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Milestone 4 (Part 1): Implementing OTLP HTTP Core in Heka Insights Agent (M4-1, M4-2)
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Milestone 4 (Part 1): Implementing OTLP HTTP Core in Heka Insights Agent (M4-1, M4-2)

DEV Community·Farhan Munir·about 1 month ago
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#run#python#devops#otlp#metrics#fullscreen
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Milestone 4 (Part 1): Implementing OTLP HTTP Core in Heka Insights Agent (M4-1, M4-2) Heka Insights Agent already had a canonical metrics pipeline from Milestone 3. In this part of Milestone 4, I implemented the OTLP HTTP core in two focused steps: M4-1 : Canonical metrics -> OTLP payload mapping layer M4-2 : OTLP HTTP request sender and exporter wiring This post covers only these two items. Auth headers, resource attributes, retry/compression controls are intentionally deferred to later M4 tasks. Why This Split Matters By separating mapping from transport, we get: stable internal metric model explicit OTLP payload construction transport logic that can evolve independently clean foundation for New Relic/Datadog-style OTLP integrations later What Was Implemented M4-1: OTLP Payload Mapping Layer I added a dedicated mapper that converts canonical metric records into OTLP HTTP JSON payloads.…

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