#go #app_mesh #cloud_native #cncf #consul #control_plane #docker #envoy #gitops #golang #gsoc #hacktoberfest #infrastructure_as_code #istio #kubernetes #linkerd #management_plane #meshery #reactjs #service_mesh #visualization

https://github.com/meshery/meshery

#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

#c_lang #bigdata #cloud_native #cluster #connected_vehicles #database #distributed #financial_analysis #industrial_iot #iot #metrics #monitoring #scalability #sql #tdengine #time_series #time_series_database #tsdb

TDengine is a powerful, open-source time-series database designed for handling large amounts of data from IoT devices, connected cars, and industrial IoT. Here are the key benefits It can handle billions of data collection points efficiently, outperforming other time-series databases in data ingestion, querying, and compression.
- **Simplified Solution** Designed for cloud environments, it supports distributed design, sharding, partitioning, and Kubernetes deployment.
- **Ease of Use** Makes data exploration and access efficient through features like super tables and pre-computation.
- **Open Source**: Available under open source licenses with an active developer community.

Using TDengine helps you manage and analyze large-scale time-series data efficiently, making it ideal for various IoT and industrial applications.

https://github.com/taosdata/TDengine

#go #ai_gateway #ai_native #api_gateway #cloud_native #envoy

Higress is a powerful API gateway that uses AI and is built on top of Envoy and Istio. It helps manage traffic for AI services, microservices, and other applications. Here are the key benefits You can start Higress with just a Docker command, making it simple for personal developers to set up and use.
- **AI Integration** It is designed for large-scale scenarios, handling tens of thousands of requests per second without disrupting the service.
- **Flexible Expansion** It includes WAF protection, multiple authentication strategies, and automatic SSL certificate management, ensuring your applications are secure.

Overall, Higress makes managing and scaling your applications easier, more efficient, and secure.

https://github.com/alibaba/higress