Database & Storage Solutions

Google Cloud SQL – Fully Managed Relational Database

Google Cloud SQL is a fully managed SQL database that handles maintenance, backups, and scaling for you.

Benefits of Cloud SQL

• Managed Infrastructure – No need to worry about updates, patches, or backups.
• Scalability – Scale up or down depending on traffic and storage needs.
• Security – Built-in encryption, IAM access control, and automated failover.
• High Availability – Multi-zone replication for reliability.

Firestore – Serverless NoSQL Database for Scalable Applications

Firestore is a cloud-native NoSQL document database that offers real-time syncing, and automatic scaling.

Benefits of Firestore

• Real-Time Synchronization – Instant updates across all devices.
• Fully Managed – No need to manage servers or scaling.
• Strong Security – Firestore security rules and Firebase Authentication integration.

Google Cloud Storage – Secure, Scalable Object Storage

Google Cloud Storage is a highly durable object storage solution for unstructured data like images, videos, backups, and large datasets.

Benefits of Cloud Storage

• Scalable & Cost-Effective – Pay only for what you use, with multiple storage classes.
• Global Availability – Store and access data from anywhere.
• Secure by Default – IAM-based permissions and encryption.
• Ideal for Backups & Media – Store logs, backups, images, and streaming content efficiently.

2. Monitor: Keep Your Databases & Storage Running Smoothly

Databases and storage need constant monitoring to ensure reliability, security, and cost control.

• Database Performance Monitoring – Track query performance and optimize resource usage.
• Automated Alerts & Logging – Set up Cloud Logging and Monitoring for instant issue detection.
• Cost & Storage Usage Tracking – Monitor and optimize cloud storage costs.

3. Optimize: Improve Database Performance & Cut Costs

Once your database and storage are running, Cloud Nativo will help fine-tune your data resources for faster performance and lower costs.

• Optimize Cloud SQL queries for faster response times and lower compute costs.
• Structure Firestore data efficiently to reduce reads, writes, and costs.
• Reduce storage costs by using lifecycle rules and the right storage class (Standard, Nearline, Coldline, or Archive).