semvec/pypi-packages huggingface dataset:
pulumi-kubernetes-coredns 0.2.0a1771522639
Strongly-typed CoreDNS installation
License: Apache-2.0
Requires Python: >=3.9
Keywords: pulumi, kubernetes, coredns, kind/component, category/infrastructure

# Pulumi Kubernetes CoreDNS Component

This repo contains the Pulumi CoreDNS component for Kubernetes. CoreDNS is a fast and flexible
DNS server, providing DNS services to your cluster.

This component wraps [the official CoreDNS Helm Chart](https://github.com/coredns/helm),
and offers a Pulumi-friendly and strongly-typed way to manage CoreDNS installations.

For examples of usage, see [the official documentation](https://coredns.io/),
or refer to [the examples](/examples) in this repo.

## To Use

To use this component, first install the Pulumi Package:

Afterwards, import the library and instantiate it within your Pulumi program:

## Configuration

This component supports all of the configuration options of the [official Helm chart](
https://github.com/coredns/helm#configuration), except that these
are strongly typed so you will get IDE support and static error checking.

The Helm deployment uses reasonable defaults, including the chart name and repo URL, however,
if you need to override them, you may do so using the `helmOptions` parameter. Refer to
[the API docs for the `kubernetes:helm/v3:Release` Pulumi type](
https://www.pulumi.com/docs/reference/pkg/kubernetes/helm/v3/release/#inputs) for a full set of choices.

For complete details, refer to the Pulumi Package details within the Pulumi Registry.
monocle-mcp 0.7.5
Monocle MCP server: prompts and tools for enabling and analyzing Monocle tracing in GenAI apps.
License: Apache-2.0
Requires Python: >=3.8

# Monocle MCP server

**Monocle** is a community-driven OSS framework for tracing GenAI app code governed as a [Linux Foundation AI & Data project](https://lfaidata.foundation/projects/monocle/) that helps developers and platform engineers building or managing GenAI apps monitor these in prod by making it easy to instrument their code to capture traces that are compliant with open-source cloud-native observability ecosystem.

## What is Monocle MCP server
The MCP server provided by monocle includes curated prompts and tools that help you enable Monocle tracing in your application and analyze the traces generated by Monocle.

## Use Monocle MCP

First install monocle-apptrace: pip install monocle-mcp

Open bash and run the following command to run the monocle mcp server with stdio:
monocle_apptrace

If you are using VS Code you can add following entry to your .vscode/mcp.json

```json
"monocle-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": [
         "monocle_apptrace"
      ],
      "env": {}
   }
```
monocle-apptrace 0.7.5
package with monocle genAI tracing
License: Apache-2.0
Requires Python: >=3.8

# Monocle Apptrace

**Monocle** helps developers and platform engineers building or managing GenAI apps monitor these in prod by making it easy to instrument their code to capture traces that are compliant with open-source cloud-native observability ecosystem. 

**Monocle** is a community-driven OSS framework for tracing GenAI app code governed as a [Linux Foundation AI & Data project](https://lfaidata.foundation/projects/monocle/). 

## Use Monocle

- Get the Monocle package
  
```
    pip install monocle_apptrace 
```
- Instrument your app code
     - Import the Monocle package
       ```
          from monocle_apptrace.instrumentor import setup_monocle_telemetry
       ```
     - Setup instrumentation in your ```main()``` function  
       ``` 
          setup_monocle_telemetry(workflow_name="your-app-name")
       ```         
- (Optionally) Modify config to alter where traces are sent

See [Monocle user guide](Monocle_User_Guide.md) for more details.