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jayant kumar
jayant kumar

jayant kumar

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From Scaling Slack’s Job Queue by Slack Engineering

Heartbeat canaries: To ensure that the new system worked end-to-end for 50 Redis clusters and 1600 Kafka partitions (50 topics × 32 partitions), we enqueued heartbeat canaries for every Kafka partition every minute. We then monitored and alerted on the end-to-end flow and timing for these heartbeat canaries.

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Need faster code? Try Multithreading

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50+ Data Structure and Algorithms Interview Questions for Programmers

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How to build your own Neural Network from scratch in Python

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