This reference architecture shows a serverless, event-driven architecture that ingests a stream of data, processes the data, and writes the results to a back-end database.
This reference architecture shows an end-to-end stream processing pipeline. The pipeline ingests data from two sources, correlates records in the two streams, and calculates a rolling average across a time window. The results are stored for further analysis.
Automating workflows and repetitive tasks on the cloud using serverless technologies, can dramatically improve productivity of an organization's DevOps team. A serverless model is best suited for automation scenarios that fit an event driven approach. This reference architecture illustrates two such cloud automation scenarios.
This reference architecture shows an end-to-end stream processing pipeline. This type of pipeline has four stages: ingest, process, store, and analysis and reporting. For this reference architecture, the pipeline ingests data from two sources, performs a join on related records from each stream, enriches the result, and calculates an average in real time. The results are stored for further analysis.
This reference architecture addresses the monitoring services you can use and describes a dataflow model for use with multiple data sources. When it comes to monitoring, many tools and services work with Azure deployments. In this scenario, we choose readily available services precisely because they are easy to consume.
This reference architecture shows a microservices architecture deployed to Azure Service Fabric. It shows a basic cluster configuration that can be the starting point for most deployments.
This reference architecture shows a serverless web application. The application serves static content from Azure Blob Storage, and implements an API using Azure Functions. The API reads data from Cosmos DB and returns the results to the web app.
This reference architecture shows a microservices application deployed to Azure Kubernetes Service (AKS). It describes a basic AKS configuration that can be the starting point for most deployments. This article assumes basic knowledge of Kubernetes. The article focuses mainly on the infrastructure and DevOps considerations of running a microservices architecture on AKS.
In this course, Microsoft Azure IaaS Monitoring and Management - Getting Started, you'll learn the skills you need to keep your proverbial finger on the pulse of your Microsoft Azure infrastructure-as-a-service (IaaS) services. First, you'll discover how to use Azure Monitor to perform basic monitoring. Next, you'll explore how to install and configure Azure management solutions, particularly the Insight and Analytics solution. Finally, you'll get comfortable with using Log Analytics and Log Search to "drill down" into the most important data in your IaaS systems. When you're finished...