Master Event-Driven Systems with Golang & Kafka: Build Scalable Microservices

Systematically learn the internal structure and operating principles of Apache Kafka, a core technology for real-time data streaming. From basic concepts to cluster construction, client development, and microservices application, you will acquire all the practical knowledge and know-how necessary to build the capability for stable Kafka operations.

You will learn how to write queries against large amounts of data using MongoDB.

[Engineering Organizational Strategy and Individual Competency Roadmap through 'The Great Rewiring'] 1. Introduction: 'The Great Rewiring' and the Shift in Organizational Paradigms Modern enterprises are facing an unprecedented technological turning point known as 'The Great Rewiring,' the initial phase of Artificial Intelligence (AI) adoption. This is defined as a complex task that goes beyond the simple introduction of unit technologies or partial task automation; it requires a fundamental reconfiguration of the structural blueprint of the organization as a massive system. Despite the supply of high-efficiency power sources in the form of Generative AI, many organizations are experiencing performance degradation and system instability due to structural inertia. Analysis suggests this phenomenon occurs because, while the power output has been strengthened, the redesign of processes and structures to control that energy and convert it into meaningful business outcomes has not followed. This course aims to present an in-depth architectural design strategy to evolve organizations into sophisticated organic systems. 2. [Diagnosis] Analysis of Three Major Structural Defects in the AI Adoption Phase ① Chassis Collapse (Lack of Rigidity in Organizational Substructure) When a high-performance power source like AI is installed while maintaining a rigid vertical hierarchy, the existing structure fails to accommodate the accelerated information throughput and decision-making speed. This is an organizational dysfunction caused by a decision-making system that cannot keep pace with technological deployment, which is highly likely to lead to the physical collapse of leadership authority and management systems. ② Jagged Frontier (Misjudgment of Performance Boundaries and Reduced System Reliability) This problem arises from indiscriminately deploying Generative AI—a probabilistic reasoning mechanism—to tasks that require strict deterministic logic. Overlooking the probabilistic nature of AI in areas where mathematical precision or legal compliance is essential leads to 'System Knocking,' where overall system reliability drops sharply, causing significant tangible and intangible asset losses to the organization. ③ NVH: Noise, Vibration, Harshness (Neglect of Cognitive Friction and Psychological Instability) Just as mechanical vibration and noise increase system fatigue, widespread job insecurity and ambiguous job guidelines within an organization accelerate the cognitive load of members to a critical point. Organizations that fail to properly control this psychological NVH (Noise, Vibration, Harshness) may face a crisis of internal self-destruction due to discord between components, despite the introduction of intelligent systems. 3. [Individual Competency] Evolution from Passive Compliance to Sovereign Architect Individual members in the AI era must move away from the status of 'Passive Sheep' dependent on technology and be reborn as 'Existential Architects' who deconstruct and rewire systems. ① Recovery of Intellectual Sovereignty and Escaping Slave Morality Uncritically accepting AI outputs and entirely delegating analytical processes to machines leads to 'Cognitive Offloading,' which eventually causes the degeneration of the Executive Control Network. One must reject the position of the 'Good Sheep' who settles for technological convenience and awaken as a 'Sovereign' subject capable of expressing critical anger toward system absurdities and technical debt. ② Designing 'Intentional Friction' for Cognitive Plasticity Individual members must resist the seamless answers provided by AI and design intentional 'Cognitive Friction' into their work processes. By utilizing AI not as a simple answer generator but as an adversarial partner that stimulates and deepens human thought, one must maintain brain neuroplasticity and strengthen intellectual muscle. ③ AI Command Capability: S.E.E.D Prompt Architecture Beyond simple queries, the ability to design logical interfaces that AI can process is essential. S.E.E.D Framework: Cultivate the capability as a 'Director' to precisely control AI by systematically structuring Situation, Expectation, Engineering Structure, and Data. 4. [Methodology] Organizational Innovation Strategy through Building a Cognitive Powertrain ① Cognitive Powertrain (Dual Engine Architecture Design) Optimize the system by clearly decoupling the organization's cognitive processes into predictive and generative models. Predictive AI: Ensures system stability by taking full charge of precise logical systems and quantitative analysis tasks. Generative AI: Provides innovative momentum by handling creative synthesis and context generation tasks. ② Golden Pattern (Intelligent Collaboration Protocol based on Reliability Engineering) Systematize the collaboration process between humans and AI to control Hallucination risks. Serial Process Optimization: Establish standard operating procedures consisting of Generative AI information processing, human logical filtering, and re-optimized output. Human-Centric Gatekeeper Capability: Maintain technical alignment by ensuring humans hold the sovereign position to direct the system's orientation and perform final decision-making. ③ Application of Behavioral Software Engineering An engineering approach is needed where both leaders and members can actively mitigate emotional resistance and cognitive load. Strategic Design of Ethical Latency: Insert intentional review stages to ensure the race for technological adoption does not lead to ethical bankruptcy. Transparent Feedback Loops: Maximize organizational transparency by embedding feedback mechanisms to minimize mutual trust costs. 5. Conclusion: Securing Future Competitiveness through Sovereign Architecture This masterclass avoids abstract discourse and translates 40 years of engineering insight gained from tuning massive systems into the business language of the AI era. Will you remain a 'Good Sheep' slowly degenerating while submerged in structural inertia and technological convenience, or will you become an 'Existential Architect' who sees through the illusions of the system and proactively rewires it? We will help you redesign the architecture of your organization and yourself through a precise cognitive partnership, enabling you to fully control the powerful engine of AI and drive sustainable growth.

