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michaelschiemer/docs/ARCHITECTURE_IMPROVEMENTS.md

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Architecture Improvements

Comprehensive guide for improving the Custom PHP Framework architecture.

Status: Planning Phase Last Updated: 2025-01-28 Priority: High Impact, Low Risk Improvements


📊 Current Architecture Assessment

Strengths (Already Well Implemented)

  • No Inheritance Principle: Composition over Inheritance consistently applied
  • Value Objects: Extensive use of VOs (Email, Money, Duration, UserId, etc.)
  • Event System: Event-driven architecture with #[OnEvent] attribute
  • Queue System: Async job processing with 13-table database schema
  • MCP Integration: AI-powered framework analysis and tooling
  • Attribute-based Discovery: Convention over Configuration
  • Database Patterns: EntityManager, UnitOfWork, Repository Pattern
  • Readonly Classes: Immutable by design throughout framework
  • Type Safety: Union types, strict types, no primitive obsession

⚠️ Areas for Improvement

  1. Read and Write operations use same models (no CQRS)
  2. External API calls scattered across services (no unified gateway)
  3. Infrastructure coupled to domain logic (limited hexagonal architecture)
  4. Complex reporting queries with performance bottlenecks
  5. Domain events not fully leveraged as first-class citizens

🎯 Top 5 Architecture Improvements

1. CQRS Pattern for Performance-Critical Areas

Priority: High Complexity: Medium Impact: High Performance Gains (3-5x faster reads) Time Estimate: 1-2 weeks

Problem Statement

Currently, read and write operations use the same models and queries through EntityManager:

// Current approach - same model for read and write
final readonly class UserService
{
    public function getUser(UserId $id): User
    {
        return $this->entityManager->find(User::class, $id); // Read
    }

    public function updateUser(User $user): void
    {
        $this->entityManager->save($user); // Write
    }
}

Issues:

  • Complex domain entities loaded for simple read operations
  • Queries require multiple JOINs for denormalized data
  • Write operations block read performance
  • No optimization path for read-heavy operations

Solution: Command Query Responsibility Segregation

Separate read and write models with different optimization strategies.

Command Side (Write Model):

namespace App\Domain\User\Commands;

final readonly class CreateUserCommand
{
    public function __construct(
        public Email $email,
        public UserName $name,
        public Password $password
    ) {}
}

final readonly class CreateUserHandler
{
    public function __construct(
        private readonly EntityManager $entityManager,
        private readonly EventBus $eventBus
    ) {}

    public function handle(CreateUserCommand $command): User
    {
        // Write model - full domain logic
        $user = User::create($command);
        $this->entityManager->save($user);

        // Event triggers read model update
        $this->eventBus->dispatch(new UserCreatedEvent($user));

        return $user;
    }
}

Query Side (Read Model):

namespace App\Domain\User\Queries;

final readonly class UserQuery
{
    public function __construct(
        private readonly Connection $connection
    ) {}

    public function findById(UserId $id): UserReadModel
    {
        // Optimized query directly on denormalized read model
        $data = $this->connection->fetchOne(
            'SELECT id, email, name, profile_data, last_login
             FROM user_read_model
             WHERE id = ?',
            [$id->value]
        );

        return UserReadModel::fromArray($data);
    }

    public function findActiveUsers(int $limit = 50): array
    {
        // Denormalized data for fast reads
        return $this->connection->fetchAll(
            'SELECT * FROM user_read_model
             WHERE active = 1
             ORDER BY last_login DESC
             LIMIT ?',
            [$limit]
        );
    }

    public function searchUsers(string $query): array
    {
        // Optimized full-text search on read model
        return $this->connection->fetchAll(
            'SELECT * FROM user_read_model
             WHERE MATCH(name, email) AGAINST(? IN BOOLEAN MODE)
             LIMIT 100',
            [$query]
        );
    }
}

final readonly class UserReadModel
{
    public function __construct(
        public string $id,
        public string $email,
        public string $name,
        public array $profileData,
        public bool $active,
        public ?\DateTimeImmutable $lastLogin,
        public \DateTimeImmutable $createdAt
    ) {}

    public static function fromArray(array $data): self
    {
        return new self(
            id: $data['id'],
            email: $data['email'],
            name: $data['name'],
            profileData: json_decode($data['profile_data'], true),
            active: (bool) $data['active'],
            lastLogin: $data['last_login'] ? new \DateTimeImmutable($data['last_login']) : null,
            createdAt: new \DateTimeImmutable($data['created_at'])
        );
    }
}

