20: Distributed Job Scheduler | Systems Design Interview Questions With Ex-Google SWE
Table of Contents
Title: Distributed Job Scheduler | Systems Design Interview Questions With Ex-Google SWE Channel: Jordan has no life Description: Apparently the DAG on slide 1 wasn't big enough for Kate to provide a summary overview of the video.
Tutorial: How to Design a Distributed Job Scheduler
Step 1: Understand the Basics Watch the video "Distributed Job Scheduler | Systems Design Interview Questions With Ex-Google SWE" by Jordan has no life to grasp the fundamentals of designing a distributed job scheduler.
Step 2: Define Requirements Identify the requirements for your distributed job scheduler. Consider factors like scalability, fault tolerance, and efficient task allocation.
Step 3: Choose a Scheduling Algorithm Select a suitable scheduling algorithm based on your requirements. Common algorithms include Round Robin, Least Loaded, and Fair-Share.
Step 4: Design the System Architecture Create a high-level design of your distributed job scheduler. Define components such as the Job Queue, Scheduler Nodes, and Worker Nodes.
Step 5: Handle Failures Implement fault tolerance mechanisms to handle failures in the system. Consider techniques like job replication and node monitoring.
Step 6: Optimize Task Allocation Optimize task allocation to ensure efficient resource utilization. Balance the workload among worker nodes to prevent bottlenecks.
Step 7: Test and Iterate Test your distributed job scheduler thoroughly to identify and fix any issues. Iterate on the design based on performance metrics and user feedback.
Step 8: Monitor and Scale Implement monitoring tools to track system performance and scalability. Scale the system horizontally by adding more worker nodes as needed.
By following these steps, you can design a robust and efficient distributed job scheduler for your system.