Microsoft Workloads on AWS

Category: Management & Governance

Secure API authorization in Amazon API Gateway using Microsoft Entra ID

In this blog post, we will guide you through the process of setting up an AWS Lambda authorizer with Microsoft Entra ID (formerly Azure Active Directory) using OpenID Connect (OIDC). This will allow you to use the authentication from Entra ID as an identity provider for your Amazon API Gateway. Securing your APIs is crucial […]

Accelerate Amazon EC2 Auto Scaling for Microsoft Windows workloads

In this blog post, we will present a sample solution and provide recommendations on how to reduce both the cost and time associated with a Microsoft Windows Server instance joining an Amazon Elastic Compute Cloud (Amazon EC2) Auto Scaling group up to 78%. Customers using Amazon EC2 Auto Scaling often desire faster scale-out times to […]

How to view Azure costs using Amazon QuickSight

Introducing the Cloud Intelligence Dashboard for Azure. Enhance cloud cost monitoring with Amazon QuickSight by integrating Microsoft Azure usage data.

How to automate your Microsoft Windows Server upgrades using AWS Systems Manager

This blog post is the second of a four-part series on how to upgrade Windows Server 2012 and 2012 R2. The focus of this series is to provide options to handle the upcoming end-of-support event in October. Part 1 overviews the end-of-support dilemma, plus how to perform an in-place, manual upgrade along with an insight […]

.NET observability with Amazon CloudWatch and AWS X-Ray: Part 2 — Logging

Building a well-architected .NET application goes beyond just coding and deploying. You must monitor performance, trace transactions, collect logs, gather metrics, and trigger alarms when metrics breach thresholds. To achieve this, you can design and implement telemetry to enable observability capabilities. In the first part of this blog series, I covered the implementation of metrics. […]

.NET Observability with Amazon CloudWatch and AWS X-Ray: Part 3 – Distributed Trace

Building a well-architected .NET application goes beyond just coding and deploying. You must monitor performance, trace transactions, collect logs, gather metrics, and trigger alarms when metrics breach thresholds. To achieve this, you can design and implement telemetry to enable observability capabilities. In the first post of the series, I covered the implementation of metrics, and […]

.NET observability with Amazon CloudWatch and AWS X-Ray: Part 1 — Metrics

Building a well-architected .NET application goes beyond just coding and deploying. You must monitor performance, trace transactions, collect logs, gather metrics, and trigger alarms when metrics breach thresholds. To achieve this, you can design and implement telemetry to enable observability capabilities. This post is the first in a series of three posts in which I […]

Monitor applications and AWS infrastructure using Amazon CloudWatch Application Insights

Amazon CloudWatch Application Insights helps you monitor your applications and AWS infrastructure running those applications by providing easy monitoring setup and a holistic view into the health of your applications. You begin with CloudWatch Application Insights discovering the applications in your AWS Resource Groups or account. Then, it will identify and set up metrics, logs, […]

Setting up monitors for .NET Application and SQL Server using Application Insights

Many Windows-based applications are .NET applications. They use SQL Server in the backend to retrieve and persist data. Often in the journey to the cloud, a rehost decision is made for such a solution using a simple lift-and-shift approach. When such applications are hosted on the Amazon Elastic Compute Cloud (Amazon EC2) Windows platform, native […]

Instrumenting .NET applications with AWS X-Ray using Aspect-oriented Programming

Aspect-oriented programming (AOP) is an approach that enhances modularity by allowing developers to pull out cross-cutting concerns. AOP does so by adding attribute (advice) to the existing code without modifying the code itself. Classic examples of these cross-cutting concerns include caching, logging, monitoring, and, in our case, AWS X-Ray tracing. With AOP, tracing a call […]