#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
#FIDA/USDT analysis :
A retracement to the 200 EMA is anticipated for #FIDA. Price has broken through a trendline and a minor resistance level, successfully retesting the zone. It is expected to rebound from the current level and move upward to test higher levels.
TF : 2H
Entry : $0.1187
Target : $0.1325
SL : $0.1090
#FIDA/USDT analysis :
#FIDA has rebound from the support zone after multiple tests. The price is anticipated to continue rising and challenge previous highs.
TF : 1D
Entry : $0.2267
Target : $0.2900
SL : $0.1840
#FIDA result
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