
Explore microservice interaction patterns: choreography vs orchestration. Learn pros, cons, and tools for each approach, with demos and a case study on combining both methods.

Transferring enterprise architecture knowledge to startups: balancing flexibility, scalability, and maintainability while embracing fearless technical choices in uncertain environments.

Discover how application vulnerabilities can lead to full Kubernetes cluster takeover. Learn crucial best practices to prevent such attacks and secure your containerized infrastructure.

Explore Explainable AI and its role in fostering trust in AI systems. Learn about the TrustyAI initiative, different types of explanations, and the importance of transparency in AI decision-making.

Explore location transparency's role in building scalable, distributed systems. Learn how it impacts coherence, coupling, and connascence metrics, and its significance in DDD, CQRS, and Event Sourcing.

Explore Vertex AI Pipelines for MLOps workflows, covering experiment pipelining, infrastructure management, and practical examples of machine learning development and deployment cycles.

Explore cost-effective simulation-based testing for self-driving cars using SDC-Scissor, a machine learning framework to enhance safety and reduce testing costs.

Hands-on live-hacking session exploring Node.js cloud native vulnerabilities, threats, and misconfigurations. Learn to protect your applications with actionable remediation and best practices for each demonstrated exploit.

Explore the Strangler Fig Pattern for modernizing legacy systems using Change Data Capture, connectors, and stream processing techniques.

Improve on-call monitoring: reduce noise, automate, build actionable triggers, and tune constantly for easier engineer experiences during 24/7 system health responsibilities.

Explore Kubernetes-native CI/CD with Tekton and ArgoCD. Learn in-cluster builds, declarative pipelines, and efficient multi-cluster deployments for cloud-native applications.

Explore container-based testing with MicroShed and Testcontainers frameworks to create true-to-production environments, enhancing cloud-native application development and testing efficiency.

Comparison of remote pair programming tools for IDEs, showcasing features and drawbacks to help developers choose the best option for collaborative coding in virtual environments.

Explore automation in Kubernetes with a comparison of Operators and Helm Charts, featuring code examples and practical insights for efficient cluster management.

Explore AI's potential to predict property prices using image analysis, uncovering innovative applications in real estate valuation and market trends.

Explore functional programming principles for building robust and maintainable web APIs, enhancing code quality and reducing complexity in backend development.

Explore Kubernetes automation with Helm charts and operators, comparing their use cases and complementary roles through code examples and practical insights.

Explore practical anomaly detection in cloud data and images using AWS services, without requiring machine learning expertise. Learn to identify defects and outliers efficiently.

Explore principles for designing effective Java APIs, focusing on consistency, simplicity, and user-friendliness. Learn from real-world examples and Java standard libraries to create intuitive and robust interfaces.

Explore building Spring Boot applications with Redis Stack, leveraging multiple data models and functionalities like document store, graph database, and full-text search through Redis OM Spring.

Explore how to maintain synchronized read views in distributed caches using change data capture, Debezium, Apache Kafka, and Infinispan. Learn to create denormalized data views and implement cross-site replication for cache updates.