Core System Design Course Overview

Core System Design Course Overview

Embark on a transformative learning journey with our Core System Design course, tailored for IT professionals aiming to master system architecture. Over 2 days, delve deep into essential topics including system design fundamentals, efficient use of databases, advanced caching strategies, and managing asynchronous systems. Equip yourself to design robust resilient systems, understand consumer-facing platforms like e-commerce and social feeds, and tackle critical system utilities for real-world applications. Whether you're designing scalable databases or implementing fault-tolerant services, this course offers practical insights and hands-on experiences to elevate your system design capabilities and ensure you build efficient, scalable solutions.

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  • Live Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Koenig's Unique Offerings

Course Prerequisites

To ensure success in the Core System Design course offered by Koenig Solutions, prospective students should meet the following minimum prerequisites:


  • Understanding of Basic Programming: Familiarity with any programming language (e.g., Python, Java, C#, etc.) is essential as system design involves thinking through software architecture, which often requires some level of coding knowledge to fully grasp the concepts discussed.


  • Fundamental Knowledge of Databases: Students should have a basic understanding of what databases are and the differences between relational and non-relational databases. This will help in comprehending more advanced topics such as database isolation levels, sharding, and scaling.


  • Basic Experience with Systems Operations: Exposure to any form of system operations or IT infrastructure assists in understanding topics like caching, load balancing, and data redundancy.


  • Introductory Knowledge of Networks: A general awareness of networking principles, including client-server models and basic communication protocols, will be beneficial, particularly in discussions related to scalability and system communication.


By meeting these prerequisites, participants will be better prepared to absorb the course content, participate in discussions, and perform the hands-on activities that are part of the training. This foundational knowledge will facilitate a richer learning experience and enable a deeper understanding of complex system design principles covered in the course.


Target Audience for Core System Design

The Core System Design course at Koenig Solutions comprehensively covers essential system design topics, ideal for those in IT who aim to enhance or conceptualize robust systems.


Target Audience:


  • Software Architects
  • System Engineers
  • Database Administrators
  • Backend Developers
  • IT Project Managers
  • Data Scientists interested in system architecture
  • DevOps Engineers
  • Technical Managers
  • Professionals in IT infrastructure roles
  • Senior Developers transitioning into design roles


Learning Objectives - What you will Learn in this Core System Design?

Introduction to the Core System Design Course: In this 2-day course, participants will gain essential knowledge on designing scalable, resilient, and efficient systems, focusing on modern databases, caching techniques, asynchronous systems, and aspects related to critical infrastructure and consumer-facing applications.

Learning Objectives and Outcomes:

  • Understand the fundamentals of system design, including approaches and evaluation metrics for successful system architectures.
  • Explore and differentiate between relational and non-relational databases, understanding their appropriate application scenarios.
  • Learn database scaling techniques, including sharding and partitioning, to manage large datasets effectively.
  • Gain comprehensive insights into caching mechanisms to enhance system performance and scalability.
  • Acquire knowledge on asynchronous processing systems including message queues and stream processing with Kafka.
  • Design resilient systems capable of auto-recovery using load balancers, circuit breakers, and leader election techniques.
  • Understand and apply various essentials of scaling large systems, such as bloom filters, consistent hashing, and communication protocols.
  • Delve into the design and scalability of consumer-facing systems like e-commerce listings, social feeds, and notification systems.
  • Apply design principles to critical and utility systems, such as fraud detection systems, web crawlers, and API rate limiters.
  • Explore storage solutions and big data integration for handling extensive

Technical Topic Explanation

Critical system utilities

Critical system utilities are essential software tools in an IT infrastructure that ensure the stability and efficiency of computer systems. They help in monitoring system performance, managing resources, updating systems securely, and backing up data. Implementing secure system architecture and applying robust system design techniques as part of enterprise system design are critical for maintaining system integrity and preventing unauthorized access. Efficient critical system utilities support optimal performance and reliability of IT systems across large-scale and complex environments, making them indispensable in modern technology management.

System architecture

System architecture refers to the structured framework used to conceptualize, design, and integrate various components of a system. It encompasses system design basics and utilizes specific system design techniques to ensure functionality, performance, and security. Particularly, secure system architecture focuses on protecting systems from threats and vulnerabilities, critical for maintaining integrity and reliability. In the context of enterprise system design, the architecture must support large-scale operations and complex business processes, coordinating software, hardware, and network resources to achieve organizational objectives efficiently. This comprehensive planning is vital for creating and managing effective, scalable systems.

