Learn how to use OpenTelemetry to get full stack observability on the performance and behavior of your software projects. ✏️ Course developed by Ania Kubów. Check out her channel: https://www.youtube.com/channel/UC5DNytAJ6_FISueUfzZCVsw 🔗 Step by step guide for this project: https://dev.to/newrelic/instrumenting-your-node-js-apps-with-opentelemetry-5flb 💻 Repositories:
🔗 Tracing Project: https://github.com/kubowania/opentelemetry-tracing
🔗 Distributed Tracing: https://github.com/kubowania/opentelemetry-movies-microservices
🔗 New Relic OpenTelemetry Examples: https://github.com/newrelic/newrelic-opentelemetry-examples
🔗 New Relic OpenTelemetry Exporter: https://github.com/newrelic/newrelic-opentelemetry-examples/tree/main/collector/nr-exporter-docker ⭐️ Course Contents ⭐️
⌨️ (0:00:00) What is OpenTelemetry
⌨️ (0:03:04) Course Outline
⌨️ (0:03:40) Let’s go!
⌨️ (0:04:49) What are Microservices?
⌨️ (0:07:11) What is Observability?
⌨️ (0:07:55) M.E.L.T
⌨️ (0:09:57) History
⌨️ (0:11:22) Setting up our Project
⌨️ (0:21:43) What is Tracing?
⌨️ (0:25:33) Context and Propagation
⌨️ (0:27:33) Setting up our Tracing
⌨️ (0:33:26) What are Metrics?
⌨️ (0:43:37) Use cases for OpenTelemetry
⌨️ (0:45:29) Setting up Distributed Tracing
⌨️ (1:01:04) Using other Analysis Tools – New Relic
⌨️ (1:07:44) Where to go next 🎉 This course was made possible by a grant from New Relic. 🎉 Students can get even more out of their free New Relic account through the GitHub Student Developer Pack. Get full access to New Relic one for three full users; 500 GB/month of data ingest; and free-tier AI to instantly detect and resolve issues. Sign up for FREE at https://newrelic.com/signup?utm_campaign=fy20-q1-amer-obsv-video-free_code_camp-video-&utm_medium=video&utm_source=free_code_camp&utm_content=video&fiscal_year=fy20&quarter=q1&program=obsv&audience=none&creative=none&placement=none&targeting=none&ad_type=none&geo=amer 🎉 Thanks to our Champion and Sponsor supporters:
👾 Wong Voon jinq
👾 Katia Moran
👾 Nick Raker
👾 Otis Morgan
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OpenTelemetry Course – Understand Software Performance