Deploying Containerized Workloads with Azure Container Apps
Deploy containerized workloads effortlessly with Azure Container Apps. Learn key components, deployment processes, monitoring, logging, and security features for simplified container management without Kubernetes complexities.
Five Ways to Manage Your Infrastructure as Code at Scale - Cloud Native Summit
Discover strategies and tools to optimize Infrastructure as Code processes, overcoming limitations and enhancing DevOps efficiency for future business needs.
Observability as a Journey - From Traditional Monitoring to Cloud-Native Systems
Explore the evolution of observability in cloud-native systems and its challenges as companies transition to microservices architectures.
Analytics Journey from Legacy to Cloud-Managed Solutions
Explore the evolution from legacy on-premise analytics to cloud-based solutions, highlighting improved user experience, cost efficiency, and agility in rapidly evolving tech landscapes.
Dependency Injection for Serverless Applications
Explore Dependency Injection benefits for serverless apps. Learn to improve robustness, manage environments, and enhance maintainability using practical examples with Node.js and TypeScript.
Fighting AI with AI: Securing Kubernetes for the Next Decade
Explore how GenAI is reshaping Kubernetes security and learn strategies to leverage AI for protecting deployments against evolving threats in the cloud-native landscape.
Taming Complexity: The Rise of Platform Engineering in Enterprises
Explore platform engineering as a solution for managing complexity in fast-paced IT environments with multiple teams and tech stacks.
Building Innovative AI/ML Models - Unleashing the Power of Data Mesh Architectures and Platforms
Explore data mesh principles and application platforms to empower AI/ML teams, foster innovation, and streamline model development through democratized data access and collaborative workflows.
Cloud-Native Technology Strategies for Global Scale
Unlock global business expansion with cloud-native strategies. Learn to scale, drive growth, and create value through effective technology planning and implementation.
High Performance Messaging in the Cloud with Aeron
Explore Aeron's features for optimal cloud performance: multi-node distribution, DNS, fault tolerance, and performance extensions.
Ease into Productivity with Serverless through Knative
Discover how Knative enhances serverless deployments, improves resource utilization, and boosts productivity in cloud-native environments.
Safely Extending the Kubernetes Scheduler with WebAssembly - A Tale of Two Plugins
Explore WebAssembly as an alternative for extending Kubernetes Scheduler, understanding its benefits, challenges, and implementation details compared to the Scheduling Framework.
Level Up with GitHub Copilot - AI Pair Programming
Discover how GitHub Copilot, an AI pair programmer, can enhance your coding efficiency by suggesting code, explaining concepts, and translating between languages.
Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events
Explore machine learning algorithms for collective variables in enhanced sampling, improving reaction rate calculations and free energy landscapes for complex systems.
Moving Beyond Screening via Generative Machine Learning Models for Materials Discovery
Explore generative machine learning models for materials discovery, moving beyond screening to generate novel structures and chemistries using advanced algorithms and techniques.
Pre-training Molecular Graph Representation with 3D Geometry
Explore molecular graph representation learning, leveraging 3D geometry for enhanced drug and material discovery through self-supervised learning and the GraphMVP framework.
Exploring Chemical Reactions Through Automation and Machine Learning
Explore efficient strategies for generating machine learned potentials to study reaction mechanisms in gas-phase and solution, achieving ab initio accuracy with minimal computational investment.
A Weak Convergence Viewpoint on Invertible Coarse-Graining
Explore weak convergence in invertible coarse-graining, combining force-matching with neural networks to recover fine-grained free energy surfaces in biomolecular systems.
Fully Quantum (Bio)Molecular Simulations - Dream or Reality?
Explore quantum-mechanical and machine learning advances in molecular simulations, their potential impact, and challenges in achieving fully quantum dynamics of complex biomolecular systems.
Information Scrambling: A Path-Integral Perspective
Explore quantum information scrambling, its quantification through Lyapunov exponents, and the role of path integrals in understanding universal bounds on chaos in thermal quantum systems.
A Quantum Computing Algorithm to Speed Up Metropolis Sampling
Explore a quantum algorithm for accelerating Metropolis sampling in multidimensional systems, leveraging wave function collapses for non-local configuration space moves.