
Amazon Rekognition Image and video analysis service powered by deep learning. Detecting objects in images or identifying faces in a video for security or social media apps. Security: Identifies faces or objects for security purposes.
Performance Efficiency: Scalable image/video processing.
Works with S3 (for image/video storage), Lambda (for triggering processes), and CloudWatch (for monitoring performance).
Amazon Polly Converts text to lifelike speech using deep learning models. Converting text-based information into audio files for use in virtual assistants or audio books. Operational Excellence: Helps deliver high-quality, lifelike speech.
Performance Efficiency: Efficient text-to-speech conversion.
Integrates with Lambda (for real-time audio creation), S3 (for storage), and EC2 (for processing).
Amazon Lex Service for building conversational interfaces (chatbots) using voice and text. Building a chatbot for customer service that can interact with users through voice and text for support. Operational Excellence: Automates conversations to improve customer service.
Security: Integrates with IAM for access control.
Works with Lambda (to run backend logic), CloudWatch (for monitoring), and SNS (to send notifications).
Amazon Translate Neural machine translation service for converting text between languages. Translating content on a website to support multiple languages for global audiences. Performance Efficiency: Fast translation at scale.
Reliability: Provides accurate translations with high uptime.
Integrates with S3 (for document storage), Lambda (for triggering translations), and CloudWatch (for performance monitoring).
Amazon Comprehend Natural Language Processing (NLP) service for text analysis, including sentiment and entity recognition. Analyzing customer reviews to determine sentiment and identify common themes in feedback for product improvements. Security: Identifies sensitive data or potential issues.
Operational Excellence: Helps extract valuable insights from text.
Integrates with S3 (for text storage), Lambda (for data processing), and CloudWatch (for monitoring).
AWS Deep Learning AMIs Pre-configured Amazon Machine Images (AMIs) for deep learning frameworks like TensorFlow and PyTorch. Deploying deep learning models using pre-built environments for image recognition or recommendation engines. Operational Excellence: Reduces time to deploy deep learning models.
Performance Efficiency: Optimizes compute resources for deep learning.
Integrates with EC2 (for compute), S3 (for data), and IAM (for security).
AWS Deep Learning Containers Containers optimized for deep learning frameworks, such as TensorFlow and MXNet, for model training and deployment. Deploying a model in a Docker container to run predictions in a scalable environment. Operational Excellence: Eases deployment of deep learning models.
Performance Efficiency: Optimizes containerized workloads.
Works with ECS, EKS, Lambda (for serverless deployment), and S3 (for data storage).
Amazon Kendra Intelligent search service powered by machine learning for accurate, context-aware search results. Implementing a search engine for a corporate knowledge base that understands user intent and retrieves relevant information. Operational Excellence: Improves search capabilities and data access.
Security: Access control through IAM roles.
Integrates with S3 (for document storage), CloudWatch (for monitoring), and Lambda (for processing search results).
Amazon Textract OCR (Optical Character Recognition) service for extracting text, forms, and tables from scanned documents. Extracting text and tables from PDFs or scanned invoices for automation of document processing in a financial application. Operational Excellence: Automates document processing.
Security: Ensures secure data extraction for compliance.
Works with S3 (for document storage), Lambda (for processing), and CloudWatch (for performance monitoring).
AWS Personalize Service for building personalized recommendation systems using machine learning. Building a recommendation engine for an e-commerce website to suggest products to users based on their browsing history. Performance Efficiency: Delivers personalized experiences at scale.
Operational Excellence: Continuously improves recommendations.
Integrates with S3 (for training data), Lambda (for predictions), and CloudWatch (for performance monitoring).
AWS Forecast Time-series forecasting service using machine learning to predict future outcomes based on historical data. Predicting demand for products in an online store to optimize inventory and avoid stockouts. Operational Excellence: Helps optimize inventory management.
Performance Efficiency: Scalable forecasts for large datasets.
Integrates with S3 (for data storage), Lambda (for forecasting jobs), and CloudWatch (for monitoring).
