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⚙️ In this episode, we shift gears from infrastructure observability to application observability. Join Lisa Jung and Mischa Thompson from Grafana Labs to build a pipeline for application metrics using Grafana Alloy! We will: - Collect application metrics using the prometheus.scrape component - Export metrics to locally running Mimir using the prometheus.write.queue component RESOURCES: Grafana Alloy for Beginners series repo https://github.com/grafana/Grafana-Alloy-for-Beginners Grafana Alloy documentation https://grafana.com/docs/alloy/latest/ Alloy configuration blocks https://grafana.com/docs/alloy/latest/reference/config-blocks/ Alloy components https://grafana.com/docs/alloy/latest/reference/components/ Collect and forward data with Grafana Alloy https://grafana.com/docs/alloy/latest/collect/ Grafana Alloy Tutorials https://grafana.com/docs/alloy/latest/tutorials/ The learning environment was based off of grafana/intro-to-mltp https://github.com/grafana/intro-to-mltp This repo is a great resource for learning about the Grafana stack end to end, so check it out if you'd like a full end-to-end working example! Get started with the Grafana Cloud forever-free tier: https://grafana.com/g/cloud Have a question? Ask Grot, your AI helper: https://grafana.com/grot/ Reach out in our community forums: https://gra.fan/communityyf --- Thanks for watching! 👍 Was this video helpful? Like and subscribe to our channel for more videos. Connect with Grafana Labs: X: (https://www.twitter.com/grafana) LinkedIn: (https://www.linkedin.com/company/grafana-labs/) Facebook: (https://www.facebook.com/grafana) #Grafana #Observability #GrafanaAlloy #Beginners