There are 2 systems in any company that are critical: the payroll system, and the CI/CD system. Why? You may ask…
If the payroll system doesn’t work, people will leave the company and the company (may) face legal problems; the CI/CD system is the gateway to production. If it is down and there is a bug in production, it will affect your business; loss of revenue, loss of customers, loss of money, just to name a few.

Usually, I find these problems regarding the CI/CD tooling:

• Poor Software Lifecycle Management, with outdated software, containing critical vulnerabilities
• Ancient capabilities in the build agents. In extreme cases, frameworks and tools that are no longer supported by the vendors
• Drifting agents. It means that teams had to do some sorcery to get the software build
• Lack of proper isolation between different builds. It means that a build could access to another build files
• Lead teams to upgrade or install a new framework
• Outdated and strict rules mandated by a operations team. Usually from people that outdated heuristics on how software should be developed

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Today Serverless is a thing. Although everyone can write a blog post about how Serverless run on servers, I share the same visions as Mathias Verraes:

If you want to tweet or blog about how serverless actually runs on servers, let me save you some time: Nobody thinks that serverless doesn't run on servers. Nobody. You're just taking cheap shots at a catchy name.

— Mathias Verraes (@mathiasverraes) May 12, 2018

Given that, I decided to share my developer experience building, testing and deploying AWS Lambda functions in the .NET world. Not a “Hello World” example, but rather a real-world scenario, where some services integrate with each other. Since a Serverless function is a tiny piece of code in a much larger process, how can I test the flow on my development machine?

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