Our great sponsors
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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.
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Create a Kubernetes cluster (GKE) in Google Cloud using the Google Terraform Provider. This is defined in the k8s module in our repo.
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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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??
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Deploy the OpenTelemetry Demo App using the OpenTelemetry Demo Helm Chart
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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.
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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.
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otel-collector-charts
This is the repository for Lightstep's recommendations for running an OpenTelemetry Collector.
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.
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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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.
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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.
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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.
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