#go #dashboard #database_monitoring #ebpf #kubernetes #log_analysis #metrics #microservice #monitoring #network_monitoring #observability #postgresql_monitoring #prometheus #service_map

https://github.com/coroot/coroot

#erlang #demo_app #jaeger #opentelemetry #opentelemetry_collector #opentelemetry_dotnet #opentelemetry_erlang #opentelemetry_go #opentelemetry_java_agent #opentelemetry_javascript #opentelemetry_python #opentelemetry_rust #prometheus

https://github.com/open-telemetry/opentelemetry-demo

#other #aws #azure #computer_science #continous_delivery #continuous_integration #developer_roadmap #devops #devops_roadmap #docker #go #grafana #jira #kubernetes #linux #prometheus #python #roadmap #sre #study_plan

https://github.com/milanm/DevOps-Roadmap

#python #instrumentation #metrics #prometheus

https://github.com/prometheus/client_python

#go #blackbox_exporter #icmp #prometheus #prometheus_exporter

https://github.com/prometheus/blackbox_exporter

#go #asynq #dtm #elasticsearcg #filebeat #gitlab #go_queue #go_stash #go_zero #goctl #golang #gozero #grafana #harbor #jaeger #jenkins #k8s #kafka #microservices #modd #prometheus

https://github.com/Mikaelemmmm/go-zero-looklook

#lua #cdn #grafana #load_balancer #luajit #nginx #openresty #prometheus #tutorial #wrk

https://github.com/leandromoreira/cdn-up-and-running

#go #argocd #bash_script #ci_cd #devops #docker #git #github_actions #gitops #grafana #helm #jenkins #kubernetes #linux #networking #portainer #prometheus #yaml

https://github.com/Pradumnasaraf/DevOps

#go #automated_failover #business_continuity #database #database_management #devops #disaster_recovery #failover #high_availability #json_logging #k8s #kubectl_plugin #kubernetes #operator #postgres #postgresql #prometheus_exporter #replication #self_healing #sql #switchover

https://github.com/cloudnative-pg/cloudnative-pg

#go #host_metrics #machine_metrics #metrics #node_metrics #procfs #prometheus #prometheus_exporter #system_information #system_metrics

https://github.com/prometheus/node_exporter

#java #alert #apm #collector #data_collection #data_collector #distributed #jdbc #jmx #linux #monitor #monitoring #prometheus #self_hosted #selfhosted #snmp #springboot #ssh #uptime #uptime_monitor #zabbix

https://github.com/dromara/hertzbeat

#go #kubernetes #kubernetes_exporter #kubernetes_monitoring #metrics #monitoring #observability #prometheus #prometheus_exporter

https://github.com/kubernetes/kube-state-metrics

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

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

#cplusplus #audio #c #c_plus_plus #dash #hevc #hls #live #live_streaming #low_latency #media_server #multimedia #prometheus_exporter #rtmp #server_side #srt #streaming #video #video_conferencing #video_streaming #webrtc

SRS (Simple Realtime Server) is a powerful and efficient video server that supports multiple streaming protocols like RTMP, WebRTC, HLS, and more. It works on various operating systems (Linux, Windows, macOS) and hardware architectures. You can easily set it up using Docker and stream videos using tools like FFmpeg or OBS. SRS is free and open-source, licensed under MIT, making it a great choice for developers to build high-quality streaming platforms. It also offers extensive documentation and community support, making it easier to get started and troubleshoot issues.

https://github.com/ossrs/srs

#go #cluster #database #grafana #graphite #influxdb #k8s #kubernetes #monitoring #observability #opentsdb #prometheus #promql #scalability #thanos #tsdb

VictoriaMetrics is a fast, cost-saving, and scalable solution for managing time series data. It offers high performance and reliability, making it ideal for businesses of all sizes. Key benefits include long-term storage for Prometheus and Graphite, powerful stream aggregation, support for large amounts of data from various sources, and easy setup with a small binary. It also supports multiple protocols and has features like anomaly detection, backup automation, and downsampling in its Enterprise version. This tool reduces storage costs and outperforms other solutions in terms of memory footprint and data compression, making it highly efficient for handling large datasets.

https://github.com/VictoriaMetrics/VictoriaMetrics

#typescript #alerting #analytics #business_intelligence #dashboard #data_visualization #elasticsearch #go #grafana #hacktoberfest #influxdb #metrics #monitoring #mysql #postgres #prometheus

Grafana is a free tool that helps you monitor and understand your data. You can use it to create graphs, dashboards, and alerts for your metrics and logs. It allows you to mix data from different sources and explore your data in various ways. You can also share dashboards with your team and set up notifications for important changes. This helps you make better decisions based on your data and keeps your team informed. To get started, you can download Grafana and follow the installation guides.

https://github.com/grafana/grafana

#python #cloud_native #cncf #deep_learning #docker #fastapi #framework #generative_ai #grpc #jaeger #kubernetes #llmops #machine_learning #microservice #mlops #multimodal #neural_search #opentelemetry #orchestration #pipeline #prometheus

Jina-serve is a tool that helps you build and deploy AI services easily. It supports major machine learning frameworks and allows you to scale your services from local development to production quickly. You can use it to create AI services that communicate via gRPC, HTTP, and WebSockets. It has features like built-in Docker integration, one-click cloud deployment, and support for Kubernetes and Docker Compose, making it easy to manage and scale your AI applications. This makes it simpler for you to focus on the core logic of your AI projects without worrying about the technical details of deployment and scaling.

https://github.com/jina-ai/serve