Stored procedures, extensions, schemas and application assumptions make compatibility harder than inventory suggests.
SHELLKODE ENGINEERING · DATABASE MODERNIZATION
Modernize the data engines
your business depends on.
ShellKode assesses, migrates and modernizes database engines, schemas, stored logic and operations reducing migration risk while improving cost, performance, resilience and readiness for modern applications and AI.
THE PROBLEM WE SOLVE
Moving the data is only one part of the change.
License and infrastructure cost can stay high even after a lift and shift migration.
Cutover risk grows when validation, reconciliation and rollback are not engineered from the start.
A new engine without new operating practices leaves the business with old reliability and performance problems.
Assess the estate
Inventory engines, versions, schemas, code, integrations, workload patterns and business criticality.
Choose the target
Match workload needs to the right managed, open source or cloud native engine and migration pattern.
Convert and migrate
Automate where possible; engineer schema, code, replication, cutover and reconciliation where it matters.
Modernize operations
Tune performance, resilience, backup, DR, observability and ongoing database operations.
WHAT WE BUILD
Modern database estates built to perform and evolve.
Database estate assessment
Know what can move quickly, what needs conversion and what carries business risk. Inventory, dependencies and compatibility: Engine inventory, dependency graph, compatibility, TCO, migration waves.
Schema & code conversion
Reduce manual conversion effort while preserving the behavior the application depends on. Stored logic and application coupling: Schemas, procedures, functions, data types, SQL remediation, validation.
Engine migration & cutover
Move production data with a cutover strategy built around continuity and reconciliation. Data movement and transition: Replication, CDC, migration factory, cutover, rollback, data reconciliation.
Performance & cost modernization
Make the new platform materially better not merely different. Workload tuning after migration: Indexing, query tuning, sizing, partitioning, caching, cost optimization.
Database reliability & operations
Leave the database easier to operate, recover and govern. HA, DR, security and observability: HA/DR, backup, monitoring, patching, security, runbooks.
PRODUCTION PROOF
Evidence before adjectives.
70%
A ShellKode customer testimonial published on the company site describes a large database migration completed without transaction loss while reducing database cost by 70%.
Decentro
20%
ShellKode's published case study reports up to 20% cost reduction after migrating and modernizing application and data workloads on AWS.
MetaMap
WHAT YOU WALK AWAY WITH
Deliverables. Not promises.
Estate, dependency and compatibility report
Target engine recommendation and TCO view
Migration wave and cutover plan
Converted schemas, code and migration automation
Validation, reconciliation and rollback evidence
Performance baseline, DR plan and operations runbook
Questions customers ask
The questions that decide the engagement.
What is database modernization?
Database modernization combines migration with changes to engine choice, architecture, code, performance, resilience and operations so the workload is easier and more economical to run after the move.
How do you reduce database migration risk?
By assessing dependencies early, using replication and validation where appropriate, planning rollback, reconciling data and treating cutover as an engineered production event.
Can we modernize without changing every application at once?
Often yes. Migration waves, compatibility layers and phased application changes can separate database risk from a full application rewrite.