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AWS Lambda vs Sequelize: What are the differences?
Introduction:
AWS Lambda and Sequelize are two popular technologies used in cloud computing and database management. Here are the key differences between AWS Lambda and Sequelize:
1. **Execution Environment**:
AWS Lambda is a serverless computing service that allows developers to run code without provisioning or managing servers. On the other hand, Sequelize is an ORM (Object-Relational Mapping) that simplifies database interactions by mapping database rows to objects in Javascript.
2. **Scaling**:
AWS Lambda automatically scales based on the incoming traffic, allowing high availability and performance without manual intervention. In contrast, Sequelize does not have built-in auto-scaling capabilities, and developers need to manage the scaling of database resources manually.
3. **Pricing Model**:
AWS Lambda follows a pay-as-you-go model, where you only pay for the actual compute time consumed by your code. Sequelize, being an open-source library, is free to use but may involve costs related to managing the underlying database services.
4. **Functionality**:
AWS Lambda is primarily used for event-driven and serverless applications, where code is executed in response to specific triggers. Sequelize, on the other hand, focuses on data modeling and querying in relational databases, enhancing the development of database-driven applications.
5. **Vendor Lock-in**:
Using AWS Lambda ties you to the AWS ecosystem, making it difficult to migrate to other cloud providers. Sequelize, as an ORM, offers more flexibility in terms of database choices, allowing developers to switch between different databases without much hassle.
6. **Community Support**:
AWS Lambda has a large and active community that provides resources, tutorials, and support for developers. Sequelize also has a strong community backing but might not be as extensive as that of AWS Lambda due to the specialized nature of ORM tools.
In Summary, AWS Lambda and Sequelize differ in their execution environment, scaling capabilities, pricing models, functionality, vendor lock-in, and community support.
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.
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 Sequelize
- Good ORM for node.js42
- Easy setup31
- Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite21
- Open source14
- Free13
- Promise Based12
- Recommend for mongoose users4
- Typescript3
- Atrocious documentation, buggy, issues closed by bots3
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Cons of AWS Lambda
- Cant execute ruby or go7
- Compute time limited3
- Can't execute PHP w/o significant effort1
Cons of Sequelize
- Docs are awful30
- Relations can be confusing10