Jemiah Sius
Mastering AI-Driven Problem Solving in Engineering with Observability
#1about 2 minutes
Understanding observability and the need for a process
Observability provides insight into system health and performance, addressing the common lack of a methodical process for resolving issues in complex environments.
#2about 2 minutes
Navigating the complexity of highly distributed systems
A real-world example of a distributed trace highlights the challenges of debugging systems with thousands of microservices, databases, and daily deployments.
#3about 4 minutes
Understanding the four core telemetry data types
Effective problem-solving requires leveraging the distinct strengths of metrics, events, logs, and distributed traces to gain a complete picture of system behavior.
#4about 5 minutes
Key data sources and platform capabilities for observability
A comprehensive observability strategy involves monitoring all application layers and utilizing platform features like workloads, change tracking, and AI-driven intelligence.
#5about 1 minute
Prioritizing changes and errors for faster resolution
Insights from a Microsoft Azure study reveal that most production issues stem from software faults or bad data, making rollbacks a common and effective first solution.
#6about 6 minutes
A step-by-step framework for debugging complex systems
Follow a structured process for incident resolution by first checking for changes and errors, then examining local and remote dependencies before using traces to investigate further.
#7about 3 minutes
Strategies for mitigating AI model hallucinations
Combat AI hallucinations by constraining model inputs and outputs, providing additional context through retrieval-augmented generation (RAG), and eventually fine-tuning the model.
#8about 3 minutes
Deciding when to build versus buy LLM solutions
Evaluate the trade-offs between using consumption-based AI tools and building smaller, custom LLMs based on factors like request volume, cost, and data privacy.
Related jobs
Jobs that call for the skills explored in this talk.
Wilken GmbH
Ulm, Germany
Senior
Kubernetes
AI Frameworks
+3
Sunhat
Köln, Germany
Remote
€85-115K
Senior
Team Leadership
Software Architecture
+1
Matching moments
03:28 MIN
Why corporate AI adoption lags behind the hype
What 2025 Taught Us: A Year-End Special with Hung Lee
04:57 MIN
Increasing the value of talk recordings post-event
Cat Herding with Lions and Tigers - Christian Heilmann
04:27 MIN
Moving beyond headcount to solve business problems
What 2025 Taught Us: A Year-End Special with Hung Lee
14:06 MIN
Exploring the role and ethics of AI in gaming
Devs vs. Marketers, COBOL and Copilot, Make Live Coding Easy and more - The Best of LIVE 2025 - Part 3
06:28 MIN
Using AI agents to modernize legacy COBOL systems
Devs vs. Marketers, COBOL and Copilot, Make Live Coding Easy and more - The Best of LIVE 2025 - Part 3
03:15 MIN
The future of recruiting beyond talent acquisition
What 2025 Taught Us: A Year-End Special with Hung Lee
03:14 MIN
How change management has evolved over the last decade
Turning People Strategy into a Transformation Engine
04:09 MIN
The emerging market for fixing AI-generated code
Devs vs. Marketers, COBOL and Copilot, Make Live Coding Easy and more - The Best of LIVE 2025 - Part 3
Featured Partners
Related Videos
35:16How AI Models Get Smarter
Ankit Patel
28:09The AI-Ready Stack: Rethinking the Engineering Org of the Future
Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel
24:33GenAI Security: Navigating the Unseen Iceberg
Maish Saidel-Keesing
41:06From Monolith Tinkering to Modern Software Development
Lars Gentsch
24:00Handling incidents collaboratively is like solving a rubix cube
Nele Uhlemann
23:55You are not an AI developer
Zan Markan
26:47The State of GenAI & Machine Learning in 2025
Alejandro Saucedo
30:49AI beyond the code: Master your organisational AI implementation.
Marin Niehues
Related Articles
View all articles
From learning to earning
Jobs that call for the skills explored in this talk.
Forschungszentrum Jülich GmbH
Jülich, Germany
Intermediate
Senior
Linux
Docker
AI Frameworks
Machine Learning
CloudiQS
Remote
£70-106K
Senior
React
Python
Node.js
+5
Imec
Azure
Python
PyTorch
TensorFlow
Computer Vision
+1