Enegel: Continuous CX Improvement Powered by Generative AI

The customer experience (CX) is important for businesses to succeed in today's digital world. A positive CX can lead to increased customer satisfaction and loyalty, while a poor CX can harm a business's reputation and financial performance. To ensure that services can handle expected and unexpected levels of traffic and interactions, businesses can use AI-powered CX testing to simulate real-world scenarios and user behaviors. This can provide insights into the performance and scalability of a service. Challenges that can impact CX include traffic peaks, the ability of a service to autoscale, and updates to a service. CX testing provided by Enegel can help businesses improve CX and avoid damaging their reputation.

CX is a key for Success ​

In today's digital world, customer experience (CX) is a crucial factor for businesses to succeed. A positive CX can lead to increased customer satisfaction, loyalty, and ultimately drive revenue growth. On the other hand, a poor CX can have the opposite effect and damage a business's reputation and bottom line.

One of the key challenges for businesses is ensuring that their services can handle the expected and unexpected levels of traffic and interactions. Sudden increases in the load on a service, unexpected spikes in interaction volume, or changes to a service that break it while it is under load can all significantly impact CX and ultimately damage a business.

CX Testing on a massive scale powered by AI can help businesses ensure that their services are able to handle the expected and unexpected levels of traffic and interactions. By simulating real-world scenarios and user behaviors, AI-powered CX testing can provide valuable insights into the performance and scalability of a service.

What are the challenges ? ​

Traffic Peaks ​

What happens when 10000 users start chatting at the same time?

When a large number of users start chatting at the same time, the load on the service increases significantly. This can lead to a number of issues, including slower response times, dropped interactions, and even service outages.

To test the performance of a service under such high levels of traffic, load testing can be used. Load testing involves sending a high volume of requests to the service to simulate a large number of users simultaneously accessing the service. This can help identify the breaking points of the service, where the performance starts to degrade and ultimately fail.

Autoscaling ​

How sure are you that your service will really autoscale when traffic peaks?

When a service is under a high level of load, it is essential that it is able to automatically scale to meet the increased demand. This is known as autoscaling. Autoscaling allows a service to dynamically add and remove resources, such as computing power, to handle the changing load on the service.

Implementing autoscaling, such as using the Horizontal Pod Autoscaler (HPA) in Kubernetes, is a good first step. However, it is important to verify that the autoscaling mechanism is working correctly and can handle the expected and unexpected traffic spikes.

To test the autoscaling capability of a service, stress testing can be used. Stress testing involves gradually increasing the load on the service to the point where it starts to break or fail. This can help identify the point at which the service starts to autoscale and how long it takes for the additional resources to become available.

Service Updates ​

Do you know what is really the impact when you make a change in your service?

Making changes to a service, such as adding new features or updating existing ones, can have a significant impact on the performance and stability of the service. It is important to test these changes under load to ensure that they do not cause any issues for users.

One way to test changes to a service is to use endurance testing. Endurance testing involves running the service under a high level of load for an extended period of time. This can help identify any issues that may arise as a result of the changes, such as users being kicked out, interactions being dropped, or sessions being terminated.

Enegel helps to ensure the best CX ​

CX Testing provided by Enegel can help businesses ensure that their services are able to handle the expected and unexpected levels of traffic and interactions. By simulating real-world scenarios and user behaviors, AI-powered CX testing can provide valuable insights into the performance and scalability of a service, helping businesses to improve CX and avoid damaging their reputation and bottom line.

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