#python #airflow #airflow_operators #aws #aws_ec2 #aws_s3 #aws_sdk #cassandra #cassandra_database #cloudformation #cluster #data #data_engineering #data_engineering_pipeline #data_lake #data_modeling #data_warehouse #etl_pipeline #infrastructure #postgres #postgresql_database

https://github.com/san089/Udacity-Data-Engineering-Projects

#python #administration #database #dba #management #postgres #postgresql #postgresql_database

https://github.com/pgadmin-org/pgadmin4

#java #baas #clickhouse #crud #databricks #elasticsearch #hadoop #hive #influxdb #low_code #lowcode #milvus #nocode #oracle #postgresql #postgresql_database #serverless #snowflake #sqlserver #tdengine #tidb

APIJSON is a powerful tool that simplifies the development of APIs and reduces the workload for both front-end and back-end developers. Here are the key benefits APIJSON provides automatic generation of APIs and documentation, eliminating the need for manual coding of CRUD (Create, Read, Update, Delete) operations and documentation.
- **Customizable** It significantly reduces development and communication costs, simplifies the development process, and shortens the development cycle.
- **Compatibility** APIJSON automatically manages versions, controls permissions, and prevents SQL injection attacks.
- **Community Support**: It has a strong community with extensive documentation, video tutorials, and a large number of contributors and users from major companies like Tencent, Huawei, and Baidu.

Overall, APIJSON streamlines API development, making it faster, more efficient, and less prone to errors.

https://github.com/Tencent/APIJSON

#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