<h2>What is Koyeb</h2><p>Koyeb is certified for use with Wasabi. The Koyeb serverless cloud platform allows developers and businesses to run production-grade data-processing apps in minutes.<p><p>With Koyeb, you can build your event-driven processing workflows combining Docker containers, custom functions, and ready-to-use processing integration. Trigger your functions when a file is modified in your Wasabi bucket thanks to the Koyeb S3 API gateway.<p><p>Koyeb is ideal to process any kind of data, from media files (photos, videos, audio, PDFs) to logs, CSV, and much more.<p><h2>Why Use Wasabi with Koyeb</h2><p>Combining your Wasabi buckets with the Koyeb serverless engine is the perfect way to benefit from your data by analyzing, optimizing, or transforming them without any complex configurations or infrastructure management.<p><p>With Koyeb, you deploy event-driven functions and define which S3 events trigger your functions. For instance, you can easily deploy a function performing <p><p>Spend less time operating complex infrastructures, and spend more time easily building powerful features on top of your data.<p><h2>How to Connect Your Wasabi Bucket to Koyeb</h2><p>To connect your Wasabi bucket to Koyeb, you will need to do the two following steps:<p><ul><li>undefined</li><li>undefined</li></ul><h3>Generate Access Keys in Wasabi</h3><p>To get started, you need to generate a Wasabi Access key pair to connect your Wasabi bucket to Koyeb. Connecting your Wasabi bucket to Koyeb is a necessary step to access the Koyeb processing engine.<p><p>To generate a new Wasabi access key pair, login to your <p><p>Once in your account, click on the key icon in the left-side menu. Then click <p><p>undefined<p><p>A modal appears.<p><ul><li>Select </li><li>Then click </li></ul><p>undefined<p><p>A new screen in the modal appears.<p><p>You can see your <p><p>Click <p><p>Now that you have generated your Wasabi Secret Keys, make sure to save them in a safe place. You can only see these values once, and they are critical to the security of your data.<p><h3>Connect Wasabi to Koyeb with your Wasabi Access Keys</h3><p>Now that you have generated a Wasabi Access Key pair, you can connect your Wasabi bucket to Koyeb. By connecting your Wasabi bucket to Koyeb, Koyeb can receive the events that occur in your Wasabi bucket and trigger your functions when a new image is uploaded.<p><ul><li>From the Koyeb Control panel, click the </li><li>You will land on the Store creation page. In the list of cloud service providers, select </li></ul><p>undefined<p><ul><li>Fill in the form that appears below with the information about the Wasabi bucket you want to connect:</li></ul><p>undefined<p><ul><li>Fill the </li><li>Enter the region your </li><li>Under Access_key, click the </li><li>For Access-key, select the </li><li>Under Secret_key, click the </li><li>For Secret_key, select the </li><li>Name the Koyeb Store, for example </li><li>Click the </li></ul><p>You've now connected your Wasabi bucket to Koyeb! You can upload data here to trigger data-processing functions.<p><p>undefined<p><h2>Process your Wasabi data with Koyeb catalog apps</h2><p>Now that your Wasabi bucket is connected to Koyeb, you can deploy your first processing function!<p><p>As mentioned previously, Koyeb allows you to deploy processing functions written in Node.js or Python, Docker containers, or ready-to-use functions from the <p><p>Below, we will explain how to deploy functions to process your Wasabi data.<p><h3>Using a Koyeb catalog app</h3><p>In this example, we will deploy the <p><p>To deploy this function, in the Koyeb control panel:<p><ul><li>Click the </li><li>Select </li><li>Choose </li><li>Give your Stack a name.</li><li>Click </li></ul><p>You Stack is now created. It's time to deploy the first revision. Revisions are used to keep a history of your changes and allow you to return to a previous version at any time.<p><p>In the dropdown, select <p><p>Once ready, click the <p><p>Your Stack is provisioning your functions and in a few seconds, all images uploaded to your Koyeb Store via the interface or using the Koyeb S3-gateway will be resized automatically.<p><p>To confirm everything is working fine, on the Koyeb control panel:<p><ul><li>Click </li><li>Select the </li><li>Click the </li><li>A folder </li></ul><p>All the data is stored on the Wasabi cloud!<p><h3>Go deeper</h3><p>To learn more about how to deploy Docker containers or custom code, how to use the Koyeb S3 gateway or learn more about Koyeb <p><p>If you need any assistance or have additional questions, do not hesitate to reach us out via our in-app support or <p>

This guide demonstrates how to connect a Wasabi bucket to Koyeb and deploy event-driven functions to process your data.

