
Learn to orchestrate Spark jobs on Kubernetes using Argo Workflows, exploring architecture, resource management, and scaling advantages for efficient large-scale data processing in cloud-native environments.

Learn to create reproducible machine learning workflows using Kubeflow Pipelines, enhancing efficiency and scalability in ML projects with Google's open-source platform.

Explore Flyte, a cloud-native platform for machine learning and data processing, presented by Lyft engineers. Learn its features, benefits, and applications in modern data workflows.

Explore modern streaming data platforms for real-time transaction processing, focusing on durability, scalability, and performance in critical data paths. Learn from Alpaca's experience re-engineering their order management system.

Explore open-source tools for efficient data streaming and lake management, enhancing your skills in modern data architecture and processing techniques.

Explore how to enhance machine learning development using Azure and containers in Visual Studio Code, boosting efficiency and streamlining workflows.

Discover how Asana modernized its event emission infrastructure using Fluent Bit, scaling to 3.5 billion events daily while improving flexibility, performance, and durability.

Discover how Bloomberg and Pipekit leverage Argo Workflows and Kubernetes to create scalable data science platforms, enabling data teams to automate pipelines and self-serve their data engineering needs across multiple clusters.

Explore Uber's Palette Feature Store evolution, focusing on feature sharing, cost reduction, and scalability. Learn about serving 21000+ features at 25M queries/sec with 99.999% uptime.

Explore strategies for managing high-demand AI services, including design for seamless changes, real-time monitoring, and auto-recovery using Kubernetes and Istio service mesh.

Insights on leveraging open-source tech for Apache Spark on Kubernetes, addressing challenges in large-scale production environments and evolving ML data infrastructure in the cloud.

Explore production-ready Retrieval-Augmented Generation (RAG) techniques for enhancing AI applications with Michel de Ru's expert insights from DevWorld 2024.

Discover best practices for building scalable Spark clusters on Kubernetes using Argo Workflows and Argo Events, enabling efficient resource utilization and seamless scalability for powerful data processing.

Explore building serverless data pipelines in Rust using DataFusion and object store, with deployment on AWS Lambda. Learn scalable techniques for complex pipelines in production environments.

Explore data engineering's role in AI, addressing scalability and real-time processing challenges. Learn from case studies and gain insights into future trends shaping the field's evolution.

Explore a K8s-native Serverless Spark Service that enhances speed and simplicity, featuring a new K8s operator for cluster creation and job submission, with rapid responsiveness and ML training integration.

Explore scalable stream processing on Kubernetes with Numaflow, an open-source framework enabling easy, cost-efficient data analytics for various engineering roles, powering large-scale operations at Intuit.

Explore Shopify's highly available search platform, leveraging Kafka for real-time indexing and Elasticsearch for efficient querying across global regions, ensuring data resilience and compliance.

Explore Thanos' new Query API feature for connecting to managed Prometheus solutions, enabling global querying across diverse data sources and unlocking innovative use cases in cloud-native monitoring.

Explore PepsiCo's data science transformation using Kubeflow, addressing challenges in model reproducibility and enhancing efficiency, collaboration, and scalability in machine learning workflows.

Explore open-source Business Process Management solutions with insights from Capital One's experience, comparing features and benefits for effective workflow automation.