Data Structures for High Resolution, Real-time Telemetry at Scale

The challenge within telemetry in real-time systems is that you need as many sources of telemetry as possible (Throughput, latency, Errors, CPU, and many more… ) but you can’t pay for extra overhead when our users are expecting sub-ms ops that scale to millions of transactions per second.
In this talk, we’ll describe how we’re using and improving several OSS data structures to incorporate telemetry features at scale, and showcase why they do matter on scenarios in which we have Performance/Security/Ops issues.

19 Minutes
Filipe Oliveira

Filipe Oliveira, Performance Engineer at Redis

Filipe Oliveira is a Performance Engineer at Redis, working on both the enterprise and the open-source products as part of the CTO research group. Before Redis, he worked both on a large scale retail company and as Grid and Distributed Computing Researcher recurring to advanced computing infrastructures listed in the TOP500 supercomputers list.

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