Veja como você pode dominar as habilidades essenciais para se tornar um desenvolvedor de back-end móvel.

1. Backend Language: Master Python. 2. Front-End Basics: Understand HTML, CSS, and JavaScript. 3. Backend Frameworks: Familiarize yourself with Express.js, Django, or Ruby on Rails. 4. React Native: Learn cross-platform mobile development. 5. VCS (Git): Proficiency in Git for code management. 6. Databases and APIs: Understand SQL and NoSQL. 7. Server Handling: Expertise in server management. 8. Problem-Solving: Cultivate efficient solutions. 9. Communication Skills: Collaborate effectively.

1 - Master at least one backend language: Python (Django, Flask), JavaScript (Node.js), Java (Spring), Ruby (Ruby on Rails), or PHP (Laravel). 2 - Understand frontend with HTML, CSS, and JavaScript 3 - Learn SQL and database management systems like MySQL, PostgreSQL, or Oracle. 4 - Gain Proficiency in API Development 5- Learn Server Management and Deployment 6 - Containers Learn Docker for containerisation and Kubernetes for orchestration. 7 - Master Version Control (GIT) Understand Git and how to use platforms like GitHub, GitLab, or Bitbucket 8 - Understand Auth and Security with Security Best Practices 9 - OAuth for secure access delegation and JWT for secure token-based auth. 10 - Gain Practical Experience & Build Projects

Antes de tentar aprender frameworks, padrões de projeto ou até mesmo arquiteturas, enriqueça seus fundamentos. Foque em uma linguagem, e desenvolva códigos de dificuldade gradativa, aprenda como a linguagem funciona, exercite sua lógica resolvendo problemas do dia a dia, e pratique bastante. Tenha os fundamentos sólidos nesse começo de carreira, ter bons fundamentos facilita muito quando chega o momento de trabalhar com frameworks, ou qualquer outro problema mais complexo. Após isso, trabalhe com um framework da linguagem que você escolheu, seguindo a mesma lógica. Entenda os fundamentos do framework, e pratique bastante. Estude os conceitos de API RESTful, conheça os verbos de requisições http, como funcionam e quando utilizar cada um.

To truly master software development, start by understanding the core programming language and its unique concepts, example JavaScript with it's async await. Grasp the fundamentals of object-oriented paradigms with their design patterns example ORMs and Singleton pattern, or functional programming with its data and procedure organization. By breaking down software into these basic components, you can demystify any framework you encounter. Mastering the basics enables you to decompose and understand complex systems, empowering you to tackle any project with confidence.

One of the principal skills that I always recommend to know its have aknowledges about object oriented programming, solution problems and software architecture, a backend language its neccesary too, but its not too important than them, you need to know how to requests API's, and later, how to generate some requester manager object, for improve your request, and as backend you need to define a standard of response of requests, like API REST, or simplement define always one type of response for every data that you return, that's because this is the most important for a fluent development in mobile and frontend development, can retrieve data and get away worries about how the data is coming back.

Aprender como funcionam os bancos de dados, e ter domínio deles é algo fundamental para qualquer desenvolvedor back-end. No dia a dia como desenvolvedor, realizo diversas queries em banco para confirmar diversas informações que são utilizadas no dia a dia, além de buscar qual o melhor caminho para realizar as tarefas diárias com maior desempenho possível, compreender o funcionamento dos bancos, e como deixá-los mais performáticos no contexto da sua aplicação, é uma habilidade essencial.

I recently learned about table partitioning in databases, the importance of indexes and materialized views—concepts I hadn't revisited since university. These are crucial for speeding up query performance for reports. Additionally, it's important to always paginate data (preferably on the server side)

70-90% of backend development involves databases. Understanding how to design and query databases will benefit you in the long run. ORMs simplify querying. Prefer using an ORM specialized for your database type,since each offers unique features. As MongoDB highlights, "Query optimization is more important than database normalization." Shape your database design around potential queries for faster performance, even if it means compromising on normalization. Use each type of database to its strengths.Don't apply what you know from one database to re-implement it on another. Relational and non-relational databases have distinct advantages. Tailor your approach to fit the specific database for optimal performance and efficiency.

Maybe one of the most important parts of mobile development is how we get persistence of data that we get from backend, and, depends on requirements how we save the data locally for use and prevent to do too many requests to backend, and just do only the necessary requests to improve the performance of our app, learn when using a sql or no-sql database is essential for this.

