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

Explore etcd v3's changes, including gRPC introduction, and learn about failure scenarios, cluster management, and backup/restore processes for Kubernetes and cloud-native projects.

Explore Mesos frameworks for efficient application deployment and operation at scale. Learn to choose the right framework based on workload requirements and implementation specifics.

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 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 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 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.

Discover 8 essential tips to enhance Mesosphere Marathon performance, prevent outages, and optimize large-scale production installations in distributed systems.

Deep dive into container networking for micro-services using Apache Mesos, exploring challenges and solutions for connectivity, service discovery, load-balancing, and isolation in distributed architectures.

Learn best practices for securing Kubernetes clusters, covering control plane components, worker nodes, CIS Benchmarks, RBAC, audit logs, and network policies to enhance cluster protection.

Explore Kubespray's versatile Kubernetes cluster management capabilities, future roadmap, and community involvement opportunities for deploying and maintaining production-grade clusters across platforms.

Explore efficient co-location of CPU and GPU workloads in Kubernetes, including QoS class creation, cgroup management, gang scheduling, and utilization evaluation for improved resource efficiency.

Explore LinkedIn's journey in adopting Kubernetes for cluster management, addressing challenges and integrating with existing systems at scale.

Explore Yahoo! Japan's approach to managing hundreds of Kubernetes clusters, including zero-downtime upgrades, custom extensions, and efficient on-premise operations for serving 130 million users.

Explore container runtime interfaces, various runtimes, and their pros/cons in Kubernetes. Learn how to choose and customize runtimes for your cluster and discover future trends.

Explore Kubernetes master scalability beyond 5k nodes. Learn benchmarking, profiling, and optimization techniques to achieve 100x performance improvement for large-scale cluster management.

Strategies for installing, upgrading, and managing Kubernetes offline. Learn about using Kubespray and Harbor in bare metal environments for offline infrastructure management.

Learn to optimize GPU usage for deep learning on Kubernetes, reducing costs by up to 40%. Explore GPU sharing solutions, API design, scheduling, and isolation techniques with practical Tensorflow examples.

Explore Docker's Swarm mode for cluster management, covering basics, configurations, and production-ready workflows for efficient operations and deployments.