Cloud databases.
Fully managed database systems where the provider handles setup, scaling and patching for SQL and NoSQL data. We choose the right service, move your data across and keep it fast, backed up and affordable.
What’s included.
Design and migration
- Choosing between SQL and NoSQL for the workload
- Schema design and indexing
- Migration from on-premises or self-managed databases
- A cutover planned to keep downtime short
Run
- Automated backups and point-in-time recovery
- Replicas and failover for availability
- Scaling as data and traffic grow
- Patching and version upgrades handled by the platform
Control
- Access limited by role and by network
- Encryption at rest and in transit
- Slow queries found and fixed
- Cost reviews and right-sizing
In detail.
SQL databases
Relational databases such as PostgreSQL, MySQL and SQL Server suit structured data: customers, orders and invoices. Managed services include Amazon RDS, Azure SQL Database and Cloud SQL on Google Cloud.
NoSQL databases
Document and key-value databases suit data that changes shape or arrives in volume: sessions, catalogues and event logs. Managed services include Amazon DynamoDB, Azure Cosmos DB and Firestore on Google Cloud.
How it works.
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Assess
We look at the data, how it is queried and how much downtime a move can tolerate.
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Design
We pick the service and size it, then set out backups, access and failover.
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Migrate
Data moves across with a tested way back, then the application is pointed at it.
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Operate
We watch performance, backups and cost, and tune as usage changes.
Related
- Compute Infrastructure on AWS, Azure, Google Cloud and Linode, designed, migrated and managed.
- Data Management Backup for Microsoft 365, cloud, servers and laptops, disaster recovery, and restores that are tested.
- Software Web applications, portals, internal tools and APIs built around how your business works.
Tell us what needs sorting.
Book a call or send an email. We reply within one business day.