serverless computing

1,4m+

High
scalability

2000+

High
scalability

serverless computing ?

Serverless computing is a cloud computing model where the provider manages the infrastructure, allowing users to write and deploy code without handling server management. Users are billed based on their actual usage of computing resources, rather than for reserved server capacity. This model automatically scales to meet demand and charges only for the resources consumed during code execution.

Cost efficiency
0%
Scalability
0%
Simple management
0%

Here are the answers you are looking for

High durability

Serverless platforms offer a high degree of reliability as they are operated in different regions and infrastructures.

Cost efficiency

As the costs for serverless are calculated according to the resources used, users only pay for the resources they use.

Fast deployment

Serverless kann schnell implementiert werden und ermöglicht eine schnellere Bereitstellung von Anwendungen.

You can find the desired solution here

Serverless computing is particularly preferred in scenarios such as microservice architectures, event-driven processing and rapid prototyping. Leading cloud providers offer serverless platforms such as Amazon Web Services (AWS) Lambda, Microsoft Azure Functions and Google Cloud Functions.

Scalability

Serverless enables developers to scale their applications quickly.

Technology independence

Serverless offers developers the flexibility to use different languages and technologies.

No maintenance

In contrast to conventional server-based infrastructures, the serverless approach requires no server maintenance or updating.

What are Backend Services?

Backend services refer to the server-side components of an application that manage the core functionality and business logic. These services handle tasks such as data storage, retrieval, processing, and management, operating behind the scenes to ensure the application runs smoothly and efficiently. Backend services typically include:

  • Databases: Store and manage application data, such as user profiles, transaction records, and other critical information.
  • APIs (Application Programming Interfaces): Allow different parts of the application or different applications to communicate and exchange data.
  • Server Logic: Executes business rules and processes data according to the application’s requirements.
  • Authentication: Manages user identity and access control.
  • Data Processing: Handles operations such as data validation, transformations, and computations.

Frontend

  • Definition: The frontend is the client-side part of the application that users interact with directly. It encompasses everything users see and experience, including the user interface (UI) and user experience (UX) elements.
  • Responsibilities: Displays data, accepts user input, and handles interactions. It includes visual components such as text, images, buttons, forms, and other elements.
  • Technologies: HTML, CSS, JavaScript, and frontend frameworks (e.g., React, Angular, Vue.js).
  • Example: On a ticket-selling website, the frontend includes the layout where users search for concerts, view results, and fill out purchase forms.

Backend

  • Definition: The backend is the server-side part of the application that users do not see. It is responsible for managing the application’s data, performing complex computations, and handling requests from the frontend.
  • Responsibilities: Processes business logic, interacts with databases, manages user authentication, and handles data storage and retrieval. It sends data to and receives data from the frontend.
  • Technologies: Server-side languages (e.g., Python, Java, Node.js), databases (e.g., MySQL, MongoDB), and backend frameworks (e.g., Express.js, Django, Spring).
  • Example: On the same ticket-selling website, the backend processes user requests to search for concerts, checks availability, and manages transactions. It handles communication with the database and sends the necessary data back to the frontend for display.

Advantages of Serverless Computing

Lower Costs

Serverless computing is cost-effective because you pay only for the actual compute time and resources used. Traditional cloud computing often involves paying for allocated resources, which may include unused or idle server time. In contrast, serverless architecture eliminates the need for provisioning and managing servers, leading to cost savings as you are charged only for the execution time of your functions.

Simplified Scalability

With serverless computing, scaling is managed automatically by the service provider. Developers do not need to configure scaling policies or handle infrastructure scaling manually. The serverless provider automatically adjusts resources based on demand, ensuring that your application can handle varying loads without any manual intervention.

Simplified Backend Code

Serverless computing, particularly Function as a Service (FaaS), allows developers to create small, modular functions that perform specific tasks, such as processing data or making API calls. This modular approach simplifies backend code, as each function focuses on a single purpose and can be developed, tested, and deployed independently.

Quicker Turnaround

Serverless architecture accelerates the development and deployment process. Developers can quickly roll out bug fixes, updates, and new features without needing complex deployment processes. Functions can be updated or added individually, allowing for more agile development and faster time to market.

Services

  • Cloud Services

  • Software Engineering

  • Data Solutions

  • IT Security

  • Marketing

  • ERP Solutions

Contact Us

Our Partners

© 2024 DARKSN Strategic IT-Solutions. All rights reserved.

13. September 2024