- HR:+91-879-9184-787
- Sales:+91-908-163-7774
Serverless architecture is a modern approach to building and running applications without managing server infrastructure. In this paradigm, cloud providers automatically allocate, scale, and manage the infrastructure needed to execute application code, allowing developers to focus solely on writing business logic.
Despite the term “serverless,” servers are still involved; developers just don’t need to handle provisioning, scaling, or maintenance. This model is heavily event-driven and commonly used in modern cloud-native applications.
Serverless architecture is a computing model where cloud providers dynamically manage the allocation and provisioning of servers. The backend runs on third-party services, and applications are broken into functions that execute in stateless containers.
This dynamic provisioning is what makes serverless so cost-effective and scalable.
You may also want to know User Retention
| Platform | Description |
| AWS Lambda | Pioneer in FaaS; supports Node.js, Python, Java, Go, etc. |
| Azure Functions | Integrates tightly with Microsoft Azure services. |
| Google Cloud Functions | Offers seamless integration with Firebase and Google APIs. |
| IBM Cloud Functions | Based on Apache OpenWhisk. |
| OpenFaaS | Open-source platform to deploy serverless on Kubernetes. |
| Feature | Serverless | Traditional |
| Server Management | Cloud-managed | Developer-managed |
| Scaling | Auto-scaling | Manual or semi-automated |
| Cost Model | Pay-per-use | Pay for provisioned capacity |
| Setup Time | Minimal | High |
| Performance Tuning | Platform-optimized | Developer-optimized |
You may also want to know UDID (Unique Device Identifier)
Serverless architecture is revolutionizing the way modern IT systems are designed and deployed. By abstracting infrastructure management, it empowers developers to focus entirely on code and functionality. The result is faster development cycles, reduced costs, and scalable, responsive applications that can dynamically adapt to user demands.
Despite its challenges, such as cold starts, vendor lock-in, and limited execution times, the benefits of serverless are compelling for businesses aiming for agility and growth. It’s particularly effective in microservices-based systems, real-time event processing, and highly dynamic user-facing applications.
As cloud platforms continue to evolve and tools mature, serverless will become an even more integral part of IT architectures. Organizations that strategically adopt serverless principles are likely to see gains in both innovation speed and operational efficiency.
A cloud computing model where the cloud provider manages infrastructure and scales functions automatically.
No, servers are still used, but they are abstracted from developers.
AWS Lambda, Google Cloud Functions, Azure Functions, and IBM Cloud Functions.
Function-as-a-Service is a core serverless concept where code is run in response to events.
Auto-scaling, cost efficiency, faster deployment, and no infrastructure management.
Cold starts happen when a function is invoked after being idle, leading to delayed startup.
Yes, serverless is ideal for building scalable and event-driven APIs.
Yes, including data leaks, function-level permissions, and dependency vulnerabilities.
Copyright 2009-2025
