Replacing the Gearbox While Driving Down the Motorway - Upgrading Legacy Systems
Upgrade core business systems while maintaining functionality. Learn techniques for retrofitting frameworks and managing system overhauls without disrupting operations or sacrificing new features.
Building and Managing Container Images at Scale with Cloud Native Buildpacks
Transform application source code into container images efficiently using Cloud Native Buildpacks. Learn to accelerate development pipelines, reduce costs, and achieve greater agility in containerized application deployments.
The State of Server Side Java Webapps
Explore server-side Java web applications as an alternative to JavaScript frameworks, examining their potential to meet modern user requirements for dynamic and interactive interfaces.
AI-Powered Development: Hands-On Techniques for Immediate Impact
Explore AI-driven coding techniques to accelerate development, integrate AI into applications, and prepare for the future of software engineering with practical examples.
Platforms: Build Abstractions, Not Illusions
Explore how to create useful abstractions in complex distributed systems, avoiding dangerous illusions that can lead to disappointments.
Diagnosing Failure Modes in ML Organizations - Lessons from Yelp
Diagnose pitfalls in ML organizations. Learn to improve project velocity, practitioner happiness, and ML adoption across business objectives. Gain insights from Yelp's decade-long ML journey.
The Coming Nuclear Winter for AI Chip Companies
Explore the future of AI chip companies and their potential challenges in a rapidly evolving technological landscape.
Scaling AI in Production with PyTorch
Learn to scale AI in production using PyTorch, covering resilient distributed platforms, TorchServe, and strategic partner initiatives for a robust ecosystem.
Building Scalable ML Services for Rapid Development in Health and Wellness
Discover how to build and scale ML services for health and wellness products, reducing release time by 85% using open-source tools like DBT, AirFlow, and MLFlow.
Rapid Iteration and ML Model Deployment at Dropbox
Discover rapid ML model iteration and deployment techniques used at Dropbox, reducing development time from weeks to under an hour.
Is It Too Much to Ask for a Stable Baseline? - Evaluation and Monitoring in Machine Learning Systems
Explore challenges in ML evaluation and monitoring, focusing on stable baselines in changing environments and their implications for traditional and emerging ML systems.
Hyper-Scaling Real-Time Personalization with Privacy via On-Device Computing
Explore on-device computing for real-time personalization, balancing privacy, latency, and scale while reducing cloud reliance and enhancing ML capabilities.
Engineering an LLM Application: Chat with MLOps World
Develop a chatbot using MLOps World content, exploring techniques to transform it from concept to production-ready application.
Machine Learning Monitoring in Production - Lessons Learned from 30+ Use Cases
Discover practical strategies for effective machine learning monitoring in production, drawing insights from over 30 real-world use cases.
The Ops in MLOps - Cost Predictive, Security Compliant, and Data Governance Techniques
Explore techniques for creating ML environments with cost predictability, security compliance, and proper data governance. Focus on the often-overlooked Ops components of MLOps.
Unlock the Power of MLFlow with Multi-Cloud Compute Infrastructure
Harness MLFlow's potential using multi-cloud compute infrastructure. Learn integration techniques, architectural considerations, and scaling strategies for effective ML training and deployment across clouds.
Challenges for ML Operations in a Fast Growing Company
Explore ML operations challenges in rapidly growing companies. Learn strategies for scalable platforms, efficient model training, and balancing distributed vs. non-distributed applications. Gain insights on developer ergonomics and best practices.
Building Python-Based Extensions with Dynatrace - A Practical Guide
Learn to build Python-based extensions for Dynatrace using the Extensions SDK. Explore architecture, create new extensions, upgrade existing ones, and leverage tools for efficient development and deployment.
Model Mitosis - A Dynamic Approach to Software Modularization
Discover a dynamic approach to modularize software, avoiding monolithic spaghetti code and premature microservices. Learn when and how to split business models for optimal flexibility and scalability.
Continuations: The Magic Behind Virtual Threads in Java
Explore the power of Continuations in Java, the mechanism behind virtual threads. Learn how to implement a simple VirtualThread class using the Continuation API for enhanced scalability.
Lessons Learned: The Journey to Real-Time Machine Learning at Instacart
Explore Instacart's transition to real-time machine learning, focusing on infrastructure, use cases, challenges, and key lessons for implementing ML in a dynamic marketplace.