Microsoft Workloads on AWS
Category: Best Practices
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, […]
Read MoreSetting 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 […]
Read MoreAutomating Amazon FSx for Windows File Server configuration for more efficient enforcement of security controls
Modern data security strategies require enforcing multiple security controls – including encryption, end-user access control, monitoring, and auditing – to meet internal security policies and compliance goals. Automating the configuration and enforcement of these controls not only reduces the risk of human error and mismanagement, but also reduces management cost and overhead, especially for complex […]
Read MoreQuickly deploy a CI/CD pipeline for Serverless .NET applications on AWS
This is part 3 in the blog post series that is designed to introduce .NET Quick Starts for AWS. In this post, we will introduce you to the Quick Start that builds a complete CI/CD pipeline using AWS CodePipeline. This CI/CD pipeline is for a serverless .NET application built using AWS Lambda, Amazon API Gateway, […]
Read MorePerformance Benchmark – SQL Server Workload on AWS and Azure
By Fred Wurden, General Manager, AWS Commercial Software Service, AWS Benchmarking AWS Drives Consistent Superior Performance at a Lower Cost for Online Transaction Processing In our continued quest to be customer obsessed and offer our customers the best cloud infrastructure for running Microsoft SQL server workloads, we worked with an independent third party to run […]
Read MoreInstrumenting .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 […]
Read MoreUsing Datadog observability features to facilitate modernizing .NET applications on AWS
By Thomas Sobolik – Technical Content Writer at Datadog Maxim Brown – Team Lead, Technical Content Editor at Datadog Charlie Shen – Sr. Partner Solutions Architect at AWS Modernization of .NET applications is often a meticulous process, and it benefits greatly by having full visibility into the applications’ behavior. Datadog, […]
Read MoreHow LogMeIn migrated a billion records online from Oracle to Amazon Aurora and achieved sub-millisecond response time
This post was written by Elliot Barlas, Principal Engineer at LogMeIn Large-scale database migrations of critical customer records are complex and often avoided. However, these migrations are necessary to advance the architecture of a software system. At LogMeIn, we migrated over a billion such records from on-premises Oracle RAC to Amazon Aurora with MySQL compatibility. […]
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