How to scale to 60 million requests (with ZERO ops team) using Cloud Run

Cloud Run → https://goo.gle/4tMWdaC RocketFlag → https://goo.gle/48KnAda The Batching Strategy →https://goo.gle/424ZlCP Martin Omander always says Cloud Run scales well, but does it? In this one, JK joins me to break down how he took a side project (RocketFlag) from zero to *60 million requests per month* without hiring an ops team or losing his mind over a massive cloud bill. Watch along and learn about: * *The stack:* Why Cloud Run is a "cheat code" for cold starts and high concurrency workloads. * *The "cost trap":* How Firestore and BigQuery writes can cost a lot if you aren't careful (and the batching system JK built in an all nighter to fix it). * *Security:* Using Cloud Armor to block the "garbage traffic" and script kiddies before they even hit your app logs. * *The bill:* A transparent look at the December invoice; spoiler it’s about $180 USD. If you’re building something solo and want to see how to handle "real" traffic without becoming a full time Site Reliability Engineer (SRE), this one is for you. Chapters: 0:00 - Intro 0:25 - Development story 7:36 - Q&A 8:30 - Conclusion Watch more Serverless Expeditions → https://goo.gle/ServerlessExpeditions 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech Speakers: Martin Omander, JK Gunnink Products Mentioned: Cloud Run, Firestore, BigQuery, Cloud Armor, Cloud Billing