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Integrations with OTLP are critical to driving adoption and probably one of the biggest pain points we've encountered when adopting it ourselves (and encouraging others to the same).

Adopting OTLP without third-party support is pretty time consuming, especially is your tech stack is large and/or varied.

Re runtimes: curious about this too. Feels like the right direction if you’re optimizing a telemetry pipeline.


Mostly aiming to share my anecdote about being too close to a problem for others to learn from, and to pitch - to validate the security thesis.


One of the biggest problem we hear about from CISOs is 'they don't know what they don't know' - meaning they need a way to catch all the data. This plays pretty directly into your comment - there's a need for wanting everything, but a penalty for having everything - slower queries, expensive, more false positives, slower time to resolution.

What's common as a middle ground is blob storage and rehydration - where you send everything into low cost storage like S3 while still peeling off the high value data into the SIEM / Datadog / etc. Then if you notice something is amiss, you can rehydrate the time window you care about.


Datable | Senior Software Engineer, Reliability | Bay Area (3 days hybrid) | Full-time | $160k-$220k + equity

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Our work is heavily based on best practices from OpenTelemetry and years of experience in the observability world. Our stack is primarily Typescript, React, NodeJS, Postgres, and AWS.

Email ben@gahlsdorftalent.com


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