In this blog post, we will explore Gimlet, a powerful deployment tool that simplifies the deploy, preview, and rollback workflows for everyone working in Kubernetes environments. Whether you are a seasoned developer or a newcomer to the world of containerization, Gimlet is designed to make your life easier. Let’s dive into how you can get started with Gimlet!
What is Gimlet?
Gimlet is a deployment tool built on Kubernetes, providing users with a seamless experience when it comes to managing their applications. By focusing on accessibility, Gimlet allows everyone to participate in the deployment processes without extensive knowledge of Kubernetes.
How to Get Started with Gimlet
Here’s a step-by-step guide to help you set up Gimlet:
1. Self-Hosting Gimlet
- Quickstart: Follow this guide to get Gimlet running on your local machine.
- Production Setup: Learn how to deploy Gimlet in a production environment for commercial use.
- Upgrade to 1.0.0: Ensure that you are using the latest version of Gimlet for optimal performance.
2. Understanding the License
Gimlet is available under a source-available license, and it is necessary to purchase a license for self-hosting if you plan to use it for commercial purposes. The pricing details are as follows:
- Commercial License: $300 per year
- Non-profit and individual use is free
Future Developments
Gimlet is constantly evolving, and here are some exciting features that are expected to be rolled out:
Roadmap
- Q3 2024:
- Provision databases
- Edit Settings on the Dashboard
- Q4 2024:
- Integrate External Secrets Operator
- GitLab and GitHub Enterprise support
- Stream build logs
- Q1 2025:
- Respect Kubernetes RBAC
- Flux tree Argo style resource tree
Troubleshooting Tips
Here are some troubleshooting ideas to keep in mind when using Gimlet:
- Ensure that your Kubernetes cluster is properly configured before deploying Gimlet.
- If you encounter issues while upgrading, consult the documentation for detailed instructions.
- Reach out for support on the Gimlet Discord server for community assistance.
- For assistance with license changes or queries, visit the pricing page.
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Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.
Understanding the Code
When you use Gimlet, think of deploying an application like managing a library. Each book (application) has a designated spot (Kubernetes cluster). The librarian (Gimlet) ensures that books are shelved correctly (deployed), can be easily found (previewed), and if there’s a mistake, the librarian can quickly return the book to its previous location (rollback). Through this analogy, the complex actions of deployment become relatable and comprehensible, allowing you to navigate your Kubernetes journey with ease.