Use Wasabi Hot Storage with the Koyeb Serverless Platform

<h2>Introduction</h2><p>This guide demonstrates how to use Rclone on the Koyeb serverless platform and perform diverse operations such as data synchronization, copying, and moving data between two cloud storage providers. Rclone is a command-line program offering a large set of features to manage your data stored across different cloud storage providers. You can imagine Rclone as the Unix rsync command for the cloud.<p><p>As Koyeb provides a unified interface to manage your data and preview the result of each operation we will do in this guide from a single interface, we will create two Koyeb Stores connected to each of the providers used in this guide: AWS S3 and Scaleway Object Storage.
However, you can use Rclone with whichever cloud service providers you want! Find the full list of providers that Rclone supports <p><p>Below is a non-exhaustive list of operations you can perform using Rclone:<p><ul><li>Back up data stored with your cloud storage providers,</li><li>Synchronize files and directories from different cloud storage providers,</li><li>Copy files and directories from a cloud storage provider to another,</li><li>Move files and directories from one cloud storage provider to the next,</li><li>Compare the content of different repositories and buckets across different cloud storage providers,</li><li>And much more all between any cloud storage providers.</li></ul><p>Using Rclone with Koyeb lets you manage and move your data across different cloud storage providers through a reliable and easy-to-use serverless platform, Koyeb. Since Koyeb allows long-running functions, you can synchronize your data or copy data from a cloud storage provider to another without having to care about the execution time the operation took to perform. Combining Rclone with Koyeb allows you to run Rclone in batch mode or at a regular interval using Koyeb's Cron functions.
This tutorial will cover how to use Rclone to:<p><ul><li>undefined</li><li>undefined</li><li>undefined</li></ul><h2>Requirements</h2><h2>Steps</h2><p>To use Rclone with Koyeb to manage and move your data across different cloud storage providers, follow these steps:<p><ul><li>undefined</li><li>undefined</li><li>undefined</li></ul><h2>Create a Stack and deploy a new revision to sync your data</h2><p>Stacks are processing environments you deploy functions and Docker containers. There are different ways to invoke your Stack functions using:<p><ul><li>Cron job: To trigger a function on a time-based period</li><li>Store events: To trigger a function when an event occurs on your Stores</li><li>Manual invocation: To invoke your function manually</li></ul><p>All Stacks you create benefit from native versioning to track changes and rollback to previous versions easily.<p><p>To create a new Stack:<p><ul><li>In the Koyeb Console, click the </li><li>You land on the Stack creation page, Select </li></ul><p>On your Stack page, you are asked to deploy your first Stack revision containing your Stack configuration. A Stack configuration is defined by a YAML file. Each time you deploy a new Stack revision, Koyeb reads your YAML instructions to build and deploy your functions.<p><p>In this guide, we use the Rclone Docker image to showcase how to sync, copy, or check data across two different cloud storage providers.<p><p>Below is the Stack configuration YAML used to perform a sync operation.<p><p>This operation syncs the content of <p><p>Click <p><p>Once your Stack has been built, click <p><p>undefined<p><p>You can test if your Stack has successfully synchronized your data by:<p><ul><li>Manually comparing if the Koyeb Store connected to your Scaleway matches the content of your Koyeb Store connected to AWS S3 without leaving the Koyeb control panel</li><li>Using </li></ul><h2>Copy files from source to destination</h2><p>You can use Rclone to copy files from one directory to another, only adding files to the destination directory and skipping files that are already in both directories. Copy is different than the sync operation because copy will not remove files from the destination directory, it will only add non-duplicate files.<p><p>In your Stack, click <p><p>Enter the following Stack configuration:<p><p>Click <p><p>Once your Stack has been built, click <p><p>undefined<p><p>To see if your files were successfully copied from your source bucket to your destination bucket, you can:<p><ul><li>Manually comparing if the Koyeb Store connected to your Scaleway match the content of your Koyeb Store connected to AWS S3 without leaving the Koyeb control panel</li><li>Using </li></ul><h2>Check Directories for Missing or Extra Files</h2><p>You can use Rclone to compare one directory to another, checking if there are missing or extra files between the source and destination directories.<p><p>In your Stack, click <p><p>Enter the following Stack configuration:<p><p>Click <p><p>Once your Stack has been built, click <p><p>undefined<p><p>Click <p><p>undefined<p><p>The example above shows 2 files in the destination directory are missing compared to the source directory.<p><h2>Conclusion</h2><p>In this guide, you learned how to manage and move your data across different cloud storage providers with Rclone using Koyeb's serverless platform. Running Rclone on Koyeb's serverless platform ensures you only use the computing time your Rclone command requires, nothing more.<p><p>This tutorial covered how to use Rclone to synchronize, copy, move, and check your data across your different cloud service providers. You can check out all other Rclone supported operations <p><p>Want to follow this tutorial and use different third-party cloud service providers than AWS and Scaleway? <p><p>If you need any assistance or have additional questions, do not hesitate to reach out to us via Koyeb's in-app support or over <p>

