Displaying 1 to 20 from 208 results

dockprom - Docker hosts and containers monitoring with Prometheus, Grafana, cAdvisor, NodeExporter and AlertManager

  •    Shell

A monitoring solution for Docker hosts and containers with Prometheus, Grafana, cAdvisor, NodeExporter and alerting with AlertManager.Navigate to http://<host-ip>:3000 and login with user admin password admin. You can change the credentials in the compose file or by supplying the ADMIN_USER and ADMIN_PASSWORD environment variables on compose up.

Stagemonitor - Application performance monitoring for java server applications

  •    Java

Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. It supports Real Time Metrics, Call tree of the current request including SQL statements to identify the bottlenecks of a request, Execution time and count of database interactions, Analyze the HTTP headers and lot more.

prometheus - Kubernetes Setup for Prometheus and Grafana

  •    Smarty

This will create the namespace monitoring and bring up all components in there. See grafana.net for some example dashboards and plugins.

falcon-plus - An open-source and enterprise-level monitoring system.

  •    Go

Please refer to ./docker/README.md. NOTE: be sure to check redis and mysql-server have successfully started.




netdata - Real-time performance monitoring, done right! https://www.netdata.cloud

  •    C

Netdata's distributed, real-time monitoring Agent collects thousands of metrics from systems, hardware, containers, and applications with zero configuration. It runs permanently on all your physical/virtual servers, containers, cloud deployments, and edge/IoT devices, and is perfectly safe to install on your systems mid-incident without any preparation. You can install Netdata on most Linux distributions (Ubuntu, Debian, CentOS, and more), container platforms (Kubernetes clusters, Docker), and many other operating systems (FreeBSD, macOS). No sudo required.

tempo - Grafana Tempo is a high volume, minimal dependency distributed tracing backend.

  •    Go

Grafana Tempo is an open source, easy-to-use and high-scale distributed tracing backend. Tempo is cost-efficient, requiring only object storage to operate, and is deeply integrated with Grafana, Prometheus, and Loki. Tempo can be used with any of the open source tracing protocols, including Jaeger, Zipkin, OpenCensus, Kafka, and OpenTelemetry. It supports key/value lookup only and is designed to work in concert with logs and metrics (exemplars) for discovery. Check out the Integration Guides to see examples of OpenTelemetry instrumentation with Tempo.

helm-charts

  •    Smarty

The code is provided as-is with no warranties. Helm must be installed to use the charts. Please refer to Helm's documentation to get started.

Loki - Multi-tenant log aggregation system inspired by Prometheus

  •    Go

Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. It is especially good fit for storing Kubernetes Pod logs. Metadata such as Pod labels is automatically scraped and indexed. By storing compressed, unstructured logs and only indexing metadata, Loki is simpler to operate and cheaper to run.


AppMetrics - App Metrics is an open-source and cross-platform

  •    CSharp

App Metrics is an open-source and cross-platform .NET library used to record metrics within an application. App Metrics can run on .NET Core or on the full .NET framework also supporting .NET 4.5.2. App Metrics abstracts away the underlaying repository of your Metrics for example InfluxDB, Graphite, Elasticsearch etc, by sampling and aggregating in memory and providing extensibility points to flush metrics to a repository at a specified interval.App Metrics provides various metric types to measure things such as the rate of requests, counting the number of user logins over time, measure the time taken to execute a database query, measure the amount of free memory and so on. Metrics types supported are Gauges, Counters, Meters, Histograms and Timers and Application Performance Indexes Apdex.

k8s-deployment-strategies - Kubernetes deployment strategies explained

  •    Go

In Kubernetes there is few different way to release an application, you have to carefully choose the right strategy to make your infrastructure resilient. These examples were created and tested on Minikube running with Kubernetes v1.10.0.

kubernetes-prometheus - Kubernetes Setup for Prometheus and Grafana

  •    Shell

This will create the namespace monitoring and bring up all components in there. See grafana.net for some example dashboards and plugins.

grafanalib - Python library for building Grafana dashboards

  •    Python

Do you like Grafana but wish you could version your dashboard configuration? Do you find yourself repeating common patterns? If so, grafanalib is for you. grafanalib lets you generate Grafana dashboards from simple Python scripts.

Swarmprom - Docker Swarm instrumentation with Prometheus, Grafana, cAdvisor, Node Exporter and Alert Manager

  •    Shell

Swarmprom is a starter kit for Docker Swarm monitoring with Prometheus, Grafana, cAdvisor, Node Exporter, Alert Manager and Unsee.

agent - Prometheus Metrics, Loki Logs, and Tempo Traces, optimized for Grafana Cloud.

  •    Go

On top of these, the Grafana Agent enables easier sharding mechanisms that enable users to shard Agents across their cluster and lower the memory requirements per machine. A typical deployment of the Grafana Agent for Prometheus metrics can see up to a 40% reduction in memory usage with equal scrape loads.

pgwatch2 - PostgreSQL metrics monitor/dashboard

  •    Go

Software is packaged as Docker (for custom setup see the last paragraph below, for a Docker quickstart see here) for getting started quickly. After some minutes you could open the "db-overview" dashboard and start looking at metrics. For defining your own dashboards you need to log in as admin (admin/pgwatch2admin). NB! If you don't want to add the "test" database (the pgwatch2 configuration db) for monitoring set the NOTESTDB=1 env parameter when launching the image.

pihole-exporter - A Prometheus exporter for PI-Hole's Raspberry PI ad blocker

  •    Go

This is a Prometheus exporter for PI-Hole's Raspberry PI ad blocker. Grafana dashboard is available here on the Grafana dashboard website and also here on the GitHub repository.

Otomi- The complete DevOps experience for Kubernetes

  •    Shell

Otomi is an open-source cloud-agnostic platform to run on top of Kubernetes to securely deploy, run and manage applications with a desktop-like user interface. Otomi is free, easy to install, comes with an intuitive desktop-like UI and ready to use pre-configured built-in applications to offer an out-of-the-box experience. Just like you would expect from your favorite Linux distribution. After installing Otomi on Kubernetes, you can log in and immediately start deploying and use all the built-in applications.

grabana - User-friendly Go library for building Grafana dashboards

  •    Go

Grabana provides a developer-friendly way of creating Grafana dashboards. Whether you prefer writing code or YAML, if you are looking for a way to version your dashboards configuration or automate tedious and error-prone creation of dashboards, this library is meant for you.

NoSQLBench - The open source, pluggable, nosql benchmarking suite

  •    Java

NoSQLBench is a serious performance testing tool for the NoSQL ecosystem. It brings together features and capabilities that are not found in any other tool. It can run common testing workloads directly from the command line. It can generate virtual data sets of arbitrary size, with deterministic data and statistically shaped values.

cloudprober - An active monitoring software to detect failures before your customers do.

  •    Go

Cloudprober is a monitoring software that makes it super-easy to monitor availability and performance of various components of your system. Cloudprober employs the "active" monitoring model. It runs probes against (or on) your components to verify that they are working as expected. For example, it can run a probe to verify that your frontends can reach your backends. Similarly it can run a probe to verify that your in-Cloud VMs can actually reach your on-premise systems. This kind of monitoring makes it possible to monitor your systems' interfaces regardless of the implementation and helps you quickly pin down what's broken in your system.Visit Cloudprober's website at cloudprober.github.io to get started with Cloudprober.






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