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

Explore how up-streaming device drivers improves code quality, reduces line count, and enhances functionality. Learn from a real-world project that achieved 30% code reduction while maintaining performance.

Explore embedded Linux in aerospace applications, focusing on phased array antennas and FPGA integration. Learn about hardware decisions, software maintenance, and practical insights from real-world projects.

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.

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

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 Uber's software-defined infrastructure, focusing on global network engineering, automation, and performance optimization for massive-scale operations and peak efficiency.

Explore deploying CockroachDB, a scalable and consistent database, on Mesos for cloud-native applications. Learn about the DC/OS SDK and its benefits for stateful services deployment.

Explore distributed data systems, multimodel databases, and deployment strategies for robust, scalable infrastructure. Learn about replication, fault tolerance, and cross-data center operations.

Explore strategies for reducing recovery times and achieving high availability in DC/OS using external persistent volumes, focusing on distributed applications like Cassandra and HDFS.

Explore distributed deep learning on Apache Mesos, leveraging GPU clusters for efficient model training in self-driving cars, trip forecasting, and fraud detection at UBER.

Optimize Mesosphere Marathon performance with 8 practical tips to prevent outages and improve efficiency in large-scale production environments.

Explore building highly available, performant Mesos frameworks using universal containerizer and CNI without Docker. Learn about Go implementation, V1 streaming API, and accompanying SDK.

Explore Twitter's journey in implementing filesystem isolation using Docker containers, discussing challenges and solutions in scaling container technology for microservices deployment.

Explore fault domains in Mesos 1.4, enabling highly available apps and unlocking use cases like workload bursting and rack-aware scheduling for stateful applications.

Explore Linux kernel development for safety-critical systems, examining methods to assess and improve its suitability for use in autonomous driving and other high-stakes applications.

Learn how to replace vulnerable UEFI firmware with NERF, an open-source system using a tiny Linux kernel and initramfs, enhancing security and reducing exploit risks in PC and laptop firmware.

Explore container storage options for robust Mesos applications, comparing local and external storage impacts on deployment, operations, and failure tolerance in production environments.

Panel discussion exploring SMACK (Spark, Mesos, Akka, Cassandra, Kafka) implementation in enterprise environments, featuring insights from industry experts at Audi, Deutsche Telekom, and ASML.

Explore how open source and developer experience strategies can empower engineering teams, reduce cognitive load, and enhance productivity in the face of increasing technological complexity.

Explore best practices for high-performance, fault-tolerant systems using Aeron Cluster. Learn strategies for 24/7 availability, intraday changes, and region-wide failure management in financial applications.