This guide explains how to use Rclone with Koyeb to manage data stored on different cloud storage providers.

Use Rclone with the Koyeb Serverless Platform to Manage Data Across Cloud Storage Providers

<h2>Introduction</h2><p>This guide showcases how to deploy a video transcription service. We will use the <p><p>Once you have completed this tutorial, you will be able to upload your videos via the Koyeb S3-compatible API which will trigger a function generating a video speech transcription file each time a new video is uploaded.<p><p>You can then use the speech transcription file to:<p><ul><li>Index the results in a database and make your videos searchable</li><li>Automatically generate subtitles for your videos</li><li>Moderate videos based on their content</li></ul><p>And many other use-cases.<p><p>In this guide, we use a Koyeb Managed Store to store our videos and the generated video speech transcription file. You can also connect your own Cloud Storage Provider to integrate with your existing infrastructure and data with minimal effort.
Learn how to connect your Cloud Storage Provider <p><h2>Requirements</h2><h2>Steps</h2><p>To build a video transcription service using Koyeb and the GCP Video Intelligence API there are four steps:<p><ul><li>undefined</li><li>undefined</li><li>undefined</li><li>undefined</li></ul><h2>Create a Koyeb Store to Upload videos & Retrieve the video speech transcription file</h2><p>The first step is to create a Koyeb Store to store our videos and the transcription files generated. Koyeb Stores provides an S3-compatible API allowing you to manage your data programmatically using any S3-compatible SDKs and tools.<p><p>To create a new Koyeb Managed Store with the CLI, in your terminal, type:<p><p>Where the content of new-store.yaml is:<p><p>From there, you have a Koyeb Store up and running. You can interact with your store using any S3 compatible SDKs and tools.<p><h3>Configure </h3><p>The next step is to configure S3cmd to interact with the Store, so we can upload videos and retrieve video audio transcription files from there.<p><p>In the <p><p>Click the <p><p>Create an <p><p>To check the configuration is working fine, in the terminal type:<p><p>You should see the Store you previously created.<p><h2>Create a Koyeb Secret to store your Google Cloud Service Account configuration</h2><p>Create a Koyeb Secret to securely store your GCP Service Account configuration. Koyeb Secrets allow you to access API credentials, tokens, etc. securely in your configuration and functions without having to expose them.<p><p>Create a <p><h2>Create a Stack and deploy the video transcription function</h2><p>Our Store is configured and ready-to-use. The next step is to deploy our processing function to perform the video speech transcription.
We will use the Koyeb Catalog App to perform the processing as it allows you to perform this operation without writing a single line of code.<p><p>In the terminal, start by creating a new Stack. Stacks are processing environments containing code and containers.<p><p>With our Stack created, we can configure and deploy the video speech transcription app. Create a file containing our function configuration <p><p>Deploy the function by running:<p><p>This deploys the function into our Stack. Now, each time a video is uploaded to the Store <p><h2>Upload a video and retrieve the video transcription file</h2><p>With our processing stack ready, we can now check everything is running fine and that for each video uploaded, a video speech transcription file is generated.<p><p>To upload a video using S3cmd, in the terminal type:<p><p>Now, if you type  <p><p>Once the execution done, you can retrieve the speech-transcription file running:<p><p>This file contains the result of the processing function with the detected text in the video:<p><h2>Conclusion</h2><p>In this guide, we discovered how to deploy a video transcription service using Google Video Intelligence API and the Koyeb Serverless Engine.
We used S3cmd to upload and retrieve video but you can also use any S3 compatible SDKs and tools.<p><p>The catalog integrations code used in this guide is available on <p><p>If you have any questions about this tutorial, feel free to reach out to us on the <p>

