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Serverless vs Zappa: What are the differences?
Serverless and Zappa are both frameworks used for deploying serverless applications. However, there are several key differences between the two:
Deployment Procedure: One major difference between Serverless and Zappa is the deployment procedure. Serverless framework deploys applications using cloud providers like AWS Lambda, Azure Functions, and Google Cloud Functions. On the other hand, Zappa specifically focuses on deploying to AWS Lambda and relies on AWS API Gateway for routing requests.
Language Support: Serverless framework supports multiple programming languages, including JavaScript, Python, Java, C#, and more. This allows developers to choose the language they are most comfortable with. In contrast, Zappa focuses primarily on Python, making it a more suitable choice for Python developers.
Flexibility: Serverless framework provides more flexibility when it comes to configuring and customizing deployment settings. It offers various options for managing resources, environment variables, and event triggers. Zappa, on the other hand, abstracts away most of the configuration details and provides a simpler, more opinionated approach to deployment.
Community and Ecosystem: Serverless framework has a larger and more active community compared to Zappa. This means there are more resources, tutorials, and plugins available for developers. Zappa, being a more specialized framework, has a smaller community but still has a dedicated user base.
Integration with Other Services: Serverless framework integrates easily with many other cloud services and tools, such as AWS DynamoDB, S3, and API Gateway. Zappa, while primarily focused on AWS Lambda, also offers integration with some AWS services but may not have the same breadth of integrations as Serverless framework.
Maturity and Stability: Serverless framework is a more mature and stable platform compared to Zappa. It has been around for a longer time and has a large user base, making it a reliable choice for production deployments. Zappa, although stable, is relatively newer and may have fewer updates and bug fixes compared to Serverless framework.
In Summary, Serverless framework offers more deployment options, language support, and flexibility, with a larger community and extensive integrations. Zappa, on the other hand, specializes in Python deployment on AWS Lambda, providing a simpler and more opinionated approach.
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 Serverless
- API integration14
- Supports cloud functions for Google, Azure, and IBM7
- Lower cost3
- Auto scale1
- Openwhisk1
Pros of Zappa
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What is Serverless?
What is Zappa?
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What companies use Serverless?
What companies use Zappa?
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What tools integrate with Serverless?
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