Patient Safety and Quality Improvement in Healthcare
Comprehensive overview of patient safety concepts, including medical errors, adverse events, root cause analysis, and medication errors, with emphasis on high-yield takeaways for medical exams.
Epiphany and Apophany
Explore patterns in complex systems, biases, and decision-making. Learn techniques to navigate uncertainty, avoid analysis paralysis, and create safe-to-fail environments in human systems and software engineering.
Message Processing Failed! But What's the Root Cause?
Explore techniques for investigating failures in distributed systems, including modeling, integration testing, and OpenTelemetry instrumentation to enhance system observability and troubleshooting.
Incidents Are a New Normal
Explore techniques for learning from software incidents, conducting blameless post-mortems, identifying root causes, and implementing preventive measures to improve system reliability and engineering skills.
Safety-Critical Systems from the Inside - NDC Oslo 2020
Explore techniques for ensuring safety in critical systems, including fail-safety, CPU redundancy, secure communication, and formal proofs. Learn about safety integrity levels and effective documentation practices.
Team Rises From Crisis: Leveraging Incidents for Growth and Improvement
Aprenda a transformar crises em oportunidades de crescimento e melhoria para sua equipe, desenvolvendo uma cultura resiliente e estratégias eficazes de gerenciamento de incidentes.
The Subtle Art of Fixing Silently Failing ML Models
Discover techniques to identify, assess, and proactively fix silent ML model failures. Learn to build reliable, compliant solutions resistant to performance degradation using AI Observability tools.
Build High Performance MLOps With ML Monitoring and AI Explainability
Explore MLOps best practices, focusing on ML monitoring and AI explainability. Learn to identify model failures, address operational issues, and streamline model deployment using cutting-edge techniques.
How to Improve PostgreSQL Monitoring and Observability with PMM - PGConf NYC 2021
Enhance PostgreSQL monitoring and observability using Percona Monitoring and Management (PMM). Learn to set up, navigate dashboards, detect bottlenecks, troubleshoot issues, and optimize configurations.
Observability for Troubleshooting and Optimization with OpenTelemetry
Explore OpenTelemetry for enhanced DevOps observability, troubleshooting, and optimization in Google Cloud, covering instrumentation, trace exploration, adoption strategies, and deployment patterns.
Performance Co-Pilot TreeTop - Predictive Analytics for System Performance Analysis
Explore automated system performance analysis using dynamic ensemble, statistical methods, causal inference, anomaly detection, and explainable AI for rapid data distillation and real-time performance insights.
Debugging Kubernetes Applications with GenAI and Machine Learning
Explore automated root cause analysis for Kubernetes using AI and machine learning. Learn about ScienceLogic's Skylar AI solution through live demos, use cases, and Q&A sessions.
AI-Assisted Software Engineering - Endnote
Explore AI-assisted software engineering tools revolutionizing code writing and problem-solving for C++ developers. Learn about AI-powered code generation and root-cause analysis techniques.
The Future of AI-Powered Observability - From Logs to Intelligent System Analysis
Explore how AI and GenAI transform system observability, from natural language queries to automated root cause analysis, making complex system monitoring accessible and efficient.