autometrics-ts
opentelemetry-collector
| autometrics-ts | opentelemetry-collector | |
|---|---|---|
| - | 16 | |
| 129 | 3,910 | |
| 0.0% | 2.6% | |
| 8.0 | 9.9 | |
| 3 months ago | 6 days ago | |
| TypeScript | Go | |
| MIT License | Apache License 2.0 |
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.
autometrics-ts
We haven't tracked posts mentioning autometrics-ts yet.
Tracking mentions began in Dec 2020.
opentelemetry-collector
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OpenTelemetry Collector Anti-Patterns
But how does one monitor a Collector? The OTel Collector already emits metrics for the purposes of its own monitoring. These can then be sent to your Observability backend for monitoring.
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OpenTelemetry Journey #00 - Introduction to OpenTelemetry
Maybe, you are asking yourself: "But I already had instrumented my applications with vendor-specific libraries and I'm using their agents and monitoring tools, why should I change to OpenTelemetry?". The answer is: maybe you're right and I don't want to encourage you to update the way how you are doing observability in your applications, that's a hard and complex task. But, if you are starting from scratch or you are not happy with your current observability infrastructure, OpenTelemetry is the best choice, independently of the backend telemetry tool that you are using. I would like to invite you to take a look at the number of exporters available in the collector contrib section, if your backend tracing tool is not there, probably it's already using the Open Telemetry Protocol (OTLP) and you will be able to use the core collector. Otherwise, you should consider changing your backend telemetry tool or contributing to the project creating a new exporter.
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Building an Observability Stack with Docker
To receive OTLP data, you set up the standard otlp receiver to receive data in HTTP or gRPC format. To forward traces and metrics, a batch processor was defined to accumulate data and send it every 100 milliseconds. Then set up a connection to Tempo (in otlp/tempo exporter, with a standard top exporter) and to Prometheus (in prometheus exporter, with a control exporter). A debug exporter also was added to log info on container standard I/O and see how the collector is working.
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Amazon EKS Monitoring with OpenTelemetry [Step By Step Guide]
You can find more details on advanced configurations here.
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Go 1.21
> opentelemetry is basically a house of antipatterns
"Look on My Works Ye Mighty and Despair!"
https://github.com/open-telemetry/opentelemetry-collector/tr... -> https://github.com/open-telemetry/opentelemetry-collector-re... ... and then a reasonable person trying to load that mess into their head may ask 'err, what's the difference between go.opentelemetry.io/collector and github.com/open-telemetry/opentelemetry-collector-contrib?'
$ curl -fsS go.opentelemetry.io/collector | grep go-import -
Options Pattern in Golang
open-telemetry/opentelemetry-collector: OpenTelemetry Collector (github.com)
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Display CockroachDB metrics in Splunk Dashboards
There are 2 collector types: the core and the contrib. I have used the contrib as it features the splunk_hec exporter.
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OpenTelemetry Collector on Kubernetes – Part 1
We are setting the deployment to have exactly 1 replica and setting the container CPU and memory limits according to the minimum that was checked for performance in their docs.
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Observability Mythbusters: How hard is it to get started with OpenTelemetry?
Lightstep ingests data in native OpenTelemetry Protocol (OTLP) format, so we will use the OTLP Exporter. The exporter can be called either otlp or follow the naming format otlp/. We could call it otlp/bob if we wanted to. We're calling our exporter otlp/ls to signal to us that we are using the OTLP exporter to send the data to Lightstep.
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OpenTelemetry Collector: A Friendly Guide for Devs
Then, we set up a batch processor that batches up the spans together and every 1 second sends the batch forward. In production, you would want more than 1 second, but I set this here to 1 second for instant feedback in Jaeger.
What are some alternatives?
Nestjs-OpenTelemetry - 🔭 Deeply Integrated and Auto Instrumented OpenTelemetry module for NestJS
go-sql-driver/mysql - Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package
crawlee - Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.
GORM - The fantastic ORM library for Golang, aims to be developer friendly
pwa-asset-generator - Automates PWA asset generation and image declaration. Automatically generates icon and splash screen images, favicons and mstile images. Updates manifest.json and index.html files with the generated images according to Web App Manifest specs and Apple Human Interface guidelines.
jaeger - CNCF Jaeger, a Distributed Tracing Platform
medusa-extender - :syringe: Medusa on steroid, take your medusa project to the next level with some badass features :rocket:
go-ethereum - Go implementation of the Ethereum protocol
hyperdx - Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by Clickhouse and OpenTelemetry.
argo-cd - Declarative Continuous Deployment for Kubernetes
highlight - highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging, distributed tracing, and more.
prometheus - The Prometheus monitoring system and time series database.