Episode 1: Ingesting and Querying a Petabyte of Log Data in Real Time

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Presented by

Todd Person, CEO and Co-Founder, Era Software; Tim Ebbers, Head of Solutions Engineering, Era Software

About this talk

The Era Software engineers host a live stream of our performance benchmarks where we ingest and query a petabyte of log data cost-effectively. In the first episode of our live stream, we go over the architecture and configuration needed to ingest and query a petabyte of log data. We start the data ingestion and run initial performance benchmarks.
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This channel is for modern IT organizations (DevOps/ITOps, SRE, platform engineering, apps, infra, and devs) who wish to ingest, store and analyze massive amounts of log data but cannot due to high cost or engineering toil. Lower visibility coverage leads to operational, reliability, and business risks. EraSearch observability and analytics platform provides low-cost, high-scale, and real-time log management for modern IT teams, helping eliminate engineering toil and unifying all data silos. EraSearch is built on top of the transformative EraDB database architecture. It is based on object storage, the next generation of storage technology that is a low-cost, limitlessly scalable, perfectly elastic data store that eliminates the toil of managing volumes of data.