
Explore Fort Kairos, an open-source project revolutionizing secure Linux for untrusted edge environments using Trusted Boot, TPM, and disk encryption.

Optimize distributed tracing costs while maintaining effectiveness. Learn span tweaking, custom sampling, and OpenTelemetry techniques to balance observability and expenses in cloud environments.

Discover unmanaged secrets, understand risks of not rotating credentials, and learn how HCP Vault Radar detects exposed data to enhance security and reduce attack surface.

Set up DNS, Global Load Balancer, and Identity-Aware Proxy to access Nomad's web UI on Google Cloud. Learn to inspect clusters, submit, and manage jobs via browser interface.

Explore AI innovations from cloud to edge, featuring PyTorch Conference 2024 highlights, KleidiAI-accelerated demos, and new learning paths for developers in Arm's ecosystem.

Explore Durable Execution Engines to build resilient e-commerce backends. Learn to track user carts, ensure single payments, and manage order delivery while handling crashes and recoveries.

Develop cutting-edge GenAI applications for enterprises using Java, AI orchestration frameworks, and multiple LLMs. Learn hands-on with a real-world production use-case in a serverless environment.

Explore serverless compute options for event-driven architectures. Learn to leverage AWS Lambda and ECS on Fargate for scalable, efficient business logic execution in response to events.

Explore platform engineering's role in transforming monolithic systems to multi-services architectures, focusing on key principles, migration strategies, and best practices for scaling.

Explore LangChain4j framework to build AI-powered Java apps. Learn to integrate LLMs, generate images, and create advanced RAG systems. Dive into Quarkus integration for efficient development and deployment.

Explore challenges and solutions in virtual CPU scheduling for improved virtualization performance and efficiency.

Explore Linux-based paravisor OpenHCL for Confidential VMs, enhancing security and isolation in virtualized environments.

Explore cutting-edge techniques for optimizing machine learning models, focusing on efficiency and performance in real-world applications.

Explore business continuity and disaster recovery concepts for data and AI platforms, focusing on Databricks' best practices and planning strategies.

Explore the development of a sovereign European AI compute infrastructure, focusing on key strategies, challenges, and potential impacts on the tech landscape.

Explore AI technologies in the exascale era, examining their impact on computing's future and potential advancements in computational power and capabilities.

Learn to launch and manage cloud applications using OpenShift and Red Hat Developer Hub. Discover free tools and techniques for efficient cloud app development and deployment.

Automate AI infrastructure management on Kubernetes using Operators. Learn to streamline cluster provisioning, hardware configuration, and model deployment for efficient ML application deployment.

Explore ethical AI development in Asia, focusing on data privacy, cybersecurity, and regulatory compliance. Learn strategies to champion responsible practices in the region's diverse tech landscape.

Explore Distributed Async Await, a new cloud programming model extending async-await simplicity. Learn theoretical foundations and practical insights for crafting delightful, scalable cloud applications.

Deploy LLM workloads efficiently on Kubernetes using WasmEdge and Kuasar. Explore solutions for faster container startup, reduced management overhead, and enhanced scalability in LLM operations.