#go #metrics #prometheus #tsdb

https://github.com/grafana/mimir

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

https://github.com/coroot/coroot

#c_lang #c #cloudnative #data_collector #fluent_bit #fluentd #forwarder #log #logging #metrics #sql_queries #stream_processing #traces

https://github.com/fluent/fluent-bit

#python #instrumentation #metrics #prometheus

https://github.com/prometheus/client_python

#java #cpu #deep_learning #docker #gpu #kubernetes #machine_learning #metrics #mlops #optimization #pytorch #serving

https://github.com/pytorch/serve

#other #adblock #adguard #ads #blacklist #blocklist #coins #dns #domains #fake #filterlist #hosts #malware #metrics #phishing #pi_hole #privacy #scam #telemetry #threat_intelligence_feeds #tracking

https://github.com/hagezi/dns-blocklists

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

https://github.com/prometheus/node_exporter

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

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

#python #computer_science #computer_science_rankings #conference #dblp #faculty #metrics #ranking

https://github.com/emeryberger/CSrankings

#python #classification #coco #computer_vision #deep_learning #hacktoberfest #image_processing #instance_segmentation #low_code #machine_learning #metrics #object_detection #oriented_bounding_box #pascal_voc #python #pytorch #tensorflow #tracking #video_processing #yolo

Supervision is a powerful tool for building computer vision applications. It allows you to easily load datasets, draw detections on images or videos, and count detections in specific zones. You can use any classification, detection, or segmentation model with it, and it has connectors for popular libraries like Ultralytics and Transformers. Supervision also offers customizable annotators to visualize your data and utilities to manage datasets in various formats. By using Supervision, you can streamline your computer vision projects and make them more reliable and efficient. Additionally, there are extensive tutorials and documentation available to help you get started quickly.

https://github.com/roboflow/supervision

#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 #alerting #ccf #metrics #monitoring #nightingale #observability #open_falcon #time_series #tsdb

Nightingale is a free, open-source monitoring tool designed for cloud environments. It combines data collection, visualization, monitoring alerts, and data analysis into one platform. This tool supports multiple time-series databases like Prometheus and VictoriaMetrics, and it has advanced alert management features, including alert rules and notifications. It also offers high-performance visualization with various dashboard templates and supports different data collectors. Using Nightingale, you can manage alerts efficiently, reduce disturbances, and ensure seamless collaboration. This makes it a powerful tool for enterprises to monitor and analyze their systems effectively.

https://github.com/ccfos/nightingale

#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

#rust #events #forwarder #logs #metrics #observability #parser #pipeline #router #rust #stream_processing #vector

Vector is a powerful tool for managing your observability data, such as logs and metrics. It allows you to collect, transform, and route your data to any vendor you choose, giving you full control. Vector is reliable, fast (up to 10x faster than alternatives), and secure. It helps reduce costs, improve data quality, and consolidate agents, making your observability processes more efficient and reliable. With a strong community support and extensive documentation, Vector is used by many big companies and is downloaded over 100,000 times daily. This makes it a valuable tool for anyone looking to manage their data effectively.

https://github.com/vectordotdev/vector

#go #gnmi #golang #influxdb #json #kafka #logs #metrics #modbus #monitoring #mqtt #opcua #telegraf #time_series #windows_eventlog #windows_management_instrumentation #xpath

Telegraf is a tool that helps collect, process, and send various types of data like metrics, logs, and more. It has over 300 plugins for different tasks such as system monitoring, cloud services, and messaging. You can easily configure it using TOML, and it runs as a standalone binary without extra dependencies. This makes it easy to set up and use. With Telegraf, you can choose plugins to monitor your devices, logs, networks, and more, making it very flexible and powerful for managing your data efficiently.

https://github.com/influxdata/telegraf

#go #metrics #monitoring #observability #open_telemetry #opentelemetry #telemetry

The OpenTelemetry Collector is a tool that helps you manage telemetry data easily. It can receive, process, and export data from various sources like Jaeger and Prometheus to different back-ends without needing multiple agents. Here are the key benefits It comes with reasonable default configurations and supports popular protocols, making it easy to use out of the box.
- **Performant** It is designed to be easily monitored.
- **Extensible** It supports traces, metrics, and logs in a single codebase.

This makes it simpler to manage your telemetry data in a unified and efficient way.

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

#go #alerting #graphing #hacktoberfest #metrics #monitoring #prometheus #time_series

Prometheus is a powerful tool for monitoring systems and services. It collects data from different sources, lets you query and analyze this data using a special language called PromQL, and can alert you when something goes wrong. Here are the key benefits It stores data in a way that makes it easy to analyze different aspects of your system.
- **Flexible queries** You can install Prometheus using precompiled binaries, Docker images, or by building it from source code.
- **Service discovery** It supports creating graphs and dashboards to visualize your data and send alerts when necessary.

Using Prometheus helps you keep a close eye on your systems, making it easier to identify and fix problems quickly.

https://github.com/prometheus/prometheus

#typescript #apm #application_monitoring #distributed_tracing #go #good_first_issue #jaeger #log #logs #metrics #monitoring #nextjs #observability #open_source #opentelemetry #prometheus #react #reactjs #self_hosted #tracing #typescript

SigNoz is a tool that helps you monitor and troubleshoot your applications easily. It combines logs, metrics, and traces in one place, allowing you to spot issues before they happen and fix problems quickly. It's cost-effective and open-source, similar to Datadog and New Relic but without the high costs. With SigNoz, you can monitor application performance, manage logs efficiently, track user requests across services, create customized dashboards, and set alerts for unusual activities. This makes it easier to identify and solve problems quickly, ensuring your application runs smoothly.

https://github.com/SigNoz/signoz

#go #framework #go #go_framework #golang #golang_framework #grpc #grpc_go #grpc_golang #hacktoberfest #http_server #logging #metrics #microservice #microservice_framework #opentelemetry #performance #rest_api #server #tracing #web_framework

GoFr is a microservice development framework designed to simplify the creation and management of microservices. It offers features like easy API syntax, built-in observability, and support for REST and gRPC, making it efficient for developers. With GoFr, you can focus on building your application without getting bogged down by complex configurations. The framework also supports Kubernetes deployment, ensuring your services are scalable and maintainable. By using GoFr, you can accelerate your development process, improve application performance, and enhance overall productivity, allowing you to deliver high-quality software faster.

https://github.com/gofr-dev/gofr

#go #logging #metrics #opentelemetry #tracing

OpenTelemetry-Go is a tool for Go applications that helps you track how your software performs by collecting data like traces and metrics, then sending this information to monitoring platforms so you can see what’s happening inside your app in real time[2][3][4]. It works on many operating systems and Go versions, and you can use it by adding a few lines of code to your app and setting up an exporter. This makes it much easier to find and fix problems, understand how your app is running, and keep everything reliable and fast[2][3][4].

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