System design fundamentals

System design fundamentals involve planning and creating a framework for how a system operates and functions efficiently. It includes system design techniques such as defining hardware and software configurations, determining data flow pathways, and setting operating protocols. In secure system architecture, the focus is on constructing a system that guards against cybersecurity threats and ensures data integrity and privacy. Enterprise system design tailors these fundamentals to meet the complex scalability, reliability, and security needs of large organizations, integrating various applications and databases to support extensive operational demands.

Databases

Databases are structured systems where data is stored, managed, and retrieved efficiently. They support operations and management by serving as the backbone for collecting, storing, and analyzing data systematically. In enterprise system design, databases ensure that data integrity and security are maintained, enabling reliable data access and streamlining complex business processes. Effective system design techniques involve planning how data is organized, protected, and accessed within these databases, ensuring robust and secure system architecture. This forms the foundation of handling vast amounts of data crucial for business operations, strategic decision-making, and customer relationship management.

Caching

Caching is a technology that temporarily stores copies of files or data in a dedicated storage space to make future requests for that data faster. In system design, caching is crucial because it improves the efficiency of data retrieval, reducing the load on the primary storage and speeding up the overall system performance. This method is widely used in enterprise system design to ensure that frequently accessed data is available quickly and securely, enhancing user experience and system reliability without compromising secure system architecture. Using caching techniques optimally is a fundamental aspect of modern system design basics.

Asynchronous systems

Asynchronous systems are designed to operate without requiring all parts to proceed simultaneously. In such systems, processes run independently from one another, enabling more flexible, efficient operations and a design that can easily incorporate future updates or expansion—key considerations in enterprise system design. This method allows tasks to communicate through individual responses and states, rather than waiting for a sequential order. Implementing asynchronous systems facilitates secure system architecture by limiting points of failure and reducing bottlenecks, contributing to robust, scalable applications suited for modern, dynamic business environments. Ideal in distributed environments, these systems support better resource management and faster responsiveness.

Resilient systems

Resilient systems are designed to anticipate, withstand, and rebound from failures or disruptions, maintaining continuous operation. In creating a resilient system, secure system architecture is crucial, serving as the foundation that prevents vulnerabilities. System design basics, including redundancy, fault tolerance, and disaster recovery strategies, are employed to enhance robustness. System design techniques focus on defining clear requirements and employing test-driven development to ensure reliability. In enterprise system design, scalability and performance are also prioritized, allowing the system to handle growing workloads and mitigate potential risks effectively.

Consumer-facing platforms

Consumer-facing platforms are digital systems designed to interact directly with consumers. They enable businesses to offer services, gather feedback, and engage with their audience effectively. Key elements in building these platforms include secure system architecture to protect user data, and system design techniques that ensure user-friendly interfaces. System design basics are crucial for maintaining performance and reliability, especially in enterprise system design, where scale and integration with other business processes must be considered. These platforms are essential for companies aiming to provide excellent service and achieve customer satisfaction in a competitive market.

Target Audience for Core System Design

The Core System Design course at Koenig Solutions comprehensively covers essential system design topics, ideal for those in IT who aim to enhance or conceptualize robust systems.


Target Audience:


  • Software Architects
  • System Engineers
  • Database Administrators
  • Backend Developers
  • IT Project Managers
  • Data Scientists interested in system architecture
  • DevOps Engineers
  • Technical Managers
  • Professionals in IT infrastructure roles
  • Senior Developers transitioning into design roles


Learning Objectives - What you will Learn in this Core System Design?

Introduction to the Core System Design Course: In this 2-day course, participants will gain essential knowledge on designing scalable, resilient, and efficient systems, focusing on modern databases, caching techniques, asynchronous systems, and aspects related to critical infrastructure and consumer-facing applications.

Learning Objectives and Outcomes:

  • Understand the fundamentals of system design, including approaches and evaluation metrics for successful system architectures.
  • Explore and differentiate between relational and non-relational databases, understanding their appropriate application scenarios.
  • Learn database scaling techniques, including sharding and partitioning, to manage large datasets effectively.
  • Gain comprehensive insights into caching mechanisms to enhance system performance and scalability.
  • Acquire knowledge on asynchronous processing systems including message queues and stream processing with Kafka.
  • Design resilient systems capable of auto-recovery using load balancers, circuit breakers, and leader election techniques.
  • Understand and apply various essentials of scaling large systems, such as bloom filters, consistent hashing, and communication protocols.
  • Delve into the design and scalability of consumer-facing systems like e-commerce listings, social feeds, and notification systems.
  • Apply design principles to critical and utility systems, such as fraud detection systems, web crawlers, and API rate limiters.
  • Explore storage solutions and big data integration for handling extensive