bubble.io-cover photo

Bilyal Mestanov

Antoniya Ivanova

deployment-cover photo

Data Enrichment Services for B2B-cover photo

Milush-photo

Stefan Mitov

Ivan Todorov

AI tools-cover photo

Bansko 2023

devops-cover photo

the manifest cover-phoot

Deyan Denchev

Olek

Mira

guzzle

web scrapping-cover photo

CTO & Co-Founder

Milush Karadimov

Software Developer

Full Stack Developer

CEO & Co-Founder

Mira Ereeva

Growth Manager

Oleksandr Suprun

Junior Full-stack Developer

PHP Developer


## A quick overview of Docker and Kubernetes

Before deploying our app to EKS, let's first quickly go over what Docker and Kubernetes are and how they help us deploy our applications. 

## Docker

Containerization is a technology that allows you to package your application and its dependencies into a single, portable unit called a container. Docker is the most popular containerization platform; it will enable you to encapsulate an application and its dependencies into a self-sufficient container, ensuring that it runs consistently across different environments, from a developer's PC to a production server. Docker containers are lightweight, fast to start, and easy to share, making them the ideal building blocks for modern applications. Containers ensure that what you develop and test locally behaves the same way in any environment where Docker is installed, eliminating the "but it was working on my machine" problem. All this helps speed up the development process, simplifies the deployment, and improves the overall reliability of applications.

## Kubernetes

On the other hand, Kubernetes is an open-source container orchestration platform that automates container deployment, scaling, and management. With Kubernetes, you can define how your applications should run, ensuring high availability, fault tolerance, and efficient resource utilization. 

A Kubernetes cluster comprises two fundamental components: the control plane (master node) and multiple worker nodes. The control plane oversees essential cluster-wide tasks like scheduling, scaling, and maintaining the desired state. On the other hand, the worker nodes serve as the execution engines, hosting pods—the smallest deployable units within Kubernetes. Each pod may contain one or more containers, sharing network and storage resources for efficient communication.  

Some of the main features of Kubernetes include: 

* __Orchestration:__ Kubernetes automates the deployment, scaling, and management of containerized applications, reducing manual work.
* __Load Balancing:__ It offers built-in load balancing for distributing network traffic to containers.
* __Auto-Scaling:__ Kubernetes can automatically scale the number of containers (pods) based on CPU or other metrics to handle changing workloads.
* __Self-Healing:__ It constantly monitors the state of your applications and automatically replaces containers if they fail.
* __Rolling Updates:__ Kubernetes supports rolling updates, allowing you to update your application without downtime or service interruption.
* __Resource Management:__ You can define and control resource limits and requests for CPU and memory, ensuring efficient resource utilization.

## Prerequisites

Before continuing with this article, make sure you have the following:

* An AWS account
* Access to the EKS (Elastic Kubernetes Service) and ECR (Elastic Container Registry) services on AWS
* The AWS CLI tool, we'll be using it to interact with the AWS services
* `kubectl`, the Kubernetes CLI tool
* `eksctl`, a CLI tool that will simplify our work with Amazon EKS, abstracting away the complexity of the AWS CLI
* Docker installed on your machine. We'll use it to build our app image and push it to the container registry

## Deploying the app

### Initial project setup

For this example, we will deploy a simple express hello world app. This is the initial project structure that we'll be working with

```text
hello-world-app
├── package.json
├── package-lock.json
└── src
    └── index.js
```

If we run the app, it should start on port 3000.

```sh
$ node src/index.js
App running on port 3000
```

And a `GET http://localhost:3000` request should return "Hello World!"

```sh
$ curl http://localhost:3000                          
Hello World!
```

## Containerizing the application

Before deploying our application to Amazon EKS, we need to build a Docker image and push it to Amazon's container registry. This registry serves as the centralized repository from which EKS retrieves the image, enabling the execution of our application in the cluster.

### Building the Docker image

Let's create two new files in the root directory of our project: "Dockerfile" and ".dockerignore".

```text
hello-world-app
├── package.json
├── package-lock.json
└── src
    └── index.js
├── Dockerfile
└── .dockerignore
```
Dockerfile is a script used to create a Docker image. It contains a series of instructions that describe how the image should be built. Here's the content of our Dockerfile:

```dockerfile 
FROM node:16

WORKDIR /app

COPY package*.json ./

RUN npm install

COPY . .

EXPOSE 3000

CMD ["node", "src/index.js"]

```
__Let's break it down line by line:__

* `FROM node:16`: This instruction specifies the base image for building this Docker image. In this case, it starts with a Node.js version 16 base image, which already includes Node.js and npm, making it suitable for Node.js applications.
* `WORKDIR /app`: This instruction sets the working directory within the image to /app. This is where the rest of the commands will be executed.
* `COPY package*.json ./`: Here, the `COPY` instruction copies the package.json and package-lock.json files from the host (the directory where the Dockerfile is located) to the /app directory within the image. 
* `RUN npm install`: You can use `RUN` to run any command during the build process. In this case, we use npm to install the dependencies specified in the package.json file. 
* `COPY . .`: This instruction copies all the files and directories from the host into the /app directory in the image. 
* `EXPOSE 3000`: The `EXPOSE` instruction informs Docker that the container will listen on port 3000 when it runs. 
* `CMD ["node", "src/index.js"]`: The `CMD` instruction specifies the default command to run when a container based on this image is started. In this case, it runs the Node.js application by executing node src/index.js within the container, starting our app.

The .dockerignore file tells Docker what files should be ignored during the build. In this case, we can add node_modules so it doesn't get copied into the docker image. While not required, this helps us keep the image size small and improve the build time.

Now that we've created the Dockerfile, we can build the image using the `docker build` command:

```sh
$ docker build -t hello-world-app .
```

Using the `-t` flag, we've specified what we want to name our image. The dot at the end tells Docker to look for the Dockerfile in the current directory. If it's somewhere else, or you named your script file differently, you can use the `-f` flag to pass Docker the path to the file. Once the command has been executed, you can run `docker images` to get a list of available images. The output should look something like this:

```sh
REPOSITORY  	 TAG  		   IMAGE ID 	   CREATED  SIZE TAG
hello-world-app  ec5cdedc65fc  26 seconds ago  861MB    latest
```

### Pushing the image to ECR

Now that we've built the image, it's time to create a repository in ECR and push it there.

To create the repository, run the following command:

```sh
$ aws ecr create-repository --repository-name hello-world-app
```

You should see output similar to this:

```json
{
    "repository": {
        "repositoryArn": "arn:aws:ecr:eu-central-1:721145219880:repository/hello-world-app",
        "registryId": "721145219880",
        "repositoryName": "hello-world-app",
        "repositoryUri": "721145219880.dkr.ecr.eu-central-1.amazonaws.com/hello-world-app",
        "createdAt": "2023-10-05T13:26:15+03:00",
        "imageTagMutability": "MUTABLE",
        "imageScanningConfiguration": {
            "scanOnPush": false
        },
        "encryptionConfiguration": {
            "encryptionType": "AES256"
        }
    }
}
```

Take note of the `repositoryUri` value, which we'll use later to push our image to the repository and deploy it to the Kubernetes cluster. Still, before that, since this is a private repository, we need to authenticate Docker first. To do this, you can run the following command with your region and account ID:

```sh
$ aws ecr get-login-password --region [region] | docker login --username AWS --password-stdin [aws_account_id].dkr.ecr.[region].amazonaws.com
```

You will get a "Login Succeeded" message in the console if it succeeds.