This guide showcases how to deploy a video transcription service using the Koyeb Serverless Engine and the Google Cloud Video Intelligence API.

Automate videos transcription with Koyeb Serverless Engine

<h2>Introduction</h2><p>DigitalOcean Spaces is an object storage service offering a simple, scalable, and affordable way to store any data: audio, videos, images, backups, documents, and much more.
It scales on-demand, and you pay only for what you use.<p><p>You can learn more about DigitalOcean Spaces <p><p>When using DigitalOcean Spaces, you may want to perform data-processing when an event occurs on your bucket to transform, analyze, or optimize your data.
DigitalOcean does not provide the primitive to achieve this kind of operation.<p><p>Koyeb is a serverless data-processing platform that offers a simple, robust, and scalable way to deploy processing functions to perform data operations and manipulations in minutes regardless of the cloud service provide you use.<p><p>This guide demonstrates how to deploy a processing function on Koyeb that generates a thumbnail each time a new image file is uploaded on your DigitalOcean Spaces bucket.<p><h2>Requirements</h2><h2>Steps</h2><p>To implement this guide and generate a thumbnail each time a file is uploaded to your DigitalOcean bucket, you need to follow these four steps:<p><ul><li>undefined</li><li>undefined</li><li>undefined</li><li>undefined</li></ul><h2>Generate Spaces Access Keys</h2><p>To get started, you need to generate a new DigitalOcean Spaces access key to connect your DigitalOcean Spaces bucket to Koyeb. Connecting your DigitalOcean Spaces bucket to Koyeb is a mandatory
step to benefit from the Koyeb processing engine.<p><p>To generate a new Spaces key pair, on the DigitalOcean control panel, click <p><p>undefined<p><p>You land on the Applications & API page where you can manage your API tokens, and Spaces access keys. In the Space access key section, click the <p><p>A modal appears and prompts you to enter a <p><p>undefined<p><p>In the table, you now see your access key and secret key. Copy and save these values in a safe place. You will use them in the next step to connect your DigitalOcean Spaces bucket to Koyeb.<p><p>undefined<p><h2>Connect your DigitalOcean Spaces Bucket to Koyeb</h2><p>Now that you have generated a DigitalOcean Spaces key pair, you need to connect your DigitalOcean bucket to Koyeb. This operation allows Koyeb to access your DigitalOcean bucket and to store your images there.<p><p>On the Koyeb Control panel, click the <p><p>undefined<p><p>A form appears that asks for the information about the Spaces bucket you want to connect:<p><p>undefined<p><ul><li>Fill the </li><li>Enter the region your </li><li>Under Access_key, click the </li><li>Select the </li><li>Under Secret_key, click the </li><li>Select the </li><li>Give the Koyeb Store a name, in my case </li><li>Click the </li></ul><p>You created a Koyeb Store, which lets you access the content of your DigitalOcean Spaces bucket. Koyeb natively provides an S3-compatible API to let you interact with your Store using the S3 protocol to upload and manage your content.<p><h2>Create a Stack and Deploy the Image Resize Function</h2><p>Once your Store configuration is done; you can now create a Stack and deploy the function to generate a thumbnail each time a new image is uploaded to your DigitalOcean Spaces bucket.<p><p>On the top navigation bar, click the <p><p>You land on the Stack creation page. Stack is a Koyeb resource used to implement data-processing logic. A Stack is composed of two core elements:<p><ul><li>Event bus: To receive events from Store or different sources</li><li>Functions: Python, Node.js, Docker containers, or ready-to-use catalog apps triggered on specific events</li></ul><p>On the Stack creation view, click the <p><p>Then, give your Stack a name. Here I named my stack <p><p>You are now asked to create a new Stack revision. Stack revisions allow you to version your changes so you can rollback to a previous version in seconds and track your changes.<p><p>In the catalog function inputs, search for <p><p>This configuration uses the <p><p>The function will be triggered each time an image is uploaded to your DigitalOcean Store via the Koyeb S3-Compatible API.<p><h2>Upload a Few Images to the Bucket and View Results</h2><p>It's now time to upload some images to your Store and see what happens.<p><p>On the Koyeb control panel, click Stores and select the Store you previously created.<p><p>Click the <p><p>In the folder <p><h1>Conclusion</h1><p>In this guide, you saw how to implement a processing function to generate a thumbnail for each image uploaded to a Koyeb Store. This Store is connected to a DigitalOcean Spaces bucket and allows you to
upload and manage content via the Koyeb S3-Compatible API to benefit from Koyeb's S3-Compatible event-driven processing features.<p><p> If you would like to follow this tutorial and use a different third-party cloud service provider than DigitalOcean Spaces, please read our documentation about how to <p><p>Feel free to reach out to us over <p>