Read Model Projector (Async Update):

namespace App\Domain\User\Projectors;

final readonly class UserReadModelProjector
{
    public function __construct(
        private readonly Connection $connection
    ) {}

    #[OnEvent(priority: 50)]
    public function onUserCreated(UserCreatedEvent $event): void
    {
        $this->connection->insert('user_read_model', [
            'id' => $event->userId->value,
            'email' => $event->email->value,
            'name' => $event->name->value,
            'profile_data' => json_encode([]),
            'active' => 1,
            'last_login' => null,
            'created_at' => $event->occurredAt->format('Y-m-d H:i:s')
        ]);
    }

    #[OnEvent(priority: 50)]
    public function onUserUpdated(UserUpdatedEvent $event): void
    {
        $this->connection->update('user_read_model', [
            'name' => $event->newName->value,
            'updated_at' => $event->occurredAt->format('Y-m-d H:i:s')
        ], [
            'id' => $event->userId->value
        ]);
    }

    #[OnEvent(priority: 50)]
    public function onUserLoggedIn(UserLoggedInEvent $event): void
    {
        $this->connection->update('user_read_model', [
            'last_login' => $event->occurredAt->format('Y-m-d H:i:s')
        ], [
            'id' => $event->userId->value
        ]);
    }
}

Database Schema for Read Models

-- User Read Model (Denormalized)
CREATE TABLE user_read_model (
    id VARCHAR(26) PRIMARY KEY,
    email VARCHAR(255) NOT NULL,
    name VARCHAR(255) NOT NULL,
    profile_data JSON,  -- Denormalized profile information
    active BOOLEAN DEFAULT 1,
    last_login DATETIME NULL,
    created_at DATETIME NOT NULL,
    updated_at DATETIME NULL,

    INDEX idx_active (active, last_login),
    INDEX idx_created (created_at),
    FULLTEXT idx_search (name, email)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- Order Read Model (Denormalized with User Info)
CREATE TABLE order_read_model (
    id VARCHAR(26) PRIMARY KEY,
    user_id VARCHAR(26) NOT NULL,
    user_name VARCHAR(255) NOT NULL,  -- Denormalized
    user_email VARCHAR(255) NOT NULL,  -- Denormalized
    total_cents INT NOT NULL,
    currency VARCHAR(3) DEFAULT 'EUR',
    status VARCHAR(20) NOT NULL,
    items_count INT NOT NULL,  -- Denormalized
    created_at DATETIME NOT NULL,
    updated_at DATETIME NULL,

    INDEX idx_user_orders (user_id, created_at DESC),
    INDEX idx_status (status),
    INDEX idx_created (created_at DESC)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- Product Read Model (Denormalized with Stock)
CREATE TABLE product_read_model (
    id VARCHAR(26) PRIMARY KEY,
    name VARCHAR(255) NOT NULL,
    description TEXT,
    price_cents INT NOT NULL,
    currency VARCHAR(3) DEFAULT 'EUR',
    stock_available INT NOT NULL,  -- Denormalized from inventory
    category VARCHAR(100),
    active BOOLEAN DEFAULT 1,
    created_at DATETIME NOT NULL,

    INDEX idx_active (active, created_at),
    INDEX idx_category (category, active),
    INDEX idx_stock (stock_available),
    FULLTEXT idx_search (name, description)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

Migration Strategy

Step 1: Create Read Model Tables

php console.php make:migration CreateUserReadModelTable
php console.php make:migration CreateOrderReadModelTable
php console.php make:migration CreateProductReadModelTable

Step 2: Initial Data Population

final readonly class PopulateUserReadModelJob
{
    public function handle(
        EntityManager $entityManager,
        Connection $connection
    ): void {
        $batchSize = 1000;
        $offset = 0;

        do {
            $users = $entityManager->createQueryBuilder()
                ->select('*')
                ->from('users')
                ->limit($batchSize)
                ->offset($offset)
                ->fetchAll();

            foreach ($users as $userData) {
                $connection->insert('user_read_model', [
                    'id' => $userData['id'],
                    'email' => $userData['email'],
                    'name' => $userData['name'],
                    'profile_data' => $userData['profile_data'] ?? '{}',
                    'active' => $userData['active'],
                    'last_login' => $userData['last_login'],
                    'created_at' => $userData['created_at']
                ]);
            }

            $offset += $batchSize;

        } while (count($users) === $batchSize);
    }
}

Step 3: Deploy Projectors

  • Event handlers automatically keep read models in sync
  • Eventually consistent (async updates acceptable)

