Spark Cloud Native Practice - Powered by Apache Kyuubi and Celeborn
Explore building enterprise-level Spark on Kubernetes cloud-native offline computing platforms using Apache Kyuubi and Celeborn. Learn architecture design, lessons, and efficiency enhancements.
Flink K8S Operator Autoscaling - Implementation and Best Practices
Explore Flink K8S Operator's autoscaling capabilities, origins, and future developments. Learn about resource optimization and non-stop updates in Apache Flink's stream processing ecosystem.
Flow: Worst Software Development Method - Devoxx Poland 2022
Explore the pitfalls of Flow as a software development method and learn alternative approaches for effective project management and team collaboration.
Simplify ML Pipeline Automation and Tracking Using Kubeflow and Serverless Functions
Simplify ML pipeline automation and tracking with Kubeflow and serverless functions. Learn to streamline your machine learning workflows for improved efficiency and productivity.
MLOps and Automation Workshop - Bringing Machine Learning to Production in a Few Easy Steps
Learn to deploy ML/AI to production faster using MLOps technologies. Explore automation techniques and best practices for efficient machine learning operations.
Using Model Serving in Streaming Applications
Explore model serving approaches in streaming applications using Cloudflow framework. Learn to develop, orchestrate, and operate distributed streaming applications on Kubernetes efficiently.
Building and Operating an Open Source Data Science Platform
Develop an end-to-end data analytics pipeline, from exploratory analysis to model deployment. Learn pipeline orchestration, distributed training, automation, and monitoring for scalable machine learning projects.
MLOps Without Much Ops - Building Efficient Machine Learning Systems
Discover modern, no-nonsense data pipelines for efficient machine learning systems. Learn PaaS advantages and explore real-world applications with open-source code. Gain insights on ML's future for organizations of all sizes.
Speeding Up Innovation with Cloud-Native and Continuous Delivery
Discover modern best practices for accelerating innovation through continuous delivery, cloud-native architecture, and chaos engineering, drawing from global organizational experiences and practical implementations.
The Value Flywheel Effect: A Modern Cloud Strategy - Interview with David Anderson
Explore serverless-first strategies, Wardley Mapping, and the Value Flywheel Effect for modern cloud transformation. Learn to align business and IT, foster psychological safety, and drive rapid software development.
Cloud Native Artificial Intelligence - Top to Bottom
Explore how Cloud Native is shaping MLOps implementations, focusing on tools like Kubeflow and KServe. Learn to leverage Cloud Native knowledge for AI integration and future developments.
Scale Your Databricks Workloads up to 15k Nodes on Google Cloud
Explore how Databricks on Google Cloud leverages GKE for scalability, enabling AI/ML infrastructure to handle growing demands. Learn from NEAR's experience and discover extensive integrations with Google Cloud services.
Neo4J Knowledge Graph Builder App with Langchain, OpenAI, and Gemini
Build knowledge graphs from unstructured data using Neo4J's Knowledge Graph Builder App with AI integration for efficient data extraction and visualization.
Orchestrating LLM AI Agents with CrewAI
Explore CrewAI for orchestrating LLM AI agents. Learn fundamentals, challenges, and real-world applications. Discover how to enhance LLM efficiency across industries with this open-source platform.
Structuring Data Science Projects with Docker
Structure data science projects using Docker for seamless model deployment. Learn advanced techniques, explore code, address vulnerabilities, and weigh pros and cons of Docker in data science workflows.
MLOps Platform for AI and Machine Learning Use Cases
Explore MLOps platforms for AI and Machine Learning, focusing on streamlining development and deployment processes in enterprise environments.
Connecting Disparate Systems in a Lightweight Way
Explore lightweight methods for connecting disparate systems in modern application development. Learn efficient integration techniques for streamlined system connectivity.
Supersonic Model Serving Using Apache Licensed Deep Java Library (DJL) and Quarkus
Explore supersonic model serving in cloud-native environments using Deep Java Library (DJL) embedded in Quarkus. Learn to bridge the gap between data scientists and DevOps teams for efficient model deployment.
Where is Fuse 8? - The Future of Red Hat's Containerized Integration Solution
Discover the future of Red Hat's containerized integration solution beyond Fuse 7 and learn how to modernize Fuse 6 workloads for upcoming needs.
Realtime Stock Market Anomaly Detection Using Machine Learning - End-to-End Data Engineering Project
Develop an end-to-end data engineering project for real-time stock market anomaly detection using Quix Streams, Redpanda, and Docker. Learn to build a complete data pipeline and deploy an advanced ML model.
Extreme Self-Service: Turning Data Consumers into Data Constructors
Empower data consumers to create their own products with minimal training. Learn best practices, community building, SQL literacy promotion, and guard rail establishment for self-service analytics.