Now that we've authenticated Docker, we can push our image to the repository. We must tag it with a specific value using the repositoryUri: `[repositoryUri]:[tag]`. The tag value here can be anything: an image version, "latest", or anything else that makes sense in your case. Then, you can run `docker push` with the same value you tagged the image with:

```sh
$ docker tag hello-world-app 721145219880.dkr.ecr.eu-central-1.amazonaws.com/hello-world-app:latest
```

```sh
$ docker push 721145219880.dkr.ecr.eu-central-1.amazonaws.com/hello-world-app:latest
```

Once the command executes, you can confirm that the image has been pushed to ECR by running:

```sh
$ aws ecr list-images --repository-name hello-world-app
```

```json
{
    "imageIds": [
        {
          "imageDigest": "sha256:511a3e2fef5790fca4ac7b03fec6dba0b5339c4acea8a74b7f1ea3fc16f5904f",
            "imageTag": "latest"
        }
    ]
}
```

With this, we've successfully built our image and pushed it to ECR. Now, it's time to deploy it to EKS.

## Deploying the app to EKS

First, we'll need to create a new cluster in EKS:

```sh
$ eksctl create cluster --name hello-world-app --region eu-central-1
```

Creating a new cluster might take a while. Once the command finishes executing, you should see in the terminal that it has created a new config file. In my case, it was at `~/.kube/config`. This file contains the credentials necessary for `kubectl` to access our cluster. 

We will create two new files to deploy the app to the Kubernetes cluster: `k8s/deployment.yaml` and `k8s/service.yaml`. 

```text
hello-world-app
├── k8s
	├── deployment.yaml
    └── service.yaml
├── package.json
├── package-lock.json
└── src
    └── index.js
├── Dockerfile
└── .dockerignore
```

The deployment.yaml file describes how the container should be run within the cluster. Here, we can specify the number of replicas, docker image, env variables, etc. On the other hand, the service.yaml file allows us to connect our app to a network. Let's examine the files' contents and explain them in more detail.

First the deployment.yaml file:

```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: hello-world-deployment
spec:
  replicas: 2
  selector:
    matchLabels:
      app: hello-world
  template:
    metadata:
      labels:
        app: hello-world
    spec:
      containers:
      - name: hello-world-container
        image: 721145219880.dkr.ecr.eu-central-1.amazonaws.com/hello-world-app:latest
        ports:
        - containerPort: 3000
```

* The `apiVersion` and `kind` fields are used to specify the kind of Kubernetes resource that's being defined. In this case it's deployment, which is used for deploying containerized applications. Still, many other resource types exist, like ConfigMap for storage configurations or PersistanceVolume for storage.
* The `metadata` section contains metadata about the deployment. 
* The `spec` section contains information about the deployment itself:
    * `replicas` specifies the number of running instances of your application.
    * `selector` defines what selector we can use later on to identify pods managed by this deployment
    * `template` contains the template of the pods. Here, we've configured the container, for example, what image should be used and what port is exposed. Here, you can also set other things, such as env variables, CPU and memory limits, data volumes for the container, and so on.

	And here's the service.yaml file:

```yaml
apiVersion: v1
kind: Service
metadata:
  name: hello-world-service
spec:
  selector:
    app: hello-world
  ports:
    - protocol: TCP
      port: 80
      targetPort: 3000
  type: LoadBalancer
```

The service.yaml file will allow our deployment to connect to a network. In this case, the service will listen to port 80 and route the traffic to the container on port 3000.

One of the more important fields in this resource type is the type field, which decides who can access the app. There are four possible values:

* ClusterIP - the deployment won't be publicly accessible. It can only be accessed by other apps within the Kubernetes cluster.
* NodePort - this service type will open a port that we specify on all nodes in the cluster, making the deployment publicly available
* LoadBalancer - This is another way to expose the deployment to public access. Still, it only works if you use Kubernetes with a cloud provider that supports it (AWS, in our case). It will create a load balancer service to route the traffic to our pods.
* ExternalName - this will map our service to a DNS name. We can specify the name with the `spec.externalName` field.

And now, we're ready to deploy the app to the cluster by calling `kubectl apply` to apply the changes that we defined earlier to our cluster:

```sh
$ kubectl apply -f k8s/deployment.yaml 
deployment.apps/hello-world-deployment created
```

```sh
$ kubectl apply -f k8s/service.yaml   
service/hello-world-service created
```

Once this is done, we can check whether everything has been appropriately deployed by running:

```sh
$ kubectl get all

NAME  										READY 	STATUS  RESTARTS 	AGE
pod/hello-world-deployment-574fbf949b-5xcrf 1/1 	Running 0  			4m
pod/hello-world-deployment-574fbf949b-bfghm 1/1 	Running 0  			4m

NAME  						TYPE 			CLUSTER-IP  	EXTERNAL-IP PORT(S)  												 					AGE
service/hello-world-service LoadBalancer 	10.100.159.38 	a2c68e692ec944c48a22d7a8b10aff98-2831416.eu-central-1.elb.amazonaws.com 80:30955/TCP 	4m
service/kubernetes  		ClusterIP  		10.100.0.1  	<none>  443/TCP  																		17m

NAME 									READY 	UP-TO-DATE AVAILABLE 	AGE
deployment.apps/hello-world-deployment 	2/2 	2  			2 			4m

NAME  												DESIRED CURRENT READY	AGE
replicaset.apps/hello-world-deployment-574fbf949b 	2 		2 		2 		4m
```
Here, we can see all resources deployed to the cluster, including our two instances and the service. For `service/hello-world-service`, we can see it has been assigned an external IP address. Using that, we can test our app:

```sh
$ curl a2c68e692ec944c48a22d7a8b10aff98-2831416.eu-central-1.elb.amazonaws.com
Hello World!
```

As we can see, everything is working correctly. With this, we've finished our deployment.

You can find the complete project from this article here: https://github.com/lexis-solutions/kubernetes-demo.

### Conclusion
This article covers the basics of Docker and Kubernetes, essential components in modern application deployment. However, it's important to note that Docker and Kubernetes are vast and intricate topics with numerous advanced features and capabilities waiting to be explored. While we've provided a solid foundation to get you started, there's much more to discover and master in these powerful technologies.


Lexis Solutions guides you through the process of containerizing and deploying your application on an Amazon Web Services Kubernetes cluster using Elastic Kubernetes Service.

Deploying Your App to AWS Kubernetes with EKS: A Step-by-Step Guide

There are many good reasons why you should consider creating your own website for your business. From reaching more people and customers from all over the world to increasing your overall sales, having a website is crucial to your success in the digital age. Don’t let this opportunity slip away, get to work and start developing your own website with the support of our Lexis Solutions team.

We're on a mission to create amazing digital products for innovative ideas. Since 2017, we have worked with thriving businesses as their technological partner. Our skilled staff is dedicated to offering custom software solutions that properly match your vision while assuring excellent project management and transparent communication.

And today, we are delighted to announce that our team has recently accomplished a massive milestone for this year. Our company has been recently named one of the most-reviewed web development companies in Bulgaria by none other than The Manifest.

The Manifest, for those of you who don’t know, is [a business blog and reviews platform ](http://themanifest.com/bg/web-development/companies?utm_source=directory&utm_medium=blog&utm_campaign=TM+Awards)that aims to gather and verify the hard data, expert insights, and actionable advice that you need to build your brand and grow your business – to provide the practical business wisdom that manifests in your success.

This award wouldn’t have been possible without your support, yes you! You, our clients and partners, played a significant role in helping us bag this award. Our team is thankful for supporting our business throughout the years, you guys are awesome! 

[Let’s talk about your project.](https://www.lexis.solutions/contact-us) We’re a team of developers, designers, and strategists who work with companies of all sizes to design, build, and grow digital products.

