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.
nodejs telemetry monitoring dashboard terminal realtime statisticsRead 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.
browser-perf performance-metrics metrics wiki-page perfmatters web-performance performance rendering telemetry chromium high-performance-web-sites monitoring web-development webperfThe .NET OpenTelemetry client. Packages shipped from this repository generally support all the officially supported versions of .NET Core, and .NET Framework except for versions lower than .NET Framework 4.6.1. Any exceptions to this are noted in the individual README.md files.
metrics telemetry netcore asp-net-core asp-net distributed-tracing opentelemetry instrumentation-librariesThis is the JavaScript version of OpenTelemetry, a framework for collecting traces and metrics from applications. The current version for each package can be found in the respective package.json file for that module. For additional details see the versioning and stability document in the specification.
api monitoring metrics telemetry distributed-tracing opentelemetry nodejs profiling statsSnap 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.
metrics system-metrics service-metrics data-collector telemetryMosquitto 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.
message-broker messaging mqtt telemetryPerfJankie 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.
browser-perf performance-regressions perfmatters web-performance dashboard telemetry gruntpluginOpenTelemetry provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.
telemetry tracing metrics instrumentation apm observabilityNR2003 season view application is program which consumes telemetry events produced by "Nascar racing 2003" game and represents them in race or season statistics data.
nascar-racing nr2003 race season telemetryCernan 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 statsd graphite influxdb prometheus telemetry-aggregation metricsThe Ruby OpenTelemetry client. We'd love your help! Use tags good first issue and help wanted to get started with the project.
metrics telemetry hacktoberfest distributed-tracing opentelemetry opentelemetry-ruby opentelemetry-apiResearch shows Google collects 20x more data from Android than Apple collects from iOS. Block both using these pihole lists. For a list of domains that should not break anything, use telemetry-domains.txt.
tracking privacy blocklist telemetry piholeThis 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.
telemetry spark bigdata mozilla datasetThis 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.
application-insights telemetry sdk azureIf 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.
application-insights azure sdk telemetry logging nlog log4netThe 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).
application-insights sdk azure telemetryThe 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.
telemetry recommendations addonsL.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.
latency loss matrix network monitoring udp telemetryCurrent 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.
telemetry communication cpp mbed data-visualization
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