Displaying 1 to 20 from 53 results

nodejs-dashboard - Telemetry dashboard for node.js apps from the terminal!

  •    Javascript

Determine in realtime what's happening inside your node process from the terminal. No need to instrument code to get the deets. Also splits stderr/stdout to help spot errors sooner.NOTE: This module isn't designed for production use and should be limited to development environments.

browser-perf - Performance Metrics for Web Browsers

  •    Javascript

Read more on why browser-perf here. Please see the wiki pages for more information. You can find information about supported browsers, getting started, command line usage, reference for the Node API etc.

Snap - A powerful open telemetry framework

  •    Go

Snap is an open telemetry framework designed to simplify the collection, processing and publishing of system data through a single API. The goals of this project are to Empower systems to expose a consistent set of telemetry data, Simplify telemetry ingestion across ubiquitous storage systems, Provide powerful clustered control of telemetry workflows across small or large clusters and lot more.

Mosquitto - An Open Source MQTT v3.1 Broker

  •    C

Mosquitto is an open source message broker that implements the MQ Telemetry Transport protocol version 3.1. MQTT provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for machine to machine messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers like the Arduino.




perfjankie - Checking browser rendering performance regression

  •    Javascript

PerfJankie is a tool to monitor smoothness and responsiveness of websites and Cordova/Hybrid apps over time. It runs performance tests using browser-perf and saves the results in a CouchDB server. It also has a dashboard that displays graphs of the performance metrics collected over time that you help identify performance trends, or locate a single commit that can slow down a site. After running the tests, navigate to the following url to see the results dashboard.

NR2003 season view

  •    DotNet

NR2003 season view application is program which consumes telemetry events produced by "Nascar racing 2003" game and represents them in race or season statistics data.

cernan - telemetry aggregation and shipping, last up the ladder

  •    Rust

Cernan is a telemetry and logging aggregation server. It exposes multiple interfaces for ingestion and can emit to multiple aggregation sources while doing in-flight manipulation of data. Cernan has minimal CPU and memory requirements and is intended to service bursty telemetry without load shedding. Cernan aims to be reliable and convenient to use, both for application engineers and operations staff. If you'd like to learn more, please do have a look in our wiki.


telemetry-batch-view - A Scala framework to build derived datasets, aka batch views, of Telemetry data

  •    Scala

This is a Scala application to build derived datasets, also known as batch views, of Telemetry data.Raw JSON pings are stored on S3 within files containing framed Heka records. Reading the raw data in through e.g. Spark can be slow as for a given analysis only a few fields are typically used; not to mention the cost of parsing the JSON blobs. Furthermore, Heka files might contain only a handful of records under certain circumstances.

ApplicationInsights-dotnet - ApplicationInsights-dotnet

  •    CSharp

This repository has code for the base .NET SDK for Application Insights. Application Insights is a service that allows developers ensure their application are available, performing, and succeeding. This SDK provides the base ability to send all Application Insights types from any .NET project.If developing for a .Net project that is supported by one of our platform specific packages, Web or Windows Apps, we strongly recommend to use one of those packages instead of this base library. If your project does not fall into one of those platforms you can use this library for any .Net code. This library should have no dependencies outside of the .Net framework. If you are building a Desktop or any other .Net project type this library will enable you to utilize Application Insights. More on SDK layering and extensibility later.

ApplicationInsights-dotnet-logging - .NET Logging adaptors

  •    CSharp

If you use NLog, log4Net or System.Diagnostics.Trace for diagnostic tracing in your application, you can have your logs sent to Application Insights, where you can explore and search them. Your logs will be merged with the other telemetry coming from your application, so that you can identify the traces associated with servicing each user request, and correlate them with other events and exception reports.Application Insights Documentation.

ApplicationInsights-dotnet-server - Microsoft Application Insights for .NET Web Applications

  •    CSharp

The code in this repository is the .NET web application SDK for Application Insights. Application Insights is a service that lets you monitor your live application's performance and usage. This SDK sends telemetry to the service. It collects data such as web request timings and succcess rates, dependency calls, exceptions, and server performance counters. You can also use the SDK to send your own telemetry and add modules to collect logs. You can use this SDK in any .NET web application, hosted either on your own servers or on Microsoft Azure.The SDK is installed on each project by the Application Insights tools in Visual Studio (2013 and later).

taar - Telemetry-Aware Addon Recommender

  •    Python

The recommendation strategy is implemented through the RecommendationManager. Once a recommendation is requested for a specific client id, the recommender iterates through all the registered models (e.g. CollaborativeRecommender) linearly in their registered order. Results are returned from the first module that can perform a recommendation.Each module specifies its own sets of rules and requirements and thus can decide if it can perform a recommendation independently from the other modules.

llama - Loss & LAtency MAtrix

  •    Python

L.L.A.M.A. is a deployable service which artificially produces traffic for measuring network performance between endpoints.LLAMA uses UDP socket level operations to support multiple QoS classes. UDP datagrams are fast, efficient, and will hash across ECMP paths in large networks to uncover faults and erring interfaces. LLAMA is written in pure Python for maintainability.

Telemetry - Data visualization and communication with embedded devices

  •    C

Current status Paused development for now, will restart once I find better ways of managing and distributing general-purpose embedded libraries. However, library is functional good stability & test coverage. Telemetry enables easy communication and data visualization between a computer and any embedded platform, like ARM Mbed or Arduino.

karma-telemetry - Karma Framework for running performance tasks using Telemetry

  •    Javascript

Adapter for running the Chromium Telemetry performance benchmarks for Karma. This plugin runs with Karma and is ideal for testing the rendering performance of components in frameworks. It reports various rendering metrics like first paint time, mean frame time, load time, etc. It can be integrated with continuous integration systems to ensure that the performance of components do not degrade over time.

wifibroadcast - Transmitter and receiver of UDP packets using raw WiFi radio

  •    C

This is transmitter and receiver of UDP packets using raw WiFi radio inspired by https://befinitiv.wordpress.com/wifibroadcast-analog-like-transmission-of-live-video-data/ . The main difference is how the data are encapsulated into ieee80211 frames. The original wifibroadcast accepts stream of bytes and split them into packets without attention to x264 stream elements. This can emit up to 100ms latencies. In my case wifibroadcast accepts UDP stream (for example x264 encapsulated into RTP packets). This provides low latency streaming. The receiver receives video as long as it is in range of the transmitter. If it gets slowly out of range the video quality degrades but does not stall.

lem - telemetry database for time-series data using LevelDB and node.js

  •    Javascript

Create a new lem database from the provided leveldb. This can be a level-sublevel so you can partition lem into an existing database. Write a node and some meta data to the index.

gopro-utils - Tools to parse metadata from GoPro Hero 5 & 6 cameras

  •    Go

I spent some time trying to reverse-engineer the GoPro Metadata Format (GPMD or GPMDF) that is stored in GoPro Hero 5 cameras if GPS is enabled. This is what I found. This leaves us with a binary file with the data.

node-telemetry - a simple telemetry server written in Node.js

  •    Javascript

The goal of node-telemetry is to make it really easy to deploy a scalable telemetry server in a clustered environment. This can be used to capture errors, performance data, and more from your web and mobile applications, and store it in a document store or on the filesystem. node-telemetry is released under the terms of the MIT license.