Category: Windows on AWS

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. This post is the first in a series of three posts in which I […]

In this blog post, we’ll describe how Kloia worked with Digiturk, beIN Media Group Company, a global sports and entertainment media group, to achieve 65% cost savings by partially modernizing Digiturk’s legacy .NET Framework monolithic application to .NET-based microservices architecture. Digiturk is headquartered in Istanbul, Turkey and their services include both streaming and VoD (Video-on-Demand), […]

As more businesses move their enterprise workloads to the cloud, optimizing costs has become a top priority for them. Licensing is one of the most significant costs associated with running your Microsoft workloads on Amazon Web Services (AWS). In this blog post, I will discuss seven specific optimization strategies you can implement to help you […]

In this blog post, we will share results of Microsoft SQL Server performance testing using Amazon FSx for Windows File Server (Amazon FSx) and Amazon Elastic Block Store (Amazon EBS) with block sizes in the range of 16 KB to 64 KB to prove or disprove the common opinion that SQL Server requires 64KB block […]

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 […]

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 […]