AWS Macie Machine learning-powered security service for identifying and protecting sensitive data. Automatically detecting PII (Personally Identifiable Information) in S3 buckets to help with GDPR compliance. Security: Ensures sensitive data is identified and protected.
Operational Excellence: Automates compliance management.
Integrates with S3 (for data scanning), CloudWatch (for alerts), and IAM (for access control).
AWS Elastic Inference Service that allows you to attach GPU-powered inference acceleration to EC2 instances for machine learning inference. Accelerating inference for machine learning models (e.g., image recognition) running on EC2 instances with reduced cost. Cost Optimization: Reduces the cost of inference.
Performance Efficiency: Accelerates inference workloads.
Works with EC2 (for inference), SageMaker (for model deployment), and Lambda (for real-time inference).
Amazon SageMaker Studio Integrated development environment (IDE) for machine learning model building and management. Developing and training machine learning models, with tools to visualize data, tune models, and deploy them into production. Operational Excellence: Provides a comprehensive development environment.
Performance Efficiency: Simplifies model development.
Integrates with SageMaker, S3 (for data), CloudWatch (for monitoring), and IAM (for security).
AWS SageMaker Autopilot Automates the machine learning process by automatically preparing data, selecting algorithms, and tuning models. Automatically training a model on historical sales data to predict future sales without manual intervention. Operational Excellence: Reduces the manual work in model creation.
Performance Efficiency: Automated model optimization.
Integrates with S3 (for training data), SageMaker (for model creation), and CloudWatch (for monitoring).

 

 

Monitoring

Service Purpose Example Use Case AWS Well-Architected Framework Interactions
Amazon CloudWatch Monitors and manages operational data, including logs and metrics, across AWS resources. Setting up alarms for high CPU usage on EC2 instances to trigger autoscaling actions. Operational Excellence: Ensures ongoing monitoring and performance.
Security: Logs and monitors system activity.
Integrates with EC2, Lambda, RDS, CloudTrail, and many other services for resource monitoring and alerts.
Amazon CloudWatch Logs Centralized logging service for monitoring, storing, and analyzing log data. Collecting application logs from EC2 instances or Lambda functions for troubleshooting and performance optimization. Operational Excellence: Collects logs to optimize resource management.
Security: Logs suspicious activities for security auditing.
Integrates with EC2, Lambda, S3, CloudTrail, and other services to gather and analyze log data.
Amazon CloudWatch Alarms Creates alarms based on specified metric thresholds to take action (e.g., scale up/down EC2). Triggering an alarm when EC2 CPU usage exceeds a threshold, which then triggers an autoscaling action to handle traffic spikes. Operational Excellence: Automated responses to performance issues.
Reliability: Helps to maintain desired performance levels.
Works with CloudWatch metrics, EC2, Lambda, Auto Scaling, and SNS for setting up automated actions.
Amazon CloudWatch Metrics Collects and tracks performance and operational data for AWS resources and custom metrics. Tracking metrics like memory usage and network activity on EC2 instances for performance tuning. Operational Excellence: Provides metrics for ongoing optimization.
Performance Efficiency: Assists in performance optimization.
Integrates with EC2, RDS, Lambda, and other AWS resources for custom and built-in metric collection.
AWS X-Ray Debugging and analyzing distributed applications by tracing requests across services. Tracing requests in a microservices application to identify performance bottlenecks and failures. Performance Efficiency: Optimizes application performance by identifying inefficiencies.
Operational Excellence: Troubleshoots application issues.
Integrates with Lambda, API Gateway, EC2, and other services for tracing requests and visualizing service dependencies.
AWS CloudTrail Logs and monitors API calls and user activity across AWS services for auditing and compliance. Tracking who accessed an S3 bucket and what changes they made to enforce compliance and security practices. Security: Tracks user activity to ensure access control and compliance.
Operational Excellence: Helps with troubleshooting and monitoring.
Works with all AWS services to log API calls and user activity for security, compliance, and operational auditing.
