WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2024 • Aug 20, 2024 • Session details

Mastering AI-Driven Problem Solving in Engineering with Observability

Jemiah Sius

Stop guessing in the dark during on-call emergencies. Master a systematic observability loop to resolve infrastructure bottlenecks and eliminate unique AI hallucinations using RAG and distributed traces.

Pause
Mute Enter Fullscreen
#1 about 6 min

Understanding observability in highly complex distributed environments

Managing thousands of microservices and deployments requires a methodical approach to tracking system health.

#2 about 5 min

Utilizing essential telemetry data types for problem detection

Understanding when to use metrics, events, logs, and distributed traces enables granular system troubleshooting.

#3 about 5 min

Establishing proper data sources and observability platform capabilities

Capturing data across application layers and leveraging anomaly detection simplifies finding configuration errors and silent corruptions.

#4 about 7 min

Following a repeatable framework for incident source identification

Tracing symptoms downstream to local and remote dependencies eliminates trial and error during outages.

#5 about 4 min

Mitigating artificial intelligence hallucinations with constraints and context

Managing large language model inaccuracies requires input constraints and retrieval-augmented generation to provide missing domain knowledge.

#6 about 4 min

Balancing performance and costs with custom language models

Transitioning from token-based consumption to smaller bespoke models reduces latency and ensures data privacy in production environments.

Matching moments

1:05 min

Implementing monitoring and observability for AI software deployments

Alejandro Saucedo Alejandro Saucedo · WWC 2025

1:55 min

Identifying and fixing over-engineered AI calls through observability

diabhey diabhey · WWC 2025

1:48 min

Adapting observability strategies for long-running enterprise AI agents

Christian Heilmann Christian Heilmann +3 · WWC Europe 2026

1:21 min

Leveraging generative AI for application observability and security

Jemiah Sius Jemiah Sius · WWC 2023

2:03 min

Solving complex engineering challenges in artificial intelligence deployment

Nico Axtmann · WWC 2022

1:50 min

Managing observability using natural language AI agents

Alex Laubscher Alex Laubscher +3 · WWC 2025

More from World Congress 2024

Beyond the Hype: Real-World AI Strategies Panel thumbnail
24:07
10 months ago

Beyond the Hype: Real-World AI Strategies Panel

Mike Butcher, Jürgen Müller, Katrin Lehmann, Tobias Regenfuss

Carl Lapierre - Exploring Advanced Patterns in Retrieval-Augmented Generation thumbnail
21:17
almost 2 years ago

Carl Lapierre - Exploring Advanced Patterns in Retrieval-Augmented Generation

Carl Lapierre

Coding an Immersive Copilot using Unity / .NET and Azure OpenAI! thumbnail
31:50
almost 2 years ago

Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!

Zaid Zaim

Building a diverse tech company: The power of Diversity, Equity, Inclusion, and Belonging thumbnail
29:43
almost 2 years ago

Building a diverse tech company: The power of Diversity, Equity, Inclusion, and Belonging

Sue Quackenbush

Dapr in Practice thumbnail
24:08
almost 2 years ago

Dapr in Practice

marcklefter

Minimising the Carbon Footprint of Workloads thumbnail
27:46
almost 2 years ago

Minimising the Carbon Footprint of Workloads

Michael Mueller

Upcoming sessions on this topic

Open session

World Congress 2026 North America

Reinventing Testing Practices in the AI Era

Eric Deandrea

Java Champion & Senior Principal Software Engineer, IBM

Eric Deandrea
Open session

World Congress 2026 North America

Closing the Visibility Gap: Lessons from Safety Critical Agentic Systems

Vivek Pandit

Principal Engineer at Cadence

Vivek Pandit
Open session

World Congress 2026 North America

You Can’t Re-Run Sunlight: Designing ML Data Architectures for Physical AI

An Phan

Senior Data Infrastructure Engineer @ Hippo Harvest

An Phan
Open session

World Congress 2026 North America

AI Decision Observability: Enabling Transparency and Trust in Intelligent Systems

Amjad Shaikh, Soumil Mandal

Amjad Shaikh
Soumil Mandal
Open session

World Congress 2026 North America

No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs

Emmanuel Acheampong

Senior Manager Developer Relations at Crusoe AI

Emmanuel Acheampong
Open session

World Congress 2026 North America

Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale

Him Raj Singh

PayPal, Manager, Software Engineer

Him Raj Singh

Related videos

Unlocking the AI Black Box: Building Trust in the Era of Agentic Production thumbnail
27:40
WWC Europe 2026 • about 1 month ago

Unlocking the AI Black Box: Building Trust in the Era of Agentic Production

Jemiah Sius, Harry Kimpel

Why LLMs Need Observability and How to Do It thumbnail
32:41
Europe 2026 Virtual • about 1 month ago

Why LLMs Need Observability and How to Do It

Rahul Gupta

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge thumbnail
42:26
Coffee With Developers • over 1 year ago

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge

Meta Atamel, Guillaume Laforge

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow thumbnail
34:21
LIVE • almost 2 years ago

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow

Aarno Aukia

Truth, Lies, and Probabilities: Testing AI Hallucinations thumbnail
32:14
WWC Europe 2026 • about 1 month ago

Truth, Lies, and Probabilities: Testing AI Hallucinations

Anastasia Simou

The Limits of LLMs in Real-World Applications thumbnail
31:07
WWC Europe 2026 • about 1 month ago

The Limits of LLMs in Real-World Applications

Deivids Vilkinsons, Guillaume Esnou, Laura Moritz, Mariam Hakobyan

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.