This guide showcases how Koyeb allows you to automatically process images uploaded to a DigitalOcean Spaces bucket to generate a thumbnail.

Process DigitalOcean Spaces Bucket Images to Generate Thumbnails

<h2>Introduction</h2><p>Backblaze B2 Cloud Storage is an S3-compatible cloud storage provider. At ¼ the price of AWS S3, Backblaze is a cost-effective option to store and manage data at scale.<p><p>You can learn more about Backblaze B2 Storage <p><p>Koyeb is a serverless data-processing platform that offers a simple, robust, and scalable way to deploy and process functions to perform data operations and manipulations in minutes. Regardless of the cloud service provider you use, you can connect the data hosted by that provider to Koyeb and deploy functions that process your data quickly and at scale.
Combining Koyeb with Backblaze lets you enjoy one of the most affordable object storage platforms on the market while leveraging the most powerful platform to process data.<p><p>This guide demonstrates how to deploy a processing function on Koyeb that <p><h2>Requirements</h2><h2>Steps</h2><p>To  generate a watermark on each image file uploaded to your Backblaze B2 bucket, you need to:<p><ul><li>undefined</li><li>undefined</li><li>undefined</li><li>undefined</li></ul><h2>Generate Backblaze Acccess Keys</h2><p>To be able to connect your Backblaze B2 bucket to Koyeb, you first need to generate a <p><p>You can generate this Access Key in your <p><p>undefined<p><p>Scroll down the page and click <p><p>undefined<p><p>A modal appears:<p><ul><li>Enter the name for your Application Key.</li><li>Decide which buckets this Application Key can access.</li><li>Determine what level of access this Application Key will grant.</li></ul><p>undefined<p><p>Once you've finished entering the relevant information for this Application Key, hit <p><p>You will now see your new Application Key, which is composed of your <p><h2>Connect your Backblaze B2 Bucket to Koyeb</h2><p>Now that you have generated a Backblaze B2 key pair, you need to connect your Backblaze B2 bucket to Koyeb. This operation allows Koyeb to access your Backblaze B2 bucket and to store your images there.<p><p>On the Koyeb Control panel, click the <p><p>undefined<p><p>In the list of cloud service providers, select <p><p>undefined<p><p>A form appears that asks for the information about the Backblaze bucket you want to connect:<p><ul><li>Fill the </li><li>Enter the </li><li>Click the </li><li>Choose a </li><li>Select the </li><li>Click the </li><li>Choose a </li><li>Select the </li><li>Give the Koyeb Store a name, such as </li><li>Click the </li></ul><p>You have just successfully created a Koyeb Store that mirrors the content of your Backblaze B2 bucket. Koyeb natively provides an S3-compatible API to let you interact with your Store using the S3 protocol to upload and manage your content.<p><h2>Create a Stack and Deploy the Watermark Function</h2><p>Once your Store configuration is done, you can create a Stack and deploy the function to generate a watermark each time a new image is uploaded to your Backblaze B2 bucket.<p><p>Look at the top navigation bar, click the <p><p>You land on the Stack creation page. A <p><ul><li>Event bus: To receive events from a Store or different sources</li><li>Functions: Python, Node.js, Docker containers, or ready-to-use catalog apps triggered on specific events</li></ul><p>From the Stack creation view, click the <p><p>undefined<p><p>Give your Stack a name, for example: <p><p>You are now prompted to create a <p><p>In the catalog function inputs, search for <p><p>undefined<p><p>A snippet appears. Replace the configuration variables with your settings.<p><p> In this example configuration, the <p><ul><li>Is 10% the size of the image that the watermark is placed on</li><li>Has a margin of 5 pixels</li></ul><p>The generated watermarked image is stored in the <p><p>When you are ready, write a revision message and click <p><p>This function will be triggered each time an image is uploaded to your Backblaze Store via the Koyeb S3-Compatible API.<p><h2>Upload Images to the Bucket and View Results</h2><p>It's now time to upload some images to your Store and see what happens.<p><p>On the Koyeb Control Panel, click <p><p>Click the <p><p>In the folder <p><p>An example image watermarked with the function:<p><p>undefined<p><h2>Conclusion</h2><p>In this guide, you saw how to implement a processing function to generate a watermarked image for each image uploaded to a Koyeb Store that is connected to a Backblaze bucket. 
If you would like to follow this tutorial and use a different third-party cloud service provider than Backblaze B2, please read our documentation about how to <p><p>Feel free to reach out to us over <p>

