Modelling
Relational models with business rules. Schemas, integrity, ownership and evolution. We define how it is tested, released and maintained before making it a critical dependency.
Persistence with context
MySQL, PostgreSQL, Redis and search chosen around consistency and access
We select and operate each component according to data ownership, query patterns, failure tolerance and recovery cost.
final class TechnologyDecision
{
public function choose(Context $context): Stack
{
return $this->evidence->fit($context);
}
}
Capability within product context
The choice accounts for domain, team, data, operations and maintenance horizon.
- Relational models with business rules.
- Queries or reports requiring optimization.
- Cache and sessions with explicit boundaries.
- Full-text search or high-volume catalogues.
Adopting technology means owning its complete lifecycle
A component creates value when it solves a concrete need and the team can upgrade, observe and replace it. We therefore assess fit alongside the existing architecture, data and the actual way the product is operated.
Performance
Queries or reports requiring optimization. Indexes, profiling and query patterns. We define how it is tested, released and maintained before making it a critical dependency.
Caching
Cache and sessions with explicit boundaries. Keys, invalidation and safe degradation. We define how it is tested, released and maintained before making it a critical dependency.
Search
Full-text search or high-volume catalogues. Indexing, relevance and synchronization. We define how it is tested, released and maintained before making it a critical dependency.
What we can design, build and operate
Schemas, integrity, ownership and evolution.
Indexes, profiling and query patterns.
Keys, invalidation and safe degradation.
Indexing, relevance and synchronization.
Related technologies
MySQLMariaDBPostgreSQL
RedisOPcacheHTTP cache
ElasticsearchOpenSearchSQL search
Decisions a logo cannot answer
Not every data set tolerates delay or duplication.
Every key needs an invalidation and observation policy.
An index is a recoverable projection, not the source of truth.
Introduce it without creating another technical island
Adoption starts from a bounded need, with explicit compatibility, ownership and an exit path.
We begin with a representative case that validates integration, developer experience, performance and operations. We avoid spreading the technology across the system before understanding its costs: configuration, training, delivery, observability, backups, security and upgrades.
Adoption is complete when there is a repeatable way to work with it. This includes minimum conventions, useful tests, diagnosis, documentation and an owner able to decide when to use it and when not to. If a dependency disappears, changes licence or no longer fits, the product should retain proportionate alternatives.
- ValidateA need, representative case and concrete adoption boundary.
- IntegrateWith real tests, data, security and operating conditions.
- StandardiseConventions, ownership, diagnosis and maintenance accessible to the team.
- ReviewValue, cost, support, alternatives and conditions for replacement.
Before introducing technology
Does the technology determine the architecture?
No. Domain, team, operations and product horizon determine how it should be used.
Can you introduce it into an existing application?
Yes, when integration reduces a real cost or risk and there is an adoption and operations plan.
Content connected to this decision
Continue with diagnosis, execution or related experience.
First conversation
Let’s discuss what your PHP application needs
Tell us about the context, the main blocker and the outcome you need. We will reply with the questions required for an initial assessment.
- No commercial commitment
- Direct contact with the team
- Your details are not sold to third parties