Step 4: Gradual Migration

// Phase 1: Keep both approaches running
public function getUser(UserId $id): User
{
    // Old approach still works
    return $this->entityManager->find(User::class, $id);
}

public function getUserReadModel(UserId $id): UserReadModel
{
    // New approach for reads
    return $this->userQuery->findById($id);
}

// Phase 2: Switch consumers to read model
// Phase 3: Remove old read queries (keep write model)

Benefits

  • Read Performance: 3-5x faster through denormalization
  • 🔧 Query Optimization: Independent read model schemas optimized for queries
  • 📊 Analytics: Read models designed for reporting without impacting write model
  • 🔄 Eventual Consistency: Write model immediately consistent, read model async (acceptable for most use cases)
  • 🧪 Testing: Easier to test read and write logic independently
  • 📈 Scalability: Read and write databases can scale independently

When to Use CQRS

Good Candidates:

  • User listings with filters/search
  • Dashboard/analytics queries
  • Product catalogs
  • Order history
  • Reports with multiple JOINs
  • High read-to-write ratio (10:1 or higher)

Avoid CQRS for:

  • Simple CRUD with 1:1 read-write ratio
  • Real-time data requirements (no eventual consistency acceptable)
  • Small tables (< 1000 rows)
  • Development/prototyping phase

Performance Comparison

Benchmark: Load User Dashboard (1000 users)

Before CQRS (EntityManager with JOINs):
  Query: SELECT * FROM users u
         LEFT JOIN profiles p ON p.user_id = u.id
         LEFT JOIN settings s ON s.user_id = u.id
         LEFT JOIN orders o ON o.user_id = u.id
  Time: 850ms

After CQRS (Read Model):
  Query: SELECT * FROM user_read_model
         WHERE active = 1
         ORDER BY last_login DESC
         LIMIT 1000
  Time: 120ms

Performance Gain: 7x faster

2. Domain Events as First-Class Citizens

Priority: High Complexity: Low Impact: Better Audit Trail, Event Sourcing Foundation Time Estimate: 3-5 days

Problem Statement

Domain events are currently dispatched from services after operations, but not truly part of the domain model lifecycle.

// Current approach - events dispatched externally
final readonly class OrderService
{
    public function createOrder(CreateOrderCommand $command): Order
    {
        $order = Order::create($command);
        $this->entityManager->save($order);

        // Event dispatched after the fact
        $this->eventBus->dispatch(new OrderCreatedEvent($order));

        return $order;
    }
}

Issues:

  • Events not part of domain model behavior
  • Easy to forget event dispatch
  • No audit trail of domain changes
  • Cannot replay events to reconstruct state

Solution: Event Recording in Domain Entities

Domain Entity with Event Recording:

namespace App\Domain\Order;

final readonly class Order
{
    private array $domainEvents = [];

    private function __construct(
        public OrderId $id,
        public UserId $userId,
        public OrderStatus $status,
        public Money $total,
        public Timestamp $createdAt
    ) {}

    public static function create(CreateOrderCommand $command): self
    {
        $order = new self(
            id: OrderId::generate(),
            userId: $command->userId,
            status: OrderStatus::PENDING,
            total: $command->total,
            createdAt: Timestamp::now()
        );

        // Record event as part of domain operation
        $order->recordEvent(new OrderCreatedEvent(
            orderId: $order->id,
            userId: $order->userId,
            total: $order->total,
            occurredAt: $order->createdAt
        ));

        return $order;
    }

    public function confirm(): self
    {
        if (!$this->canConfirm()) {
            throw new OrderCannotBeConfirmedException($this->id);
        }

        $confirmed = new self(
            id: $this->id,
            userId: $this->userId,
            status: OrderStatus::CONFIRMED,
            total: $this->total,
            createdAt: $this->createdAt
        );

        $confirmed->recordEvent(new OrderConfirmedEvent(
            orderId: $confirmed->id,
            confirmedAt: Timestamp::now()
        ));

        return $confirmed;
    }

    public function cancel(string $reason): self
    {
        if (!$this->canCancel()) {
            throw new OrderCannotBeCancelledException($this->id);
        }

        $cancelled = new self(
            id: $this->id,
            userId: $this->userId,
            status: OrderStatus::CANCELLED,
            total: $this->total,
            createdAt: $this->createdAt
        );

