#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
#CTSI/USDT analysis :
#CTSI is currently trading at a support zone and is expected to bounce back from this level, rising to test the resistance zone. A potential gain of 140% is anticipated from the current level.
TF : 1W
Entry : $0.1405
Target : $0.3404
SL : $0.0888
#CTSI/USDT analysis :
#CTSI has bounced off from the support zone and is expected to continue its bullish momentum towards the previous swing high.
TF : 30min
Entry : $0.1250
Target : $0.1295
SL : $0.1218