#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
#KNC/USDT analysis :
#KNC is retracing towards the 200 EMA, indicating potential upside. The price is respecting the trendline and bouncing back, which suggests a good opportunity for a long entry. Previous highs will serve as target levels.
TF : 4H
Entry : $0.4198
Target : $0.4582
SL : $0.3939
#KNC/USDT analysis :
#KNC is currently in a downtrend, trading below the 200 EMA. The price is forming a pattern of lower lows and lower highs. At present, the price is facing resistance near the 200 EMA, suggesting a potential reversal from this point to maintain its bearish movement and establish a new lower low.
TF : 4H
Entry : $0.4419
Target : $0.4083
SL : $0.4589