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Source channel @githubtrending · Post #14641 · Apr 27

#go#cloud#devsecops#k8s#kubernetes#mesh#mesh_network#network#networking#overlay_network#security#self_hosted#virtual_network#virtual_networking#vpn#vpn_server#wg_quick#wireguard#wireguard_ui#wireguard_vpn#zero_trust Netmaker is a powerful tool for creating and managing secure networks. It uses WireGuard to provide fast and secure connections, allowing you to connect devices anywhere in the world. With features like mesh VPNs and multi-network segmentation, you can organize your networks securely and efficiently. Netmaker also offers robust access controls and integration with OAuth for secure user management. This helps keep your network safe and compliant, making it ideal for businesses managing complex network setups. https://github.com/gravitl/netmaker

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@githubtrending · Post #14693 · 05/10/2025, 12:00 PM

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#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai