#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
#LRC/USDT analysis :
#LRC has retraced to the previous resistance zone, which is now acting as support for the price. From this level, bullish momentum is expected, with the previous swing high serving as the target level for upward movement.
TF : 1D
Entry : $0.1700
Target : $0.3338
SL : $0.1300
#LRC/USDT analysis -
#LRC is currently experiencing a downtrend and is trading below the 200-day Exponential Moving Average (EMA). The price is undergoing a pullback and is anticipated to test the resistance zone close to the 200 EMA shortly before potentially declining further to retest the previous lows.
TF : 4h
Entry : $0.1890
Target : $0.1601
SL : $0.1994
#LRC has a symmetrical triangle pattern on Daily time frame,in the case of breakup we will see another huge pump again 🚀
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#LRC bounced back from the Demand zone also touched the curve on Weekly time frame,we need a bullish momentum to breakup this pattern 🚀
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️