"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.

Beginner's Kafka & Spark Real-time Pipeline Course. All-in-one: Master concepts to architecture.

We have gathered Apache Kafka application programming knowledge used in real environments! We will take a look at and practice various functions of Apache Kafka that are key to building data pipelines.

You can quickly experience the process of deploying a sample e-commerce service to AWS and continuously improving it into a robust and efficient environment.

From the core concepts and infrastructure setup of Kafka, Hadoop, Spark, and Airflow to hands-on practice with Java and Python, as well as building production-level pipelines in an AWS environment.

Learn the process of converting an existing legacy monolithic system to a microservice architecture through hands-on training. You will also receive code reviews from knowledge sharers up to two times!

Learn the SAGA transaction management technique for maintaining data consistency in distributed environments through a hands-on approach. You will configure three microservices using Spring Boot and Docker, and implement both Orchestration and Choreography patterns using Kafka and MySQL. Through this course, you will master core concepts applicable to real-world scenarios, including the operational principles of distributed transactions, designing compensating transactions, and handling fault recovery.

How does the architecture change when an LLM is integrated into an existing backend? This is an introductory system design course that goes beyond simple LLM API calls to help you understand core AI service components such as Model Routers, LLM Gateways, and Vector DBs, and step-by-step design an operational AI service architecture including RAG and AI Agents. It is designed to help those who want to create their own LLM-based AI services quickly master the design workflow.

I recommend this lecture to anyone who wants to gain insight into a hot topic in the DevOps field called Observability, which is based on log analysis and inter-service correlation analysis on microservices.

Drawing from my own experience of feeling despondent when trying to implement practical code during my first MSA transition—despite knowing the theory—I will help you grow into a developer who guarantees perfect data consistency amidst any system failure by directly rolling back daunting compensation logic through 9-step practical patterns and AI Agent coding.

In the software system design course taught by Silicon Valley engineers, you will learn the design principles and architectural patterns of large-scale systems and how to build stable and scalable software solutions. In addition, you will cover performance optimization and fault response strategies through practical cases.

This is a text-based course that conducts mock interviews based on your résumé.

Kotlin mastery via virtual payment server course.

Beyond the basics of API design, CRUD implementation, and JWT authentication, all the way to backend architecture design! This is an introductory system design course to help you create 'your own backend architecture' so you can confidently discuss design experience in interviews.

Learn the basic, essential, and practical knowledge of Kafka that software developers need to know. We will integrate Kafka using Spring Boot and conduct hands-on exercises for sending and receiving messages tailored to various real-world scenarios.

IntelliJ IDEA Conf 2025 is an annual online conference hosted by JetBrains that provides valuable sessions for Java and Kotlin developers. It covers various topics including AI adoption, Spring Boot, Gradle, Kafka, database management, and also shares insights on cloud integration, secure coding, developer performance improvement, and advanced development techniques. This conference is open to both professional and beginner developers, offering opportunities to explore the latest technologies along with productivity tips for writing high-quality code faster.