The Manifest highlights another achievement by Lexis Solutions' team! 

The Manifest Recognizes Lexis Solutions as one of the Most Reviewed Web Developers in Bulgaria

## Introduction

In the early stages of my [software development](https://www.lexis.solutions/blog/from-idea-to-launch-software-development-for-startups) journey, I was tasked with a project that utilized "Power Apps," Microsoft's low/no-code platform. The experience with the low/no-code tech could have been more impressive and filled with shortcomings. As a result, I chose to stay away from low/no code development for the past few years. However, a recent opportunity within the company led me to the low/no-code ecosystem again, prompting me to explore a platform called [Bubble.io](https://bubble.io/).

### What is Bubble.io?

![cover (1)](//images.ctfassets.net/5gydaotbo8jm/6cnrh1ke0WzZyS0IrFGv0O/8e45bcf5b2e651bed9b506bdf3f67b67/cover__1_.png)

Bubble.io is one of the more popular no-code development frameworks.
The platform follows the "drag & drop" design approach using its visual editor, which allows anyone with or without a coding background to start immediately.

With the simple [UI](https://www.lexis.solutions/blog/free-resources-for-resourceful-UI-designers), it is easy to navigate, and with the search functionality, you can find what you are looking for without feeling overwhelmed.  

Nevertheless, its primary appeal lies with individuals lacking technical expertise who wish to create & design web applications, all without needing familiarity with the conventional tools of the industry.

### Visual Editor & UI Elements

By utilizing the visual editor, designing and building responsive apps can be done quickly and previewed immediately.

![design](//images.ctfassets.net/5gydaotbo8jm/6xZxBVNZqyUilmY7zdAoOf/e8ba365a9f51086ab51dbddac883ab84/design.png)

Inside the editor, you have access to various built-in UI elements. You can install new elements, or if you have knowledge of HTML & CSS, you can create your custom elements. Also, you can preview & deploy your app.

### Workflow Editor & Actions

The workflow editor is where you handle the app state; it lets you create actions and add logic to every element built inside the UI Builder.

![workflows](//images.ctfassets.net/5gydaotbo8jm/1Ps0IRockEp6qeWy8NXpgD/d0ad19682e5a10a17bbe2573375cbb66/workflows.png)

Inside the editor, you can assign dynamic or static variables during the different states of the page or when the input value is changed.

### Built-in Database

Bubble.io, the no-code development platform, creates a customizable & scalable database to meet all your needs and comes with privacy settings where you can set rules for what content is available for which user and so on.

![data](//images.ctfassets.net/5gydaotbo8jm/3NugOLHeohBaB2xJdyddyX/643693a2f96048aa5f1a15fc54a329f9/data.png)

### Styles and Re-usable components

In tradition, web development is a must to have clean and reusable UI elements to maintain and scale applications, and I am impressed that Bubble.io gives you the ability to have the same level of maintainability and scalability as traditional Javascript libraries such as [React](https://www.lexis.solutions/services/react-native-development).js.

![styles](//images.ctfassets.net/5gydaotbo8jm/1D2kRvdXbhwhEAELH1MLLu/25dce88307017b9055eb2abd15b6d697/styles.png)

Inside the style editor, you can apply and define the application layout theme and colours and design the templates for buttons, inputs, and so on. When the time comes to update/change any UI element, Bubble.io allows you to change the templates, which, as a result, will change all instances of that element.

### Plugins and Third-Party Integrations

Bubble.io has many pre-built and ready-to-be-used plugins, making third-party integrations such as Stripe and Google easy to set up and use. Of course, the no-code development platform provides the tools to create custom plugins, so any limitations on that front are covered.

![plugins](//images.ctfassets.net/5gydaotbo8jm/5KQi13vwbpPAz8eSwsXutt/d490918eae22297831c7ea1654e24646/plugins.png)

### What Bubble.io does well from a developer's point of view

With little prior experience with low/no-code development platforms, it was easy to start building a web application. When you create an account, you're led straight to the main dashboard; I read through the documentation to see how to work with plugins & workflows and was ready to go. The Bubble.io UI is intuitive and easy to navigate. I liked how the workflows work, and with the containers in the UI builder, it is easy to set element hierarchy and groups and have a responsive design. I could have a working MVP in a matter of hours, and I was impressed by how effortless it was.

### What Bubble.io doesn't do so well? 

After a few days of working with Bubble.io, and as my project grew in pages/elements/events, I started to experience different issues, mundane tasks to solve in traditional web programming but annoying and sometimes hard to solve in Bubble.io. After having hundreds of visual elements, it was challenging to make changes. When workflows grew in size and complexity, maintaining them and making changes became much more complicated.

## Conclusion

Overall, Bubble.io is one of the better low/no-code development platforms. It has reached a point worth considering as an alternative to traditional web development. Just like React.js and Angular.js, both libraries have their use cases. Strong and weak points, so for a simple application that may display information or is small in scale and with a simplistic UI, Bubble.io is an excellent option. For larger, more complex applications, I wouldn't use Bubble.io. However, this may change in the future as the platform keeps on improving.

Navigate the diverse terrain of no-code development as we unveil the capabilities of Bubble.io.

The Bubbles of No-Code Development: A Journey Through Bubble.io

## Introduction

Guzzle is a popular PHP HTTP client that simplifies making HTTP requests. It has been around for over ten years and is utilized by the Laravel framework under the hood. Guzzle abstracts the complexities of creating HTTP requests and handling responses by wrapping them in intuitive PHP objects, which you can easily manipulate. It is super flexible and allows you to specify timeouts, auth and proxy details, SSL certificates, etc. Guzzle is used for various HTTP-related tasks, such as making API requests, scraping web pages, and interacting with web services.

## Features

Guzzle has all the features you'd expect from an HTTP client. Here are some of its key functionalities in detail:
HTTP Request Methods & Params
Guzzle supports all primary HTTP request methods, including GET, POST, PUT, DELETE, HEAD. You can easily specify the desired manner when creating requests.

*__Get query without parameters__*

```php
    $client = new GuzzleHttp\Client();
    $request = $client->get('https://example.com');
```

*__Delete query__*

```php
    $client = new GuzzleHttp\Client();
    $request = $client->delete('https://example.com');
```

Guzzle also makes it easy to add parameters to your requests. This is useful for passing data in the URL for GET requests or specifying the body for the JSON API you interact with.

__Get query with parameters__

```php
    $client = new GuzzleHttp\Client();
    $response = $client->request('GET', 'https://example.com', [
        'query' => [
            'param1' => 'value1',
            'param2' => 'value2',
        ],
    ]);
```

 __Post query with parameter__

 ```php
    $client = new GuzzleHttp\Client();
    // Define the parameters as an associative array
    $parameters = [
        'param1' => 'value1',
        'param2' => 'value2',
    ];

    // Convert the parameters to a JSON string if there are two or more parameters, and skip this step if you pass only one parameter
    $json_ parameters = json_encode($parameters);
    // Send the POST request
    $response = $client->request (POST, 'https://example.com', [
        'body' => $json_ parameters,
        'headers' => [
            'Content-Type' => 'application/json',
        ],
    ]);
    // Get the response body if needed
    echo $response->getBody()->getContents();
``` 

You can set custom HTTP headers for your requests, essential for authentication, user agent identification, and specifying content types.

