
Explore building a system for collecting, storing, and processing massive amounts of data using Apache Mesos and Hadoop, with a focus on video surveillance applications.

Learn to apply 'as code' principles across the entire stack, from disk images to cluster management, using source control, CI tools, and declarative DSLs for improved testing, deployment, and configuration management.

Explore challenges and solutions for running graphical applications in containers on ARM SOCs, focusing on X11 and Wayland, hardware acceleration, and security considerations for embedded systems.

Explore container security, recent kernel developments, and future challenges in making unprivileged containers safer and more usable.

Explore deploying high-performance, energy-efficient AI foundation models on Kubernetes. Learn containerization, deployment, energy measurement, consumption reduction, and performance-energy tradeoffs.

Explore how OpenTelemetry's rapid growth is driven by collaboration among competitors, focusing on community-building strategies, balancing interests, and fostering shared values in open-source projects.

Simplifying board farm setup for continuous integration in embedded Linux development. Explores motivations, challenges, and benefits of the "Lab in a Box" concept, with a demo of its implementation.

Explore Jenkins CI integration with libvirt and real hardware for Real-Time Linux testing. Learn about R4D extension, enabling seamless control of physical devices in automated test environments.

Exploring container orchestration options, their strengths, and limitations. Insights from Azure Container Service on diverse solutions and success stories, without declaring a clear winner.

Explore how the National Geospatial-Intelligence Agency adopts Mesos for large-scale processing, including metrics, Jenkins integration, and future plans.

Explore IP Anycast implementation for Docker containers on DC/OS, enabling efficient traffic distribution and simplified deployments in modern datacenter networks using BGP and spine-leaf topologies.

Explore best practices for maintaining and optimizing Apache Mesos clusters, focusing on metrics, monitoring, and proactive problem-solving to ensure smooth operations in dynamic production environments.

Deep dive into container networking for micro-services using Apache Mesos and DC/OS, exploring CNI, IP allocation, overlay networks, service discovery, load balancing, and more.

Explore traffic management challenges in container environments, focusing on load balancing methods, container outage consequences, and dynamic registration for microservices architecture.

Explore how PagSeguro enhances Apache Mesos cluster security using Calico, integrating with legacy networks and cloud providers. Learn about efficient ACL management and improved release times.

Streamline DC/OS deployments with a custom API that enhances Marathon JSON, ensuring operational standards and simplifying the process for development teams.

Discover how Yelp leverages AWS Spot Fleet and Apache Mesos to optimize infrastructure costs while maintaining reliability. Learn about configuration tweaks, autoscalers, and best practices for balancing savings with operational stability.

Explore real-time testing with Fuego, focusing on cyclictest+ff for embedded devices. Learn to analyze response delays and improve performance in Linux-based systems.

Explore how Bloomberg adapted Kubernetes for machine learning, addressing multi-tenancy, data security, and hardware acceleration in their AI-driven financial services platform.

Explore streaming data pipelines on Apache Mesos, covering tools like Kafka, Spark, and Flink. Learn about Mesos features, implementation details, and lessons from real-world applications.

Learn to build robust stateful applications on DC/OS using the SDK. Explore storage provisioning, scaling, client discovery, operator management, and failure resilience for distributed systems like Apache Kafka and Cassandra.