Having knowledge in one is okay I guess . Getting to know the differences and use cases of each type of database is something first to learn, like the basic

Tenha em mente que uma boa aplicação, depende de fortes métricas de segurança, caso contrário todo o esforço na criação da aplicação não terá sentido. Utilize de ferramentas consolidadas para garantir que sua aplicação tenha o nível de segurança adequado, para evitar ameaças como SQL Injection por exemplo. Utilize tokens JWT para login, para garantir maior segurança no processo. A segurança da sua aplicação é responsável por proteger dados sensíveis que seus usuários compartilham com você.

Even you need to learn to choice what type of authentication is better for your use case, sometimes we want to add a lot of security layers for improve our own authentication system that we forget user requirements, sometimes, we don't need an oauth, jwt or a complex authentication for our security layer, the most of time we can cover it when a simple authentication or bearer authentication, but we're lost in our idea that our system need to be most secure, that it don't let us continue to the next step

Focusing on security at the early staze of the applications is not good in any means. Not having proper knowledge about security can also leads to over engineering or re engineering. To solve this one, we should know when we need to add the security and when the security is ok for the application. No amount of security can stop a hacker if the application has loop holes

Atualmente, é imprescindível conhecer serviços em nuvem. AWS, Azure, Google Cloud, Heroku, são exemplos de serviços que possuem um alto número de aplicações hospedadas ao redor do mundo. Compreender esse tipo de serviço, permite que você possa implementar aplicações de alto tráfego e escaláveis sem se preocupar com muitas complicações advindas de infraestrutura.

Optimizing API Response Times with Amazon SQS and AWS Lambda. To boost your API performance, integrate Amazon SQS and AWS Lambda to handle tasks that don’t need immediate responses. Use SQS to queue these tasks, allowing your API to focus on delivering faster responses without being delayed by background processing. With SQS, tasks are handled asynchronously, meaning they won't interrupt the API's response cycle. AWS Lambda functions can be set to trigger automatically upon new messages in SQS, processing tasks in the background. This setup reduces immediate API workload, ensuring quicker response times and a smoother user experience. Both SQS and Lambda scale to meet your needs, and improve overall system performance.

DevOps is something you didn't know you needed until you tried it. Remember the age-old meme, "It worked on my machine"? DevOps can solve this by using CI/CD and Docker. Picture this: you're fixing a bug but lack the necessary configurations on your system. You rely on a test server, but triggering tests with each commit is a hassle. CI/CD can help by setting up a trigger for commits to a specific branch, automating your tests and making your life easier. If CI/CD isn't your cup of tea, you can use Docker to run everything locally. Docker effectively clones your system to any deployable server, eliminating configuration issues and ensuring consistent environments. Embrace DevOps to streamline your workflow and enhance productivity.

Considere práticas de integração de DevOps na construção das suas aplicações. Conhecer Docker, Jenkins, por exemplo é algo fundamental na criação de aplicações modernas e de alto nível. Manter aplicações em contêineres, pode facilitar e muito o processo de deploy em várias plataformas de computação em nuvem como a AWS por exemplo. Conhecer e saber utilizar o Git, é algo essencial. É importante saber versionar aplicações, e compartilhar o desenvolvimento das mesmas com todo o time de desenvolvimento.

During API development, prioritize optimizing your queries. First, assess how efficiently you can design your query process. Determine if you need multiple queries or if a single query can accomplish the task. If possible, aim to use a single query. Explore different methods for writing the query, as sometimes a query can be executed in various ways. Identify the most efficient approach to ensure optimal performance. This strategy helps in minimizing resource use and improving response times, leading to a more efficient and scalable API.

It is very important to be aware that not always the latest technology or the most popular technology is the best option to solve a particular problem. it is always necessary to understand the needs of the company and the resources that the company can provide, it is always better to have this as the first approach to making decisions about using any technology instead of another. Also be aware of managing implementations following clean code patterns to make the project more scalable

Always focus on DRY principle. If you don’t, making changes later will require updates across all instances where the code is duplicated. Identify common functionalities and place them in a shared "common" or "utils" folder. This practice ensures that your code is more maintainable and consistent. By centralizing reusable code, you reduce redundancy and minimize the risk of errors, making it easier to implement changes and improvements efficiently.