opentelemetry-specification
prometheus
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opentelemetry-specification | prometheus | |
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99 | 381 | |
3,596 | 52,642 | |
1.0% | 1.4% | |
9.2 | 9.9 | |
about 20 hours ago | about 23 hours ago | |
Makefile | Go | |
Apache License 2.0 | Apache License 2.0 |
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opentelemetry-specification
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OpenTelemetry Journey #00 - Introduction to OpenTelemetry
It means that the OpenTelemetry project provides not only a specification to define the contract between the applications, collectors, and telemetry databases, but also a set of APIs, SDKs, and tools like instrumentation libraries (for different languages), collectors, operators, etc. OpenTelemetry is open-source and vendor-agnostic, so the project is not tied to any specific vendor or cloud provider.
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Migrating to OpenTelemetry
Sure, happy to provide more specifics!
Our main issue was the lack of a synchronous gauge. The officially supported asynchronous API of registering a callback function to report a gauge metric is very different from how we were doing things before, and would have required lots of refactoring of our code. Instead, we wrote a wrapper that exposes a synchronous-like API: https://gist.github.com/yolken-airplane/027867b753840f7d15d6....
It seems like this is a common feature request across many of the SDKs, and it's in the process of being fixed in some of them (https://github.com/open-telemetry/opentelemetry-specificatio...)? I'm not sure what the plans are for the golang SDK specifically.
Another, more minor issue, is the lack of support for "constant" attributes that are applied to all metrics. We use these to identify the app, among other use cases, so we added wrappers around the various "Add", "Record", "Observe", etc. calls that automatically add these. (It's totally possible that this is supported and I missed it, in which case please let me know!).
Overall, the SDK was generally well-written and well-documented, we just needed some extra work to make the interfaces more similar to the ones were were using before.
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OpenTelemetry Exporters - Types and Configuration Steps
OpenTelemetry is an open-source collection of tools, APIs, and SDKs that aims to standardize the way we generate and collect telemetry data. It follows a specification-driven development. The OpenTelemetry specification has design and implementation guidelines for how the instrumentation libraries should be implemented. In addition, it provides client libraries in all the major programming languages that follow the specification.
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OpenTelemetry in 2023
Two problems with OpenTelemetry:
1. It doesn't know what the hell it is. Is it a semantic standard? Is a protocol? It is a facade? What layer of abstraction does it provide? Answer: All of the above! All the things! All the layers!
2. No one from OpenTelemetry has actually tried instrumenting a library. And if they have, they haven't the first suggestion on how instrumenters should actually use metrics, traces, and logs. Do you write to all three? To one? I asked this question two years ago, not a single response. [1]
[1] https://github.com/open-telemetry/opentelemetry-specificatio...
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Tracetest Analyzer: Identify patterns and issues with code instrumentation
OpenTelemetry Specification GitHub
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OpenTelemetry vs. OpenMetrics: Which semantic convention should you use?
One update to this: we proposed replacing the count suffix in OpenTelemetry with total to match Prometheus/OpenMetrics. That discussion resulted in the count suffix being removed from the OpenTelemetry semantic conventions. We'll soon update our metric from being called function.calls.count to just function.calls and the generated Prometheus queries will refer to function_calls_total. That resolves one of the main conflicts between the two specs.
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OpenTelemetry Logs status?
This is your best bet if you want to track status updates: https://github.com/open-telemetry/opentelemetry-specification/issues/2911
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Distributed Tracing with OpenTelemetry - Part I
OpenTelemetry is a standard for implementing telemetry in your applications. It provides a specification, containing the requirements that all implementations should follow as well as some implementations for major languages, including an API and a SDK to interact with it.
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Observability - ApostropheCMS, OpenTelemetry, and New Relic
At this point, we are about to do the real work where we have to configure OpenTelemetry and export telemetry data to New Relic. Exporting this kind of data relies on a specific protocol; the OpenTelemetry Protocol or OTLP.
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OpenTelemetry Logs - A Complete Introduction & Implementation
OpenTelemetry provides instrumentation libraries for your application. The development of these libraries is guided by the OpenTelemetry specification. The OpenTelemetry specification describes the cross-language requirements and design expectations for all OpenTelemetry implementations in various programming languages.
prometheus
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Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance
WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and
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Tools for frontend monitoring with Prometheus
Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.
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The power of the CLI with Golang and Cobra CLI
Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.
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On Implementation of Distributed Protocols
Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.
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Monitoring, Observability, and Telemetry Explained
Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.
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Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
Prometheus
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Top 5 Docker Container Monitoring Tools in 2024
Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.
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Install and Setup Grafana & Prometheus on Ubuntu 20.04 | 22.04/EC2
wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
What are some alternatives?
Sentry - Developer-first error tracking and performance monitoring
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
Serilog - Simple .NET logging with fully-structured events
skywalking - APM, Application Performance Monitoring System
zipkin - Zipkin is a distributed tracing system
Jolokia - JMX on Capsaicin
pino - 🌲 super fast, all natural json logger
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
Hangfire - An easy way to perform background job processing in .NET and .NET Core applications. No Windows Service or separate process required
JavaMelody - JavaMelody : monitoring of JavaEE applications
otel-with-apache-pulsar - Example of application that produces and consumes events to/from Apache Pulsar. Traces from the transactions are captured using OpenTelemetry and sent to Elastic Observability.
Glowroot - Easy to use, very low overhead, Java APM