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Google Cloud SQL Management, Beyond What GCP Provides
Geopits provides the expert DBA layer that Google Cloud SQL does not. We manage the performance, cost, and reliability of your Cloud SQL environment so your team gets more from the infrastructure you are already paying for. From slow query analysis and instance rightsizing to read replica health, high availability configuration, and database flag tuning, we handle what Cloud Monitoring and Query Insights surface but cannot fix.
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Cloud SQL Runs Your Database. We Make It Perform.
Google Cloud SQL is a fully managed relational database service on Google Cloud Platform that supports MySQL, PostgreSQL, and SQL Server. It handles the infrastructure layer of database operations, covering provisioning, patching, automated backups, and high availability through synchronous replication to a standby instance, giving teams a managed database without the overhead of server administration.
What Cloud SQL does not provide is database expertise. It monitors infrastructure metrics through Cloud Monitoring and surfaces query-level data through Query Insights, but it does not tune your slow queries, right-size your machine type for your actual workload, fix database flag misconfigurations, or alert your team when a bad execution plan is quietly degrading response times. Geopits fills that gap. We manage the performance and cost layer on top of your Cloud SQL infrastructure so you get the full value of what you are paying Google for.
What We Manage in Your Cloud SQL Environment
Every Geopits Cloud SQL engagement covers the performance and cost layer that Google does not manage. Continuous visibility into query performance, instance utilisation, read replica lag, high availability health, and storage growth powered by GeoOps, our in-house monitoring platform.
24/7 Proactive Monitoring Beyond Cloud Monitoring
Slow Query Analysis and Tuning
Instance Machine Type and Storage Optimisation
Database Flag Configuration and Tuning
Read Replica and High Availability Management
Cost Optimisation and Committed Use Planning
Cloud SQL Backup and Point-in-Time Recovery Management
Cross-Engine Support (MySQL, PostgreSQL, SQL Server)
Engine Version Upgrades
Security, IAM, and Compliance Hardening
How We Layer Expertise on Top of Your Cloud SQL Setup
Most teams already have Cloud SQL running when they bring us in. Our onboarding does not disrupt your existing setup. We start with a read-only assessment of your current configuration before we recommend or change anything.
Why Teams Choose Geopits
Proactive support, predictable pricing, and certified expertise, no matter which platform your business runs on.
Reliable regional failover
High availability configuration tested for actual downtime impact.
Lower cloud spend
Machine type sizing matched to sustained usage, not peak guesses.
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Faster issue resolution
Native performance diagnostics used to catch slow query trends early.
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Transparent progress tracking
Biweekly reports and monthly performance analysis reviewed directly with the client team.
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Predictable, competitive pricing
Pricing structured to stay competitive without cutting corners on support quality.
Certified expertise
Team has hands-on expertise in Google Cloud SQL and holds relevant certifications, including the Google Cloud Professional Cloud Database Engineer, to manage client environments with confidence.
Industries We Serve
Database requirements vary significantly by industry. The uptime threshold for a payment processing system is different from an edtech platform. The compliance surface for a healthcare application is different from a retail analytics stack. Our team has delivered managed DBA services across these verticals.
Banking, Financial Services & Insurance
Geopits manages, secures, and modernises the databases that power core banking, payments, claims, and fraud detection systems. Built for institutions where uptime, compliance and data accuracy are non-negotiable.
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EduTech
Geopits manages, secures and modernises the databases behind LMS platforms, student records and learning analytics. Built for edtech companies that need to scale learner numbers without putting student data or privacy at risk.
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Fintech
Geopits manages, secures, and scales the data infrastructure behind payments, lending, wallets, and embedded finance platforms. Built for fintech teams that need to move fast without putting transaction data or compliance at risk.
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HealthCare
Geopits manages, secures and modernises the databases behind EHR systems, patient records and clinical data. Built for hospitals and health systems where data accuracy, uptime and patient privacy are non-negotiable.
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Logistics
Geopits manages, secures and scales the databases behind booking engines, reservation systems, and loyalty programs. Built for logistics and hospitality platforms that need to handle peak-season traffic without booking data or payments at risk.
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Manufacturing
AI-enabled data management driving efficiency by automating data pipelines, enhancing quality, and accelerating analytics.
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Frequently Asked Questions
If we are already on Google Cloud SQL, why do we need Geopits?
Cloud SQL manages your infrastructure, not your database performance. It handles provisioning, patching, and basic availability, but it does not tune your slow queries, right-size your machine type for your actual workload, fix database flag misconfigurations, or proactively catch execution plan regressions. Geopits provides the expert DBA layer that fills that gap.
What does Google Cloud SQL managed services from Geopits include?
Our Cloud SQL engagement covers 24/7 monitoring beyond Cloud Monitoring, slow query analysis and tuning, instance machine type and storage optimisation, database flag configuration, read replica and high availability management, backup and point-in-time recovery management, cost optimisation, and incident response. Every engagement includes proactive monitoring via GeoOps and a dedicated DBA team familiar with your Cloud SQL environment.
Which Cloud SQL database engines does Geopits support?
Geopits supports all three Cloud SQL engines: MySQL, PostgreSQL, and SQL Server on Cloud SQL. We bring engine-specific DBA expertise to each, not generic Cloud SQL administration.
How does Geopits monitor Cloud SQL differently from Cloud Monitoring?
Cloud Monitoring tracks infrastructure-level metrics like CPU, memory, and disk utilisation. GeoOps, our in-house monitoring platform, adds database-level visibility: slow query tracking, execution plan changes, index usage patterns, replication lag, and connection saturation. We surface and act on issues that Cloud Monitoring cannot see.
How does Geopits help reduce our Cloud SQL costs?
We review machine type selection, storage autoscaling configuration, read replica count and sizing, backup retention policies, and committed use discount opportunities. Most teams find meaningful cost savings within the first quarter without any reduction in performance or availability.
How quickly can Geopits onboard our existing Cloud SQL environment?
Most Cloud SQL environments are fully onboarded within two to three weeks. We start with a read-only audit covering instance configuration, database flags, Query Insights data, slow query logs, and cost breakdown before taking any operational action. No downtime required.
Do you handle Cloud SQL engine version upgrades?
Yes. We assess compatibility, plan the upgrade path, schedule the maintenance window, and manage the upgrade with tested rollback procedures for both minor and major version upgrades across MySQL, PostgreSQL, and SQL Server on Cloud SQL.
Is Geopits Cloud SQL support available for startups or only for large enterprises?
We work with both. Engagements are scoped to your Cloud SQL footprint and growth stage, so you are not paying for coverage that does not match your actual needs.
Ready to Transform Your Data?
Geopits works alongside your team as a strategic partner, starting with stabilizing your current databases, then modernizing your data infrastructure, and ultimately helping you unlock the full potential of AI.
Happy Clients so far
Databases Managed
Successful Migrations
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