        $cancelled->recordEvent(new OrderCancelledEvent(
            orderId: $cancelled->id,
            reason: $reason,
            cancelledAt: Timestamp::now()
        ));

        return $cancelled;
    }

    private function recordEvent(DomainEvent $event): void
    {
        $this->domainEvents[] = $event;
    }

    public function releaseEvents(): array
    {
        $events = $this->domainEvents;
        $this->domainEvents = [];
        return $events;
    }

    private function canConfirm(): bool
    {
        return $this->status->equals(OrderStatus::PENDING);
    }

    private function canCancel(): bool
    {
        return !$this->status->equals(OrderStatus::CANCELLED)
            && !$this->status->equals(OrderStatus::COMPLETED);
    }
}

Service Layer Dispatches Events:

final readonly class OrderService
{
    public function createOrder(CreateOrderCommand $command): Order
    {
        // Domain operation records events
        $order = Order::create($command);

        $this->entityManager->save($order);

        // Release and dispatch all recorded events
        foreach ($order->releaseEvents() as $event) {
            $this->eventBus->dispatch($event);
        }

        return $order;
    }

    public function confirmOrder(OrderId $orderId): Order
    {
        $order = $this->entityManager->find(Order::class, $orderId->value);

        if ($order === null) {
            throw new OrderNotFoundException($orderId);
        }

        $confirmed = $order->confirm();

        $this->entityManager->save($confirmed);

        foreach ($confirmed->releaseEvents() as $event) {
            $this->eventBus->dispatch($event);
        }

        return $confirmed;
    }
}

Event Store for Complete Audit Trail

namespace App\Framework\EventStore;

final readonly class DomainEventStore
{
    public function __construct(
        private readonly Connection $connection
    ) {}

    #[OnEvent(priority: 200)] // Highest priority - always store first
    public function storeEvent(DomainEvent $event): void
    {
        $this->connection->insert('domain_events', [
            'id' => Ulid::generate(),
            'aggregate_type' => $event->getAggregateType(),
            'aggregate_id' => $event->getAggregateId(),
            'event_type' => get_class($event),
            'event_data' => json_encode($event),
            'event_version' => $event->getVersion(),
            'occurred_at' => $event->occurredAt->format('Y-m-d H:i:s'),
            'user_id' => $this->getCurrentUserId(),
            'metadata' => json_encode($this->getMetadata())
        ]);
    }

    public function getEventsForAggregate(
        string $aggregateType,
        string $aggregateId
    ): array {
        return $this->connection->fetchAll(
            'SELECT * FROM domain_events
             WHERE aggregate_type = ? AND aggregate_id = ?
             ORDER BY occurred_at ASC',
            [$aggregateType, $aggregateId]
        );
    }

    public function replayEvents(string $aggregateType, string $aggregateId): object
    {
        $events = $this->getEventsForAggregate($aggregateType, $aggregateId);

        // Rebuild aggregate state from events
        $aggregate = null;

        foreach ($events as $eventData) {
            $event = $this->deserializeEvent($eventData);
            $aggregate = $this->applyEvent($aggregate, $event);
        }

        return $aggregate;
    }

    public function getEventStream(
        ?\DateTimeImmutable $since = null,
        ?int $limit = null
    ): array {
        $sql = 'SELECT * FROM domain_events WHERE 1=1';
        $params = [];

        if ($since !== null) {
            $sql .= ' AND occurred_at >= ?';
            $params[] = $since->format('Y-m-d H:i:s');
        }

        $sql .= ' ORDER BY occurred_at ASC';

        if ($limit !== null) {
            $sql .= ' LIMIT ?';
            $params[] = $limit;
        }

        return $this->connection->fetchAll($sql, $params);
    }

    private function deserializeEvent(array $eventData): DomainEvent
    {
        $eventClass = $eventData['event_type'];
        $eventPayload = json_decode($eventData['event_data'], true);

        return $eventClass::fromArray($eventPayload);
    }

    private function applyEvent(?object $aggregate, DomainEvent $event): object
    {
        if ($aggregate === null) {
            // First event - create aggregate
            return $this->createAggregateFromEvent($event);
        }

        // Apply event to existing aggregate
        return $aggregate->applyEvent($event);
    }

    private function getCurrentUserId(): ?string
    {
        // Get from authentication context
        return $_SESSION['user_id'] ?? null;
    }

    private function getMetadata(): array
    {
        return [
            'ip_address' => $_SERVER['REMOTE_ADDR'] ?? null,
            'user_agent' => $_SERVER['HTTP_USER_AGENT'] ?? null,
            'request_id' => $_SERVER['X_REQUEST_ID'] ?? null
        ];
    }
}

