Serverless: A Double-Edged Sword for Microservices

What is Serverless and should you use it when building microservices?

3 Min Read

Serverless represents a paradigm shift in cloud computing that can significantly streamline the development process. In the realm of microservices, it offers a unique set of benefits as well as challenges. Let's dive into the nitty-gritty of serverless computing and its role in microservices.

Unpacking Serverless Computing

The essence of serverless computing lies in offloading server and infrastructure management tasks to the cloud provider, allowing developers to focus solely on writing code. It shines in its automatic scaling abilities, adapting seamlessly to incoming traffic patterns. Moreover, its pricing model charges only for actual compute time, a budget-friendly approach when dealing with sporadic or low-volume workloads.

Serverless in a Microservices World

Applying serverless computing to microservices yields intriguing synergies. It ensures that each service scales individually based on demand and reduces the need for in-depth infrastructure management. Moreover, the ability to quickly deploy and update functions augments the speed of delivering enhancements and bug fixes.

Pros and Cons of a Serverless Approach

Despite its numerous advantages, serverless computing isn't without its challenges. Here's a brief rundown of the pros and cons to consider when thinking about adopting a serverless approach for your microservices.


  • Zero Server Management: Eliminating the need to maintain servers allows your team to focus on application logic, reducing the time to market.
  • Auto-Scaling: Responds efficiently to fluctuating demand, scaling individual services as required.
  • Pay for What You Use: The pricing model of serverless platforms means you only get billed for actual compute time used.


  • Cold Starts: One of the most talked-about drawbacks of serverless computing is the latency incurred when a function is invoked after being idle, often referred to as a 'cold start'.
  • Application Complexity: While serverless abstracts away much of the infrastructure complexity, it introduces its own complexity at the application level, such as state management and function orchestration.
  • Vendor Lock-in: Each cloud provider's serverless implementation is different, making it challenging to move functions between platforms.

Serverless Platforms for Microservices

A variety of serverless computing offerings exist in the market, each with its unique features:

  • AWS Lambda: The pioneer in serverless computing, Lambda offers a robust platform for executing your code with zero server management.
  • Google Cloud Functions: Google's answer to serverless computing, allowing developers to react to events in the cloud environment without managing servers.
  • Azure Functions: Microsoft's contribution to the serverless world, Azure Functions emphasizes seamless application building and deployment without infrastructure worries.

While serverless offers compelling advantages for microservices, it's important to be aware of its challenges. The choice to use serverless should be guided by your project's specific needs, your team's capabilities, and the readiness to manage the application-level complexity introduced by a serverless architecture.

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