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Decisions about AWS Lambda and MongoDB Stitch
Tim Nolet
CTO at Checkly · | 15 upvotes · 282.3K views
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
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Learn MorePros of AWS Lambda
Pros of MongoDB Stitch
Pros of AWS Lambda
- No infrastructure128
- Cheap82
- Quick69
- Stateless58
- No deploy, no server, great sleep47
- AWS Lambda went down taking many sites with it11
- Event Driven Governance6
- Easy to deploy6
- Extensive API6
- Auto scale and cost effective6
- VPC Support5
- Integrated with various AWS services3
Pros of MongoDB Stitch
- Static Hosting2
- Serverless1
- Best integration with MongoDB (Atlas)1
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Cons of AWS Lambda
Cons of MongoDB Stitch
Cons of AWS Lambda
- Cant execute ruby or go6
- Compute time limited2
- Can't execute PHP w/o significant effort0
Cons of MongoDB Stitch
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What is AWS Lambda?
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
What is MongoDB Stitch?
MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.
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What companies use AWS Lambda?
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What companies use MongoDB Stitch?
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What tools integrate with AWS Lambda?
What tools integrate with MongoDB Stitch?
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What are some alternatives to AWS Lambda and MongoDB Stitch?
Serverless
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Azure Functions
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
AWS Step Functions
AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.