__Guzzle HTTP Client Authentication Example__

You can use Guzzle to send authenticated requests using various authentication methods such as Basic Authentication, Bearer Token, or other custom authentication mechanisms. Here's an example of basic authentication:
```php
    $client = new GuzzleHttp\Client();
    $response = $client->request('GET', 'https://example.com', [
        'auth' => [
            'your_username',
            'your_password'
        ],
    ]);
```

__Guzzle HTTP Client Specifying Content Types Example__

You can specify the Content-Type and Accept headers to indicate the content type of the request and the expected response content type:

```php
    $client = new GuzzleHttp\Client();
    $response = $client->request('POST', 'https://example.com', [
        'headers' => [
            'Content-Type' => 'application/json',
            'Accept' => 'application/json',
        ],
        'json' => [
            'key1' => 'value1',
            'key2' => 'value2',
        ],
    ]);
```

__Guzzle HTTP Client User Agent Identification Example__

You can set a custom User-Agent header to identify your client to the server:

```php
    $client = new GuzzleHttp\Client();
    $response = $client->request('GET', 'https://example.com', [
        'headers' => [
            'User-Agent' => MyCustomUserAgent/1.0,
        ],
    ]);
```

__Request Options__

Guzzle allows you to configure various request options, such as timeouts, SSL verification settings, and more.

```php
    // Timeout if a server does not respond in 5 seconds
    $client->request('GET', 'https://example.com', ['timeout' => 5]);

    // Automatically retry the request if a client or server error occurs - it is possible by installing an additional Guzzle Retry Middleware package via 'composer require caseyamcl/guzzle_retry_middleware'. Then, add an option in the request
    $response = $client->get('https://example.com', [
        'max_retry_attempts' => 5, // maximum number of retries. It is ten by default.
    ]);

    // *If you're using Laravel, you can set retries with this code where 3 is the number of request attempts, and 50 is the number of milliseconds Laravel should wait between shots
    Use Illuminate\Support\Facades\Http;
    $response = Http::retry(3, 50)->post('https://example.com');

    // Use a custom SSL certificate on disk
    $client->request('GET', '/', ['verify' => '/path/to/directory/certificate.pem']);
```

__Middleware__

Middleware is a powerful feature that enables you to modify requests and responses flexibly and reusable. You can attach middleware to the Guzzle client to perform tasks like logging, authentication, or response processing.

```php
    // An example of how to log Guzzle HTTP requests and responses for debugging purposes using the Monolog package, which sends logs to a file, and the MessageFormatter instance that controls what gets logged
    $logger = new Logger('guzzle');
    $logger->pushHandler(new StreamHandler('guzzle.log'));
    $stack = \GuzzleHttp\HandlerStack::create();
    $stack->push( \GuzzleHttp\Middleware::log(
        $logger,
        new MessageFormatter('{method} {uri} - {code} - {res_body}')
    ));
    $client = new GuzzleHttp\Client(['handler' => $stack]);
    $response = $client->request('GET', 'https://example.com');
```

__Cookies__

Guzzle includes a CookieJar for managing cookies in your HTTP requests. This allows your application to handle session and authentication cookies seamlessly.

```php
    // An example of managing cookies across multiple requests using CookieJar
    $cookieJar = new CookieJar();
    $client = new GuzzleHttp\Client(['cookies' => $cookieJar]);
    $response = $client->request('GET', 'https://example.com');
    $cookies = $cookieJar->toArray(); // Access cookies from the response
    print_r($cookies);
```

__Async Requests__

Guzzle supports asynchronous requests, which means you can send multiple requests in parallel and process their responses as they become available. This can significantly improve the performance of your applications when dealing with numerous remote resources.

```php
    // An example of how to send asynchronous requests for improved performance
    $client = new GuzzleHttp\Client();
    $api_urls = [
        'https://api.example.com/resource1',
        'https://api.example.com/resource2',
        'https://api.example.com/resource3',
    ];
    $promises = [];
    foreach ($api_urls as $url) {
        $promises[$url] = $client->getAsync($url);
    }
    $responses = Promise\settle($promises)->wait(); // A settled Promise represents the outcome of an asynchronous operation which can be successfully (fulfilled) or with an error (rejected)
    foreach ($responses as $url => $response) {
        if ($response['state'] === 'fulfilled') {
            $response_data = $response['value']->getBody()->getContents();
            echo "Response from $url: $response_data \n";
        } else {
            echo "Request to $url failed.\n";
        }
    }
```

__Streaming Responses__

Guzzle can stream large response bodies, which helps download large files or process streaming data without loading it all into memory.

```php
    // You can stream large responses to save memory
    $client = new GuzzleHttp\Client();
    $api_url = 'https://api.example.com/large-resource';
    $response = $client->request('GET', $api_url, ['stream' => true]);
    // Stream the response
    $stream = $response->getBody();
    while (!$stream->eof()) {
        echo $stream->read(1024); // Process data in chunks
    }
```

__Proxy support__

Proxy support in Guzzle allows you to route your HTTP request through an intermediary server (a proxy server) before reaching the target server. This can be useful when accessing resources behind a firewall or for privacy reasons. Guzzle makes configuring and using a proxy server for your requests is straightforward.

```php
    // An example of how to set proxy servers. Define the proxy server details
    $proxy_servers = [
        first_server => 'https://first-proxy-server:port',
        second_server => 'https://second-proxy-server:port',
    ];
    // Create a Guzzle HTTP Client with proxy configuration
    $client = new GuzzleHttp\Client([
        RequestOptions::PROXY => $proxy_servers,
    ]);
    // Sent a GET request through the proxy
    $response = $client->get('https://example.com');
    // Handle the response
    echo $response->getBody()->getContents();
```

__Sink__

Guzzle's "sink" feature allows you to efficiently download large files or responses directly to a file instead of loading the entire response into memory. This is particularly useful when dealing with large files, as it helps prevent memory exhaustion.

```php
    // An example of downloading a file with the sink function
    $client = new GuzzleHttp\Client();
    // Define the file path where you want to save the downloaded file
    $file_path = 'path/to/directory/file.txt';
    // Send a GET request and save the response directly to the file
    $client->get('https://example.com/large-file.zip', [
        RequestOptions::SINK => $file_path,
    ]);
```

__Error Handling__

The library provides error-handling mechanisms and exceptions for various HTTP-related errors, making it easier to handle issues like connection failures, timeouts, and invalid responses gracefully.

__Request and Response Logging__

Guzzle supports request and response logging, which is valuable for debugging and monitoring the communication between your application and external services.

  ```php
    // You can log both requests and responses for debugging. Create a PSR-3 compatible logger (e.g., Monolog)
    $logger = new \Monolog\Logger('guzzle');
    $logger->pushHandler(new \Monolog\Handler\StreamHandler('guzzle.log'));
    $stack = HandlerStack::create();
    $stack->push(Middleware::log($logger, new MiddlewareFormatter()));
    $client = new GuzzleHttp\Client(['handler' => $stack]);
    $api_url = 'https://api.example.com/resource';
    try {
        $response = $client->request('GET', $api_url);
        // Handle the response here
    } catch (Exception $e) {
        echo 'Error: ' . $e->getMessage();
    }
```
__Note:__ In this example, you must implement a custom MiddlewareFormatter to format the log entries per your requirements.
Scenarios

Certainly, Guzzle HTTP Client is commonly used in various scenarios in PHP development. Let's dive into the most common use cases for Guzzle, along with detailed examples for each:

*__Web Scraping and Content Retrieval__*

Scraping web content or fetching HTML data from websites.

```php
    $client = new GuzzleHttp\Client();
    $response = $client->get('https://example.com');
    $html_content = $response->getBody()->getContents();
```
*__Asynchronous Requests__*

