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AWS Lambda vs Twilio Functions: What are the differences?
Programming Languages: AWS Lambda supports multiple programming languages such as Node.js, Python, Java, and C#, while Twilio Functions only supports Node.js. This difference gives developers more flexibility in choosing their preferred programming language for building serverless applications.
Environment Configuration: AWS Lambda allows you to configure the underlying environment with resources like memory allocation and timeout settings. In contrast, Twilio Functions have a predefined environment setup, providing a more streamlined approach without the need for extensive configuration.
Integration with Other Services: AWS Lambda seamlessly integrates with various AWS services, allowing developers to leverage a wide range of tools and resources within the AWS ecosystem. Twilio Functions, on the other hand, are specifically designed for integrating with Twilio's communication services, offering deep integration capabilities with Twilio APIs.
Pricing Structure: AWS Lambda pricing is based on the number of requests and the compute time used, with a free tier available for new users. Twilio Functions pricing is integrated with the overall usage of Twilio services, offering a unified billing experience for developers using Twilio's communication platform.
Deployment Options: AWS Lambda provides the flexibility to deploy functions using the AWS Management Console, AWS CLI, or SDKs, enabling automated deployment pipelines. Twilio Functions are deployed directly through the Twilio Console, simplifying the deployment process within the Twilio platform.
Execution Context: AWS Lambda allows you to specify custom configurations for the execution context, including environment variables and permission settings, providing more control over the runtime environment. Twilio Functions have a simplified execution context, focusing on the main function logic without extensive customization options.
In Summary, AWS Lambda offers a wider range of supported programming languages, advanced environment configuration options, and integration with AWS services, while Twilio Functions provide a streamlined development experience with a focus on Node.js, tight integration with Twilio APIs, and unified pricing with Twilio services.
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 — 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 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 Twilio Functions
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Cons of AWS Lambda
- Cant execute ruby or go7
- Compute time limited3
- Can't execute PHP w/o significant effort1