I think every developer has spent countless time troubleshooting what goes wrong with their production system. “It was working fine yesterday!”. With Azure App Services, you can now identify changes that happen in your web app. Checkout the Azure Friday video!
Most people would do continuous deployment for the sake of doing it. It’s still good thing to do in my opinion. But why do we actually need continuous deployment have real business case for it. Dan Quine explains in his post. It’s good for developer and business.
This one is very educational read for those who care about C# 8 feature. However, considered yourself warned, it’s probably going to be a lil bit confusing. The feature is really a compiler-feature rather than language-feature. Plus, it’s not to be confused with the existing nullable value types.
I thought Saurabh did a really good job in this post unpacking parallel programmings with examples that he did in performance tests.
A brief explanation on parallel processing (TPL, or Task Parallel Library) in .Net. There are `Tasks` and `Parallel` classes. TPL is a big topic and the post only covers the gist of it, it’s not meant to be a comprehensive discussion on TPL.
If you, like me, didn’t attend .NET Conf 2019, don’t worry. This YouTube playlist has all the session recording available on-demand.
Azure Kubernetes Service is really cool to deploy your container to. However, what most people don’t know is, you can deploy the same container to Service Fabric. The benefit? You don’t have VMs to manage in Service Fabric.
If you’re using Azure Cosmos DB, you probably understand how partitioning strategy could directly affect the query performance of your application. This learning module explains in great details how it actually works.
The Q3 2019 Forrester Wave’s Cloud-native continuous integrations tools report. Hint: Google, Microsoft, AWS CircleCI and GitLab are among the leaders.
If you’re thinking about building a single page application with ASP.NET Core, definitely check this post. There are 3 different options you can go about building SPA using ASP.NET Core and they are discussed in details.
I don’t know how I feel about this post. If you’re going to read it, read it with a grain of salt. I like it because Muhammed presents a different approach to `if` statement, sounds to me like an implementation of strategy pattern. Read at your own risk. 🙂
The rise of microservices requires more manageable APIs, including testing them. Mockadillo is a new tool built for this exact purpose.
I think this is more like a reference-type article. The topic is so broad and rather complex, but only short read. However, it does have links to more details implementation of GraphQL and anything you need to build a serverless GraphQL microservices API.
If you use RMarkdown, this tricks teach you how to manage a very long RMarkdown document. If you haven’t use (or heard) about RMarkdown and you’re doing data visualization and big data stuff, definitely check it out.
The journey of centralized configuration is never ending. Azure App Configuration is another attempt at this, seems very promising however. Today’s configuration is not just in an application, it’s everywhere, the VM, the CI/CD pipeline, etc, and it spans across different cloud provider. Azure App Configuration is built to handle this.
List of free eBooks on architecting .NET application. Did I say it’s free?
Obviously, this is generalized and YMMV (your mileage may vary) -kinda experience. But at the least, if you don’t know where to start, this is the right place to look into.
Exactly as the title suggest, it’s using Azure Reservations. You reserve the resources for 1 or 3 year terms. The saving could go up to > 50% in some instances. Only available for few resources however, including Virtual Machine, SQL Data Warehouse, Cosmos DB, SQL Database, Azure Databricks.
This is not to be confused with Azure SQL Database’s Elastic Pool. Instance pools is a little bit different, in the sense that its main purpose is to migrate (lift-and-shift or otherwise) multiple smaller databases. Instance Pools make it easier to handle this scenario by simplify many things like IP address allocation and deployment time.
Not all the tests are created equally. Andy Li gives her perspective what to test in your Continuous Integration pipelines before the deployment.
Management of APIs can easily go out of control if it’s not done right. In this video, Miao Jiang talks about CI/CD part of API Management. The result is a clean, manageable CI/CD pipeline that can be deployed in any environment.
You can learn by doing, or you can learn from someone else’s mistakes. This is the case of the later. Certainly useful to avoid the same mistakes.
This one is pretty heavy read. But if you’re into Martin Fowler’s stuff, you know they are ‘the standard’. This one covers what it takes to apply continuous delivery in machine learning model. The CD for machine learning have similarities to software’s CD, but there are few keys differences as well.
If you want to start learning Machine Learning but don’t know where to start, ML.NET is a good starter. With familiarity of C# and .NET, you could pick up ML.NET fairly quickly. This goes into details on how to get started with ML.NET, even covers Auto-ML!
Everyone thinks AI is cool, futuristic and can solve _almost_ all the problems. But not many think about the consequences, side effects and what it would take to build it right. In another word, a responsible AI. This mini-course go over what we need to consider in building AI.
I like how Sumit gives intro to parallel computing, specifically multi processes vs threading, before he went dive into how it’s applicable in Python for modeling. Worth read even if you skip the Python part.