Laravel and PHP Backend Expert

What is Laravel?

Laravel is a mature framework with a large ecosystem for building web applications and APIs with PHP. Authentication, database operations, queues, email, scheduled tasks and test infrastructure come ready-made. This lets the team focus on the product's business rules instead of reinventing the wheel.

Laravel being widespread does not by itself mean a quality backend. The real difference shows in data modelling, authorisation, error handling, performance and deployment discipline.

What does a backend expert do?

• Designs the data model. Tables, relationships and indexes are set up with reporting and growth scenarios in mind.
• Builds APIs. The services mobile and web applications talk to: versioning, validation and consistent error responses.
• Sets up admin panels. Roles, permissions, audit logs and reports; the interface teams use to manage data safely.
• Integrates. ERP, CRM, payments, accounting, email/SMS and third-party services.
• Improves performance. Slow queries, the N+1 problem, caching, queues and background jobs.
• Applies security. Authentication, authorisation, data validation, rate limiting, logging and backups.
• Ships and monitors. Deployment pipeline, environment variables, health checks and error tracking.

Enterprise integrations

In enterprise projects, most of the backend's time is spent talking to external systems. Stock in the ERP, the customer in the CRM, the invoice in accounting and the transaction at the payment provider are different faces of the same data. A good integration clarifies the following:

• Which system is the single source of truth for the data, and which fields belong to whom?
• What happens if the request is repeated (idempotency)?
• How do queues and retries work when the other side is down?
• Who is notified on error, and how is the operation rolled back?

Performance and security

• Query discipline. Indexes, pagination and avoiding unnecessary relationship loading.
• Caching. The right layer and lifetime for frequently read data; the wrong cache is more expensive than wrong data.
• Queues. Email, notification, report and file jobs are taken out of the request cycle.
• Authorisation. Role- and record-based checks at every endpoint; hiding things in the UI is not security.
• Observability. Slow query and error logs, business metrics and alerts.

My experience

At DoktorAsistan I built the backend of the patient-doctor communication platform with PHP/Laravel and Python. Multi-channel notifications, automated email flows, CRM enrichment, analytics and AI services run in the same system.

As CTO at Açık Deniz Bilişim, I managed the architecture of enterprise B2B products: ERP and CRM integrations, end-to-end encrypted communication, secure file storage and sharing. Java, PHP and TypeScript were used together.

At E-Veri Bilişim we developed PHP and .NET based web applications running on Oracle and MySQL databases.

Modernising an existing system

An old system does not always have to be rewritten from scratch. First the existing behaviour must be locked in with tests, then migrated piece by piece. This approach modernises without stopping the working business. I explained the logic of staged work in this article.

How does the process work?

1. Discovery. Business rules, roles, integrations and data sources.
2. Architecture. Data model, API contracts, security and deployment plan.
3. Staged development. A working and tested delivery at each stage.
4. Integration and load testing. Scenarios and error cases with real data.
5. Release and monitoring. Deployment, backups, health checks and handover.