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Discover how to build effective technology operating models that enable successful enterprise AI adoption at scale.
Explore GenAI framework observability using Spring AI, Vercel AI, and Semantic Kernel with OpenTelemetry to monitor LLM applications through practical code examples.
Discover seamless containerized workload management, migration, and protection across hybrid and multi-cloud environments using OpenShift and Portworx Kubernetes storage solutions.
Uncover systemic challenges affecting women and gender-diverse professionals in New Zealand's tech sector through comprehensive research combining survey data and interviews.
Discover Bytesize Architecture Sessions, a workshop technique for improving team knowledge sharing and alignment on system design and future architecture goals.
Discover how GitHub Copilot, an AI pair programmer, can enhance your coding efficiency by suggesting code, explaining concepts, and translating between languages.
Explore Argo Events and Argo Workflows for building event-driven workflows on Kubernetes. Learn concepts, architecture, and best practices for combining these tools in production environments.
Explore WebAssembly as an alternative for extending Kubernetes Scheduler, understanding its benefits, challenges, and implementation details compared to the Scheduling Framework.
Discover how Knative enhances serverless deployments, improves resource utilization, and boosts productivity in cloud-native environments.
Explore Kappa architecture, stream processing, and LLM integration for innovative application development. Learn to build scalable systems leveraging real-time data and AI capabilities.
Discover strategies for managing open-source projects through growth stages, balancing user engagement, and informing project roadmaps based on HashiCorp's experience.
Explore Aeron's features for optimal cloud performance: multi-node distribution, DNS, fault tolerance, and performance extensions.
Unlock global business expansion with cloud-native strategies. Learn to scale, drive growth, and create value through effective technology planning and implementation.
Explore data mesh principles and application platforms to empower AI/ML teams, foster innovation, and streamline model development through democratized data access and collaborative workflows.
Explore platform engineering as a solution for managing complexity in fast-paced IT environments with multiple teams and tech stacks.
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