opentelemetry-dotnet
Grafana
opentelemetry-dotnet | Grafana | |
---|---|---|
7 | 380 | |
2,977 | 60,503 | |
1.2% | 0.8% | |
9.7 | 10.0 | |
1 day ago | 3 days ago | |
C# | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
opentelemetry-dotnet
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ASP.NET Core: Monitoreo con OpenTelemetry y Grafana
open-telemetry/opentelemetry-dotnet: The OpenTelemetry .NET Client (github.com)
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Guide to Distributed Tracing with OpenTelemetry Dotnet
đź’ˇGood to know -- If you wish to export traces to Jaeger, you should use the AddJaegerExporter instead of the AddOtlpExporter. Visit the opentelemetry-dotnet repository to see how it's done.
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Observability with Grafana Cloud and OpenTelemetry in .net microservices
We're going to use OpenTelemetry .NET SDK. Add following nuget dependencies to the project:
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OpenTelemetry in Action: Identifying Database Dependencies
We instrument the application with the OpenTelemetry SDK and SqlClient instrumentation library for .NET. First, we add the following NuGet package references to the API’s project file:
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State for each API Request
It should be handled automatically by OpenTelemetry middlewares. Just look through documentation and samples https://github.com/open-telemetry/opentelemetry-dotnet
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[c#] Using W3C Trace Context standard in distributed tracing
Besides that, the propagation fields (traceparent and tracestate) were added in the message header. In the last article, I said that the standard (in the Working Draft (WD) step of the w3c process) recommends to add the propagation fields in the application-properties section by the message publisher. For the current example, I chose to propagate that context in the message header even for AMQP calls as was done in the dotnet OpenTelemetry example. It's important to reinforce that Trace Context: AMQP protocol is not a W3C Recommendation yet. Take a look at the place where the propagation fields were added:
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Tracing End-to-End Data from Power Apps to Azure Cosmos DB
As long as the Azure Functions app knows the instrumentation key from an Application Insights instance, it traces almost everything. OpenTelemetry.NET is one of the Open Telemetry implementations, has recently released v1.0 for tracing. Both metrics and logging are close to GA. However, it doesn't work well with Azure Functions. Therefore, in this post, let's manually implement the tracing at the log level, which is sent to Application Insights.
Grafana
- Grafana: From Dashboards to Centralized Observability
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
What are some alternatives?
ApplicationInsights-dotnet - ApplicationInsights-dotnet
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
zipkin - Zipkin is a distributed tracing system
Heimdall - An Application dashboard and launcher
C# StatsD Client
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
ASP.NET Core - ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
trace-context-w3c - W3C Trace Context purpose of and what kind of problem it came to solve.
uptime-kuma - A fancy self-hosted monitoring tool