This guide demonstrates how Koyeb allows you to automatically watermark images uploaded into a Backblaze B2 bucket.

Watermark Images Uploaded to your Backblaze B2 Bucket Automatically

<h2>Introduction</h2><p>This guide demonstrates how to create an image search application using the Koyeb Serverless Platform, AWS Rekognition to detect labels, and Algolia to index and search images labels.<p><p>Once you have completed this tutorial, you have a Next.js app up & running allowing you to search images by labels and upload new images. Each time an image is uploaded, a Koyeb function is triggered to
detect image labels using AWS Rekognition and index the result in Algolia.<p><p>undefined<p><p>undefined<p><ul><li>undefined</li><li>undefined</li><li>undefined</li><li>undefined</li></ul><h2>Requirements</h2><h2>Steps</h2><p>To create the image search application, you need to follow these steps:<p><ul><li>undefined</li><li>undefined</li><li>undefined</li><li>undefined</li></ul><h2>Create a Koyeb Store to Upload and Retrieve Files</h2><p>The first step is to create a Koyeb Store to upload and serve images. Koyeb natively provides an S3-compatible API allowing you to manage your data programmatically using any S3-compatible SDKs and tools.
We will use the Koyeb S3 API endpoint to upload and serve images in our app.<p><p>In this guide, we use a Koyeb Managed Store for simplicity, but you can connect your own Cloud Storage Provider to use it directly. You can refer to this <p><p>To create a new Koyeb Managed Store, go to the Koyeb Control Panel.<p><ul><li>Click </li><li>On the Stores page, click </li><li>On the Store creation page, select </li><li>Name your Store. Either keep the automatically generated name or enter the name you want to use for this Store.</li><li>Click </li></ul><p>We have now created a Koyeb Managed Store and can go to the next step.<p><h2>Generate AWS Rekognition Credentials</h2><p>As our Koyeb function uses AWS Rekognition to detect labels in images, we need to generate AWS Credentials to access the service.<p><p>Below, we generate new credentials scoped to the AWS Rekognition API and create new Secrets to store these credentials in the Koyeb console so our function can access them at runtime.<p><p>undefined<p><ul><li>Go to Identity and Access Management (IAM) dashboard</li><li>Under </li></ul><p>undefined<p><ul><li>Click </li></ul><p>undefined<p><ul><li>Enter the username you want to use</li><li>Select </li><li>Click </li></ul><p>undefined<p><ul><li>Select </li><li>Enter </li><li>Click the box for </li><li>Click </li><li>Add tags to remember where these credentials are used (Optional)</li><li>Click </li></ul><p>undefined<p><ul><li>Review the information you have entered</li><li>Click </li></ul><p>undefined<p><p>You have now successfully configured AWS Rekognition credentials. Save them in a secure place, we will need them in the next step.<p><p>undefined<p><ul><li>Go to your </li><li>Click </li><li>Click </li></ul><p>undefined<p><ul><li>Enter the name of this Secret, for example: </li><li>Enter the AWS access key ID that you just created as the value.</li><li>Click </li></ul><p>undefined<p><ul><li>Click </li><li>Enter the name of this Secret, for example: </li><li>Enter the AWS secret key that you just created as the value.