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Azure Functions

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Sequelize

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Azure Functions vs Sequelize: What are the differences?

  1. Performance: Azure Functions provide a serverless compute service that scales based on demand, allowing for better performance handling fluctuating workloads. Sequelize, on the other hand, is an ORM (Object-Relational Mapping) library for Node.js that assists in interacting with databases, offering more control over performance optimizations at the application level.

  2. Function Type: Azure Functions are event-driven, allowing developers to define specific functions to trigger based on events. Sequelize, however, focuses on data modeling and querying, enabling structured interactions with databases through model definitions.

  3. Scalability: Azure Functions automatically scale based on incoming events or requests, ensuring high availability and scalability without manual intervention. Sequelize's scalability relies on the underlying database system and data modeling strategies chosen by the developer.

  4. Cost Structure: Azure Functions operate on a consumption-based billing model, where you only pay for the resources consumed by your functions. Sequelize is open-source and typically does not incur direct costs, aside from potential database hosting expenses.

  5. Supported Integrations: Azure Functions seamlessly integrate with other Azure services and third-party tools, offering a wide range of capabilities and extensibility options. Sequelize primarily focuses on database integrations and offers compatibility with various SQL and NoSQL databases.

  6. Development Flexibility: Azure Functions enable rapid development of small, focused functions that can be independently deployed and managed. Sequelize, as an ORM, provides a structured approach to database interactions but may require additional configuration for complex data models or queries.

In Summary, Azure Functions excel in serverless event-driven computing with flexible scalability, cost-efficient billing, and seamless integrations, while Sequelize offers robust data modeling capabilities and fine-grained control over database interactions.

Advice on Azure Functions and Sequelize

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!

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Replies (2)
Anis Zehani

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

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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.

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Pros of Azure Functions
Pros of Sequelize
  • 14
    Pay only when invoked
  • 11
    Great developer experience for C#
  • 9
    Multiple languages supported
  • 7
    Great debugging support
  • 5
    Can be used as lightweight https service
  • 4
    Easy scalability
  • 3
    WebHooks
  • 3
    Costo
  • 2
    Event driven
  • 2
    Azure component events for Storage, services etc
  • 2
    Poor developer experience for C#
  • 42
    Good ORM for node.js
  • 31
    Easy setup
  • 21
    Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
  • 14
    Open source
  • 13
    Free
  • 11
    Promise Based
  • 4
    Recommend for mongoose users
  • 3
    Typescript
  • 3
    Atrocious documentation, buggy, issues closed by bots

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Cons of Azure Functions
Cons of Sequelize
  • 1
    No persistent (writable) file system available
  • 1
    Poor support for Linux environments
  • 1
    Sporadic server & language runtime issues
  • 1
    Not suited for long-running applications
  • 30
    Docs are awful
  • 10
    Relations can be confusing

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- No public GitHub repository available -

What is 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.

What is Sequelize?

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

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What companies use Azure Functions?
What companies use Sequelize?
See which teams inside your own company are using Azure Functions or Sequelize.
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What tools integrate with Azure Functions?
What tools integrate with Sequelize?

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What are some alternatives to Azure Functions and Sequelize?
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.
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
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.
Google Cloud Functions
Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
Apex
Apex is a small tool for deploying and managing AWS Lambda functions. With shims for languages not yet supported by Lambda, you can use Golang out of the box.
See all alternatives