
Explore code generation in Go for improved patterns and developer experience. Learn to automate telemetry, decorators, ORMs, and schema-first approaches without increasing complexity or runtime errors.

Enhance Golang apps with WebAssembly and Extism. Create polyglot plugins, build microservices, and explore FaaS potential using WASM modules and WASI runtimes for improved speed, efficiency, and security.

Explore Service Weaver, a Go framework for high-performance distributed apps. Learn to simplify development, improve latency, reduce costs, and optimize cloud deployments compared to traditional microservices.

Explore building a cloud platform for global Go app deployments using BareMetal, Nomad, Kuma, and gRPC. Learn key strategies for worldwide distribution and scalability.

Explore cloud-based VST parameter storage using AWS Amplify, GraphQL, and Cognito. Learn to create a serverless project for accessing and sharing audio settings across devices.

Migrate workloads to Arm-based cloud instances for better performance, lower costs, and sustainability. Learn through hands-on examples and demonstrations on various cloud platforms.

Explore TOSA, a standardized operator set for Machine Learning accelerators, addressing inconsistencies in ML frameworks and enabling device portability and cloud-first development for edge devices.

Leverage Ethos-U65 microNPU and Cortex-A55 CPUs on NXP's i.MX 93 for energy-efficient ML vision apps. Explore NXP's eIQ ML environment and Arcturus solutions for smart occupancy sensing and edge vision applications.

Explore DavinSy's AI system for solving TinyML challenges, enabling training on Arm-powered embedded devices using real-time data. Learn fast prototyping and deployment techniques for Arm development boards.

Explore AI on edge devices using Arm's tools and resources. Learn about CMSIS-Packs, Arm Virtual Hardware, and Keil Studio Cloud for efficient ML application development and deployment.

Optimize Kubernetes workloads on Arm processors for efficiency and sustainability. Learn strategies, overcome obstacles, and gain practical tips for migrating clusters and managing multi-architecture deployments.

Explore practical TinyML applications and techniques with expert Gian Marco Iodice, gaining insights into efficient machine learning on resource-constrained devices.

Dive deep into OpenShift on Arm architecture with Red Hat expert Duncan Hardie. Explore deployment strategies, performance optimizations, and best practices for Arm-based infrastructure.

Explore chains of trust in Confidential Computing, including attestation techniques for VMs, containers, and clusters. Learn about roots of trust, verification processes, and key technologies.

Explore a Zero-Trust vTPM for AMD SEV-SNP Confidential VMs, enabling secure measurements and attestation without relying on cloud service providers. Learn about its implementation and benefits for data protection.

Explore AMD SEV-TIO technology for enhanced security and improved I/O performance in confidential computing environments, focusing on secure device-guest bindings and lifecycle management.

Explore virtual CPU hotplug challenges and solutions for architectures lacking physical CPU hotplug support. Gain insights into progress, requirements, and future developments in cloud virtualization.

Explore NGINX's powerful features for web serving, load balancing, and reverse proxying. Learn installation, configuration, and optimization techniques to enhance your web infrastructure.

Deploy and run Landscape beta on Oracle Cloud's Always Free tier. Learn to set up virtual machines, configure Juju, implement SSL, and manage the Landscape system for efficient Ubuntu server management.

Explore the evolution of Charmed Operators in OpenStack deployment, from automated to automatic ops, and learn about the hybrid model combining Kubernetes and machine charmed operators.

Explore integrating Juju with Terraform for enhanced infrastructure provisioning and application lifecycle management. Learn about use cases and roadmaps for Juju tools and libraries.