#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
#SHIB/USDT analysis :
The price of #SHIB has recently broken out of its trendline, indicating a potential bullish momentum. While a retracement to the 200 EMA is expected, the overall sentiment suggests that the price is likely to move upwards and test the swing high level.
TF : 4h
Entry : $0.00001480
Target : $0.00001734
SL : $0.00001313
#SHIB/USDT analysis :
#SHIB has successfully broken out of the trendline, demonstrating a strong bullish movement. It is anticipated that this upward momentum will continue, allowing the price to test higher levels.
TF : 1D
Entry : $0.00002536
Target : $0.00004567
SL : $0.00001827
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