Need advice about which tool to choose?Ask the StackShare community!
AWS Lambda vs Chalice: What are the differences?
AWS Lambda and Chalice are both services provided by Amazon Web Services (AWS) for serverless computing. While they have similarities, there are several key differences between the two.
Pricing and Usage: One key difference between AWS Lambda and Chalice is the pricing model and usage. AWS Lambda charges by the number of requests, the duration of execution, and the memory allocated. Chalice, on the other hand, is a framework that allows developers to build serverless applications on AWS Lambda, and it does not have its own pricing model. The cost of using Chalice is based on the resources consumed by the underlying Lambda functions.
Deployment and Configuration: Another difference is the deployment and configuration process. With AWS Lambda, developers need to manually create and configure the Lambda functions, set up triggers, and manage the deployment process. Chalice simplifies this process by providing a command-line interface (CLI) to deploy and manage serverless applications. It automatically sets up the necessary resources and handles the deployment process.
Supported Languages: AWS Lambda supports a variety of programming languages, including Node.js, Python, Java, and C#. Chalice, on the other hand, is specifically designed for Python applications. It provides a Pythonic API for building serverless applications, making it easier for Python developers to work with.
Scaling and Performance: AWS Lambda automatically scales the execution environment based on the incoming requests, allowing applications to handle large workloads efficiently. Chalice leverages the scaling capabilities of AWS Lambda, so it benefits from the same scalability. However, Chalice also provides additional features, such as automatic HTTP session management and content negotiation, which can enhance the performance of serverless applications.
Development and Debugging: In terms of development and debugging, AWS Lambda provides tools and features that can help developers test and troubleshoot their functions. Chalice, as a framework, provides additional capabilities for local testing and debugging. It allows developers to run serverless applications locally, making it easier to identify and fix issues during the development process.
Flexibility and Customization: While AWS Lambda provides a wide range of features and options for building serverless applications, Chalice offers a higher level of abstraction and simplifies the development process. Chalice provides a set of predefined routes and handlers, making it easier to build RESTful APIs. However, this level of abstraction may limit the flexibility and customization options available to developers.
In summary, AWS Lambda is a serverless compute service provided by AWS, while Chalice is a Python framework for building serverless applications on AWS Lambda. The key differences between the two include pricing and usage models, deployment and configuration processes, supported languages, scaling and performance capabilities, development and debugging tools, and flexibility and customization options.
Need advice on what platform, systems and tools to use.
Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.
We are open to either build it on AWS or on Microsoft Azure.
Apologies if I'm leaving out some info. My first post. :) Thanks in advance!
I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).
You pay less money, but u need some technical 2 - 3 guys to make that done.
Good luck
My advice will be Front end: React Backend: Language: Java, Kotlin. Database: SQL: Postgres, MySQL, Aurora NOSQL: Mongo db. Caching: Redis. Public : Spring Webflux for async public facing operation. Admin api: Spring boot, Hibrernate, Rest API. Build Container image. Kuberenetes: AWS EKS, AWS ECS, Google GKE. Use Jenkins for CI/CD pipeline. Buddy works is good for AWS. Static content: Host on AWS S3 bucket, Use Cloudfront or Cloudflare as CDN.
Serverless Solution: Api gateway Lambda, Serveless Aurora (SQL). AWS S3 bucket.
Netlfiy Functions uses AWS Lambda under the hood, but Netlify adds some nice sugar. The biggest advantage is the local development experience with netlify-cli. This allows you to run your functions locally with local configuration or pull configs from the Netlify dashboard. I built a health-check endpoint in about 2 minutes, and my send-email function in less than an hour.
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 β way too much complexity
- Managed Kubernetes in various flavors β still too much complexity
- Zeit β Maybe, but no Docker support
- Elastic Beanstalk β 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 π€
- Ops Experience / OX π (?)
- Cost π΅
- Lock in π
Read the full post linked below for all details
Pros of AWS Lambda
- No infrastructure129
- Cheap83
- Quick70
- Stateless59
- No deploy, no server, great sleep47
- AWS Lambda went down taking many sites with it12
- Event Driven Governance6
- Extensive API6
- Auto scale and cost effective6
- Easy to deploy6
- VPC Support5
- Integrated with various AWS services3
Pros of Chalice
Sign up to add or upvote prosMake informed product decisions
Cons of AWS Lambda
- Cant execute ruby or go7
- Compute time limited3
- Can't execute PHP w/o significant effort1
Cons of Chalice
Sign up to add or upvote consMake informed product decisions
What is AWS Lambda?
What is Chalice?
Need advice about which tool to choose?Ask the StackShare community!
What companies use Chalice?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with AWS Lambda?
What tools integrate with Chalice?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+47
+43
+26
+23+42