Right-sized and cost-aware
Instance classes, storage types, IOPS and reserved capacity are chosen from observed demand, and reviewed as usage changes.
Cloud Database Management: RDS, Aurora, Azure SQL & Cloud SQL
Managed cloud databases take care of the hardware, not the hard parts. We size, secure, tune and operate Amazon RDS and Aurora, Azure SQL and Google Cloud SQL so they stay fast, resilient and affordable.
Managed services we run
Every cloud has its own limits, metrics and pricing model. We know where each one bites.
AWS
- Amazon RDS
- Amazon Aurora
- Aurora Serverless
- ElastiCache
Azure
- Azure SQL Database
- Azure SQL Managed Instance
- Azure Database for PostgreSQL & MySQL
Google Cloud
- Cloud SQL
- AlloyDB
- Memorystore
Multi-cloud
- MongoDB Atlas
- ClickHouse Cloud
Who it's for
Teams usually come to us in one of these situations.
Teams moving to managed databases
Organisations adopting RDS, Aurora, Azure SQL or Cloud SQL for the first time.
Rising database bills
Cloud database spend growing faster than usage.
Compliance-driven teams
Businesses that must prove encryption, backups and access controls.
The convenience of managed, the control of engineered
We configure parameter groups, replicas, maintenance windows, monitoring and alerts as code, so every environment is consistent and every change is reviewable.
- Infrastructure as Code for every instance
- Multi-AZ and cross-region recovery
- Performance Insights and query statistics
How we run cloud databases
Resilient by design
Multi-AZ deployments, read replicas, automated backups and point-in-time recovery are configured and tested against your recovery objectives.
Secure by default
Private networking, IAM and database roles, encryption at rest and in transit, parameter hardening and audit logging.
Everything as code
Instances, parameter groups, replicas, users and alarms are defined in Terraform, so environments are consistent, reviewable and easy to recreate.
Performance on managed services
We use Performance Insights, Query Store and engine statistics to tune queries and parameters within the limits each managed service allows.
Common situations we solve
Real problems we are asked to fix, what we do about them and the result to expect.
The situation
Your RDS or Cloud SQL bill keeps climbing
We analyse instance, storage, IOPS and backup costs, right-size what is oversized and move to the right storage and commitment options.
Lower cost with the same performance
The situation
Databases were created by hand in the console
We import instances, parameter groups, users and alarms into Terraform so every environment matches and changes are reviewed.
Reproducible, auditable database environments
The situation
Failover has never been tested
We verify Multi-AZ, replicas and point-in-time recovery with planned drills and document the results and timings.
Confidence that recovery works
The situation
An auditor asks how databases are secured
We enforce private networking, encryption, rotation of credentials and least-privilege roles, and collect the evidence auditors ask for.
Audit-ready controls and evidence
What you get
Right-sized spend
Instances, storage and IOPS matched to real demand.
Tested resilience
Multi-AZ, replicas and point-in-time recovery verified, not assumed.
Secure by default
Private networking, encryption and least-privilege access everywhere.
Our cloud database health check
- Instance and storage right-sizing
- Backup, snapshot and PITR review
- High-availability and failover test
- Security and network exposure review
- Parameter and engine-version review
- Cost and reserved-capacity plan
Frequently asked questions
Do managed databases still need a DBA?
Yes. The provider runs the infrastructure, but query design, indexing, capacity, cost and recovery planning are still yours.
Can you reduce our RDS or Aurora bill?
Usually. We look at instance sizing, storage and IOPS, idle replicas, snapshot retention and reserved capacity, and estimate savings from your actual usage.
Which clouds do you support?
AWS (RDS, Aurora), Microsoft Azure (Azure SQL, Database for PostgreSQL and MySQL) and Google Cloud (Cloud SQL, AlloyDB).
Should we use Aurora or standard RDS?
It depends on workload, availability needs and budget. We compare both against your usage before recommending one.
Can you help with reserved instances and savings plans?
Yes. Commitments are recommended only after usage is stable and right-sized, so savings are real.
Do you support multi-region setups?
Yes. We design cross-region replicas and backups where recovery or data-location requirements call for them.
Talk to us about Cloud Databases: RDS, Aurora & Cloud SQL.
Request a scoped cloud assessment, or start with a free DevOps and SRE consultation. Talk to us about services, AI solutions or enterprise development.