#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
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#ONT/USDT analysis :
#ONT has successfully broken out and is currently testing a previously respected resistance zone. The price has rebounded from this zone, and it is expected to resume its upward momentum, aiming to test previous highs.
TF : 1D
Entry : $0.2595
Target : $0.3900
SL : $0.2050
#ONT/USDT analysis -
#ONT be in downtrend trading below 200ema. After a corrective pullback, price retraced to 200ema and getting rejected. It is expected to drop from current level and test previous lows.
TF : 4H
Entry : $0.2013
Target : $0.1597
SL : $0.2125