Backend Development Curriculum

Backend development involves building and maintaining the server-side of a web application. It involves a wide range of skills and technologies, including programming languages, databases, data structures, design patterns, and deployment strategies.

Here is a list of some common topics that may be included in a backend curriculum:

• Programming languages: Golang is a popular choice for backend development due to its performance and scalability. It is important to understand concepts such as interfaces, pointers, and unit testing in order to write efficient and reliable code in Golang.
• Concurrency: Concurrency is the ability to run multiple tasks simultaneously. In backend development, this can involve using threads, goroutines, and channels to manage concurrent processes. It is also important to understand concepts such as mutexes, race conditions, and deadlocks in order to avoid common pitfalls when working with concurrency.
• Data structures: Data structures are used to store and organize data in an efficient manner. Some common data structures used in backend development include hashmaps, sets, priority queues, and trees.
• Design patterns: Design patterns are reusable solutions to common programming problems. Some design patterns that are commonly used in backend development include builder, dependency injection, template pattern, middleware, adapter, prototype, proxy, composite, command, and observer.
• Databases: Databases are used to store and retrieve data for a web application. Some common database technologies used in backend development include MySQL, Redis, and Big Query. It is important to understand concepts such as B-Trees, indexing, the CAP theorem, and table normalization in order to design efficient and scalable database systems.
• APIs: APIs (Application Programming Interfaces) are used to communicate between different software systems. Some common API technologies used in backend development include REST APIs and gRPC. It is important to understand tools such as Postman and BloomRPC in order to test and debug API systems.
• Scaling: As web applications grow, they may need to be scaled in order to handle increased traffic and data. This can involve strategies such as vertical scaling (adding more resources to a single server) or horizontal scaling (adding more servers). Microservices and containerization technologies such as Docker and Kubernetes can also be used to enable scaling.
• Deployment: Once a web application is developed, it must be deployed in order to be accessed by users. This can involve using Platform-as-a-Service (PaaS) providers such as Heroku or Infrastructure-as-a-Service (IaaS) providers such as Google Cloud Platform.
• DevOps: DevOps is the practice of combining development and operations in order to deliver software more efficiently. Tools such as Istio, Kibana, and Grafana can be used to enable observability, logging, and monitoring in a backend system.
• Security: Backend systems must be secure in order to protect sensitive data and prevent attacks. This can involve implementing authentication, authorization, and protection against vulnerabilities such as CSRF, XSS, and race conditions. It is also important to understand basic Linux security and Docker container security in order to secure backend systems.

Here a more:

Golang

Concurency

• Threads
• Goroutine
• Channel
• Mutex
• Race Condition
• Deadlock
• Delayed Job

 

Data structure

• Hashmap
• Set
• Priority Queue
• Adjacent List
• Tree

 

Design pattern

• Builder
• Dependency Injection
• Template Pattern
• Middleware
• Adapter
• Prototype
• Proxy
• Composite
• Command
• Observer

 

Database

• BTree
• Indexing
• CAP Theorem
• DB Transaction
• Table Normalization
• MySQL
• Redis
• Big Query

 

Api

• REST API
• gRPC
• Postman
• BloomRPC

 

Scalling

• Vertical vs Horizontal Scaling
• Microservice
• Docker
• Kubernetes

 

Kubernetes

• Docker Compose
• Pod
• Deployment
• Service
• Load Balancer

 

Deployment

• PaaS (Heroku)
• IaaS (Google Cloud Platform)

 

DevOps

• Observability: Istio
• Logging: Kibana
• Monitoring: Grafana

 

Security

• Authentication
• Authorization
• CSRF
• XSS
• Validation
• Encryption
• Password
• Race Condition
• Linux Basic Security
• Docker Container Security