Ultimate OpenTelemetry Guide for Tracing AI Applications

Arize AI · Beginner ·🛠️ AI Tools & Apps ·2mo ago
Arize AX Enablement session on building evaluators! In this hands-on session, we show you how to create LLM-as-a-Judge and code-based evaluators, scope them across spans, traces, and sessions, and apply filters to evaluate on exactly the data that matters. Designed for both technical and non-technical attendees - this session focuses on real examples that make evaluators approachable and actionable for everyone. Learn how OpenTelemetry tracing works for AI apps—spans, traces, sessions, exporters, span processors, and tracer providers—and how OpenInference semantic conventions + auto-instrumentation make LLM/agent workflows observable in Arize AX. We close with advanced topics like context propagation, sampling, and OTEL collectors. 0:00 Intro 0:49 Why observability (trust + silent failures) 4:07 OpenTelemetry overview 7:17 OpenInference overview 8:21 Signals (traces, metrics, & logs) 10:15 Span structure 16:31 OTel components (resource/exporter/processor/provider) 18:17 Resource 21:48 Exporters 31:32 Span processors 35:05 Tracer provider 38:53 Register function (arize.otel) 39:24 ArizeRoutingProcessor 41:25 OpenInference Semantic Conventions 44:59 How to Instrument 45:51 Autoinstrumentation 46:58 Manual instrumentation 51:17 OpenInference Context Managers 52:15 Hybrid instrumentation 53:54 Custom Span Processors 57:26 Context propagation 1:05:36 Sampling 1:12:43 Collector Speakers: Sofia Jakovcevic: https://www.linkedin.com/in/sofia-jakovcevic/ Lucas Moehlenbrock: https://www.linkedin.com/in/lucas-moehlenbrock-b42174130/ Arize docs: Tracing overview: https://arize.com/docs/ax/observe/tracing Quickstart tracing: https://arize.com/docs/ax/quickstarts/quickstart-tracing OpenTelemetry integration (arize-otel): https://arize.com/docs/ax/integrations/opentelemetry/opentelemetry-arize-otel OpenInference helpers: https://arize.com/docs/ax/observe/tracing/configure-tracing-options/instrument-with-openinference-helpers Advanced OTEL examples: https://arize.com/docs/ax/o
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

SAP's AI strategy: Come for the openness, stay because you have to
SAP's AI strategy prioritizes openness and interoperability, but may also lock enterprises into their ecosystem
The Register
Automating Sample Clearance: Your AI Legal Co-Pilot
Automate sample clearance with AI to reduce legal risks and increase efficiency in music production
Dev.to AI
10 Prompts for Generating Product Demo Videos with AI
Learn to generate product demo videos with AI using 10 prompt templates and Seedance 2.0
Dev.to AI
35 ChatGPT Prompts for Wealth Managers: Strengthen Client Relationships, Sharpen Analysis, and Scale Your Practice
Wealth managers can leverage ChatGPT with 35 tailored prompts to enhance client relationships, analysis, and practice scalability, freeing up time for high-value tasks
Dev.to AI

Chapters (23)

Intro
0:49 Why observability (trust + silent failures)
4:07 OpenTelemetry overview
7:17 OpenInference overview
8:21 Signals (traces, metrics, & logs)
10:15 Span structure
16:31 OTel components (resource/exporter/processor/provider)
18:17 Resource
21:48 Exporters
31:32 Span processors
35:05 Tracer provider
38:53 Register function (arize.otel)
39:24 ArizeRoutingProcessor
41:25 OpenInference Semantic Conventions
44:59 How to Instrument
45:51 Autoinstrumentation
46:58 Manual instrumentation
51:17 OpenInference Context Managers
52:15 Hybrid instrumentation
53:54 Custom Span Processors
57:26 Context propagation
1:05:36 Sampling
1:12:43 Collector
Up next
Using Cowork I automated my Prompt of the Week slide generation
Microsoft 365 Developer
Watch →