Build Reliable Systems with Chaos Engineering - MLOps Podcast #237
Explore chaos engineering to build reliable systems under unpredictable conditions. Learn benefits, trends, and integration with ML systems for improved resilience and observability.
AI Agents for Consumers - The Future of AI and Consumer Empowerment
Explore RealChar's Rivia, an AI application leveraging generative AI and machine learning to handle mundane calls and customer service, freeing human time for meaningful tasks. Gain insights on AI challenges and future prospects.
Why Data Scientists Should Learn Software Engineering Principles
Learn essential software engineering principles for data scientists to improve code quality, modularity, and readability. Enhance project scalability and model deployment capabilities.
Ax: A New Way to Build Complex Workflows with LLMs - MLOps Podcast
Explore Ax, a TypeScript library for building complex LLM workflows. Learn about prompt signatures, tuning, and composable prompts for RAG and agent-powered applications in production environments.
Google App Engine: Deploy Machine Learning Applications in Google Cloud
Deploy machine learning applications on Google Cloud using App Engine. Learn to leverage cloud infrastructure for scalable ML solutions.
Why Open Source Can Be the Perfect Place for New Developers
Discover how open-source projects like FreeBSD can boost your development career. Learn about community-driven development, essential skills, and ways to contribute effectively to open-source initiatives.
Half a Decade of Mob Programming - Lessons and Insights
Explore the benefits and challenges of long-term mob programming, including knowledge sharing, quality improvement, and team dynamics. Learn practical tips for successful implementation.
Developer Productivity is Waste - Avoiding Metrics Madness
Explore the pitfalls of excessive developer productivity metrics and learn alternative approaches to improve software development practices and outcomes.
Language Games - NDC Oslo 2024
Explore rigorous frameworks for effective communication in software engineering, addressing challenges with both humans and computers, and learn strategies to improve project outcomes.
Performance Tuning for Azure Cosmos DB - NDC Oslo 2024
Optimize Azure Cosmos DB performance through indexing policies, connection configurations, workload estimation, and throughput selection. Learn .NET/SDK settings and server-side programming for faster solutions.
Modernizing Applications to the Cloud with AI, Scalability and Optimizations
Modernize legacy apps with Azure: migrate to cloud, scale with Flex Functions, add AI via Logic Apps, and optimize in real-time using cutting-edge tools.
Stabilising Eccentric Systems
Explore techniques for stabilizing legacy systems, including testing, monitoring, re-architecting, and documenting. Learn to prioritize urgent tasks and gain buy-in for system improvements.
Embracing Exciting Times of Technological Evolution - Insights from LexisNexis Risk Solutions
Explore technological evolution with Flavio Villanustre, covering AI, quantum computing, and big data. Gain insights on innovation, ethical considerations, and future trends in this comprehensive overview.
Lessons Learned Developing Performance-Portable QMCPACK
Explore strategies for developing performance-portable scientific applications, focusing on QMCPACK's redesign for GPU and CPU compatibility in materials property prediction.
Taking HACC into the Exascale Era - New Code Capabilities and Challenges
Explore HACC's evolution for exascale systems, new capabilities, and performance optimization in cosmology simulations.
Exascale Computing Project Applications: Lessons Learned
Explore key insights and lessons learned from Exascale Computing Project applications development with Erik Draeger, deputy director of Application Development.
What Makes Software Work? - Concepts for Compelling Software Design
Explore key factors behind successful software products, focusing on compelling usage scenarios and the concept of modular, composable services that provide coherent value.
LLVM in HPC: Enabling Performance Portability, Interoperability, and Novel Features - Part 2
Explore recent LLVM efforts for HPC: portable CUDA, debugging at scale, GPU execution of legacy codes, automatic differentiation, ML in compilers, and static information impact.
Fine-tuning FinOps Approach: The Next Step
Explore advanced FinOps methodology for large organizations. Learn to establish observability at scale, detect usage patterns, and foster dialogue between teams to achieve long-term financial and technical goals.
Future of AI and ML in Software Testing
Explore AI's impact on software testing, including challenges, self-healing scripts, and future contributions. Learn to improve processes and implement risk-based methods using AI insights.
Powering AI Capabilities with API Management
Explore integrating Apache APISIX API Gateway with OpenAI API for scalable, performant, and secure AI applications. Learn proxy caching and security features.