DevOps Monitoring Dashboard with AI

TL;DR: Build a dynamic DevOps monitoring dashboard from a screen recording using Replay, leveraging its AI-powered video-to-code engine to automatically generate functional UI components and integrated data fetching.

The traditional approach to building DevOps monitoring dashboards is time-consuming and often involves manually stitching together various APIs, libraries, and UI components. We’re stuck recreating common patterns instead of focusing on the unique needs of our infrastructure. What if you could simply show an AI how you want your dashboard to function, and it would generate the code for you?

Enter Replay, a video-to-code engine powered by Gemini that reconstructs working UI from screen recordings. Forget static screenshots; Replay understands user behavior and intent, allowing you to create complex, multi-page dashboards with ease. This article will guide you through building a dynamic DevOps monitoring dashboard using Replay's behavior-driven reconstruction.

The Problem: Manual Dashboard Construction#

Building a comprehensive DevOps monitoring dashboard typically involves several tedious steps:

1. •Data Source Integration: Connecting to various monitoring tools (Prometheus, Grafana, CloudWatch, etc.) and configuring API calls.
2. •UI Component Selection: Choosing appropriate charts, tables, and widgets from UI libraries (React, Vue, Angular).
3. •Data Transformation: Transforming raw data into a format suitable for visualization.
4. •Layout and Styling: Arranging components and applying styles to create a visually appealing and informative dashboard.
5. •Interactivity: Implementing features like filtering, drill-down, and real-time updates.

This process can take days or even weeks, especially when dealing with complex infrastructure and diverse data sources.

Replay: Behavior-Driven Dashboard Generation#

Replay simplifies this process by analyzing video recordings of your desired dashboard behavior. By observing how you interact with existing dashboards or mockups, Replay can infer the underlying data sources, UI components, and interactions. This "behavior-driven reconstruction" approach allows you to generate functional code directly from a video demonstration.

Key Advantages of Replay:#

• •Video as Source of Truth: Capture the desired behavior in a video recording, eliminating the need for detailed specifications.
• •AI-Powered Reconstruction: Replay uses Gemini to understand user intent and generate accurate code.
• •Multi-Page Generation: Create complex dashboards with multiple pages and interconnected components.
• •Supabase Integration: Easily integrate with Supabase for data storage and retrieval.
• •Style Injection: Apply custom styles to match your brand and preferences.
• •Product Flow Maps: Visualize user flows and identify potential bottlenecks.

How Replay Differs From Other Tools#

Many tools claim to generate code from images or mockups. However, these tools often lack the ability to understand user behavior and intent. Replay's video-based approach allows it to capture the dynamic aspects of a dashboard, such as filtering, sorting, and drill-down.

💡 Pro Tip: When recording your dashboard demo, be sure to clearly demonstrate all desired interactions and data flows. The more detail you provide, the more accurate the generated code will be.

Building a DevOps Monitoring Dashboard with Replay: A Step-by-Step Guide#

Let's walk through the process of creating a DevOps monitoring dashboard using Replay.

Step 1: Record Your Dashboard Demo#

The first step is to create a video recording of your desired dashboard behavior. You can use an existing dashboard as a reference or create a mockup using a design tool like Figma or Sketch.

Example Scenario:

Imagine you want to create a dashboard that displays the following information:

• •CPU usage of different servers
• •Memory utilization of different servers
• •Network traffic in and out of different servers
• •Error rates of different services
• •Response times of different services

Record a video demonstrating how you would navigate the dashboard, filter data, and drill down into specific metrics.

Step 2: Upload Your Video to Replay#

Once you have recorded your video, upload it to the Replay platform. Replay will analyze the video and generate a code representation of your dashboard.

Step 3: Review and Refine the Generated Code#

After Replay has processed your video, you will be presented with a code preview. Review the generated code and make any necessary adjustments. Replay typically generates React code with TailwindCSS for styling.

📝 Note: Replay's AI is constantly improving, but it may not perfectly capture all aspects of your desired behavior. Be prepared to make some manual adjustments to the generated code.

Step 4: Integrate with Your Data Sources#

Replay attempts to automatically infer the data sources based on your video. However, you may need to manually configure the API calls to your monitoring tools.

