#javascript #devops #monitoring #best_practices #incident_response #site_reliability_engineering #post_mortem #reliability #alerting #on_call #dev_ops #sre #observability #incident_management #chaos_engineering #sre_team #sre_teams #sre_culture #sre_classroom

https://github.com/upgundecha/howtheysre

#other #devops #availability #list #awesome #monitoring #reliability_engineering #incident_response #site_reliability_engineering #production #post_mortem #capacity_planning #service_level_agreement #scalability #reliability #alerting #on_call #awesome_list #sre #postmortem #site_reliability

https://github.com/dastergon/awesome-sre

#python #alert #alerting #grafana #oncall #oncall_schedule #slack #telegram

https://github.com/grafana/oncall

#go #alerting #dashboard #devops #docker #golang #health #monitor #monitoring #monitoring_server #monitoring_tool #notifications #self_hosted #selfhosted #slack #status #status_page #statuspage #uptime #uptime_monitoring

https://github.com/TwiN/gatus

#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

#python #aiops #alarm #alarms #alerting #alerts #monitoring #monitoring_tool #python #python3 #workflow_automation

Keep is an open-source platform for managing alerts and incidents. It offers a single interface to view all your alerts, deduplicates and correlates them, and allows deep integrations with various monitoring tools. You can automate tasks using GitHub Actions and leverage AI for better alert handling. Keep supports many integrations with observability tools, communication platforms, incident management tools, and more. This makes it easier to manage alerts and incidents in one place, reducing complexity and improving efficiency.

https://github.com/keephq/keep

#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

#c_lang #alerting #cncf #data_visualization #database #devops #docker #grafana #influxdb #kubernetes #linux #machine_learning #mongodb #monitoring #mysql #netdata #observability #postgresql #prometheus #raspberry_pi #statsd

Netdata is a powerful monitoring tool that helps you keep an eye on your servers, containers, and applications in real-time. Here’s what you need to know Netdata collects data every second, giving you immediate insights into your system's behavior.
- **Zero-Configuration** Netdata uses ML to detect anomalies and patterns in your metrics, helping you identify issues before they become critical.
- **Scalability** Netdata monitors everything from system resources to application logs, providing a complete view of your infrastructure.
- **Energy Efficiency**: Studies have shown that Netdata is the most energy-efficient monitoring tool, consuming fewer resources than other solutions.

Using Netdata benefits you by providing real-time, high-resolution monitoring, automated anomaly detection, and advanced visualization tools, all while being highly scalable and energy-efficient. This makes it easier to manage and troubleshoot your systems effectively.

https://github.com/netdata/netdata