Serverless vs. Containers: Which One To Choose?

What are Containers?

Working of Containers

What is Serverless?

Benefits of Containers

  • Containers are the best option if you need complete environmental control. Containers enable you to choose a root operating system, run software written in any language, and have complete control over the software and its dependencies. This makes it easier to move legacy applications to a container model.
  • To get the best value from containerization, you need to run in a microservices paradigm. Split your application into distinct, self-contained services, each of which can be deployed as a container, and use a container orchestrator like Kubernetes to manage the cluster.
  • Kubernetes has several valuable features, including auto-scaling, fault tolerance, storage, and networking management.
  • Container orchestrators are challenging to set up and utilize, requiring specialist knowledge. Managing an extensive containerized application is a full-time job or multiple full-time occupations. Furthermore, expenditures can easily spiral out of control, especially when using the public cloud.

Use Cases

  • Microservices architecture is built on the foundation of containers. Containers are ideal for constructing loosely linked microservices since they are portable, lightweight, and simple to deploy.
  • DevOps teams can use containers to remove environment variances across development, testing, staging, and production deployments. As a result, they’re ideal for CI/CD workflows.
  • The majority of current businesses work in hybrid and multi-cloud setups. Containers can execute applications on-premises or across several clouds, which is ideal for organizations.
  • Legacy monolithic apps must frequently be converted to the cloud. This is made easier by containerizing them.

Benefits of Serverless

  • If you need to execute relatively simple processing on streams of events, serverless is the way to go. It is simple to set up, even on a big scale, and you only pay for the time your serverless functions are in use. It is even better if the event source is a service hosted by the same cloud provider.
  • There is no infrastructure to manage, unlike containerization. It would be best to be concerned about your code and its value to your company.
  • However, there are certain restrictions in terms of vendor support and ecosystem dependencies. The programming languages and runtime environments that the serverless provider supports are limited, and there are a few ways to get past these limits.
  • It is challenging to monitor and visualize how apps perform due to the infrastructure’s high abstraction. Like any other application, serverless apps have performance and stability concerns, and debugging and resolving these issues can be far more complex, putting production deployments at risk.

Use Cases

  • REST APIs and GraphQL implementations, for example, are common serverless computing use cases. Serverless provides a strong framework for building API backends because API transactions are short-lived and can scale up and down fast.
  • Serverless computing is ideal for teams handling and analyzing large amounts of data but not wanting to deal with infrastructure.
  • Serverless computing allows IoT devices and external systems to communicate asynchronously in an event-driven and simple manner.
  • Adding dynamic content and logic to static webpages is one of the textbook functions of serverless. AWS Lambda, for example, is frequently used to add dynamic functionality to a static S3 site.

Drawbacks in Serverless and Containers

v Containers

v Serverless

Differences Between Serverless Computing and Containers

  • Scalability
  • Cost
  • Maintenance
  • Testing

How Should Developers Choose Between Serverless Architecture and Containers?

In the Spirit of 2022

Conclusion

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