![]() Shady hands pain sound (last sound in this) Peter Bark (zdoom forums), goblin doom, Wildweasel (toaster enemy based off a drawing of his).ĭescent to Undermountain, Roland La Goy, Daggerfall, Demonstar,ĭemonstar Secret Missions, Liquidator (FPS), Johnny Cash (singers in map06)ĮDIT: There's some sounds I forgot to credit: Neoworm, Exploding Lips, Bethesda, Liquidator (FPS), Deathkeep, Magestorm Realm667, DavidRaven, ETTiNGRiNDER, Freedoom, Slayer (FPS), You should see the rate increase.BigProjectAlone, skelegant, Raven Software, Witchaven, UnholyPimpin Navigate to the webpage of the demo app and hammer the button, then re-run the above command. Run this command to port-forward the demo app: kubectl port-forward svc/prometheus-demo-app 8080 Note the zero for value: as we have not started clicking the button, the normalised rate is 0 per second. rules: - seriesQuery: 'demo_app_button_clicks_total ![]() We add a not null match on the pod label to ensure it’s associated with one. We only need to discover one metric: demo_app_button_clicks_total. Let’s start off by adding the rules key to our config file: rules: Querying, which specifies how a request for a particular metric on one or more Kubernetes objects should be turned into a query to Prometheus. Naming, which specifies how the adapter should expose the metric in the custom metrics API. Here’s a quote from the rules config docs:Įach rule can be broken down into roughly four parts:ĭiscovery, which specifies how the adapter should find all Prometheus metrics for this ruleĪssociation, which specifies how the adapter should determine which Kubernetes resources a particular metric is associated with. We need to define rules that populate the group. The rules are defined as YAML that we’re going to add to the Prometheus Adapter’s Helm chart. We’re going to install it into our cluster and add a rule that tracks the rate of requests, per pod. ![]() Prometheus-Adapter is an API extension for k8s that uses user-defined Prometheus queries to populate k8s resource & custom metrics APIs. Let’s hit the button once and see what happens when we run the command again: # HELP demo_app_button_clicks_total Multiprocess metric # TYPE demo_app_button_clicks_total counter demo_app_button_clicks_total 1.0Īssuming you got the same output as me, everything’s gone to plan! ![]() We get the following output: # HELP demo_app_button_clicks_total Multiprocess metric # TYPE demo_app_button_clicks_total counter demo_app_button_clicks_total 0.0 If we run: curl -s localhost:8000/metrics | grep demo_app_button_clicks This is then reflected in the /metrics endpoint of the app, which we will eventually configure a running Prometheus instance to periodically scrape. The Prometheus decorator on that endpoint in the server ensures this is recorded by the application.Įach time a POST request comes in, the application increments a Prometheus Counter. The “ Hit me!” issues a POST request to the /click-button endpoint of the website. This is what the deployed application looks like.
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