
Explore event-driven patterns for building composable, scalable, and resilient distributed systems, moving beyond traditional request/response models to simplify cloud-native architecture.

Explore building an open-source APM using OpenTelemetry, Prometheus, and Jaeger. Learn implementation strategies, risks, and upcoming improvements in the OTel community for cost-effective application performance monitoring.

Explore chaos experimentation as a test-driven development approach for distributed systems, enhancing reliability and validating changes throughout the software lifecycle.

Explore efficient management and automation of enterprise-class storage systems in software-defined datacenters with Red Hat Storage manager's integrated solutions and features.

Explore deep integration between OpenStack and Ceph, covering deployment options, multisite configurations, and performance optimization with technologies like Intel SSDs. Learn architectural best practices for cloud infrastructure.

Explore the evolution of messaging and event-driven architecture, from enterprise integration to serverless computing, with practical insights for building on Red Hat OpenShift.

Explore service meshes: their definition, benefits, and future in distributed systems. Learn how they enhance visibility, reliability, and security in cloud environments.

Insights on building a fast, scalable architecture using Openshift Container Platform and Red Hat Gluster Storage for video encoding and streaming at Sky Italia.

Explore deterministic storage performance in OpenStack and Ceph, emulating AWS EBS. Learn to manage QoS, combine Ceph pools with Cinder Volume Types, and optimize performance based on storage media.

Explore distributed randomness generation, its importance in cryptography, and the innovative drand protocol for secure, decentralized random number creation.

Explore automotive cybersecurity evolution, vulnerabilities in modern vehicles, and the impact of research disclosure on industry and government responses to these critical issues.

Explore the future of Apache Mesos and DC/OS, covering container orchestration, stateful services, machine learning, and GPU-based scheduling. Gain insights into evolving ecosystem and upcoming developments.

Explore building scalable streaming microservices using Apache Kafka and Apache Mesos. Learn about Kafka brokers, Kafka Streams API, and Mesos deployment options through live demos and real-world examples.

Explore automated performance tuning using Bayesian optimization for efficient resource management in large-scale microservice architectures, focusing on JVM optimization and continuous improvement.

Learn to monitor Mesos using InfluxDB and the TICK stack. Explore time series data, querying, and visualization tools for comprehensive infrastructure and application visibility.

Explore efficient parallel algorithms for graph reachability, focusing on distributed computing and improved runtime complexity in large-scale networks.

Explore deterministic distributed algorithms for expander decompositions and routing, with applications in derandomization. Learn about balanced sparse cut algorithms and recursive techniques.

Explore the intersection of cryptography, distributed systems, and data privacy in the digital age. Learn how new technologies can counter data centralization and shape the future of enterprise infrastructure.

Explore FoundationDB's storage engine, its distributed architecture requirements, and a new design offering higher write throughput, smaller space footprint, and configurable long-running read transactions.

Explore the trade-offs between security and consistency in transaction scheduling, with real-world examples and attack demonstrations in information flow control systems.

Explore Docker build optimization techniques, including multi-stage builds, caching strategies, and observability tools, to enhance deployment efficiency and troubleshoot performance issues.