Couple of days ago, we had an outage in one of our production APIs that’s built with ASP.NET Core 2.0 and all we got to see in all our logging was something similar to this which doesn’t really help reveal the root cause: After much debugging hassle for several hours we found that it was […]
In this post I will show how I recently set-up a multi-environment (Testing, Acceptance and Production) CI/CD pipeline to build my application in Azure DevOps but deploy to Azure AppService using Octopus with all the steps scripted using Cake.
Monitoring the health of your application in production is a crucial aspect of software development because at any given point in time, you want to be reasonably certain about how your business critical application is performing and you want to be alerted to any problems that might be brewing up in the application before your customers do.
Many articles talk about the what of this style but in my view, not enough talk about the how. In this post, I am going to try and show one way to actually structure the solution to be more in line with the hexagonal ports and adapters style.
This is the continuation of the previous article where I implemented the Pipes and Filters integration pattern but left out the continuous deployment aspect of it.
The new csproj is lightweight, you don’t have to unload the project to edit the csproj file and you can add package references directly to the csproj file…
…the whole business process can be divided into smaller asynchronous sub-processes with each one feeding i.e. “piping” its output into the input of the subsequent process(es). At each stage some processing is done for e.g. data enriching, filtering etc and this processing generically is termed as a “filter”.
I attended my first ever developer conference (Techorama) in Belgium this past week (May 23-May 24, 2018) and it has to be said, it was much more exciting than I thought it would be…
Strangler pattern is a way of migrating from legacy applications to new ones with both being operational at the same time and the upgrade happening behind the scenes gradually.
The way logging and instrumentation in code has traditionally been done is something like the below, say, I want to profile my application service method called “PeriodCloseReportAsync()” that gets called from my MVC controller action: This can be ok to a certain extent as long as the application is simple enough and you only intend […]