serve.zone/spark
3
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases 1 Wiki Activity

fix(core): update

Browse Source
This commit is contained in:
Philipp Kunz
2024-06-13 15:37:19 +02:00
parent c216f167ab
commit da443d0734
5 changed files with 19 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
readme.md
View File

@@ -1,5 +1,5 @@
# @serve.zone/spark
A comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the Servezone infrastructure.
A comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the serve.zone infrastructure. It's mainly designed to be utilized by @serve.zone/cloudly as a cluster node server system manager, maintaining and configuring servers on the base OS level.
## Install
To install `@serve.zone/spark`, run the following command in your terminal:
@@ -22,7 +22,7 @@ import { Spark } from '@serve.zone/spark';
```
### Initializing Spark
Create an instance of the `Spark` class to start using Spark. This instance will serve as the main entry point for interacting with the Spark functionalities.
Create an instance of the `Spark` class to start using Spark. This instance will serve as the main entry point for interacting with Spark functionalities.
```typescript
const sparkInstance = new Spark();
@@ -45,7 +45,7 @@ await sparkInstance.sparkUpdateManager.updateServices();
```
### Managing Configuration and Logging
Spark allows for extensive configuration and logging customization. Use the `SparkLocalConfig` and logging features to tailor Spark's operation to your needs.
Spark allows extensive configuration and logging customization. Use the `SparkLocalConfig` and logging features to tailor Spark's operation to your needs.
```typescript
// Accessing the local configuration
@@ -280,9 +280,6 @@ createDockerSecret();
This example shows how to create a Docker secret using Spark's `SparkUpdateManager` class, ensuring that sensitive information is securely stored and managed.
## Conclusion
`@serve.zone/spark` is a comprehensive toolkit for orchestrating and managing server environments and Docker-based services. By leveraging its CLI and programmatic interfaces, you can automate and streamline server operations, configurations, updates, and task scheduling, ensuring your infrastructure is responsive, updated, and maintained efficiently.
## License and Legal Information
This repository contains open-source code that is licensed under the MIT License. A copy of the MIT License can be found in the [license](license) file within this repository.