JUN 9, 2026
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Cloud Architecture

AWS Architecture Blog

43 articles on EngBrief

The AWS Architecture Blog provides guidance on building well-architected solutions on Amazon Web Services. Posts cover cloud design patterns, reference architectures, cost optimization strategies, and best practices for reliability, security, and performance across AWS services.

Cloud ArchitectureServerlessCost OptimizationReliability
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Latest Articles

AWS5d ago

Align your architecture backlog with Tech Roadmap Prioritization (TRP)

Here is a summary of the blog post in 2-3 concise sentences: The Tech Roadmap Prioritization (TRP) framework helps organizations align their architecture backlog with business priorities by plotting competing initiatives on a shared matrix by cost and complexity against business impact. This visual artifact enables stakeholders to evaluate initiatives relative to each other and determine the order of execution, with priorities driven by position on the matrix that takes into account cost, complexity, impact, and strategic importance. By running a one-hour prioritization session with stakeholders, organizations can develop a shared understanding of their priorities and make informed decisions about which initiatives to pursue first.

CloudArchitecture
1 min
AWS5d ago

Building highly available Oracle databases with Amazon FSx for NetApp ONTAP

Here's a 2-3 sentence summary of the engineering blog post: The solution uses Amazon FSx for NetApp ONTAP (FSxN) shared storage in combination with Auto Scaling groups, automated AMI creation, AWS Lambda orchestration, and AWS Systems Manager Parameter Store to provide a highly available Oracle database architecture with enterprise-grade availability and automated recovery. The solution enables automated instance lifecycle management with the latest AMI configurations, reducing recovery times to 2-5 minutes with the latest Oracle configuration. This is achieved through synchronous Multi-AZ replication, automated AMI management, and configuration consistency across instances.

CloudArchitecture
1 min
AWS6d ago

Automating contract intelligence with Doczy.ai™ on AWS

Doczy.ai, a contract intelligence solution, leverages generative AI on AWS to automate contract interpretation at scale. By using a patented "smart chunking" algorithm and advanced large language models, Doczy.ai achieves 99% accuracy in contract processing, significantly improving upon traditional rules-based systems. This transformation enables healthcare and financial services organizations to unlock value from their data, streamline business processes, and realize substantial cost savings, with clients achieving over $330 million in cumulative direct and indirect savings.

CloudArchitecture
1 min
AWS7d ago

Scaling oncology patient support: How New York Cancer and Blood Specialists transformed customer experience with AWS and Pronetx, now part of Caylent

Here's a 3-sentence summary of the blog post: New York Cancer and Blood Specialists transformed their patient support experience with AWS and Pronetx, now part of Caylent, achieving a 54% improvement in patient enrollment and real-time visibility into call quality. They migrated to Amazon Connect Customer, leveraging a dedicated contact center instance to implement multi-language routing, specialty-based queue prioritization, and HIPAA-compliant call recording. The architecture is divided into three layers: CTR management, core contact center services, and call recording and AI/ML pipeline, with AWS services ensuring encryption, identity access, and monitoring for HIPAA compliance.

CloudArchitecture
1 min
AWS7d ago

Building a scalable user search layer on top of Amazon Cognito

Here is a 3-sentence summary of the blog post: To build a scalable user search layer on top of Amazon Cognito, developers can combine AWS Lambda, Amazon DynamoDB, and Amazon OpenSearch Service to create a comprehensive search layer with features like multiple search types, complex filtering, and high performance. The solution architecture captures user data during authentication and updates it in real-time using Cognito Lambda triggers and AWS CloudTrail, which then index the data in OpenSearch Serverless through DynamoDB Streams. This scalable, event-driven architecture supports powerful use cases like locating users across thousands of accounts, segmenting users by group membership, and auditing user attributes with complex filtering.

CloudArchitecture
1 min
AWS19d ago

Cyber resilience on AWS: A reference approach for recovery from ransomware and destructive events

The article presents a reference approach for recovering from ransomware and destructive events on AWS, focusing on cyber resilience and isolation. A separate recovery environment and backups are used to ensure a trustworthy recovery process. The Recovery Account owns a securely locked AWS Backup vault for deletion-protected backup storage and controls restore authorization through Multi-party approval (MPA).

CloudArchitecture
1 min
AWS20d ago

How ALS GeoAnalytics LITHOLENS ™ revolutionizes core logging through machine learning with Amazon EKS

ALS GeoAnalytics LITHOLENS ™ uses machine learning and deep learning to automate core logging, enhancing data consistency and operational efficiency while reducing costs and greenhouse gas emissions in the mining industry. The platform, built on AWS, uses Amazon EKS for compute-intensive tasks, AWS Lambda for API operations, and Amazon S3 for data storage, to deliver scalable and highly accurate geological intelligence. With a unified API model, users can submit geological analysis jobs, monitor progress, and retrieve results through a single interface, automating complex workflows across departments and data sources. Key architectural decisions for LITHOLENS ™ include the use of Amazon EKS for machine learning workloads, AWS Lambda for API gateway, pre-configured Amazon Machine Images, and automated resource management, resulting in improved job throughput, reduced compute costs, and optimized scalability.

