
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.

Discover how Astronomer transitioned from AWS-managed services to open-source solutions, enhancing flexibility and independence in their data engineering platform.

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.

Learn to develop, deploy, and manage FAST data solutions using DC/OS on Azure. Explore stateful containers, Cassandra, Kafka, and third-party workflow management in this demo-rich session.

Explore building a scalable, multi-tenant cloud storage system using containerized applications and Cloud Native architecture, with a live demo of a Dropbox-like product.

Learn best practices, challenges, and lessons for deploying Apache Kafka on DC/OS. Explore Kafka's role in real-time data pipelines and its integration with microservices in DC/OS environments.

Insights on deploying microservices in diverse customer environments, addressing challenges, and adapting strategies for successful implementation across various infrastructure setups.

Learn to run distributed TensorFlow on DC/OS, addressing challenges in large-scale machine learning. Explore framework design, live demo, and practical implementation for efficient model training on your infrastructure.

Learn how Apache Flink integrates with Apache Mesos and DC/OS for distributed real-time data processing. Explore challenges, architecture modeling, and packaging for seamless deployment on datacenter-scale systems.

Insights on running stateful services on DC/OS, addressing challenges and providing solutions based on real-world projects with large container users.

Learn to reduce recovery times and achieve high availability for distributed applications on DC/OS using external persistent volumes, with practical examples and demonstrations.

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.

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

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.

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 deployment, monitoring, and debugging options for Mesos, Marathon, and DC/OS. Learn how to manage production applications, handle infrastructure, and ensure smooth operations in distributed environments.

Overview of Spinnaker for continuous delivery on DC/OS, focusing on safe and reliable deployment of healthcare services. Covers multi-cloud support, deployment strategies, and automation features.