#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
#CHR/USDT analysis :
#CHR is currently retracing towards a previously tested support zone. The price is expected to bounce from this level and resume its bullish momentum, aiming to test previous highs. For a long entry, it is advisable to wait for a breakout above the $0.2750 level.
TF : 4H
Entry : $0.2750
Target : $0.3440
SL : $0.2370
#CHR/USDT analysis :
#CHR has broken and retested the support zone, which is now acting as resistance for the price. The price is anticipated to continue its bearish momentum and test lower levels.
TF : 2H
Entry : $0.1780
Target : $0.1701
SL : $0.1838
#CHR/USDT analysis :
#CHR is currently consolidating above the support zone and the 200 EMA. The price is expected to sustain its bullish momentum and establish new highs. It is advisable to await a pullback for a long entry.
TF : 1H
Entry : $0.1862
Target : $0.2163
SL : $0.1755