PHP 8

PHP runs on the server: it handles business rules, data access, sessions, integrations and building responses for a browser or mobile app. Its ecosystem powers both bespoke systems and platforms such as Symfony, WordPress and Sylius.

Mature libraries and widely available hosting make it easier to build and maintain a product. The benefit only appears, however, when the application has a clear architecture, up-to-date dependencies, tests and an environment you can monitor. The language alone does not remove technical debt.

At Okinet we build new PHP solutions and modernise existing ones. We can work on the whole back end, a selected module or an integration, while keeping the system running.

PHP is a good fit for applications that handle forms, orders, user accounts, content and data from external systems. You can use it to build a B2B panel, a customer portal, a mobile app back end, an e-commerce solution or an API service.

For a content project, WordPress can speed up the launch and let the marketing team edit pages themselves. When you need a complex domain and your own processes, Symfony gives more control over the architecture. Sylius is a foundation for flexible e-commerce. We don’t treat these tools as interchangeable for every case.

First we establish the process, user roles, integrations and maintenance requirements. On that basis we choose a ready-made platform, a framework or a combination of several elements.

The term “PHP 8” covers a series of branches, each with its own support cycle. According to the official table, in September 2026 PHP 8.4 and 8.5 have active support, while 8.2 and 8.3 only receive critical security fixes. PHP 8.0 and 8.1 have reached end of life.

So we don’t plan a new project around the first 8.0 release. We choose a currently supported branch that is compatible with the framework, libraries and hosting. We record the date of the next review in the maintenance plan.

Upgrading the version is not a one-off clean-up that lasts for years. Regular, smaller upgrades are usually easier to test than jumping several releases at once, often only after a security problem has appeared.

Successive PHP 8 releases expanded the type system and added attributes, enums and other features that help describe code more precisely. The team can spot mismatched data earlier and understand the contract of a class or method more easily.

Types will not automatically fix an old architecture. They are best introduced together with static analysis, tests and a clear split of responsibilities. In an existing system we start at the boundaries: DTOs, API responses, integrations and new modules.

Working in stages means the product can keep receiving the features it needs. We raise the level of strictness where it reduces risk, instead of starting months of clean-up with no visible effect for the business.

A PHP back end can connect an online shop or portal with ERP, CRM and WMS systems, payments, couriers and marketing services. A good integration has a clearly described data format, authentication, timeouts, retries and defined behaviour when part of the system fails.

Operations such as payments or creating an order should be safe if they are triggered twice. Queues let you move slower tasks out of the user’s request, but they need monitoring and handling of messages that could not be processed.

We log a flow identifier, not unnecessary secrets or full personal data. This makes it possible to trace a problem across systems without creating extra risk in the logs.

Response time depends on the PHP code, database, cache, network and external services. OPcache reduces the cost of recompiling scripts, and PHP-FPM lets you manage the processes that handle requests. They won’t, however, fix a slow query or an integration without a timeout.

We profile the busiest paths, analyse queries and check how the system behaves under traffic close to production levels. We use caching where we can define how long data stays valid and how it is invalidated.

Scaling may mean extra application instances, queues, a read replica or changing a single process. We don’t expand infrastructure before removing simpler bottlenecks, because that raises running costs with no guarantee of improvement.

A supported PHP version is the foundation, but security also covers the framework, Composer libraries, server configuration and the application code. We test updates regularly and check dependencies for known vulnerabilities.

We validate input on the server, parameterise database queries, store passwords using mechanisms designed for hashing them, and check permissions for every operation. Secrets should not be kept in the repository.

A backup does not replace protection, and protection does not replace a backup. We define a recovery procedure, limit access and monitor unusual errors. We tailor the scope to the value of the data and the impact of downtime.

We start an upgrade by listing the versions of PHP, the framework, extensions and Composer packages. We run static analysis, check warning logs and build tests around the processes that must not break.

Then we remove incompatibilities in stages. Sometimes the framework has to be upgraded first, or an unsupported library replaced. The test environment should mirror production as closely as possible, including the database, queues and extensions.

The deployment gets a rollback plan and monitoring. If the upgrade involves changing data, we prepare a migration that fits the system’s availability window. After the upgrade we remove temporary compatibility layers so they don’t become new technical debt.

PHP has a strong ecosystem of web applications, CMS platforms and e-commerce. Node.js lets you use JavaScript on both the front end and back end, and suits some real-time uses well. Python is popular in data and AI, while Java is common in large corporate environments.

Any of these technologies can handle a typical back end. The difference comes from the domain requirements, the team available, existing libraries, company standards and the cost of maintenance over many years. Replacing a working stack needs a stronger reason than starting a new module.

In a distributed system, not every service has to use the same language. More technologies do, however, increase operational demands, so we only introduce them when they solve a specific problem.