AWS Architecture Blog

Category: Technical How-to

Reference Architecture Diagram showing Automated Deployment Flow

Field Notes: How Sportradar Accelerated Data Recovery Using AWS Services

This post was co-written by Mithil Prasad, AWS Senior Customer Solutions Manager, Patrick Gryczka, AWS Solutions Architect, Ben Burdsall, CTO at Sportradar and Justin Shreve, Director of Engineering at Sportradar.  Ransomware is a type of malware which encrypts data, effectively locking those affected by it out of their own data and requesting a payment to […]

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a custom solution for Cross-Account, Cross-Region database replication with configurable Recovery Time

Field Notes: How to Set Up Your Cross-Account and Cross-Region Database for Amazon Aurora

This post was co-written by Ashutosh Pateriya, Solution Architect at AWS and Nirmal Tomar, Principal Consultant at Infosys Technologies Ltd.  Various organizations have stringent regulatory compliance obligations or business requirements that require an effective cross-account and cross-region database setup. We recommend to establish a Disaster Recovery (DR) environment in different AWS accounts and Regions for […]

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Initial Orchestration Architecture

Field Notes: Orchestrating and Monitoring Complex, Long-running Workflows Using AWS Step Functions

Situation: IHS Markit’s Wall Street Office (WSO) offers financial reports to hundreds of clients worldwide. When IHS Markit completed the migration of WSO’s SaaS software to AWS, it unlocked the power and agility to deliver new product features monthly, as opposed to a multi-year release cycle. This migration also presented a great opportunity to further […]

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Figure 1 - Architecture for Automating Data Ingestion and Labeling for Autonomous Vehicle Development

Field Notes: Automating Data Ingestion and Labeling for Autonomous Vehicle Development

This post was co-written by Amr Ragab, AWS Sr. Solutions Architect, EC2 Engineering and Anant Nawalgaria, former AWS Professional Services EMEA. One of the most common needs we have heard from customers in Autonomous Vehicle (AV) development, is to launch a hybrid deployment environment at scale. As vehicle fleets are deployed across the globe, they […]

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Figure 1. RStudio/Shiny Open Source Deployment Pipeline on AWS Serverless Infrastructure

Field Notes: Accelerating Data Science with RStudio and Shiny Server on AWS Fargate

This post was updated November 18, 2021.  Data scientists continuously look for ways to accelerate time to value for analytics projects.  RStudio Server is a popular Integrated Development Environment (IDE) for R, which is used to render analytics visualizations for faster decision making. These visualizations are traditionally hosted on legacy unix servers along with Shiny […]

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There are some scenarios where applications running on Microsoft SQL Server need full control of the infrastructure and software. If customers require it, they can deploy their SQL Server to AWS on Amazon EC2. Currently, there are various ways to deploy SQL Server workloads on AWS as shown in the following diagram:

Field Notes: SQL Server Deployment Options on AWS Using Amazon EC2

Many enterprise applications run Microsoft SQL Server as their backend relational database.  There are various options for customers to benefit from deploying their SQL Server on AWS. This blog will help you choose the right architecture for your SQL Server Deployment with high availability options, using Amazon EC2 for mission-critical applications. SQL Server on Amazon […]

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The following diagram shows the components that are used in this solution. We use an AWS CloudFormation template to set up the required ntworking components (for example, VPC, subnets).

Field Notes: Develop Data Pre-processing Scripts Using Amazon SageMaker Studio and an AWS Glue Development Endpoint

This post was co-written with Marcus Rosen, a Principal  – Machine Learning Operations with Rio Tinto, a global mining company.  Data pre-processing is an important step in setting up Machine Learning (ML) projects for success. Many AWS customers use Apache Spark on AWS Glue or Amazon EMR to run data pre-processing scripts while using Amazon SageMaker […]

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Figure 1 – Visualizing read I/O operations on d3.2xlarge instances across three Availability Zones.

Field Notes: Benchmarking Performance of the New M5zn, D3, and R5b Instance Types with Datadog

This post was co-written with Danton Rodriguez, Product Manager at Datadog.  At re:Invent 2020, AWS announced the new Amazon Elastic Compute Cloud (Amazon EC2) M5zn, D3, and R5b instance types. These instances are built on top of the AWS Nitro System, a collection of AWS-designed hardware and software innovations that enable the delivery of private networking, […]

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Figure 2: A diagram visualizing the steps involved in data processing across two layers, the data layer and the knowledge layer and their implementations with AWS services.

Field Notes: Data-Driven Risk Analysis with Amazon Neptune and Amazon Elasticsearch Service

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. This blog post is co-authored with Charles Crouspeyre and Angad Srivastava. Charles is Director at Accenture Applied Intelligence and ASEAN AI SME (Subject Matter Expert) and Angad is Data and Analytics Consultant at AWS and NLP (Natural Language Processing) expert. […]

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