Sending multiple HTTP requests in parallel for improved performance, e.g., concurrently fetching data from various APIs.
```php
    $client = new GuzzleHttp\Client();
    $promises = [
        $client->getAsync('https://api.example.com/resource1'),
        $client->getAsync('https://api.example.com/resource2'),
        // Add more async requests as needed
    ];
    // Wait for all promises to settle and get their results
    $responses = GuzzleHttp\Promise\unwrap($promises);
```
*__Authentication and Token Retrieval__*

Authenticating with an OAuth 2.0 server to obtain an access token for API access.

```php
    $client = new GuzzleHttp\Client();
    $response = $client->post('https://auth.example.com/token', [
        'form_params' => [
            'grant_type' => 'client_credentials',
            'client_id' => 'YOUR_CLIENT_ID',
            'client_secret' => 'YOUR_CLIENT_SECRET',
        ],
    ]);
    $token_data = json_decode($response->getBody()->getContents(), true);
```
__Web Service Testing__

Writing automated tests to check the functionality of a web service's API endpoints. You can use PHPUnit, a popular testing framework for PHP, to create and run these tests.
```php
    $client = new GuzzleHttp\Client();
    // Send a GET request to https://example.com/your-endpoint
    $response = $client->get('https://example.com/users/123');

    // Check if the response status code is 200, and then parse the JSON response content and make assertions about its structure and values
    $this->assertEquals(200, $response->getStatusCode());
    $data = json_decode($response->getBody(), true);
    $this->assertArrayHasKey('expected_key', $data);
    $this->assertEquals('expected_value', $data['expected_key']);
```
### Step-by-step with Guzzle HTTP Client

Picture yourself in the process of constructing a web application that needs to interact with various online services. Let's say you intend to retrieve video information from a video database and present it within your application. You will surely need an HTTP client, and Guzzle is the perfect choice. Let's start with authentication and then proceed with different download modes (synchronous and streaming). Follow these steps:

__1. Install Guzzle:__ If you haven't already, install Guzzle by running:
```
    composer require guzzlehttp/guzzle
```

__2. Create a PHP file:__ Start by creating a PHP file where you'll write the code for downloading the video.

__3. Import necessary classes:__ In your PHP file, you'll need to import the Guzzle classes you'll be using and include the “autoload” file in the script part of the code to load all the classes and methods.
```php
    <?php
    require 'vendor/autoload.php';
    Use GuzzleHttp\Client;
    Use GuzzleHttp\RequestOptions;
```
__4. Specify the URL of the video and authentication credentials:__ Set the URL of the video and any authentication credentials if required:

```php
    $username = 'your_username';
    $password = 'your_password';
    $video_url = 'https://example.com/path/to/video.mp4';
    $file_path = 'path/to/directory/video.mp4';
```

__5. Initialize Guzzle Client:__ Create an instance of the Guzzle Client. This client will handle the HTTP requests:

```php
    $client = new GuzzleHttp\Client([
        'auth' => [$username, $password]
    ]);
```

__6. Option 1:__ Synchronous Download: This method downloads the entire file simultaneously. Use this approach if you're working with reasonably sized files:

```php
    try {
        $client->get($video_url, [
            RequestOptions::SINK => $file_path,
        ]);
        echo 'Video downloaded successfully!';
    } catch (GuzzleHttp\Exception\RequestException $e) {
        echo 'Error: ' . $e->getMessage();
    }
```

__7. Option 2:__ Streamed Download: This method downloads the file in chunks, which can be helpful for large files. It consumes less memory compared to synchronous downloads:
 ```php
    try {
        $response = $client->request('GET', $video_url, [
            'auth' => [$username, $password], // Add authentication
            'stream' => true // Enable streaming
        ]);
        if ($response->getStatusCode() === 200) {
            $stream = $response->getBody();
            $file_handle = fopen('video.mp4', 'w');
            while (!$stream->eof()) {
                fwrite($file_handle, $stream->read(1024));
            }
            fclose($file_handle);
            echo 'Video downloaded successfully!';
        } else {
            echo 'Error: Status code - ' . $response->getStatusCode();
        }
    } catch (Exception $e) {
        echo 'Error: ' . $e->getMessage();
    }
```
Replace 'https://example.com/path/to/video.mp4', 'your_username', and 'your_password' with your actual URL and authentication credentials.

__Note:__ *Ensure you have the proper rights or permissions to download and use the video, considering any legal or copyright considerations.*

## Conclusion

Guzzle is an incredible HTTP Client for PHP because of its simplicity, flexibility, extensive feature set, security, and strong community support. Whether you're building web applications, APIs, or scripts that interact with remote services, Guzzle can streamline your HTTP-related tasks and enhance the overall quality of your projects.


Guzzle is an essential PHP HTTP client for API requests, web scraping, and streamlining requests with custom headers, timeouts, and methods.

Guzzle's Hidden Gems: Beyond the Basics of HTTP Request Handling

In the digital age, where information is at our fingertips, the efficiency of retrieving data from the web has become paramount. To address the challenges posed by data retrieval, web scraping, and crawling have emerged as essential techniques. Let's delve into web scraping and crawling, exploring their benefits, intricacies, and potential pitfalls.

## Navigating the Data Labyrinth

Web scraping involves extracting specific information from websites by parsing the HTML and other relevant data. It allows applications to access up-to-date information from the web without relying on manual input. 

### Benefits of Web Scraping

__Real-time Data__

Web scraping ensures that applications always have access to the latest data without the delay associated with manual updates.

__Automation__

By automating data collection, web scraping saves valuable time and resources that can be allocated to more critical tasks.

__Customization__

Scraping allows you to extract only the necessary data, eliminating the need to sift through irrelevant information.

__Competitive Insights__

Businesses can gain a competitive edge by monitoring competitors' websites for pricing, product details, and other market insights.

__Comprehensive Indexing__

Crawlers explore the entire web, indexing a wide range of content for users to search.

__Timely Updates__

Crawlers revisit websites periodically, ensuring the current indexed content.

__Structured Data__

Crawlers organize information in a structured manner, making it easier for search engines to retrieve relevant results.

### Challenges and Considerations

__Server Load and Rate Limiting__

Frequent crawling can strain website servers, potentially affecting their performance and leading to access restrictions. Websites protect themselves from being overwhelmed by requests by imposing rate limits or blocking IP addresses exhibiting suspicious behavior.

__Legal and Ethical Concerns__

Some websites prohibit scraping through their terms of use. It's crucial to respect the website's policies and not overload its servers with excessive requests.

__Duplicate Content__

Crawlers might inadvertently index the same content, leading to inaccurate search results.

__Data Integrity__

One challenge lies in ensuring the accuracy and integrity of the harvested data. Websites may update their structure or content, leading to data extraction errors. Additionally, ensuring that the scraped data is legally and ethically sourced is of utmost importance.

__Website Structure__

Websites often change their structure, which can break scraping scripts. Regular maintenance is necessary to adapt to such changes. Websites often use dynamic content-loading mechanisms like JavaScript, which can complicate the scraping process. Extracting data from such sources requires more advanced techniques to correctly interpret and capture the information.

### Conclusion

Scraping and crawling web pages are essential methods for optimizing web searches. They allow us to access up-to-date information from the Internet without manual input. However, it is crucial to be aware of the problems and considerations associated with these methods, such as website structure, legal and ethical issues, and data quality. By following best practices, web scraping and crawling can be used to efficiently and effectively extract data from the Internet.


Lexis Solutions explores the significance of web scraping and crawling in the digital age.

Optimizing Web Data Retrieval: Web Scraping and Crawling

## The mountains were calling us

Lexis Solutions has just celebrated its sixth anniversary! We added one more year of hard work, constant laughter, and indulging in office-baked goods a bit more than we should've. So we treated ourselves to an unforgettable getaway in the city of Bansko, among Bulgaria's majestic mountains.

