The AWS Systems Manager Parameter Store is an essential tool for developers, designed to securely hold and manage text data, from server configurations and credentials to API keys.
This data can be accessed programmatically or through the AWS Console.
While the Parameter Store has been a staple for over 13 years, editing parameters directly in the AWS console can be challenging.
The Drawbacks of AWS Console
AWS, being an engineering-driven company, often prioritizes functionality over user experience in its interfaces. This approach has led to a less-than-ideal experience when working with the Parameter Store in the AWS console.
This is obvious when trying to load structured text in the edit form.
Notably, the editing interface lacks intuitiveness and context-awareness:
- The Description field doesn’t indicate its character limit until a save attempt fails.
- The Value field does not validate input, leading to potential errors.
- Character limits in fields are misleading, with byte limits not accurately represented as character limits.
These limitations can result in unintended consequences, such as system outages and security lapses.
mierabella solves these issues
mierabella provides an alternative experience to managing AWS Parameter Store that offers a more intuitive, secure, and error-reducing environment.
Enhanced UI/UX:
It displays a running tally of characters, ensuring users are always aware of limits. Additionally, the context-aware interface validates inputs, reducing the likelihood of errors.
Content-Aware Editing
Parameters often contain structured data like JSON, YAML, or XML. Mierabella offers a content-aware editor that not only formats such data but also validates it against relevant schemas before saving. This feature is particularly crucial for maintaining the integrity of the data.
Improved Security Practices
Editing complex content such as JSON in the AWS console often leads users to use external tools or IDEs, risking data exposure. Mierabella’s comprehensive editing environment keeps all data within the secure confines of the AWS ecosystem, mitigating security risks and reducing human error.
