**What happens when 2 billion daily metadata events could crash Netflix's entire platform with one bad transformation?**
Today's Platform Engineering Playbook dives deep into Netflix's Data Canary system - a masterclass in building trust and validation into your data pipelines at scale. Plus, we cover the latest platform engineering news that's reshaping how we deploy and monitor distributed systems.
**What You'll Learn:**
• How Netflix validates massive data transformations without risking production
• Container readiness strategies for Spring Boot in Kubernetes environments
• LinkedIn's redesigned SAST pipeline using GitHub Actions and CodeQL
• Why GitOps is becoming essential for platform engineering teams
• Datadog's new LLM observability tools with Google's Agent Development Kit
**Episode Chapters:**
0:00 - Cold Open: Netflix's 2 billion event challenge
2:15 - Platform engineering news roundup
8:30 - Deep Dive: Netflix Data Canary system breakdown
15:45 - Trust frameworks for platform validation
Whether you're scaling data pipelines, improving deployment reliability, or building platform trust frameworks, this episode delivers actionable insights from real-world implementations at companies like Netflix and LinkedIn.
**Sources & References:**
• Netflix Data Canary: https://netflixtechblog.medium.com/the-data-canary-how-netflix-validates-catalog-metadata-18b699d58e36?source=rss-c3aeaf49d8a4------2
• Spring Boot Container Readiness: https://medium.com/@AlexanderObregon/container-readiness-checks-for-spring-boot-deployments-535ab60ca32a
• LinkedIn SAST Pipeline: https://www.infoq.com/news/2026/02/linkedin-redesigns-sast-pipeline/
• GitOps Course: https://platformengineering.org/blog/announcing-new-course-gitops-for-platform-engineering
• AWS Revenue Growth: https://techcrunch.com/2026/02/05/aws-revenue-continues-to-soar-as-cloud-demand-remains-high/
• Datadog LLM Observability: https://www.infoq.com/news/2026/02/datadog-google-llm-observability/
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