524 Open source projects that are alternatives of or similar to observability-workshop

A k6/.NET red/green load testing workshop

JVM agent based metrics with Prometheus and Dropwizard support (Java, Scala, Clojure, Kotlin, etc)

A tool to index Fastly realtime analytics metrics into Elasticsearch.

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OpenTelemetry (Tracing + Metrics) module for Nest framework (node.js) 🔭

React + Electron + Typescript workshop for GDG DevFest Warsaw 👩‍💻👨‍💻🤖💻

Open source Kubernetes monitoring, troubleshooting, and automation platform

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elastic-stax Docker Compose projects => for learning/training purposes only!

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This repository contains the APPUiO and OpenShift Techlab tutorials.

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Materials from an R User Group workshop

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You should open this repo first

Type-safe Prometheus metrics builder library for golang

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files from workshops

F5 BIG-IP SDK for the Go programming language.

Git Workshop covering git essentials & advanced topics

This repository contains the deployment configurations for the Observatorium instances

Datadog Trace Agent archive (pre-6.10.0)

Take a look at the relations among servers.

A curated list of free resources to learn node.js

Add breakpoints, logs, metrics, and spans to live production applications

Teaching materials for an intro to CSS animations for kids series.

https://learnp2p.org

Workshop: Micromagnetics with Ubermag

Materials for my my R data workshop. https://cengel.github.io/R-data-wrangling/

SOFAStack Demo for SOFAStack Cloud Native Workshop on KubeCon China 2019

CLI to install, manage & troubleshoot Kubernetes clusters running Cilium

Content for the "Intelligent Cloud Bootcamp: Advanced Kubernetes" workshop

Reader for the Intro to SQL workshop series.

Approzium allows a cloud service to authenticate to a database without ever having access to its password

An extensible Scala framework for creating monitoring dashboards.

Kubernetes metadata injection for New Relic APM to make a linkage between APM and Infrastructure data.

The homepage for CSSclasses, a free CSS workshop series

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Materiały z warsztatów z podstaw Deep Learningu dla początkujących. Wiosna 2019.

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