Microsoft Workloads on AWS
Author: Ulili Nhaga
Ulili Nhaga is a Cloud Application Architect at Amazon Web Services in San Diego, California. He helps customers migrate, modernize, architect, and build highly scalable cloud-native applications on AWS. Outside of work, Ulili loves playing soccer, running, cycling, Brazilian BBQ, and enjoying time on the beach.
.NET observability with Amazon CloudWatch Application Signals
This blog post provides a detailed walkthrough on integrating Amazon CloudWatch Application Signals with .NET applications deployed on an Amazon Elastic Kubernetes Service (EKS) cluster. The solution uses CloudWatch Observability Add-On for EKS to enable the .NET applications to emit telemetry signals using OpenTelemetry automatically. Introduction Amazon Web Services (AWS) announced Amazon CloudWatch Application Signals during […]
.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 […]
Build, package, and publish .NET C# Lambda functions with the AWS CDK
CDK offers a high-level abstraction to define AWS resources using modern programming languages. Among its components, it provides aws-s3-assets, which is a high level construct that abstracts packaging AWS Lambda functions. The default behavior of this construct is to zip all the content into a folder and upload it to an Amazon Simple Storage Service (Amazon S3) bucket. That works great for Lambda runtimes like Python or Node.js, which do not require code compilation, but for .NET, Java, or Go, which requires code compilation, you’ll need extra steps to restore external dependencies, compile the code, and publish the binary. This post will explore how to streamline building, packaging, and publishing .NET Lambda functions using AWS CDK.