Before you scale: A guide to Cloud Run cost optimization

Опубликовано 26 февраля 2026, 17:01

Go to the Optimization Hub → goo.gle/4lf5KV3

Mitchell Slep (Engineering Manager, Cloud Run) joins Martin Omander to walk through the practical mechanics of Cloud Run cost optimization. This deep dive moves past basic billing models into technical configurations for tuning active services.

Key technical takeaways:
1️⃣ Preventing overruns: Implementing max instances, using Cloud Armor for rate limiting, and setting up budget alerts to handle unexpected traffic spikes or attacks.
2️⃣ Utilization tuning: Using the Cloud Hub Optimization report to identify services with low CPU and memory utilization—like a bot using only 2% of its allocated resources.
3️⃣ Concurrency settings: Why increasing the concurrency limit (default 80) can reduce your instance count and overall bill without stalling your system.
4️⃣ Committed Use Discounts (CUDs): How to leverage flexible spend commitments across Cloud Run, GKE, and Compute Engine.

Start saving money today!

Chapters:
0:00 - Intro
1:10 -Preventing billing surprises
3:46 - Optimizing the cost of a running service
8:07 - Recap

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Speakers: Martin Omander, Mitchell Slep
Products Mentioned: Cloud Armor, Cloud Run, Committed Use Discounts