Skip to main content

A happy story of migration from on-premises to Microsoft Azure

When we say cloud, our mind is flying to scalability. Yes, this is the beautiful of cloud. In the last period of time I had the opportunity to work on a project that needs to scale from 2-4 instances to 200-300 instances in a few hours. The peek is pretty short (2-4 hours)
In this kind of moment you realize how hard would your life be be if you would not have load balancer and traffic manager. On on-premises solutions I see almost every month a possible issues reported by customers or external team that load balancer is not behave as expected. Testing a load balancer is pretty hard when you need to simulate 20k-50k clients with different IPs and configurations – and also very expensive.
Next, you realize that using only one data center is not a good idea, you want to be protected if something happens with that data center. Not only this, but because of the client business, we could easily group the load in 4 geographical regions (America, Europe, Asia and Australia). Because in this moment we don’t have a data center in Australia, we decided to go only in 3 data centers and in future will see :-).
With Traffic Manager it will be extremely easy for us to redirect client request to exactly the data center that has their data, without having to redirect them to another nodes(in 80% of cases this should be applicable for us).
What next? Additional to this, we need a mechanism to cache clients request until our instances are ready. For this purpose, Azure Service Bus is ready to help us. Once the command is send to our system, clients subscribe to Service Bus and wait a notification from backend. Also we are using Azure Service Bus to distribute the work to multiple instances.

And yes, we were able to migrate a system from on-premises to cloud with only a few modification. The legacy part of the system was not modified and works great. This is the beautiful of Microsoft Azure.

Comments

Popular posts from this blog

How to audit an Azure Cosmos DB

In this post, we will talk about how we can audit an Azure Cosmos DB database. Before jumping into the problem let us define the business requirement: As an Administrator I want to be able to audit all changes that were done to specific collection inside my Azure Cosmos DB. The requirement is simple, but can be a little tricky to implement fully. First of all when you are using Azure Cosmos DB or any other storage solution there are 99% odds that you’ll have more than one system that writes data to it. This means that you have or not have control on the systems that are doing any create/update/delete operations. Solution 1: Diagnostic Logs Cosmos DB allows us activate diagnostics logs and stream the output a storage account for achieving to other systems like Event Hub or Log Analytics. This would allow us to have information related to who, when, what, response code and how the access operation to our Cosmos DB was done. Beside this there is a field that specifies what was th...

Can User Technical Profile Influence AI Architecture Decisions?

In the last few days, I ran a small experiment on Devin/Windsurf/Cascade, BMAD, and LLM-based architecture decisions. The initial concern was simple: if an AI coding assistant knows something about the user, for example, that the user is a Java developer or a .NET developer, can this information influence the architecture and technology stack that the AI will propose? This question is important because many companies are starting to use AI tools not only for coding but also for product discovery, architecture, documentation, and technical decision-making. If the AI is influenced by the developer's personal profile, the result may not be fully neutral. It may look like a business or architecture decision, but in reality, it may be partially shaped by the context of the person using the tool. The test was done using BMAD with Devin/Windsurf/Cascade. The scenario was a unified field service operations platform. The task was to let BMAD refine the product, define the architecture and s...

ADO.NET provider with invariant name 'System.Data.SqlClient' could not be loaded

Today blog post will be started with the following error when running DB tests on the CI machine: threw exception: System.InvalidOperationException: The Entity Framework provider type 'System.Data.Entity.SqlServer.SqlProviderServices, EntityFramework.SqlServer' registered in the application config file for the ADO.NET provider with invariant name 'System.Data.SqlClient' could not be loaded. Make sure that the assembly-qualified name is used and that the assembly is available to the running application. See http://go.microsoft.com/fwlink/?LinkId=260882 for more information. at System.Data.Entity.Infrastructure.DependencyResolution.ProviderServicesFactory.GetInstance(String providerTypeName, String providerInvariantName) This error happened only on the Continuous Integration machine. On the devs machines, everything has fine. The classic problem – on my machine it’s working. The CI has the following configuration: TeamCity .NET 4.51 EF 6.0.2 VS2013 It see...