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opentelemetry-demo
This repository contains the OpenTelemetry Astronomy Shop, a microservice-based distributed system intended to illustrate the implementation of OpenTelemetry in a near real-world environment.
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InfluxDB
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otel-collector-charts
This is the repository for Lightstep's recommendations for running an OpenTelemetry Collector.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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We will be deploying OpenTelemetry Demo App to our cluster. The Demo App has been instrumented using OpenTelemetry, and will send Traces and Metrics through the OpenTelemetry Collector to Lightstep.
Create a Kubernetes cluster (GKE) in Google Cloud using the Google Terraform Provider. This is defined in the k8s module in our repo.
The best part is that you don’t need to install and maintain a Prometheus instance to be able to run it! But wait…there’s more! You also don’t need to use Lightstep as your Observability back-end in order to take advantage of this special Collector! How cool is that??
Deploy the OpenTelemetry Demo App using the OpenTelemetry Demo Helm Chart
We will be deploying OpenTelemetry Demo App to our cluster. The Demo App has been instrumented using OpenTelemetry, and will send Traces and Metrics through the OpenTelemetry Collector to Lightstep.
We then have various other Metrics called Kubernetes Workload Metrics. These are the dashboards with names that start with “Kubernetes / Compute Resources / Workload”. These dashboards are specific to the services you are running. They take into account the Kubernetes Workloads in your various namespaces, using kube-state-metrics. For a closer look, check out otel_demo_app_k8s_dashboard.tf.
We used Lightstep’s Prometheus Kubernetes OpenTelemetry Collector to get these Metrics into Lightstep. This Helm chart is inspired by kube-prometheus-stack, but with one crucial difference -- no Prometheus! We’re able to use recent enhancements to the OpenTelemetry Operator for Kubernetes such as support for Service Monitors in order to scrape Prometheus metrics from pods, system components, and more.
We wanted to showcase OLaC principles with a real-life example using modern cloud-native tooling...Which means using Kubernetes for our cloud infrastructure with Google Cloud’s Kubernetes offering, GKE. Now, since we are good practitioners of OLaC and SRE, we won’t just be setting things up through the clickity click of a UI. No sirreee. Instead, we’ll be #automatingAllTheThings using HashiCorp Terraform. Terraform allows us to do infrastructure-as-code (IaC), and gives us tons of added benefits like better control over our resources and standardization. Key principles in OLaC and IaC.
We used Lightstep’s Prometheus Kubernetes OpenTelemetry Collector to get these Metrics into Lightstep. This Helm chart is inspired by kube-prometheus-stack, but with one crucial difference -- no Prometheus! We’re able to use recent enhancements to the OpenTelemetry Operator for Kubernetes such as support for Service Monitors in order to scrape Prometheus metrics from pods, system components, and more.
We used Lightstep’s Prometheus Kubernetes OpenTelemetry Collector to get these Metrics into Lightstep. This Helm chart is inspired by kube-prometheus-stack, but with one crucial difference -- no Prometheus! We’re able to use recent enhancements to the OpenTelemetry Operator for Kubernetes such as support for Service Monitors in order to scrape Prometheus metrics from pods, system components, and more.