featbit VS Helm-Chart-Boilerplates

Feature flags, also known as feature toggles, have become an essential tool for modern software development. They enable developers to control the release of new features and updates in a flexible and controlled manner. In this blog post, we'll explore what feature flags are, their classical and modern use cases, and how to implement them effectively in front-end, mobile, and server-side applications. We'll also delve into the concept of overlapping design A/B testing and how feature flags play a crucial role in building robust experimentation.

Here's our issue link: [Good First Issues]: Configuring Serilog through appsettings.json file · Issue #520 · featbit/featbit (github.com)

featbit/featbit: A scalable, fast and 100% open-source feature flag tool written in C# .NET (github.com)

You can find the tool at: https://github.com/featbit/featbit

Hi everyone, I wanted to introduce a new open-source feature flag management tool that we recently discovered and implemented in our production environment. You can find the tool at: https://github.com/featbit/featbit We tested several other tools, but what convinced us to choose this particular tool were the following reasons: 1. It offers all the necessary functionalities we require. Additionally, it seems that they continue to open-source additional functions that other tools don't provide, such as Audit Logs, Reusable Segments, Permission Control, and even Single Sign-On (SSO) in the future. 2. I joined their community, and I found the core team to be friendly and responsive (perhaps because they are relatively new). 3. The tool is developed using a programming language that aligns well with our daily work. 4. Although they open-sourced the project only 7 months ago, they have been working on its development for two years. 5. It is licensed under the MIT license. I thought it would be helpful to share this tool here for anyone who may need it or wants to add it to your wishing list. Enjoy!

It's MIT for those interested in such things

I would point you to what I call the "Universal Helm Charts" and some examples of how to use them.

Shameless Plug: Here's one of my dashboards I made for Ingress-Nginx, which is my recommended border router/gateway into all the services. It adds deep robust metrics and configurability, and if you've got years of experience with Nginx also, it allows you rich complex customization via nginx's configuration structure via kubernetes annotations. Besides that I have open-source helm charts which are easy to use, boilerplates showing how to use them, a volume autoscaler to automatically resize your disks as they get full, and a blog where I share various of my experience which is a companion blog to my upcoming book of the same name. Hope this helps! Feel free to ask if you have any further questions.

Here is an example of a repo that uses an sub-chart: https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-apache-with-configmap-template/deployment

Use multi-values files with helm ALWAYS. Allowing an env-specific overlay to tweak your default values files. See: https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-echoserver/deployment/boilerplate-echoserver

Helm charts - https://github.com/DevOps-Nirvana/Universal-Kubernetes-Helm-Charts Example using helm charts as sub charts - https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-echoserver

Helm Chart Boilerplates are examples of usage of the above Universal Helm Charts to help people understand how to use them more, a stop-gap until I add more documentation

Helm Chart Usage Boilerplates (Examples of using these helm chart)

To help you on deploying your service, I've created open source generic/universal Helm Charts to make it easy to do the above. Here are the Universal Helm Charts and here's some boilerplate examples of using them. These built-in have support for HPAs, services, ingresses, etc, making it as easy as autoscaling.enable: true I haven't gotten around to documenting the helm charts yet, but there's lots of comments in the values.yaml file explaining everything.