
Explore the evolution of Apache ActiveMQ Artemis 2.0, its high performance capabilities, and new features for handling massive workloads in messaging systems.

Learn to integrate Docker Compose with Apache Mesos frameworks for launching and managing container pods in large-scale clusters, enhancing modular architecture and microservices deployment.

Hands-on IoT workshop covering Bluetooth, beacons, firmware development, and MQTT/AMQP. Participants receive hardware kits for real-world implementation of IoT systems and embedded device programming.

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

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 create fault-tolerant services on Mesos using ArangoDB's Raft-based Agency. Explore key features like automatic failover, component discovery, and continuous supervision for building robust distributed applications.

Explore Cadence, an open-source tool for building complex distributed applications. Learn how it addresses durability, availability, and scalability challenges in long-running business processes and microservices architectures.

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.

Learn to build robust stateful applications using the DC/OS SDK, simplifying development on Apache Mesos and DC/OS platforms while standardizing service interactions and handling common challenges.

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 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.

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

Explore real-time event processing and stateful applications on Apache Mesos, focusing on industrial use cases, PaaS journey, and stream processing platforms. Learn from GE Digital's experience in handling complex workloads.