![lexis team 1](//images.ctfassets.net/5gydaotbo8jm/20Chpf9lKapSlEe177ZYHI/008090b42a1363505694c1e72693a472/368345149_685406642969575_5658398649408658154_n.jpeg)

## Journeying through nature's beauty

The breathtaking landscapes of the Bulgarian mountains set the stage for an unforgettable experience. We started our hike from Vihren Chalet and visited the magnificent lakes around. 

![planina](//images.ctfassets.net/5gydaotbo8jm/15i8mVhdkGwZBZlafFydKn/b7d0889add2f15689e6f21ecf4c57125/IMG_2202.jpg)

![pirin](//images.ctfassets.net/5gydaotbo8jm/13a4Tv4TjZ2Spg1te2t6Ag/a2c85e017c51e4af58d8fa444fc57dcb/IMG_2210.jpg)

## The spirit of sportsmanship

Sport has always been a crucial part of Lexis Solutions, so a friendly football match brought out the team's competitive spirit as we kicked up the dust and scored goals.

![football](//images.ctfassets.net/5gydaotbo8jm/7tdCSN5TdKjbhBi2qs4XII/9756b7d4080fc745cc12befe97fee984/IMG_20230819_100945__1_.jpg)

## The Airsoft challenge

An unexpected highlight was the airsoft battles, where another friendly competition took on a new dimension.

![air force](//images.ctfassets.net/5gydaotbo8jm/5Rj3dBvEqlFbtZLf6dKFZp/e6c06c804168046d127baacdf8e93c30/IMG_1983.jpg)

![air force 2](//images.ctfassets.net/5gydaotbo8jm/5vjXsktQpwTLAiw20OU72e/deb9b959b2e4a380596a8fbd780b6112/IMG_1981.jpg)

Between the planned activities, we had fun with various games and enjoyed the spa at the hotel where we were staying. And, of course, the Lexis team did not miss the opportunity to delight in the flavors of our typical cuisine. 

![lexis team 2](//images.ctfassets.net/5gydaotbo8jm/1OMtzXXB9RNH1V8vdTJlgs/6e8856832011b5b0c7874ec14a2d4706/IMG_2213.jpg)

In the heart of the Bulgarian mountains, Lexis Solutions found more than just an escape; we found a journey of growth, unity, and unforgettable moments. This getaway showcased that a team that plays together grows and succeeds together.


Celebrating 6 incredible years at Lexis Solutions with a mountain retreat in Bulgaria's breathtaking Bansko! 

In the Heart of the Mountains: A Lexis Solutions getaway


In this article, I will discuss the benefits of using DevOps-as-a-Service (DaaS) over traditional DevOps practices, as seen from our experience at Lexis Solutions. We have had positive and negative experiences when choosing the right cloud infrastructure for our clients, and I will elaborate on that aspect. 

![DevOps Model Diagram White](//images.ctfassets.net/5gydaotbo8jm/3KYDjKJany5HOEGpsTeLNi/086189db672a520641233250d0e2656c/Screenshot_2023-08-09_at_13.27.53.png)
(source: [AWS](https://aws.amazon.com/devops/what-is-devops/#:~:text=DevOps%20is%20the%20combination%20of,development%20and%20infrastructure%20management%20processes.))

To quote AWS's Model definition directly, it is the combination of practices and tools that increase an organization's ability to deliver applications and services at high velocity: evolving and improving products faster than companies using traditional software development and infrastructure management. This speed enables organizations to serve customers better and compete more effectively in the market.

## DevOps vs. DaaS

In that regard, the traditional DevOps Model applies to mostly in-house infrastructure management. This means hiring and managing a dedicated team, purchasing and setting up servers, and configuring everything from the ground up to meet one's business needs.

On the other side, DaaS is mainly cloud-based, with many possible layers of functionality, abstraction, and "ease of use" focus.

It integrates selected elements of DevOps tools into one comprehensive system to enhance collaboration, monitoring, management, and reporting. This service model contrasts with the in-house toolchain approach, where the DevOps team employs a disjointed set of individual tools.

DaaS is an attractive solution for businesses lacking in-house DevOps knowledge or the financial resources to train employees in these skills. It streamlines the intricate process of managing data and information flows throughout the chain. With this method, various members and teams participating in the process can use user-friendly interfaces to access necessary tools without the need for a complete understanding of the whole toolchain. For instance, using the same DevOps as a Service system, a developer can utilize source code management tools, a tester can access application performance management tools, and the IT operations team can implement changes using more top-level configuration management settings. This setup enables team-wide monitoring and reporting on activities.

Unlike traditional DevOps, DaaS focuses more on the end result and the complete process, from code compilation to production deployment.

## Popular DevOps service providers

### Amazon Web Services (AWS)

Amazon Web Services (AWS) has carved out a substantial space in this domain, building a robust global network for virtually hosting some of the world's most complex IT environments. Key to their suite are AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy - a trinity of services designed to manage continuous cloud delivery. These services offer accessible solutions that enable a secure, scalable, continuous delivery model in the cloud, making migration to the cloud a worthwhile consideration for many organizations.

Even more, many platforms competing for a slice of this market choose to integrate some AWS tools to offer their own packaged DevOps solutions.

### Google Cloud Platform (GCP)

Google Cloud Platform (GCP) also boasts a global network and an ever-growing list of capabilities. The StackDriver suite of development tools, GCP Deployment Manager, and GCP Cloud Console constitute a robust set of offerings to manage the cloud-based continuous delivery cycle. These tools and the platform's ability to support complete cloud development solutions for various platforms make GCP a strong contender in the DevOps sphere.

### Microsoft Azure

Microsoft's Azure enters the scene with various interoperable tools to manage the cloud environment. As a cloud management platform, Azure offers a complete set of tools such as Azure App Service, Azure DevTest Labs, and Azure Stack. With a long-standing presence in the IT industry, Azure may offer the most seamless transition to hybrid or full cloud environments for organizations already using Microsoft products and services.

### Digital Ocean

Digital Ocean is another platform that we at Lexis Solutions use quite often. They offer a more "lean" approach with configurable and optimized out-of-the-box tools for quick time-to-market needs. Their App Platform is convenient for deploying web services from a GitHub repository while offering scalability and load-balancing solutions. Their ecosystem has grown continuously in the last few years while offering competitive pricing, a combination ideal for start-up caliber projects.

Since July this year, we have also officially partnered with Digital Ocean, which grants our clients [$200 credit for usage](https://m.do.co/c/3bf6bdecf36f).

## Different varieties of DaaS

One thing to note is that DaaS may refer to a broader range of possible services. On the one hand, there are platforms like the ones described in the previous section. On the other - IT teams that offer DevOps services and know-how, including in-house integrations. Teams may even partner with a platform for more complete and flexible solutions. 

As mentioned earlier, we have an established partnership with Digital Ocean at Lexis Solutions and have successfully set up environments for multiple clients there. Although we are not letting ourselves be limited to a single provider. 

For example, there have been client specifications that required us to integrate with specific third-party APIs. The App Platform that Digital Ocean offers makes it relatively easy to deploy production-ready software on  quick notice. The main drawback there, however, is a lack of a static IP address of the environment due to how the continuous delivery is implemented on their side. This limitation meant that the third party's API couldn't whitelist our setup for authorization, so we had to consider other options.

Examples such as these illustrate limitations that some packaged solutions may have, but also how turning to a team might save extra effort and costs by tailoring for the specific case.