</li><li>Click </li></ul><p>We now have generated AWS Rekognition credentials and created the Koyeb Secrets required by our function to perform the label detection each time a new image is uploaded.<p><h2>Configure Algolia</h2><p>The next step is to configure Algolia by creating a new index to store image labels detect by AWS Rekognition.<p><h3>Create an Index</h3><p>undefined<p><ul><li>Click </li><li>Click </li><li>A model appears and asks for an index name, for this demo we name it: </li><li>Click </li></ul><h3>Configure Koyeb Secrets</h3><p>Now our index is created, we need to create new Koyeb Secrets to allow our function to index detected labels into Algolia at runtime.<p><p>undefined<p><p>undefined<p><ul><li>Click </li><li>Copy the </li></ul><p>Make sure to copy these values in a safe place, we will need them in the next steps.<p><p>undefined<p><ul><li>Go to your </li><li>Click </li><li>Click </li></ul><p>undefined<p><ul><li>Enter the name of this Secret, for example: </li><li>Enter the Algolia Application ID that you just located the value.</li><li>Click </li><li>Click </li><li>Enter the name of this Secret, for example: </li><li>Enter the Algolia API key that you just located as the value.</li><li>Click </li></ul><p>From there, all the required configuration is ready. We can now deploy our function and view what happens.<p><h2>Deploy the Processing Function</h2><p>The best part starts now! Fork the GitHub repository containing the Koyeb processing function and demo app <p><p>The GitHub repository contains:<p><ul><li>A </li><li>A </li></ul><p>All other files present in the repository are used to run the Next.js app. The app lets you explore the Koyeb Store images and upload new images that will be automatically processed by the function running on Koyeb.<p><p>Below is the repository structure:<p><ul><li>Edit the </li></ul><p>Open the <p><ul><li>undefined</li></ul><p>On the Koyeb console, click the <p><ul><li>undefined</li></ul><p>Go to the Store you created and upload some images. If you followed all steps, your Stack function is executed for each image uploaded, detect labels, and index them into Algolia.<p><p>In the Algolia control panel, you should see the list of images with their detected labels indexed.<p><h2>Run the Next.js app</h2><p>The final step is to run the Next.js app to showcase the end-to-end use-case.<p><h3>Generate Koyeb S3 credentials</h3><ul><li>In the Koyeb Console, click </li><li>Click </li><li>Give a name to the credentials to remember what are they used for</li><li>Copy the </li></ul><h3>Configure the Next.js app</h3><p>In the repository you previously forked, copy the <p><h3>Run the app</h3><p>In the terminal, run the following command to start the app:<p><ul><li>yarn install</li><li>yarn start</li></ul><p>In your browser, open <p>

This guide demonstrates how to build an image search application using the Koyeb Serverless Platform, AWS Rekognition to detect labels, and Algolia to index and search images labels.

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Build an Image Search App with Koyeb, AWS Rekognition, and Algolia