AWS Trusted Advisor Provides recommendations based on AWS best practices to optimize resources, security, and cost. Identifying underutilized EC2 instances that could be resized to reduce costs. Cost Optimization: Helps to reduce resource wastage.
Security: Provides best practices for improving security.
Integrates with EC2, S3, IAM, and other services for recommendations regarding resource management, security, and cost savings.
Amazon EventBridge Event-driven architecture service to connect applications using events across AWS services. Automating responses to specific events, such as automatically triggering a Lambda function when an EC2 instance starts. Operational Excellence: Streamlines event-driven workflows.
Security: Event-driven alerts can help detect suspicious activity.
Works with Lambda, EC2, S3, and other AWS services to deliver events and automate responses.
Amazon Simple Notification Service (SNS) Push notification service that sends messages or alerts to subscribers. Sending a notification to a team when an EC2 instance reaches critical performance levels. Operational Excellence: Delivers real-time alerts.
Reliability: Notifies stakeholders to respond to incidents.
Integrates with CloudWatch, CloudTrail, and many AWS services for sending notifications based on specific triggers.
Amazon Simple Queue Service (SQS) Managed message queuing service that enables communication between distributed components. Using SQS to decouple components in a microservices application to avoid service bottlenecks. Performance Efficiency: Allows for asynchronous message-based communication.
Reliability: Ensures high availability of queued messages.
Integrates with Lambda, EC2, and other services to manage messages between components and scale workloads.
AWS Elastic Load Balancing (ELB) Distributes incoming traffic across multiple targets like EC2 instances for fault tolerance. Automatically scaling traffic to EC2 instances based on the load, ensuring high availability. Reliability: Ensures application fault tolerance and availability.
Performance Efficiency: Optimizes resource usage.
Works with EC2, Lambda, Auto Scaling, and Route 53 to distribute traffic effectively across resources.
AWS Systems Manager (SSM) Centralized service to manage and automate EC2 instances and other resources. Running patch management or performing automation tasks across EC2 instances. Operational Excellence: Automates operational tasks and patching.
Security: Ensures systems are compliant and up-to-date.
Integrates with EC2, Lambda, and other AWS resources to manage and automate system administration tasks.
AWS Health Provides alerts and remediation guidance for AWS account health events. Receiving notifications of planned AWS outages or service disruptions and automatically triggering a response. Reliability: Improves system resilience by staying informed about AWS health events.
Operational Excellence: Automates remediation actions.
Integrates with CloudWatch and SNS to monitor AWS service health and automate responses based on system events.
AWS CloudFormation Infrastructure as Code (IaC) service to create and manage AWS resources using templates. Automating the creation of EC2 instances, VPCs, and other AWS resources based on predefined templates. Operational Excellence: Enables automated infrastructure management.
Reliability: Ensures consistent resource provisioning.
Works with all AWS services to provision and manage resources based on CloudFormation templates.
Amazon QuickSight Business Intelligence (BI) service for data visualization and analysis. Creating visual dashboards for EC2 performance, CloudWatch metrics, and application data for business insights. Performance Efficiency: Visualizes and analyzes metrics for decision-making.
Operational Excellence: Enhances data-driven insights.
Integrates with CloudWatch, RDS, S3, and Redshift for data analysis and visualization.
AWS Application Cost Profiler Provides insights into the cost of running workloads in AWS. Analyzing the cost of EC2 instances, Lambda functions, and RDS instances to optimize pricing. Cost Optimization: Helps to analyze and reduce costs.
Operational Excellence: Identifies cost-saving opportunities.
Integrates with billing and cost management services, providing cost breakdowns based on resource usage.
Amazon Inspector Automated security vulnerability assessment service for AWS workloads. Running security assessments on EC2 instances to ensure that they comply with security best practices. Security: Helps identify vulnerabilities and mitigate risks.
Operational Excellence: Simplifies vulnerability management.
Integrates with EC2, CloudWatch, and Lambda for running and reporting security assessments.
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