Summary of Distributed Job Scheduler Design Deep Dive with Google SWE! | Systems Design Interview Question 25

00:00:00 - 00:15:00

The video explains how to design a distributed job scheduler, with considerations for how to handle failed jobs. The design includes a database, a reverse proxy, and a zookeeper server. The video also explains how to ensure that each job is only run once by using distributed locking.

• 00:00:00 Jordan describes the design of a distributed job scheduler, focusing on the functional requirements and the API. He explains that the system will need to be able to schedule jobs, verify job status, and store job binaries.
• 00:05:00 The video describes how a distributed job scheduler should be designed, with special considerations for jobs that have failed. The design includes a database and a reverse proxy to handle incoming requests.
• 00:10:00 The video explains how a distributed job scheduler works, with each node running a subset of the jobs. If one node goes down, the jobs are retried on another node. If a consumer node goes down, the jobs are retried on the zookeeper server.
• 00:15:00 The distributed job scheduler design deep dive video shows how Google SWE ensures that every job runs only once by using distributed locking and how to implement a schedule that amortizes the computation of running jobs.