Meet Advice: Your New Chaos Engineering Sidekick
Introducing our latest creation at Steadybit: Advice. Advice is a reliable tool designed to help you manage software reliability challenges effectively. It originated from our ‘Weakspots’ feature and serves as a supportive companion throughout your Chaos Engineering journey. Here are its key attributes:
- Open-source? Check.
- Customizable? Absolutely.
- Easy entrance to your first Chaos Engineering experiments? You bet!
Advice in Action
Check out the Steadybit Explorer, where you’ll find Advice in action. This platform serves as your command center, allowing you to effortlessly access all the personalized Advice tailored specifically for your system. Additionally, you can filter through various types of Advice and identify the most suitable experiment to further advance your Chaos Engineering journey. It’s akin to having a personal assistant who possesses an extensive knowledge of chaos engineering.
The Three Stages of Advice
Let’s explore the different stages involved in the lifecycle of Advice:
- Action Required: At this stage, Advice alerts you about potential improvements that can be made. For example, it may suggest optimizing your Kubernetes setup by scheduling redundancy across multiple nodes or availability zones to ensure true reliability.
- Validation Needed: After implementing changes based on the previous advice, it’s crucial to verify whether these modifications are functioning as intended. This can be done by creating and executing one of the recommended experiments.
- Implemented: Congratulations! Your systems are now up-to-date and more robust than ever before. However, it’s important to remain vigilant as dependable systems require continuous monitoring, which is where Advice comes into play.
Join the Open-Source Community
Advice is not just limited to us; it belongs to everyone. With its open-source nature, you have the ability to enhance it further by adding your unique touch or making adjustments according to specific company requirements. This opens up opportunities for identifying reliability patterns that are unique to your organization or rectifying any discrepancies between existing advice and your contextual needs.
To gain insights into supported advice options, please refer to our Reliability Hub and for detailed information on how you can contribute, visit our AdviceKit.