I’m creating this topic to open a detailed, experience-driven discussion around Google Cloud Platform infrastructure, especially focusing on Cloud Storage, Compute Engine, networking, and data transfer patterns. The goal is to go beyond documentation and talk about what actually happens in real-world setups—what works well, what breaks at scale, and what trade-offs we end up making in production.
This space is meant for developers, DevOps engineers, SREs, and architects who are designing, deploying, or maintaining workloads on GCP. Feel free to share insights on performance tuning, cost optimization, networking behavior, storage architecture decisions, data egress/ingress challenges, hybrid or multi-cloud scenarios, and lessons learned from real incidents or migrations.
Discussions around edge cases, undocumented behaviors, scalability limits, security considerations, monitoring, automation, and infrastructure-as-code practices are especially welcome. Whether you’re running small workloads or large-scale production systems, your practical experiences and technical perspectives can help others in the community make better decisions.
The intent is to keep this discussion open, technical, and experience-focused—so please share anything you feel is valuable from a hands-on engineering point of view.
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