Fluentd - A Complete Logging Ecosystem for Kubernetes
Explore Fluentd's internals, best practices, SDKs, and sub-projects for efficient logging in cloud-native environments, with a focus on Kubernetes integration and operational challenges.
Building Cloud Integration Applications Through Knative and Apache Camel
Explore cloud-native integration using Knative and Apache Camel, focusing on EIP DSL for middleware integration and leveraging serverless frameworks for efficient service connectivity in modern applications.
Introducing Kubeflow for Machine Learning and AI on Kubernetes
Explore Kubeflow for seamless machine learning model deployment, from laptop to production. Learn about its components, scalability benefits, and integration with tools like TensorFlow and Apache Spark.
Deep Dive: Rook - Cloud-Native Storage Orchestrator for Kubernetes
Explore Rook's architecture, recent developments, and multi-homed network configurations for cloud-native storage orchestration in Kubernetes, focusing on EdgeFS and Ceph operators.
Embracing Big Data Workloads in Cloud-Native Environments with Data Locality
Explore data locality in cloud-native big data workloads, focusing on Apache Hadoop Ozone's network topology support and its benefits for performance and scheduling in Kubernetes environments.
Orchestrating Data Assets Instead of Tasks, With Dagster - Sandy Ryza
Explore data orchestration with Dagster, focusing on managing data assets over tasks. Learn about pipeline development, testing, deployment, and monitoring in data engineering and machine learning.
A MLOps Platform for All Data Personas
Explore IKEA's journey in developing a custom MLOps platform that addresses diverse data personas, standardizes model development, and leverages open-source components for efficient AI/ML productionization.
Relational Observability for Cloud-Native Security and Data Science
Explore SysFlow, a runtime observability framework for cloud-native security. Learn about its telemetry format, behavioral graphs, and tools for collecting and processing data in Kubernetes environments.
Inferencing Big Data with AI and Machine Learning in Metaverse
Explore advanced visualization techniques for big data in AR/VR, focusing on real-time inferencing, infrastructure needs, and cognitive AI agents for enhanced customer engagement.
The Evolution of the Open Data Ecosystem
Explore the evolution of open data ecosystems, addressing challenges in big data processing and introducing new approaches like data mesh and open APIs to streamline data management and accelerate value creation.
What Is the Big Deal with the Open Programmable Infrastructure Project?
Explore the Open Programmable Infrastructure Project, fostering a community-driven ecosystem for next-gen architectures using DPUs and IPUs. Learn about its goals, structure, and how to contribute.
AI's Rebirth: The Impact of Open Source and Cloud Computing
Explore how open source and cloud computing have fueled AI's resurgence, enabling widespread adoption and innovation in machine learning technologies and applications.
Accelerating Spark Workloads in a Mesos Environment with Alluxio
Learn how Alluxio enhances Spark and Mesos performance by providing memory-speed data access across disparate storage systems, optimizing big data processing and enabling new workloads.
Introducing Kubeflow with TensorFlow and Apache Spark
Explore Kubeflow's role in streamlining machine learning workflows, from model development to production deployment on Kubernetes, with insights on scalability and integration with TensorFlow and Apache Spark.
Unleashing Innovation from Core to the Edge
Explore cutting-edge innovations in data storage and management with Western Digital's CTO. Learn about transformative technologies shaping the future of digital infrastructure.
Automating Cloud-native Spark Jobs with Argo Workflows
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.
Uncovering Community and Project Insights Through Data-Driven Methods
Explore data-driven methods to assess open source project health using GitHub data. Learn to create dashboards and ML models for deeper insights into software development processes.
Flyte - Cloud Native Machine Learning and Data Processing 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.
An Intro to Presto, the Open Source Distributed SQL Query Engine for the Data Lake
Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.
Hail Hydrate - From Stream to Lake Using Open Source
Explore open-source tools for efficient data streaming and lake management, enhancing your skills in modern data architecture and processing techniques.
Open Source Summit Keynotes - Future of Work, AI, Innovation, and Inclusion
Explore the future of work, open-source innovation, and diversity in tech with industry leaders. Gain insights on collaboration, AI, cloud computing, and inclusive practices shaping the tech landscape.