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AWS Cheat Sheets

Home » AWS Cheat Sheets » Page 7

Amazon Data Firehose

2025-08-15T18:25:17+00:00

Amazon Data Firehose Cheat Sheet Easily stream real-time data to AWS destinations without custom applications. Adjusts resources dynamically to match data volume. AWS Lambda supports data format conversion (e.g., Parquet, ORC) and custom transformations. Works seamlessly with Amazon S3, Redshift, OpenSearch, Splunk, and third-party HTTP endpoints. Features Real-Time Data Delivery: Streams data with minimal latency to multiple destinations. Data Buffering: Configurable buffer sizes and intervals to control data flow. Compression & Encryption: Supports GZIP and Snappy compression; integrates with AWS KMS for encryption. Monitoring & Alerts: Amazon CloudWatch metrics and alarms monitor delivery stream health. Dynamic Partitioning: Organizes data into [...]

Amazon Data Firehose2025-08-15T18:25:17+00:00

AWS Clean Rooms

2025-08-15T18:23:30+00:00

AWS Clean Rooms Cheat Sheet AWS Clean Rooms provide a secure, privacy-enhanced collaboration environment for analyzing shared datasets without exposing underlying data. Allows fast collaboration setup with minimal configuration, enabling users to analyze datasets where they reside (AWS or Snowflake). No need to move or extract data for collaborative analysis. Features Fast Setup: Use AWS Management Console or API to create collaboration spaces in minutes. Zero‑ETL Data Collaboration: Analyze data without transferring it from AWS or Snowflake. Privacy Controls: Differential Privacy: Protects against re-identification by obfuscating outputs. Cryptographic Computing: Keeps data encrypted during use and processing (C3R). Role-Based Access: Control [...]

AWS Clean Rooms2025-08-15T18:23:30+00:00

Amazon Cloud Directory

2025-12-28T16:54:01+00:00

Amazon Cloud Directory Cheat Sheet Amazon Cloud Directory is a fully managed, cloud-native directory service that handles complex hierarchical data structures, such as organizational charts, device registries, etc. Supports directories with hundreds of millions of objects and relationships, making it ideal for large organizations. You can design custom schemas for your specific needs and share schemas across multiple applications. No need for manual server management or scaling. AWS handles everything. Use hierarchical structures with flexible facets and attributes to organize data in a way that best fits your application. Service Status: Amazon Cloud Directory will no longer be open to [...]

Amazon Cloud Directory2025-12-28T16:54:01+00:00

AWS Entity Resolution

2025-08-14T10:35:00+00:00

AWS Entity Resolution Cheat Sheet AWS Entity Resolution is a fully managed service that helps organizations match, link, and enhance records across various customer, product, business, or healthcare data sources. It automates data integration by resolving duplicates and merging fragmented records. The service offers rule-based, machine learning-powered, and third-party matching techniques, ensuring high-quality, unified datasets. It also supports data encryption for security and compliance. Improving data quality enables better decision-making, enhanced customer profiles, and streamlined operations. Features Minimized Data Movement: Reads data where it resides (e.g., S3), reducing unnecessary data transfers. Flexible Data Input & Schema Mapping: Supports up to [...]

AWS Entity Resolution2025-08-14T10:35:00+00:00

Amazon DevOps Guru

2025-08-13T17:40:34+00:00

Amazon DevOps Guru Cheat Sheet Amazon DevOps Guru is a fully managed service that improves application performance and availability. Automates the detection and analysis of operational issues. Removes the burden of manual monitoring by identifying anomalies and generating actionable recommendations. Uses machine learning to analyze application metrics, logs, and events. Detects deviations from normal behavior to identify potential problems. Provides both reactive insights for current issues and proactive insights to help prevent future incidents. Notifies users when a potential problem is identified. Provides intelligent guidance to accelerate resolution. Features ML-Driven Insights: Detects anomalies across logs, metrics, events, and traces. Proactive + [...]

Amazon DevOps Guru2025-08-13T17:40:34+00:00

Amazon Fraud Detector

2025-08-07T17:46:33+00:00

Amazon Fraud Detector Cheat Sheet Amazon Fraud Detector is a fully managed service that uses machine learning and Amazon’s expertise to help businesses identify and prevent online fraud. It enables quick and effective creation, deployment, and management of fraud detection models, even for those with limited ML experience.   Features Automated Model Creation: Automatically builds and trains custom fraud detection models from historical data. Real-Time Predictions: Installing fraud risk assessments for individual events or batch processing occurs. Customizable Rules Engine: Offers flexible rule-based decisions that integrate with fraud detection models and external inputs. Continuous Model Improvement: Models evolve as more [...]

Amazon Fraud Detector2025-08-07T17:46:33+00:00

AWS HealthLake

2025-08-04T05:57:11+00:00

AWS HealthLake Cheat Sheet AWS HealthLake is a fully managed, HIPAA-eligible service designed to help healthcare organizations store, transform, and analyze health data at scale. It supports the Fast Healthcare Interoperability Resources (FHIR) R4 specification for seamless data interoperability. It enables healthcare providers to extract insights from health data through powerful analytics and machine learning models. Features FHIR R4 Data Store: Securely stores health data in a standardized FHIR format, making it easy to query and retrieve health information. Data Import: Supports importing data from Amazon S3, including clinical records, lab results, and insurance claims. Natural Language Processing (NLP): Automatically [...]

AWS HealthLake2025-08-04T05:57:11+00:00

AWS HealthScribe

2025-08-04T05:59:22+00:00

AWS HealthScribe Cheat Sheet AWS HealthScribe is a HIPAA-eligible service designed to help healthcare software vendors create clinical applications automatically generating preliminary clinical notes from patient-clinician conversations. Powered by Amazon Bedrock, it simplifies integration by leveraging speech recognition and generative AI, without the need for managing machine learning infrastructure. It is available exclusively in the US East (N. Virginia) region (us-east-1). This means that to utilize AWS HealthScribe, your AWS resources, such as Amazon S3 buckets for storing audio files and output data, must be located within the same region. Considering this regional limitation when planning your infrastructure is essential [...]

AWS HealthScribe2025-08-04T05:59:22+00:00

Amazon CodeGuru Profiler

2025-08-04T05:53:30+00:00

Amazon CodeGuru Profiler Cheat Sheet Amazon CodeGuru Profiler is a developer tool that helps you analyze and improve the performance of applications by continuously profiling and identifying performance bottlenecks, inefficient code, and resource-consuming operations. It provides insights into the runtime behavior of your application to optimize the CPU, memory, and overall application performance. Features Performance Profiling: Continuously profiles your applications and provides performance metrics such as CPU usage, memory utilization, and time spent in different functions. Flame Graphs: Visual representation of how much time is spent in each function and how the functions relate to each other, helping developers spot [...]

Amazon CodeGuru Profiler2025-08-04T05:53:30+00:00

Amazon CodeGuru Reviewer

2025-08-04T05:54:19+00:00

Amazon CodeGuru Reviewer Cheat Sheet Amazon CodeGuru Reviewer utilizes program analysis and machine learning to detect potential Java and Python code defects that are typically hard for developers to identify. Available in multiple regions, it offers proactive defect detection, actionable recommendations for resolving issues, and following best practices. By incorporating CodeGuru Reviewer into your code review workflow, you can improve the quality and maintainability of your code from the start. Features Automated Code Reviews: Automatically reviews code in pull requests to detect potential issues. Security Best Practices: Provides security recommendations, including finding vulnerabilities like SQL injection, cross-site scripting, and unhandled [...]

Amazon CodeGuru Reviewer2025-08-04T05:54:19+00:00

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