Here's an example of how you might fetch CPU usage data from a Prometheus endpoint:

typescript
// Example: Fetching CPU usage data from Prometheus
const fetchCpuUsage = async (server: string) => {
  const query = `rate(process_cpu_seconds_total{instance="${server}"}[5m])`;
  const url = `http://prometheus:9090/api/v1/query?query=${query}`;

  try {
    const response = await fetch(url);
    const data = await response.json();
    return data.data.result[0].value[1]; // Assuming the last value is the current CPU usage
  } catch (error) {
    console.error("Error fetching CPU usage:", error);
    return null;
  }
};

// Example Usage:
fetchCpuUsage("server1").then(usage => console.log(`CPU Usage for server1: ${usage}`));

This code snippet demonstrates how to fetch CPU usage data from a Prometheus endpoint using the

API. You can adapt this code to fetch data from other monitoring tools, such as Grafana or CloudWatch.

Step 5: Customize the UI and Styling#

Replay generates code with basic styling. You can customize the UI and styling to match your brand and preferences. Replay uses TailwindCSS, so you can easily modify the styles using Tailwind's utility classes.

Step 6: Deploy Your Dashboard#

Once you are satisfied with the generated code and styling, you can deploy your dashboard to your preferred hosting platform (e.g., Netlify, Vercel, or AWS Amplify).

Example: Component Generated by Replay#

Replay might generate a component like this based on the video:

typescript
// Example: CPU Usage Chart Component (Generated by Replay)
import React, { useState, useEffect } from 'react';
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend } from 'recharts';

interface CpuUsageData {
  time: string;
  usage: number;
}

const CpuUsageChart = ({ server }: { server: string }) => {
  const [data, setData] = useState<CpuUsageData[]>([]);

  useEffect(() => {
    const fetchData = async () => {
      // Replace with your actual data fetching logic
      const mockData: CpuUsageData[] = [
        { time: '00:00', usage: Math.random() * 100 },
        { time: '00:05', usage: Math.random() * 100 },
        { time: '00:10', usage: Math.random() * 100 },
        { time: '00:15', usage: Math.random() * 100 },
      ];
      setData(mockData);
    };

    fetchData();
    const intervalId = setInterval(fetchData, 30000); // Update every 30 seconds

    return () => clearInterval(intervalId);
  }, [server]);

  return (
    <div className="bg-white shadow rounded p-4">
      <h3 className="text-lg font-semibold mb-2">CPU Usage - {server}</h3>
      <LineChart width={600} height={300} data={data}>
        <CartesianGrid strokeDasharray="3 3" />
        <XAxis dataKey="time" />
        <YAxis />
        <Tooltip />
        <Legend />
        <Line type="monotone" dataKey="usage" stroke="#8884d8" name="CPU Usage (%)" />
      </LineChart>
    </div>
  );
};

export default CpuUsageChart;

This example showcases a CPU usage chart component generated by Replay. It includes the necessary imports, data fetching logic (using mock data for demonstration), and UI elements. Replace the mock data fetching with your actual Prometheus query from the previous step.

⚠️ Warning: Remember to handle errors and implement proper data validation when integrating with your data sources.

Benefits of Using Replay for DevOps Monitoring Dashboards#

• •Faster Development: Generate functional code in minutes instead of days.
• •Reduced Manual Effort: Automate the tedious tasks of UI component selection, data transformation, and layout.
• •Improved Accuracy: Capture complex interactions and data flows with video-based reconstruction.
• •Enhanced Collaboration: Share video demos with your team and iterate on the dashboard design.
• •Increased Productivity: Focus on the unique needs of your infrastructure instead of recreating common patterns.

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited features and usage. Paid plans are available for more advanced features and higher usage limits.

How is Replay different from v0.dev?#

While both tools aim to generate code, Replay focuses on video input and behavior analysis, whereas v0.dev typically uses text prompts and focuses on generating static UI components. Replay is designed to understand the intent behind user interactions, leading to more accurate and functional code generation for dynamic applications like DevOps dashboards. V0.dev also does not have native Supabase integration.

What frameworks does Replay support?#

Replay primarily generates React code with TailwindCSS for styling. Support for other frameworks may be added in the future.

How accurate is the generated code?#

Replay's AI is constantly improving, but the accuracy of the generated code depends on the quality of the video recording and the complexity of the desired behavior. Be prepared to make some manual adjustments to the code.

Can I use Replay to generate dashboards for other use cases?#

Yes, Replay can be used to generate code for a wide range of applications, including e-commerce sites, mobile apps, and internal tools. Any application where user behavior is important can benefit from Replay's video-to-code engine.

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