CloudArchitecture
1 min
AWS20d ago

How Synthesia optimizes generative AI video inference on Amazon EC2 G7e instances

Synthesia developed a generative AI video inference optimization technique called Asynchronous Frame Generation Pipeline, which overlaps GPU computation, device-to-host data transfer, and host-side processing. This resulted in increased GPU kernel utilization from 82% to 99.9% on Amazon EC2 G7e instances, leading to an 8.2% decrease in latency and an increase in throughput for video decoding. The technique uses two CUDA streams and double-buffering to decouple compute and data transfer operations.

CloudArchitecture
1 min
AWS26d ago

Streaming CloudWatch metrics to VPC-based OpenTelemetry collectors using Lambda

Here is a 3-sentence summary of the blog post: To achieve sub-minute latency for real-time alerting and avoid vendor lock-in, a customer implemented a push-based architecture using Amazon CloudWatch Metric Streams and OpenTelemetry collectors, which is more cost-effective and scalable than traditional pull-based monitoring methods. To stream CloudWatch metrics to a self-hosted OpenTelemetry collector within a VPC, the team used an AWS Lambda transformation function in an Amazon Data Firehose stream, enabling near real-time data transmission and reducing API throttling. This solution allowed the customer to aggregate and display metrics from AWS, other accounts, and on-prem systems in a single dashboard, achieving their observability goals while reducing costs.

CloudArchitecture
1 min
AWS27d ago

Building hybrid multi-tenant architecture for stateful services on AWS

A large-scale ad-serving infrastructure on AWS overcame operational challenges with a hybrid multi-tenant architecture. The previous cellular architecture provided tenant isolation but created scalability, efficiency, and onboarding issues. A new tier-based architecture was designed with cluster-level isolation, using Amazon Route 53 weighted routing and AWS PrivateLink connectivity to improve operational efficiency. This three-level hierarchy allows for independent scaling to address AWS limits, reducing infrastructure setup steps by 80 percent.

CloudArchitecture
1 min
AWS28d ago

Choosing between single or multiple organizations in AWS Organizations

AWS organizations provide a centralized way to manage multiple accounts, offering benefits like consolidated billing, simplified governance, and resource sharing. Enterprises typically adopt a single organization for most customers, but may choose multiple organizations if they have independent business units, regulatory requirements, or strong segmentation needs. This approach provides stronger security isolation and governance flexibility. A single organization is preferred when teams share a corporate security policy, need centralized compliance enforcement, and want to consolidate billing. Multiple organizations are suitable for conglomerates, regulated businesses, or companies with separate leadership and security requirements. The choice between single or multiple organizations depends on balancing operational efficiency with risk isolation.

CloudArchitecture
1 min
AWSApr 27, 2026

Deloitte optimizes EKS environment provisioning and achieves 89% faster testing environments using Amazon EKS and vCluster

Deloitte optimized its Amazon EKS environment provisioning and reduced testing environment creation times by 89%. The solution uses Amazon EKS and vCluster to create lightweight, fully functional virtual clusters, eliminating the need for multiple dedicated EKS clusters and associated costs. This approach has also improved resource utilization and streamlined management, with over 50 virtual clusters now running on a single shared host cluster.

CloudArchitecture
1 min
AWSApr 23, 2026

Modernizing KYC with AWS serverless solutions and agentic AI for financial services

Here is a 3-sentence summary of the blog post: Financial institutions must modernize their Know Your Customer (KYC) architectures to address rising transaction volumes, increasing regulatory complexity, and customer demands for instant onboarding. A cloud-native KYC solution architecture using agentic AI transforms compliance operations by providing autonomous decision-making, dynamic adaptation, and intelligent automation, overcoming the limitations of traditional rule-based systems. The solution, powered by Amazon Bedrock and AWS serverless services, processes live customer onboarding requests securely in under 5 minutes, verifying identities and assessing risk in real-time while maintaining regulatory compliance.

CloudArchitecture
1 min
AWSApr 22, 2026

PACIFIC enables multi-tenant, sovereign product carbon footprint exchange on the Catena-X data space using AWS

Here's a 2-3 sentence summary of the PACIFIC technology built by BASF and CircularTree for multi-tenant, sovereign product carbon footprint exchange on the Catena-X data space using AWS: PACIFIC, a product powered by AWS, streamlines transparent product carbon footprint reporting across the value chain by automating data exchange, reducing manual effort, and ensuring trustworthy data sharing. To achieve multi-tenant, sovereign PCF exchange, PACIFIC employs Amazon Cognito, AWS IAM, and AWS ECS on AWS Fargate, along with Eclipse Dataspace Components (EDC) connectors to guarantee data security, sovereignty, and interoperability. This unique relationship between BASF, CircularTree, and AWS helps customers accelerate business transformation in a carbon-conscious marketplace.

