Learn AWS REDIS in one day

👩🏻‍💻This is a lecture on learning expressjs in one day. You will definitely take the results with you, and the explanation will proceed with a logic-oriented visual sequence diagram rather than text.

For those who want to introduce OpenSearch and ElasticSearch to AWS services, we will show you quick results centered on AWS OpenSearch software.

A course that will teach you how to create a website with ChatGPT and take charge of its distribution! Learn even fine-tuning.

Provides tips for creating a resume that will stand out to interviewers. Provides guidelines for a good portfolio through job postings.

👩🏻‍💻 This is an AWS serverless course that you can learn in just one day. You can get your hands on actual CRUD REST API results and go back.

We provide specific methods and curriculum to prepare for employment as a backend developer. This is a continuously updated backend roadmap lecture.

We provide specific methods and curriculum for preparing the front-end. This is a lecture on the front-end roadmap that is continuously updated.

For those who want to introduce OpenSearch and ElasticSearch to AWS services, we will show you quick results centered on AWS OpenSearch software.

Redis is a fast and scalable open-source database. This technology is used to maximize performance in real-time applications, games, social media platforms, and more. However, to truly understand the power of Redis and use it effectively, you need a deep understanding. Now is your chance to learn Redis in a professional way. "Redis with Silicon Valley Engineers" covers a wide range of topics, from the core concepts of Redis to advanced features. This course is designed for everyone, from beginners who are new to Redis to advanced users.

I have created a course titled 'Introduction to Redis/Practical Application (Query Performance Optimization Edition)' that is easy for non-majors to understand and can be applied immediately in practice!

We will inform you about all the security aspects of migration using MySQL and direct operation of DB Server.

We will learn how to create a system to support large amounts of data and traffic by creating it directly with Spring Boot.

mongoDB, NoSQL You hear a lot these days, but is it still an unfamiliar database? Aren't you using it like a relational database (RDS/SQL)? No matter how good the technology is, if it's not used correctly, it will have the opposite effect. That's why we often see cases of failure in using MongoDB. This lecture will teach you everything from basic concepts to practical know-how so that you can use MongoDB as MongoDB-like as possible.

Many backend developers use Redis, but in reality, they often use it merely as a simple cache server. There are many cases where developers know the Redis data types but don't know how to apply them in practice, lack experience implementing real-world patterns like distributed locks or rate limiting, or fail to understand Redis from a backend architecture perspective. I also had the experience of pondering how to utilize Redis in a high-traffic environment while developing actual services. This is because knowing simple commands is entirely different from solving service problems with Redis. This course starts with the basic concepts and data structures of Redis and progresses through learning by implementing core patterns used in actual backend services step-by-step. In particular, you will learn how to solve the following practical problems using Redis: Caching (Cache-Aside) strategies to reduce server load, Distributed Sessions (Session Store) to share login states, Distributed Locks to solve concurrency issues, Rate Limiting to prevent API overload, and Real-time Ranking Systems (Leaderboards) for large-scale users. All hands-on exercises are conducted in a real API server environment based on Python FastAPI. Rather than just learning simple CLI commands, you will understand how Redis is used in backend systems by implementing it yourself. Through this course, you will be able to utilize Redis not just as a simple cache, but as a core tool for designing backend architecture.