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Mastering Kubernetes debugging: Strategies, tools, and techniques for troubleshooting common errors in deployments, RBACs, NetworkPolicies, and more. Enhance your skills to build robust, easily debuggable applications in K8s environments.
Explore building AI applications with LLMs using Quarkus and Langchain4j. Learn data ingestion strategies and integration with Apache Camel for comprehensive resource utilization in Java-based AI development.
Explore cloud-based IDEs like Gitpod and GitHub Codespaces, comparing them to traditional IDEs. Learn about container-based development, focusing on JVM languages and the benefits for polyglot, distributed application development.
Yodeck's journey from zero QA to a robust department: strategies, challenges, and successes in building a quality assurance powerhouse from scratch in a fast-growing tech company.
Explore AI-infused lakehouses: integrating generative AI with data platforms for enhanced code generation, natural language queries, and semantic search. Includes live demo of IoT event processing.
Explore AFEA architecture, unifying API and event-driven approaches for flexible, scalable systems. Learn strategic DDD and developer portal integration.
Explore Kubernetes resiliency strategies for infrastructure, components, and applications. Learn to identify and address single points of failure, optimize resource management, and implement robust monitoring techniques.
Explore data engineering's role in AI, addressing scalability and real-time processing challenges. Learn from case studies and gain insights into future trends shaping the field's evolution.
Explore Kubernetes observability tools, from API-querying UIs to service meshes and application monitoring, to understand cluster health and performance.
Explore effective communication strategies for diverse IT teams, using fantasy archetypes to understand and navigate different personality types in the workplace.
Explore Behavior-Driven Development to enhance collaboration, communication, and shared understanding between technical and non-technical stakeholders in software projects.
Comprehensive overview of distributed system approaches, comparing architectures like SOA, REST, and RPC. Explores their strengths, weaknesses, and ideal use cases for informed decision-making.
Explore the creation of a trader-focused chatbot using Generative AI, covering prompt engineering, Retrieval Augmented Generation, and unconventional tech choices for robust, scalable solutions.
Explore continuous value delivery in chaotic times. Learn why small, fast steps and experimentation are crucial for adapting to rapid changes in technology and business landscapes.
Explore green technology innovation in cloud computing using Kepler and KEDA. Learn how to build environmentally conscious infrastructure and address climate change through sustainable cloud-native solutions.
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