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AppMetrics - App Metrics is an open-source and cross-platform
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.
metrics dotnetcore health-check monitoring performance instrumentation application-insights dotnet-core dotnet-standard dotnet-framework grafana grafana-dashboardangulartics2 - Vendor-agnostic analytics for Angular2 applications.
Pass string literals or regular expressions to exclude routes from automatic pageview tracking.By default, it removes IDs matching this pattern (ie. either all numeric or UUID) : ^\d+$|^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$.
angular angular2 google-analytics angulartics2 analytics piwik baidu-analytics google-tag-manager mixpanel kissmetrics facebook-pixel application-insights angulartics segmentio ngx angular4 angular5 ng2 tracking woopra splunk page-tracking event-tracking scroll-tracking inspectletApplicationInsights-dotnet - ApplicationInsights-dotnet
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.
application-insights telemetry sdk azureApplicationInsights-dotnet-logging - .NET Logging adaptors
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.
application-insights azure sdk telemetry logging nlog log4netApplicationInsights-dotnet-server - Microsoft Application Insights for .NET Web Applications
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).
application-insights sdk azure telemetryApplicationInsights-Java - Application Insights SDK for Java
This is the repository of the Java SDK for Visual Studio Application Insights. Application Insights is a service that monitors the availability, performance and usage of your application. The SDK sends telemetry about the performance and usage of your app to the Application Insights service where your data can be visualized in the Azure Portal. The SDK automatically collects telemetry about HTTP requests, dependencies, and exceptions. You can also use the SDK to send your own events and trace logs.After you upgrade, you'll need to merge back any customizations you made to ApplicationInsights.xml. Take a copy of it to compare with the new file.
application-insights java-sdk java-agent sdkApplicationInsights-JS - Microsoft Application Insights SDK for JavaScript
Microsoft Application Insights JavaScript SDK
application-insights sdk azure browser-performance-monitoring script-errors microsoftApplicationInsights-node.js - Microsoft Application Insights SDK for Node.js
Microsoft Application Insights module for Node.js
application-insights node-js sdk azure exception-monitoring request-monitoring performance-monitoring microsoftibex-dashboard - Custom Analytics Dashboard for Microsoft Bot Framework and other applications as well
Ibex is a dashboarding application that enables building dashboard and templates. It mainly supports Application Insights but data sources and visual components are easily extendable.Private Files: Move files from /dashboards/*.private.js to /dashboards/persistent/private.
application-insights dashboard insights-service azure ibex-dashboard bot-frameworkSamples - Sample applications using App.Metrics
Sample applications demonstrating App.Metrics features.The repo also includes Grafana dashboards demo's using InfluxDB reporting.
metrics dotnetcore health-check monitoring performance instrumentation application-insightsazure-k8s-metrics-adapter - An implementation of the Kubernetes Custom Metrics API and External Metrics API for Azure Services
An implementation of the Kubernetes Custom Metrics API and External Metrics API for Azure Services. This adapter enables you to scale your application deployment pods running on AKS using the Horizontal Pod Autoscaler (HPA) with External Metrics from Azure Resources (such as Service Bus Queues) and Custom Metrics stored in Application Insights.
azure kubernetes metrics azure-log-analytics application-insights azure-monitor azure-monitor-metricsangular-application-insights - Angular 6(+) MS Azure Application insights module - Find out performance and usage of your app by connecting Microsoft Azure Application insights with your Angular application by @DevHelp-Online
Connect your Angular 6+ client-side to Microsofts Application Insights with this easy-to-use Module. Through out your application you can now use the AppInsightsService class to fire off AppInsights functionality.
ng-application-insights azure microsofts-application-insights application-insights angular angular2 angular5 ms-application-insights angular-application-insights microsoft-application-insights ms-app-insights aspnet-core-app-insightsguidance-appinsights-openschema - Using Application Insights with OpenSchema
This sample shows how to implement an Azure Monitoring and Analytics solution at large scale with Application Insights Client SDK pipeline leveraging Application Insights Analytics with OpenSchema and 3rd party services for real-enough-time dashboards. The Visual Studio solution provides two sample console applications.
application-insights azure openschema dotnet-core analyticstraefik-appinsights-watchdog - Collects health metrics from Traefik and reports to Application Insights
Please note: This project is in development. The current readme is a draft. Application Insights is a managed logging solution in Azure. This watchdog service polls an instance of Traefik - reporting its health metrics and checking it's routing correctly.
traefik application-insights service-fabricibex-dashboard-apollo-graphql - Bot framework dashboard built over GraphQL server
Ibex is a dashboarding application that enables building dashboard and templates. It mainly supports Application Insights but data sources and visual components are easily extendable. This version introduce a brand new server and client implementations, the server is built using GraphQL and the client using Apollo React. In this version the dashboard template is much simpler and easier to read and modify.
apollo apollographql graphql application-insights bot-framework react
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