CloudArchitecture
1 min
AWSApr 21, 2026

Real-time analytics: Oldcastle integrates Infor with Amazon Aurora and Amazon Quick Sight

Oldcastle integrated Amazon Aurora and Amazon Quick Sight with Infor Cloud ERP to maintain real-time operational reporting capabilities. The solution overcomes traditional cloud ERP reporting limitations by leveraging Infor Data Fabric Stream Pipelines for real-time data streaming and Amazon Aurora for high-availability data storage. Real-time data is processed and visualized through Amazon Quick Sight, enabling hundreds of users to access dashboards, AI/ML models, and intelligent search capabilities.

CloudArchitecture
1 min
AWSApr 8, 2026

Build a multi-tenant configuration system with tagged storage patterns

Here is a 3-sentence summary of the blog post: A multi-tenant configuration system was built with a tagged storage pattern using AWS services, addressing the challenges of scaling metadata services and handling tenant metadata changes. The system uses a storage layer with a dynamic strategy that chooses between Amazon DynamoDB and AWS Systems Manager Parameter Store based on configuration key prefixes, achieving high-frequency reads and efficient tenant isolation. An event-driven architecture with Amazon EventBridge, AWS Lambda, and a reactive caching mechanism ensures zero-downtime configuration updates within seconds, addressing traditional problems of polling and service restarts.

CloudArchitecture
1 min
AWSApr 6, 2026

Unlock efficient model deployment: Simplified Inference Operator setup on Amazon SageMaker HyperPod

Amazon SageMaker HyperPod introduces the Inference Operator, a Kubernetes controller that simplifies model deployment and lifecycle management. This operator offers flexible deployment interfaces, advanced autoscaling, and comprehensive observability, eliminating the need for manual Helm charts, complex IAM configuration, and downtime during upgrades. With one-click installation and managed upgrades, users can easily deploy inference workloads on Kubernetes-native infrastructure. The Inference Operator can be installed through the SageMaker UI, EKS APIs, or Terraform, offering a streamlined experience with automatic or customizable installation options. Prerequisites include an existing SageMaker HyperPod cluster with EKS orchestration, IAM permissions, and kubectl configuration. The operator provides features like multi-instance-type deployment and native node affinity for fine-grained control over inference scheduling. Key benefits include optimized default configurations, one-click installation, flexible deployment interfaces, and advanced autoscaling with dynamic resource allocation.

CloudArchitecture
1 min
AWSApr 1, 2026

Automate safety monitoring with computer vision and generative AI

Engineers at AWS developed a serverless, event-driven architecture to automate safety monitoring using computer vision and generative AI. The system scales across thousands of cameras, processing massive image volumes to detect potential workplace hazards. The solution uses machine learning to identify risks, real-time visual data processing, and a dual-detection annotation method to capture object outlines and floor projections relative to safety markings. The system learns to improve detection accuracy continuously, and safety managers use monitoring dashboards to track and respond to hazards. The architecture is designed to maintain proper security and operational segregation, using multiple AWS accounts for data isolation and access controls. The solution also includes a training pipeline and model promotion mechanism to ensure high-quality training data and reliable model performance.

CloudArchitecture
1 min
AWSMar 31, 2026

Streamlining access to powerful disaster recovery capabilities of AWS

Here is a 2-3 sentence summary of the blog post: AWS Architecture offers a comprehensive disaster recovery solution by leveraging native AWS services like AWS Backup, AWS Elastic Disaster Recovery (AWS DRS), and partner solutions like Arpio. By using these tools, organizations can streamline their disaster recovery process, protect data and compute resources, and achieve a recovery time objective (RTO) of minutes to hours. Arpio, a software as a service (SaaS) product, automates the recovery process, restoring AWS workloads to a new site, including data, infrastructure, networking, and configuration.

CloudArchitecture
1 min
AWSMar 30, 2026

How Aigen transformed agricultural robotics for sustainable farming with Amazon SageMaker AI

Aigen transformed agricultural robotics for sustainable farming using Amazon SageMaker AI, enabling autonomous robots to identify and remove weeds without harming crops. The company adopted automated data labeling and human-in-the-loop validation, increasing image labeling throughput by 20x and reducing costs by 22.5x. By transitioning to a cloud-native architecture, Aigen removed resource contention between model training and data labeling, improving throughput and reducing wait times. Aigen developed a hierarchical model architecture comprising foundation models, expert models, student models, and edge models tailored for edge computing. This approach balances model accuracy with edge computing constraints, enabling ultra-low latency, minimal memory usage, and efficient edge deployment. The company's modernized architecture forms a closed loop of continuous model improvement, connecting field data collection to iterative training and rapid redeployment of updated models.

CloudArchitecture
1 min