
Integrating cloud-native tools with Java frameworks for simplified development. Learn unified APIs, architectural patterns, and seamless local-to-production workflows using Testcontainers, Dapr, and Ngrok with Spring Boot and Quarkus.

Explore AWS Lambda's integration with container images, covering development, deployment, and optimization. Learn how containers enhance serverless computing for improved speed, efficiency, and scalability in the cloud.

Discover how Apache Pulsar serves as a scalable messaging platform, offering unified data streaming, multi-tenancy, and seamless integration with container environments - all while providing an alternative to traditional message brokers.

Discover how Kubernetes has evolved to effectively manage stateful applications, from databases and big data to machine learning workloads on Google Kubernetes Engine.

Explore eFishery's 4-year journey with HashiCorp Nomad, from startup scaling to enterprise transition, covering implementation challenges, operational insights, and the strategic shift to Kubernetes.

Explore security challenges and solutions for Kata Containers in service mesh environments, focusing on threat models, infrastructure sidecar designs, and performance benchmarks.

Discover effective strategies for implementing continuous delivery in microservice architectures, addressing common challenges and orchestrating CI/CD practices for distributed systems.

Explore the intricacies of Kubernetes-Octavia integration in OpenStack, covering configuration choices, troubleshooting methods, and alternative solutions for exposing services effectively.

Explore effective message delivery in distributed systems through Outbox and Inbox patterns, ensuring transaction consistency and handling network disruptions in microservices architecture.

Explore distributed systems architecture, from CAP theorem fundamentals to microservices communication patterns, timeout configurations, and practical implementation strategies for robust systems.

Master distributed system monitoring with OpenTelemetry tracing, exploring implementation techniques and best practices for tracking requests across microservices architectures using open standards.

Explore vector search at billion-scale through Milvus, understanding distributed systems architecture, indexing strategies, and scalability solutions for unstructured data processing.

Discover how to process millions of news articles daily using open-source tools like Flowdapt, Qdrant, vLLM, and TEI for real-time RAG applications, with insights on scaling, deployment, and startup advantages.

Discover how to implement OpenTelemetry in Java applications for enhanced monitoring and observability across microservices, without modifying existing code. Learn configuration techniques and trace propagation.

Dive into MicroProfile LRA and discover effective strategies for managing stateful microservices and long-running transactions in cloud environments, challenging traditional architectural assumptions.

Discover how to leverage MicroProfile Metrics with Kubernetes HorizontalPodAutoscaler and Prometheus Adapter to create intelligent, application-specific scaling solutions for microservices deployments.

Discover how to build Kubernetes operators and webhooks using Java and Jakarta EE, challenging the Go-centric approach while leveraging familiar RESTful WebServices for container automation.

Explore Kamelets as event sources in Knative, learn installation, discovery, deployment, and management. Live demo showcases integration with event-driven applications using Apache Camel connectors.

Explore Knative's evolution from Elafros to CNCF incubation, its community growth, upcoming features, and how to get involved in this serverless computing platform.

Leveraging Knative for scalable ML inference platforms: simplifying deployment, enabling serverless containers, and optimizing performance for production-ready machine learning applications.

Explore SIG-Multicluster's focus on managing multiple Kubernetes clusters across cloud providers. Learn about best practices, current projects, and future directions in multi-cluster deployments and ClusterSets.