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AWS Firecracker vs Serverless: What are the differences?
## Introduction
This markdown provides a comparison between AWS Firecracker and Serverless focusing on key differences between the two technologies.
1. **Execution Environment**: AWS Firecracker provides a lightweight virtual machine monitor, allowing for fast boot times and a minimal attack surface compared to traditional virtual machines. On the other hand, Serverless abstracts the infrastructure management entirely, enabling developers to focus on code without worrying about servers, scaling, or maintenance.
2. **Resource Utilization**: AWS Firecracker enables users to run container workloads efficiently with minimal overhead, making it suitable for scenarios requiring a high degree of isolation. In contrast, Serverless automatically scales resources up or down based on demand, optimizing cost efficiency by charging only for resources consumed during execution.
3. **Cold Start Performance**: AWS Firecracker offers improved cold start performance for containers by reducing the time needed to launch and execute workloads. Serverless, while also designed for rapid scaling and execution, may experience slightly longer cold start times due to container initialization and scaling mechanisms.
4. **Flexibility**: AWS Firecracker provides users with more control over the underlying infrastructure, allowing for customized configurations and bespoke setups to optimize performance. In comparison, Serverless abstracts infrastructure details, offering a quick and easy way to deploy applications without the need for manual configuration or management.
5. **Integration with Ecosystem**: AWS Firecracker integrates seamlessly with the broader AWS ecosystem, enabling users to leverage existing services and resources for enhanced functionality. Serverless, while offering integrations with various cloud providers and services, may require additional configurations or adaptations to work optimally within specific cloud environments.
6. **Deployment Model**: AWS Firecracker is typically used for container-based applications that require a lightweight and secure virtualization environment. In contrast, Serverless is ideal for event-driven applications and microservices, allowing developers to focus on writing code without the need to manage underlying infrastructure.
In Summary, the key differences between AWS Firecracker and Serverless lie in their execution environments, resource utilization, cold start performance, flexibility, integration with ecosystems, and deployment models.
When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:
- Developer Experience trumps everything.
- AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
- If you need geographic spread, AWS is lonely at the top.
Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:
- Pure, uncut, self hosted Kubernetes — way too much complexity
- Managed Kubernetes in various flavors — still too much complexity
- Zeit — Maybe, but no Docker support
- Elastic Beanstalk — Maybe, bit old but does the job
- Heroku
- Lambda
It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?
I chopped that question up into the following categories:
- Developer Experience / DX 🤓
- Ops Experience / OX 🐂 (?)
- Cost 💵
- Lock in 🔐
Read the full post linked below for all details
Pros of AWS Firecracker
Pros of Serverless
- API integration14
- Supports cloud functions for Google, Azure, and IBM7
- Lower cost3
- 3. Simplified Management for developers to focus on cod1
- Auto scale1
- 5. Built-in Redundancy and Availability:1
- Openwhisk1