#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
#DEXE/USDT analysis :
#DEXE is currently in an uptrend on the higher time frame (HTF). The price is in an accumulation phase, consolidating sideways. A breakout from this consolidation is anticipated soon, which would likely continue the bullish rally and test the swing high. We should look for potential pullbacks to establish long entries.
TF : 1W
Entry : $8.260
Target : $18.100
SL : $6.340
#DEXE/USDT analysis :
#DEXE is currently facing resistance from the 200 EMA on the daily time frame. On the 4-hour time frame, it has broken and retested the support zone. The price is now likely to continue its bearish momentum and test new lows.
TF : 4H
Entry : $8.461
Target : $7.953
SL : $8.783