## DaaS considerations

The general speed from software implementation to production deployment is the main benefit and potential cost-saving from not relying on an internal DevOps team. This is, of course, of significant importance to emerging businesses and startups. However, one may also encounter challenges later down the road.

First, there might be security risks if the DaaS provider fails to adhere to security protocols. Next to consider is the limited control over one's setup - platforms may encapsulate their services, allowing for partial control only. 

In conclusion, a mixed approach between an automated cloud setup and hiring an IT team for consulting is the best of both worlds. Either part-time or for an extended period, an external team could guide you and help with unforeseen challenges later down the road of your business growth. 


DevOps as a Service is an emerging philosophy that aims to assist application development by further expanding upon automation practices.

The Emergence of DevOps-as-a-Service

Over the past year, here at Lexis Solutions, we have been growing our offerings in the custom data solutions space. Having worked on numerous initiatives, we've expanded into data integrations, data acquisition, data aggregation, and sentiment analysis to achieve our clients' diverse needs. In this article, we’ll look at one of the core data services we provide - data enrichment.

## What is Data Enrichment?

Data enrichment refers to enhancing existing data by adding valuable and relevant information. The goal is to enrich the data, making it more comprehensive, accurate, and actionable.

Data enrichment involves various techniques and methodologies, such as appending missing information, standardizing data formats, validating data accuracy, and integrating multiple data sources. This process results in a more complete and valuable dataset that can deliver significant insights.

Data enrichment involves augmenting existing data with additional information from external sources. This includes demographic details, geographic information, firmographics, social media data, purchasing behavior patterns, etc. By adding these extra dimensions to the data, businesses gain a more comprehensive understanding of their customers, allowing them to tailor their strategies, improve customer experiences, and drive growth.

For example, a retail company may enrich customer data by integrating social media. By analyzing customers' social media activity, the company can gain insights into their interests, preferences, and influencers they follow. This information can then be used to create personalized marketing campaigns, recommend products that align with customers' interests, and build stronger relationships.

Data enrichment is not limited to customer data. A manufacturing company may enrich its product data by appending detailed specifications, images, and customer reviews. This enriched product data can be used to improve inventory management, optimize pricing strategies, and enhance the customer experience.

## The Importance of Data Enrichment in Today's Business Landscape

In the digital age, businesses are generating vast amounts of data. However, more than raw data is needed to extract meaningful insights. With proper enrichment, companies can make decisions based on complete or updated information, hindering their growth potential.

Data enrichment plays a crucial role in ensuring data quality. By cleansing and enriching data, businesses can minimize inaccuracies and inconsistencies arising from human errors, data entry mistakes, or outdated information. Clean and reliable data is the foundation for practical analysis and decision-making.

Furthermore, data enrichment enables businesses to unlock the true power of business intelligence. Companies can gain deeper insights into market trends, customer preferences, and emerging opportunities by integrating external data sources and enriching internal datasets. This valuable intelligence can drive marketing strategies, optimize operations, and foster innovation.

Moreover, data enrichment facilitates better decision-making. Enriched data provides a holistic view of customers, allowing businesses to personalize their offerings, anticipate customer needs, and provide tailored experiences. This level of understanding empowers organizations to make data-driven decisions that boost customer satisfaction, enhance their competitive edge, and drive revenue growth.

Data enrichment is an ongoing process. As new data becomes available and business needs evolve, organizations must enrich their datasets to stay ahead of the competition continuously. By investing in data enrichment, businesses can unlock the full potential of their data and gain a competitive advantage in today's data-driven business landscape.

## Data Enrichment Services Use Cases

### Enhancing Data Quality

Data enrichment services are instrumental in enhancing data quality. Data cleaning processes rectify duplicate entries, inaccurate information, and inconsistencies. By standardizing data formats and validating data accuracy, businesses can ensure their data is reliable and consistent, enabling more accurate analysis and decision-making.

Retail companies collect customer data through various channels, including online purchases, in-store transactions, and loyalty programs. With data enrichment services, this company may end up with multiple entries for the customer, making it easier to analyze behavior. The company can identify duplicate entries by utilizing data enrichment services and creating a comprehensive profile for each customer. This improves data quality and provides a holistic view of customer interactions and preferences.

In addition to eliminating duplicate entries, data enrichment services can rectify inaccurate information. For instance, if a customer's address is misspelled or incomplete, data enrichment services can validate and correct the address based on reliable sources, such as postal databases. This ensures the company has accurate and up-to-date customer information, crucial for effective communication and personalized marketing efforts.

### Boosting Business Intelligence

Data enrichment services play a crucial role in boosting business intelligence capabilities. Businesses can enrich their internal data by integrating external data sources, such as market research reports, social media insights, and public databases, creating a comprehensive view of their industry, target market, and customers.

Imagine a technology company that wants to launch a new product in a specific market segment. The company can better analyze market research reports, industry trends, and competitor data by leveraging data enrichment services to understand the target market's needs and preferences. This enriched intelligence allows the company to tailor its product features, pricing, and marketing strategies to align with the market's demands, increasing the chances of success.

In addition to external data sources, data enrichment services can leverage social media insights to provide valuable information about customer sentiment, preferences, and behavior. By analyzing social media conversations and trends, businesses can identify emerging opportunities, monitor brand reputation, and engage with customers in a more targeted and personalized manner.

### Facilitating Better Decision Making

Data enrichment services facilitate better decision-making by giving businesses a deeper understanding of their customers and target market. With enriched data, companies can segment customers more effectively, identify their unique needs, and develop personalized marketing strategies.

Let's consider an e-commerce company that sells a wide range of products. The company can analyze customer purchase history, browsing behavior, and demographic information by utilizing data enrichment services to create customer segments based on preferences and interests. This segmentation allows the company to tailor its product recommendations, promotional offers, and marketing campaigns to each customer segment, resulting in higher customer satisfaction and conversion rates.

Furthermore, data enrichment services enable businesses to track and analyze customer interactions across multiple touchpoints, such as website visits, email communications, and social media engagements. This comprehensive view of customer interactions helps businesses identify patterns, preferences, and pain points, allowing them to make data-driven decisions that align with customer expectations and drive business growth.

## Key Components of Data Enrichment Services

### Data Cleaning

Data cleaning is a fundamental feature of data enrichment services. It involves identifying and rectifying errors, inconsistencies, and inaccuracies within datasets. Businesses can improve data quality and reliability by removing duplicate entries, standardizing data formats, and validating data accuracy.

### Data Integration

Data integration is another essential aspect of data enrichment services. It involves consolidating data from multiple internal and external sources to create a comprehensive, unified dataset. By integrating data silos, businesses can gain a holistic view of their operations, customers, and market, facilitating more accurate analysis and decision-making.

### Data Validation

Data validation is an integral part of data enrichment services. It involves verifying the accuracy, completeness, and consistency of data. By running validation checks, businesses can ensure that their data is reliable and error-free, enabling confident decision-making based on accurate information.

## Choosing the Right Data Enrichment Service Provider

When selecting a data enrichment service provider, several factors should be considered. 

Firstly, consider the provider's experience and expertise in data enrichment. Look for a provider that offers a wide range of enrichment techniques and has a proven track record of delivering high-quality results. Some good places to check for reputation are [Clutch](https://clutch.co/profile/lexis-solutions) and [LinkedIn](https://www.linkedin.com/company/lexis-solutions).

Secondly, consider the provider's data sources and data coverage. Ensure that the service provider has access to diverse and reliable data sources covering various aspects relevant to your business. It’s best if the provider has partnerships with data acquisition platforms to give you guidance and discounts on your usage, such as our partnership with [Apify](https://www.apify.com/?fpr=zia2s).

