Databases
Resilient database topologies for zero data loss and maximum throughput.
We design, tune, and maintain relational, NoSQL, vector, and time-series database architectures, ensuring high availability, automated backups, and sub-millisecond query latency.
The catastrophic risks of neglected database infrastructure
As applications scale, unoptimized database queries saturate CPU, unmonitored disk space causes sudden outages, and unverified backup routines fail catastrophically during recovery attempts.
Unindexed queries causing full table scans and bringing database CPUs to 100%
Deadlocks and locking contention halting concurrent write transactions
Lack of automated failover leading to hours of downtime when a primary node fails
Backups that were never tested for restore, creating catastrophic business risk
Database Architecture Capabilities
High-Availability Clustering & Replication
Configuring multi-AZ primary-replica topologies with automated failover (Patroni, AWS Aurora) to ensure 99.99% availability.
Deep Query & Index Optimization
Analyzing EXPLAIN ANALYZE query execution plans, adding composite/partial indexes, and tuning memory parameters (shared_buffers, work_mem).
Zero-Downtime Schema Migrations
Executing complex schema migrations on live tables with millions of rows without table locks or service interruptions.
Disaster Recovery & Point-in-Time Restore
Continuous Write-Ahead Logging (WAL) archiving and automated restore validation ensuring Recovery Point Objective (RPO) under 60 seconds.
Proven runtimes and industry-standard protocols.
We select tools based on operational reliability, long-term maintainability, and horizontal scaling capabilities.
Relational Engines
NoSQL & Caching
Vector & Time-Series
Clustering & Tools
Why companies choose CodeSelf.
We operate as your dedicated technical partner with production codebases and zero markups.
What you receive at handoff.
Every engagement concludes with documented, tested, and deployable production codebases with zero ongoing licensing fees.
How CodeSelf builds and delivers databases.
Sprint-based delivery with weekly code releases directly into your private staging environment.
Workload & IOPS Profiling
Analyze read/write ratios, concurrency peaks, and memory working set sizes to size instances.
Schema Design & Indexing
Design normalized data models with foreign keys, check constraints, and targeted indexes.
High-Availability Configuration
Set up connection poolers (PgBouncer), read replicas, and automated failover agents.
Disaster Recovery Drills
Simulate primary node crashes and verify automated failover and backup restoration under load.
Key technical and commercial questions.
Who owns the source code and intellectual property for databases systems?+
Can this technology stack be deployed inside our private cloud infrastructure (AWS/GCP/Azure)?+
How do you ensure zero downtime when updating live production services?+
What happens after the project launch? Do you provide ongoing maintenance and handover?+
Related technologies in our stack.
Backend / APIs
We design and build secure distributed backends, REST/gRPC/GraphQL services, asynchronous job workers, and database architectures built for 99.99% uptime under high concurrent load.
Data & Lakehouse Architecture
We build robust batch and streaming data pipelines, medallion data lakehouses, and real-time event brokers that supply accurate, trusted data to analytics teams and production AI models.
Cloud
We design and deploy modern cloud infrastructures that eliminate single points of failure, automate disaster recovery, and optimize infrastructure spend using Infrastructure as Code (Terraform).
Ready to build or scale your databases stack?
Schedule an architectural consultation with our senior systems team to evaluate infrastructure, tooling, and delivery roadmaps.