Category: Technical How-to

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. […]

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 […]

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 […]

Amazon Web Services (AWS) recently added a new feature to AWS Compute Optimizer that detects Microsoft SQL Server workloads running on Amazon Elastic Compute Cloud (Amazon EC2) using machine learning. In this blog post, I will explain how this new feature helps you identify and optimize your SQL Server workloads. Addressing challenges in rightsizing SQL Server […]

In this blog post for .NET developers, we will discuss step-by-step instructions on how to embed Amazon QuickSight analytics in your .NET applications using QuickSight APIs and make them available for Amazon Cognito authenticated users. Amazon QuickSight Embedded analytics is a feature of QuickSight that applies data analytics to the applications used by your end users, analysts, and business leaders. QuickSight Embedded provides […]

Computing at-scale solutions is required in many industries and domains. Cloud computing provides elastic on-demand access to large amounts of computing resources and enables economically efficient and technically flexible solutions naturally suited for computing at scale. Batch processing is a requirement for many scale-out computing solutions. Customers use batch processing as a non-interactive way of […]

Have you been tasked with identifying which Amazon Machine Images (AMI) are in use in your organization and how they are being billed? Have you researched several solutions but find that you can’t get the exact data you need or that you don’t have access to the payer-level billing data? Then this solution is for […]

In part 2 of this blog post series, we show how to set up a project in Amazon CodeCatalyst and collaborate on the coding, building, testing, and deployment of .NET serverless applications in your AWS environments. Consider reviewing the first post, which introduced CodeCatalyst. It explains the compute fleet options that are available for your […]

In this blog post, the first in a series of posts about using .NET with Amazon CodeCatalyst, we will guide you through building and deploying a .NET 6.0 ASP.NET Core web API to Amazon Elastic Container Service (Amazon ECS) using the ASP.NET Core web API project blueprint included with CodeCatalyst and the AWS .NET deployment […]

Amazon Web Services (AWS) recently introduced a new workflow template that improves the experience of importing your on-premises virtual machine (VM) images using the AWS Migration Hub Orchestrator console. Previously, when importing Windows Server or Linux VM images using the VM Import/Export service, customers could only use the AWS Command Line Interface (AWS CLI) or […]