Rate Limiting pattern
You can use a rate limiting pattern to help you avoid or minimize throttling errors.
You can use a rate limiting pattern to help you avoid or minimize throttling errors.
Generate prepopulated views over the data in one or more data stores when the data isn’t ideally formatted for required…
Use load testing to tune the performance of an application with multiple backend services. Increase resource units, run parallel queries,…
Follow these instructions to test Gridwich Azure Media Services encoding locally or in Azure by using the Azure Event Grid…
Implement the functional checks of the Health Endpoint Monitoring pattern. Use external tools to check apps at regular intervals through…
This reference architecture shows proven practices for deploying a highly available SharePoint Server 2016 farm on Azure, using MinRole topology…
Learn about the monitoring services you can use on Azure by following a reference architecture that uses a dataflow model…
Understand the importance of logging and use of the ObjectLogger utility, context objects, and logging levels.
Learn how to use the Retry pattern to enable an application to handle anticipated, temporary failures when the app tries…
Learn how to create a four stage end-to-end stream processing pipeline in Azure using Azure Databricks.
Learn how use the Leader Election pattern to coordinate the actions performed by a collection of collaborating task instances in…
Explore the Scheduler Agent Supervisor pattern, which coordinates a set of actions across a distributed set of services and other…
Explore the Competing Consumers pattern. This pattern enables many concurrent consumers to process messages that are received on the same…
Implement a multi-tier architecture on Azure for availability, security, scalability, and manageability.
Use Dynamics 365 Customer Insights to create an enhanced customer dataset and make it available in Azure Data Lake for…
Use the Compensating Transaction pattern to undo work when a step of an eventually consistent operation fails.
Use the Compute Resource Consolidation design pattern to consolidate multiple tasks or operations into a single computational unit.
Find the best available option for your use case when configuring Kubernetes clusters at the edge.
Learn about the Index Table pattern. Create indexes over the fields in data stores that are frequently referenced by queries.
Prioritize requests sent to services so that requests with a higher priority are received and processed more quickly than those…
Architecture for a highly reliable workload with enhanced network controls such as private endpoints.
Learn tips for how to troubleshoot a VPN gateway connection between an on-premises network and Azure.
Transform unstructured image and text data into full text searchable content with Azure Cognitive Search pre-built and custom skills.
Analytics solutions turn volumes of data into useful business intelligence (BI), such as reports and visualizations, and inventive artificial intelligence…
An opinionated accelerator to deploy a secure enterprise-ready API management solution and CI/CD pipeline.
Run high performance computing (HPC) applications in Azure with a low-maintenance solution that includes the head node, compute nodes, and…
Learn how to deploy ADS CFD Code Leo for high performance computing (HPC) on an Azure virtual machine.
Rehost IBM IMS DC and IMS DB on Azure by using Raincode IMSql. Rehost seamlessly without translating or changing your…
Optimize inventory and forecast demand by using Azure Machine Learning, Ray, and Power BI. Enable users to configure and run…
Automate data integration tasks by using Azure Logic Apps. Configure API calls to trigger tasks like storing data in an…
Build and deploy a machine learning model with SQL Server 2016 with R Services to predict whether a bank loan…
Optimize when and how to contact potential customers to improve marketing campaign success rates with machine learning and SQL Server…
See how to use a hub-and-spoke architectural model to deploy Power Automate parent and child flows.
Use the Saga design pattern to ensure data consistency on distributed transactions in microservices architectures.
Implement a custom natural language processing (NLP) solution in Azure. Use Spark NLP for tasks like topic and sentiment detection…
See an example data analytics solution that can democratize data access and provide R&D engineers with near real-time insights into…
The article provides an overview for implementing an AI-based footfall detection solution, which analyzes visitor traffic in retail stores. The…
Learn about proven practices for deploying web applications that use Azure App Service and Azure SQL Database.
Learn how to architect a solution that processes changes to underlying data within a web view, without the need for…
Learn how to use Azure Content Delivery Network and other Azure services to deploy a highly scalable and secure installation…
Explore an Azure architecture for a consumer health portal in a digital health solution.
Lending institutions can use the predictive analytics of SQL Server 2016 with R Services to reduce the number of loans…
Learn how Project Bonsai builds and deploys autonomous systems using machine teaching, deep reinforcement learning, and simulations.
To assess autonomous driving (AD), function engineers need to simulate the behavior of vehicles with AD capabilities.
Use Azure Batch to manage existing Windows or Linux applications, including Autodesk Maya and Blender, to run large-scale 3D video…
Learn about an end-to-end solution for health records management that uses Azure Functions microservices integrated with other services via a…
Learn how to perform image-based modeling on Azure infrastructure-as-a-service (IaaS) by following the architecture and design guidance in an example…
Help secure the connection to a Microsoft Teams channel bot’s web app by using Azure Private Link and Azure Private…
Learn about best practices for monitoring a microservices application that runs on Azure Kubernetes Service, by collecting telemetry from the…
Architecture for a highly reliable workload that is accessed over a public endpoint and doesn’t require private network connectivity to…