# Cicd Cost Optimizer (`fiery_dream/cicd-cost-optimizer`) Actor

Analyze GitHub Actions, GitLab CI, Jenkins, and other CI/CD platforms for cost optimization opportunities. Identify expensive workflows, bottlenecks, and get actionable recommendations. First free CI/CD cost optimization tool.

- **URL**: https://apify.com/fiery\_dream/cicd-cost-optimizer.md
- **Developed by:** [Cody Churchwell](https://apify.com/fiery_dream) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## CI/CD Pipeline Cost Optimizer

Analyze GitHub Actions, GitLab CI, Jenkins, and other CI/CD platforms for cost optimization opportunities. Identify expensive workflows, bottlenecks, and get actionable recommendations. First free CI/CD cost optimization tool.

### Features

- **Cost Analysis**: Calculate actual and projected pipeline costs
- **Bottleneck Detection**: Identify slow steps and queue times
- **Workflow Optimization**: Get specific recommendations for improvements
- **Savings Estimation**: Calculate potential cost reductions
- **Multi-Platform**: Support for GitHub Actions, GitLab CI, Jenkins, CircleCI, Travis CI

### Operations

#### 1. Analyze Pipeline

Comprehensive pipeline analysis:

- Total runs and costs
- Average duration
- Runner costs
- Performance metrics

#### 2. Find Bottlenecks

Identify performance issues:

- Slowest steps
- High queue times
- Sequential dependencies
- Resource constraints

#### 3. Optimize Workflow

Get specific optimizations:

- **Caching**: Reduce install times by 60-80%
- **Parallelization**: Run independent jobs simultaneously
- **Runner Selection**: Use cheaper runners when possible
- **Selective Runs**: Trigger workflows only when needed
- **Matrix Optimization**: Smart test matrix strategies

#### 4. Estimate Savings

Calculate ROI:

- Current vs. projected costs
- Monthly and annual savings
- Savings breakdown by optimization
- Payback period

#### 5. Generate Full Report

Complete analysis including:

- Performance metrics
- Cost breakdown
- Bottleneck analysis
- Optimization recommendations
- Implementation priorities

### Input Parameters

- **operation**: Operation to perform (required)
- **provider**: CI/CD platform (required)
- **repositoryUrl**: Repository URL
- **workflowFile**: Path to workflow file
- **workflowYaml**: Direct YAML input
- **apiToken**: API token for accessing runs
- **timeRange**: Analysis period (7d, 30d, 90d, 365d)
- **runnerType**: Runner type (affects cost)
- **costPerMinute**: Custom cost per minute
- **includeQueueTime**: Include queue time in analysis

### Cost Breakdown

#### GitHub Actions Pricing

- **Ubuntu**: $0.008/minute
- **Windows**: $0.016/minute (2x)
- **macOS**: $0.08/minute (10x)
- **Self-hosted**: Free (hardware costs separate)

### Use Cases

1. **Cost Reduction**: Identify and eliminate unnecessary costs
2. **Performance Optimization**: Speed up slow pipelines
3. **Budget Planning**: Forecast CI/CD costs
4. **Migration Analysis**: Compare costs across platforms
5. **Continuous Optimization**: Regular pipeline health checks

### Example

```json
{
  "operation": "generateReport",
  "provider": "github_actions",
  "repositoryUrl": "https://github.com/facebook/react",
  "workflowFile": ".github/workflows/ci.yml",
  "timeRange": "30d",
  "runnerType": "ubuntu-latest"
}
```

### Output

Returns detailed cost analysis, bottlenecks, optimization recommendations, and estimated savings with implementation guidance.

### Common Optimizations

1. **Add Dependency Caching** (15-20% savings)
   - Cache node\_modules, pip packages, Maven repos
   - Reduce install times by 60-80%

2. **Use Ubuntu Runners** (50-90% savings)
   - Switch from macOS/Windows when possible
   - 10x cheaper for most tasks

3. **Implement Path Filters** (20-30% savings)
   - Only run on relevant file changes
   - Reduce unnecessary builds

4. **Parallelize Jobs** (30-50% faster)
   - Run tests and lint simultaneously
   - Reduce wall-clock time

5. **Optimize Matrix Builds** (30-40% savings)
   - Full matrix on main branch only
   - Reduced matrix for PRs

### Market Gap

First free CI/CD cost optimization tool. Commercial alternatives like Buildkite Analytics cost $99+/month. This actor provides comprehensive analysis at zero cost.

**Target MAU**: 500

# Actor input Schema

## `operation` (type: `string`):

Action to perform

## `provider` (type: `string`):

CI/CD platform

## `repositoryUrl` (type: `string`):

Repository URL (for GitHub Actions, GitLab CI). Leave empty to use demo mode.

## `workflowFile` (type: `string`):

Path to workflow file (e.g., .github/workflows/ci.yml). Leave empty to use demo mode.

## `workflowYaml` (type: `string`):

Paste workflow YAML content directly. Leave empty to use demo mode.

## `apiToken` (type: `string`):

GitHub/GitLab token for accessing workflow runs. Not needed for demo mode.

## `timeRange` (type: `string`):

Time period for cost analysis

## `runnerType` (type: `string`):

GitHub Actions runner type (affects cost)

## `costPerMinute` (type: `number`):

Custom cost per minute for runner (if known)

## `includeQueueTime` (type: `boolean`):

Include time spent waiting in queue

## Actor input object example

```json
{
  "operation": "analyzePipeline",
  "provider": "github_actions",
  "repositoryUrl": "https://github.com/owner/repo",
  "workflowFile": ".github/workflows/ci.yml",
  "timeRange": "30d",
  "runnerType": "ubuntu-latest",
  "includeQueueTime": true
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "operation": "analyzePipeline",
    "provider": "github_actions",
    "timeRange": "30d",
    "runnerType": "ubuntu-latest",
    "includeQueueTime": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("fiery_dream/cicd-cost-optimizer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "operation": "analyzePipeline",
    "provider": "github_actions",
    "timeRange": "30d",
    "runnerType": "ubuntu-latest",
    "includeQueueTime": True,
}

# Run the Actor and wait for it to finish
run = client.actor("fiery_dream/cicd-cost-optimizer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "operation": "analyzePipeline",
  "provider": "github_actions",
  "timeRange": "30d",
  "runnerType": "ubuntu-latest",
  "includeQueueTime": true
}' |
apify call fiery_dream/cicd-cost-optimizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fiery_dream/cicd-cost-optimizer"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jpJyBTIkt5aaV2Mbr/builds/AGcWAgjYOGwEMfXK1/openapi.json