#go #builder #buildkit #cloud_native #containers #docker #dockerfile #golang #oci #oci_image

https://github.com/moby/buildkit

#go #cloud_native #ebpf #energy_consumption #energy_efficiency #energy_monitor #kubernetes #machine_learning #prometheus #prometheus_exporter #sustainability

https://github.com/sustainable-computing-io/kepler

#go #cloud_native #kubernetes #kubernetes_operator #logging #operator

https://github.com/kube-logging/logging-operator

#java #cloud_native_java #docker #gradle_plugin #hacktoberfest #kubernetes #maven_plugin #openshift

https://github.com/eclipse/jkube

#html #blueteam #cloud_native #cloud_security #cloudsecurity #container #container_security #devsecops #docker #hacking #infrastructure #k8s #kubernetes #kubernetes_goat #kubernetes_security #owasp #pentesting #redteam #security #vulnerable_app

https://github.com/madhuakula/kubernetes-goat

#go #anns #cloud_native #distributed #embedding_database #embedding_similarity #embedding_store #faiss #golang #hnsw #image_search #llm #nearest_neighbor_search #tensor_database #vector_database #vector_search #vector_similarity #vector_store

Milvus is an open-source vector database designed for embedding similarity search and AI applications. It makes unstructured data search more accessible and provides a consistent user experience across different deployment environments. Key features include millisecond search on trillion vector datasets, simplified unstructured data management, reliable and always-on operations, high scalability, and hybrid search capabilities. Milvus is cloud-native, supports multiple SDKs, and has a strong community with extensive documentation and support channels like Discord and mailing lists. Using Milvus benefits users by enabling fast and efficient vector searches, simplifying data management, and ensuring reliability and scalability in their applications.

https://github.com/milvus-io/milvus

#java #airflow #azkaban #cloud_native #data_pipelines #job_scheduler #orchestration #powerful_data_pipelines #task_scheduler #workflow #workflow_orchestration #workflow_schedule

Apache DolphinScheduler is a powerful tool for managing data workflows. It makes it easy to create and manage complex tasks with a user-friendly interface and low-code options. You can deploy it in several ways, including standalone, cluster, Docker, and Kubernetes, making it flexible for different environments. It's highly reliable, scalable, and performs much faster than other platforms, supporting millions of tasks daily. The tool also offers features like versioning, state control of workflows, multi-tenancy support, and permission control. This helps you manage your data pipelines efficiently and reliably, saving time and effort.

https://github.com/apache/dolphinscheduler