Towards Reproducible Climate Research Using Docker Containers
Exploring Docker's role in advancing reproducible climate research, focusing on data delivery, analysis, and transparency for credible, accessible, and reusable scientific outcomes.
Tools for Better Testing in Open Source Projects
Explore tools and approaches for effective QA in open source projects, using OpenStack as an example. Learn about CI systems, testing frameworks, and best practices for improving quality.
Building Next-Generation Audience Targeting and Analytics at NBCUniversal
Explore NBCUniversal's data-driven approach to audience targeting using Apache Mesos, DC/OS, Spark, Kafka, and Cassandra for real-time analytics and personalized data services.
Astronomer's Journey from Cloud Lock-in to Open Source Independence
Discover how Astronomer transitioned from AWS-managed services to open-source solutions, enhancing flexibility and independence in their data engineering platform.
Supercharging Machine Learning Development with Azure and Containers in VS Code
Explore how to enhance machine learning development using Azure and containers in Visual Studio Code, boosting efficiency and streamlining workflows.
Docs as Code - Managing Documentation with Software Development Practices
Explore the "Docs as Code" approach for efficient documentation management, version control, and collaboration in software development projects.
Conda and Docker for Machine Learning Projects
Learn to optimize ML projects using Conda and Docker. Explore challenges, solutions, and best practices for efficient development and deployment workflows.
Deploy a Customer Churn Prediction Model with Streamlit and Docker
Learn to build and deploy a customer churn prediction model using Streamlit and Docker. Discover how to package machine learning models into interactive applications for effective customer retention strategies.
Building Robust Streaming Data Pipelines with Apache Spark
Learn to build robust streaming data pipelines using Apache Spark, Kafka, and Camel. Explore ETL challenges, data management, and lessons from running these technologies in Docker.
Deploying Fast Data Pipelines on Mesos and DC/OS
Overview of Fast Data systems, their deployment on Mesos and DC/OS, and their impact on Big Data processing. Learn about the evolving landscape of data pipelines and efficient operational strategies.
Radicale - Open Source, Self Hosted, Syncing and Shareable Calendars, Contacts, and Events
Learn to set up Radicale, an open-source solution for self-hosted calendars and contacts. This tutorial covers installation, configuration, and integration with calendar applications for seamless syncing.
Rook: Introduction and Deep Dive with Ceph Storage - Kubernetes Cloud-Native Storage
Explore Rook, a cloud-native storage operator for Kubernetes, and its integration with Ceph for robust block, file system, and object storage in production environments.
Spark on Kubernetes: Building an Elastic Service - Apple's Approach
Explore Apache Spark on Kubernetes, focusing on autoscaling challenges and solutions for efficient large-scale data processing in multi-tenant environments with advanced features.
Fluent Bit in 2022: Logs, Prometheus and OpenTelemetry
Explore Fluent Bit's expanded capabilities in observability, covering logs, metrics, and traces collection. Learn to optimize data pipelines using OpenMetrics and OpenTelemetry for efficient production environments.
Hands-on Workshop: Getting Started with Fluent Bit and Metrics with Prometheus
Practical workshop on integrating Fluent Bit with Prometheus for enhanced observability. Learn to collect, send, and visualize metrics using Grafana in a cloud-native environment.
Building Digital Twins for DFDS With Crossplane and Kubernetes
Explore how DFDS uses Kubernetes-based Digital Twins, Crossplane, and Backstage to manage logistics operations and accelerate software development in a decentralized, distributed environment.
Tower of Babel - Making Apache Spark, Kubeflow, and Kubernetes Play Nice
Explore how Apache Spark, Kubeflow, and Kubernetes can work together to process big data matrices, denoise medical images, and create reproducible ML pipelines for COVID research and healthcare applications.
Autoscaling Elasticsearch for Logs on Kubernetes
Explore best practices for autoscaling Elasticsearch on Kubernetes, focusing on efficient load balancing and introducing a new open-source operator for optimal performance.
Jet Energy Corrections with GNN Regression using Kubeflow at CERN
Explore how Kubeflow enables graph neural network-based jet energy corrections at CERN's Large Hadron Collider, improving particle physics research through scalable machine learning workflows.
From Student to SRE - Navigating CNCF Projects and Kubernetes
Discover how a student transformed into a Site Reliability Engineer, mastering CNCF projects like Kubernetes and Linkerd through internship, community engagement, and continuous learning.
Build a Cloud Native Logging Pipeline on the Edge with Fluentbit Operator
Explore FluentBit Operator for efficient cloud-native logging on edge devices. Learn its architecture, design, and implementation on K3s for processing logs in edge and IoT scenarios.