Observed Signal · Jul 26, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Application Performance Monitoring (APM) Market: Observable AI Market-Research Agent Built with SigNoz
A Dev.to post (Jul 26, 2026) by Tanmay Kumar Pradhan describes an AI market-research agent instrumented for observability using OpenTelemetry and SigNoz. The implementation uses an openinference instrumentation package for Google ADK to capture distributed traces, token usage and latency (including Gemini 2.0 Flash generation), and error tracking. The article includes step-by-step local run instructions (SigNoz running, pip install, OTLP endpoint export, setting GOOGLE_API_KEY, and running via the ADK CLI) and frames the project as a SigNoz hackathon submission and demo for observable AI agents.
Provides practical guidance for instrumenting AI agents with observability (SigNoz + OpenTelemetry). Useful for engineering teams building agentic systems but not broadly industry-shifting.
Key Takeaways & Evidence Grounding
- Tanmay Kumar Pradhan published a Dev.to article on 2026-07-26 titled "Building an Observable AI Market Research Agent with SigNoz".
- The agent is instrumented with OpenTelemetry to export telemetry data to SigNoz for observability.
- Instrumentation uses openinference-instrumentation-google-adk to capture distributed tracing, token usage and latency (including Gemini 2.0 Flash), and error tracking.
- The article provides local run instructions: ensure SigNoz is running, install dependencies, export OTEL exporter endpoint, set GOOGLE_API_KEY, and run the agent with the ADK CLI (adk run agent.py).
- The project is presented as a SigNoz Hackathon submission and references Google ADK and Google Cloud in related content.
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Ontology Mapping & Concepts
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