Thirdly, consider the scalability and flexibility of the provider's solutions. As your business grows, your data needs may evolve. Choose a provider that can accommodate changing data requirements and scale their services accordingly. Usually, small companies can offer greater flexibility and better pricing.

In conclusion, data enrichment services hold immense potential for businesses looking to unlock the power of their data. By understanding the concept of data enrichment, exploring its importance in today's business landscape, and recognizing its key features and benefits, businesses can make informed decisions to leverage data enrichment services effectively. By choosing the right data enrichment service provider and learning from success stories through case studies, companies can harness the power of data enrichment to drive growth, enhance customer experiences, and stay ahead in today's competitive business environment.


Diving into data enrichment as a service, why it’s important, and how it drives business growth by unlocking the full potential of their data.

Data Enrichment Services for B2B: Maximizing the Value of Your Data

Lexis Solutions has already opened the treasure of [resources](https://www.lexis.solutions/blog/free-resources-for-resourceful-UI-designers), [tools](https://www.lexis.solutions/blog/powerful-and-free-tools-for-content-creation), and [extensions](https://www.lexis.solutions/blog/7-google-chrome-extensions-for-higher-productivity) designed to streamline your workflow and make it easier to get the job done in a flash. However, today we're going to dive deeper and take a closer look at all of the mentioned, specifically focusing on those created through artificial intelligence technology.

In the first chapter of this article, we will explore instruments for crafting videos, writing, and images.

## Video creation

### Make-a-Video

[Make-a-Video](https://makeavideo.studio/) by Meta is an AI system that enables you to create videos by simply typing in text. The videos are automatically generated based on your input, ready to be shared online or downloaded. This exciting AI video generator is not yet available to the public, but it's poised to be a game-changer for content creators shortly.

### Face Swap

Bring your photos to life with [Face Swap](https://apps.apple.com/us/app/reface-face-swap-videos/id1488782587), a mobile app that lets you swap faces with friends and celebrities or insert your face into pre-made videos. Using face swap technology, you can use your camera to change looks in real-time. The app also offers a range of filters, GIFs, and funny videos.

### Nova A.I.

Say hello to effortless video organization with [Nova A.I.](https://wearenova.ai/) This powerful tool uses AI to recognize and tag different elements in your videos, including faces, expressions, objects, activities, and celebrities. 

### Runway

Gone are the days of tedious and time-consuming video editing. With [Runway](https://runwayml.com/), editing and enhancing your videos is a breeze; no technical skills or expensive software is required. Remove backgrounds, paint out objects, add subtitles, and more with ease. 

### Synthesia

[Synthesia](https://www.synthesia.io/) is paving the way in AI video generation, offering a user-friendly platform where you can create videos featuring human presenters by simply typing in your text. With a selection of 65+ AI avatars, each based on real actors, you can have your words spoken in 60+ languages. 

### Unscreen

Say goodbye to manual pixel picking and color selection with [Unscreen](https://www.unscreen.com/), the AI-powered solution for removing backgrounds from your videos. Its advanced AI technology detects even the most minor details, resulting in super accurate results. 

## Images 

### DALL-E

[DALL-E 2](https://openai.com/dall-e-2/), the AI-powered image generator by OpenAI, definitely casts a spell on the art world. An astronaut launching his first startup? A frog writing an article for its blog? Write down your wildest dream and watch it come to life before your eyes! DALL-E 2 makes it all possible with just a touch of magic and a text dash.

### Artbreeder

[Artbreeder](https://www.artbreeder.com/) offers a double dose of creativity with "Collager" and "Splicer." Draw simple shapes and describe your vision with "Collager," or blend and edit images with "Splicer." Upload up to 3 images for free, though keep in mind that original processing images may take up to an hour.

### Stable Diffusion

[Stable Diffusion](https://huggingface.co/spaces/stabilityai/stable-diffusion) also follows in DALL-E 2's footsteps, turning text descriptions into stunning images and modifying existing ones quickly. Just bring your imagination and let the words flow! Give it a try for free; no credit card is required.

### This beach does not exist

Take a swim in the ocean today! Dive into the unknown with A[I-generated beaches](https://thisbeachdoesnotexist.com/) that tantalize the imagination! This cutting-edge model was trained with over 20,000 images of natural beaches, crafting brand-new, fantastical scenes with each creation. So why not pack your virtual bags and explore some of the most breathtaking beaches that never were? 

### Fotor

[Fotor](https://www.fotor.com/features/ai-image-generator/), a globally renowned online photo editor boasting millions of users, has made a splash with its latest AI-powered image generator. The possibilities are endless, from photorealistic faces to dynamic anime characters, dreamy paintings, and digital art of any style.

And the best part? It's completely free! 

### The Next Rembrandt

[The Next Rembrandt](https://www.nextrembrandt.com/) brings the Dutch master's brush strokes back to life. By merging cutting-edge 3D printing and artificial intelligence, this project creates a new painting so similar to Rembrandt's original style that it has been plucked right out of history. This endeavor aims to demonstrate how artificial intelligence can be a tool for artistic expression and how technology could recreate history. 

## Writing

### [ChatGPT](https://www.lexis.solutions/blog/chatgpt-the-new-content-creator-or-ultimate-cheating-tool)

Who has yet to hear about [ChatGPT](https://chat.openai.com/chat), the talkative AI companion created by OpenAI? This cutting-edge chatbot burst onto the scene in November 2022 and has been making waves ever since. There are even entire companies that specialize in prompt engineering like [Promptly Engineering](https://promptly.engineering). Its user-friendly interface functions just like any other chatbot, ready to answer all your questions with a simple prompt. And it is entirely free to use!

### Shortly

Are you stuck in a writing rut? Don't let the blank page get the best of you. Introducing [Shortly](https://www.shortlyai.com/) - the writing companion powered by GPT-3. Its cutting-edge technology not only completes your writing but can also help you refine, condense or expand your sentences with ease. Say goodbye to writer's block and hello to endless creative flow.

### Copy.ai

Marketers, rejoice! Whether you're crafting emails, product descriptions, Instagram captions, button copy, or ads, [Copy.ai](https://www.copy.ai/tools) has covered you. Select your desired copy type, input some data, and select the tone that best fits your brand. In a matter of seconds, the AI will produce several copy variations for you to choose from.

### Rytr

[Rytr](https://rytr.me/?via=renaissancerachel)'s AI algorithms are sharp and well-versed, honed by historical data to craft unique and engaging articles with a perfect sense of tone and grammar. No matter the topic or niche, Rytr has you covered. Whether you're writing about sports, business, technology, or even crafting a blog post or review, Rytr has the expertise to make it happen.

### Surfer

With [Surfer](https://surferseo.com/?fpr=rachel25), you can elevate your SEO game by creating content that engages your audience and ranks high in Google. This tool offers everything you need to create SEO-friendly content, from finding content ideas to formatting your content. The document editor in Surfer allows for seamless integration into your website's CMS without messy reformatting. Its content editor has all the necessary HTML tags, so you only need to format your content once.

### AI Writer

[AI Writer](https://ai-writer.com/?via=renaissancerachel) is a cutting-edge AI copywriting platform that provides content creators with a powerful writing assistant. This tool is designed to generate high-quality content at scale, including articles, blog posts, and more. With the latest AI writing models, AI Writer can craft articles from scratch that are accurate and relevant to your target audience's needs. Whether you need content for your blog or multiple pieces for your company, AI Writer has you covered a wide range of topics and niche markets.


Lexis Solutions explores some of the most exciting AI-powered tools for video creation, image generation, and writing assistance.

From the front lines