Microsoft Workloads on AWS

Category: Database

How Arkansas Administrative Office of the Courts saved 40% with .NET modernization

The Arkansas Administrative Office of the Courts (AR-AOC) is an agency within the judicial branch of the Arkansas state government. AR-AOC provides a wide range of administrative, legal, financial, management, program, and information technology services to the state courts on behalf of the Arkansas Supreme Court. In this blog post, we share the story of […]

Datavail: Migrating and modernizing commercial databases to open-source database engines on AWS

Modernizing commercial databases on AWS helps lowers costs by eliminating punitive licensing contracts and helps improve quality, efficiency, and performance. Datavail, an AWS Advanced Consulting Partner with AWS Microsoft Workloads Competency, has successfully migrated over 200 database workloads from on premises to AWS. They also help customers modernize their migrated workloads to further reduce costs […]

Using AWS Migration Hub Orchestrator to simplify and accelerate Microsoft SQL Server migrations to AWS

This year, Amazon Web Services (AWS) introduced AWS Migration Hub Orchestrator, a feature which provides customized migration templates with a predefined set of migration tasks, migration tools, and automation features. Moreover, it allows customers to track their migration progress in one place. From a SQL Server migration perspective, customers often run into challenges, like not […]

Reserve your seat: Microsoft workloads on AWS sessions-including .NET-at re:Invent 2022

Reserve your seat: Microsoft workloads on AWS sessions–including .NET–at re:Invent 2022

In just a few weeks, Amazon Web Services (AWS) will host its 11th annual re:Invent for both in-person and virtual attendees. Join us in Las Vegas from November 28th through December 2nd for a full week of keynotes, leadership sessions, bootcamps, breakout content, and technical deep dives. This year, there is a new Enterprise & […]

Provisioning SQL Server on Amazon EC2 with AWS Lambda, AWS Step Functions, and AWS Systems Manager

Automating the process of deploying SQL Server on Amazon EC2 not only simplifies the deployment, but it also gives customers the ability to spin up additional SQL Server instances for additional capacity or spin down instances when not in use to save money. The provisioning of SQL Server is a multi-step process that is outlined in this blog.

Data Reply: Modernizing Legacy SQL Server Data Warehouses with AWS

For many organizations, data warehouses have traditionally resided in on-premises data centers. These organizations are now looking to free themselves from the limitations of on-premises data warehouses. Data Reply is a Reply group company, a Premier Amazon Web Services (AWS) Partner that offers a broad range of advanced analytics, AI/ML, and data processing services. Data […]

Top 10 recommendations to optimize costs with your SQL Server workloads on AWS

The high cost of Microsoft licenses for SQL Server, especially SQL Server Enterprise edition, is a point of concern for many customers planning their migration of SQL Server workloads to AWS. In this blog post, I will discuss 10 things you can do to save money with your SQL Server workloads on AWS. You have […]

Using AWS Services for distributed caching in ASP.NET Core Web Applications

Software development engineers invest thought and effort into optimizing the performance of the applications they build, often using strategies such as caching frequently used data, moving code closer to the users, optimizing code, optimizing data access and disk I/O, and response compression. In this blog post, we explore one such optimization – caching in ASP.NET […]

Move-end-of-support-SQL-Server-to-the-cloud-that-runs-and-modernizes-it-best-social

Move end-of-support SQL Server to the cloud that runs and modernizes it best

Rather than offering a temporary fix with Extended Security Updates and incentivizing a cloud compromise, AWS is the cloud that truly focuses on delivering unmatched experience to our customers, no matter where they are in the cloud adoption journey, providing three outcome-driven pathways for customers to run and modernize their SQL Server workloads.