Google Cloud Platform
A suite of cloud computing services by Google
Build with generative AI, deploy apps fast, and analyze data in seconds with Google-grade security.
Reviews for Google Cloud Platform
Hear what real users highlight about this tool.
Thanks for providing API services for your platform
Still the best tool for designers, can't live without it
The robust backbone for our entire application. We rely on Google Cloud Run for seamless deployment and hosting, ensuring a fast and reliable experience for users everywhere. It also powers our Text-to-Speech service via Cloud Functions, delivering the crystal-clear audio pronunciation that's critical for language learners. Google Cloud provides the scalable, high-performance infrastructure Aiki is built on.
We chose Google Cloud for ConvertOnline because of its unmatched reliability, scalability, and security. Its global infrastructure ensures fast file processing, seamless cloud performance, and robust data protection, making it the ideal platform for our online file conversion service.
Google cloud is more reliable
We use GCP for IP geolocation (via ipify API) and regional fraud detection. However, our primary infrastructure is Supabase (PostgreSQL) + Lovable Cloud, not GCP directly. We chose Supabase over GCP's Cloud SQL because:
- Row Level Security policies are native, not bolted-on (critical for user data isolation in our sleep tracking dashboard)
- Supabase Edge Functions are simpler than Cloud Functions + Cloud Run (faster cold starts, instant deployment)
- Stripe webhook integration is more reliable with Supabase's built-in event handling
If we scaled to 100M+ users, we'd likely migrate to GCP. For now, Supabase's simplicity + performance + pricing = better fit for a hardware+software startup still proving unit economics.
GCP provides a stable, scalable infrastructure with powerful AI and deployment tools. Its integration with Cloud Run and Build pipelines simplifies backend deployment compared to AWS or Azure.
A suite of cloud computing services by Google
We host everything on Google Cloud, using Cloud Run for our Next.js app, as well as for our microservices and the database. Cloud Run makes it relatively easy (compared to others) to scale and maintain without complex infrastructure setup. We chose Google Cloud over competitors because it offers a cleaner, more integrated experience. We are also part of their Google Cloud for Startups program, where you get quite a lot of help and resources, which is pretty cool of them I think.
GCS made file storage effortless. While S3 has complex pricing and configuration, GCS offered straightforward pricing and instant global availability. Our team profile images are served blazingly fast from edge locations worldwide, and the Node SDK made integration a breeze.
Our stack is clean and fast: real-time sync, Next.js for structure, Tailwind for beautiful UI. Designed to feel invisible so filmmakers can focus on the story.
We decided to use GCP because it helps starter projects like Feedsights with free tiers and we use Google AI Studio with Gemini to power-up our feedback forms.
To build MiLink, I used Google Cloud Platform (GCP). It allowed me to manage the infrastructure reliably and at scale, with centralized databases, storage, and servers. The experience was solid: GCP made development smoother and let me focus on building the features that professionals and businesses really need.
Google Cloud Platform provided the backbone for taking UXBoost.ai from prototypes to a reliable, scalable service. With GCP, I could deploy crawlers, run large-scale UX audits, and store structured analysis results without worrying about infrastructure bottlenecks. Tools like Cloud Run and Compute Engine let me spin up and scale microservices quickly, while Firestore and Cloud Storage handled data persistence and report delivery seamlessly.
GCP’s integrations with AI and security services also gave me confidence to run experiments safely while keeping performance and cost efficiency in balance. Combined with monitoring and logging tools, it helped me move fast without losing visibility into how the system behaved under real-world usage.
In short, GCP turned UXBoost.ai into a platform that’s not just fast to build, but dependable and ready to scale with partners and customers.