Database Schema

CREATE TABLE domain_events (
    id VARCHAR(26) PRIMARY KEY,
    aggregate_type VARCHAR(255) NOT NULL,
    aggregate_id VARCHAR(26) NOT NULL,
    event_type VARCHAR(255) NOT NULL,
    event_data JSON NOT NULL,
    event_version INT NOT NULL DEFAULT 1,
    occurred_at DATETIME NOT NULL,
    user_id VARCHAR(26) NULL,
    metadata JSON NULL,

    INDEX idx_aggregate (aggregate_type, aggregate_id, occurred_at),
    INDEX idx_event_type (event_type, occurred_at),
    INDEX idx_occurred (occurred_at)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

Benefits

  • 📜 Complete Audit Trail: Every domain change recorded
  • 🔄 Event Replay: Reconstruct aggregate state from events
  • 🐛 Time-Travel Debugging: Replay events to specific point in time
  • 📊 Business Intelligence: Event stream for analytics
  • 🔍 Compliance: Full audit trail for regulatory requirements
  • 🧪 Testing: Event-based assertions for behavior testing

Example: Event Replay for Debugging

// Reproduce bug from production
$eventStore = $container->get(DomainEventStore::class);

// Get all events for problematic order
$events = $eventStore->getEventsForAggregate('Order', 'order-123');

// Replay events to see state at each step
foreach ($events as $eventData) {
    $event = $eventStore->deserializeEvent($eventData);
    echo "Event: " . get_class($event) . "\n";
    echo "Occurred: " . $eventData['occurred_at'] . "\n";
    echo "Data: " . json_encode($event, JSON_PRETTY_PRINT) . "\n\n";
}

// Reconstruct final state
$order = $eventStore->replayEvents('Order', 'order-123');

3. API Gateway Pattern for External Integrations

Priority: High Complexity: Low-Medium Impact: Centralized Control, Better Monitoring Time Estimate: 2-3 days

Problem Statement

External API calls are currently scattered across the codebase with inconsistent error handling, retry logic, and monitoring.

// Current approach - direct API calls everywhere
final readonly class OrderService
{
    public function processOrder(Order $order): void
    {
        // Direct Stripe call
        $this->stripeClient->charge($order->total);

        // Direct SendGrid call
        $this->sendgridClient->sendEmail($order->user->email);

        // Direct Inventory API call
        $this->inventoryApi->reserve($order->items);
    }
}

Issues:

  • No centralized monitoring of external calls
  • Inconsistent retry strategies
  • No circuit breaker protection
  • Difficult to test (mocking multiple clients)
  • No unified error handling

Solution: Unified API Gateway

Gateway Interface:

namespace App\Framework\ApiGateway;

interface ApiGateway
{
    public function call(ApiRequest $request): ApiResponse;
    public function callAsync(ApiRequest $request): AsyncPromise;
}

API Request Value Object:

namespace App\Framework\ApiGateway\ValueObjects;

final readonly class ApiRequest
{
    public function __construct(
        public ApiEndpoint $endpoint,
        public HttpMethod $method,
        public array $payload = [],
        public array $headers = [],
        public ?Duration $timeout = null,
        public ?RetryStrategy $retryStrategy = null
    ) {}

    public static function payment(string $action, array $data): self
    {
        return new self(
            endpoint: ApiEndpoint::payment($action),
            method: HttpMethod::POST,
            payload: $data,
            timeout: Duration::fromSeconds(30),
            retryStrategy: new ExponentialBackoffStrategy(maxAttempts: 3)
        );
    }

    public static function email(string $action, array $data): self
    {
        return new self(
            endpoint: ApiEndpoint::email($action),
            method: HttpMethod::POST,
            payload: $data,
            timeout: Duration::fromSeconds(10),
            retryStrategy: new ExponentialBackoffStrategy(maxAttempts: 2)
        );
    }

    public static function inventory(string $action, array $data): self
    {
        return new self(
            endpoint: ApiEndpoint::inventory($action),
            method: HttpMethod::POST,
            payload: $data,
            timeout: Duration::fromSeconds(15),
            retryStrategy: new ExponentialBackoffStrategy(maxAttempts: 3)
        );
    }
}

API Endpoint Registry:

namespace App\Framework\ApiGateway\ValueObjects;

final readonly class ApiEndpoint
{
    private function __construct(
        public string $service,
        public string $action,
        public string $baseUrl,
        public string $path
    ) {}

    public static function payment(string $action): self
    {
        return new self(
            service: 'payment',
            action: $action,
            baseUrl: $_ENV['PAYMENT_API_URL'],
            path: "/api/v1/payments/{$action}"
        );
    }

    public static function email(string $action): self
    {
        return new self(
            service: 'email',
            action: $action,
            baseUrl: $_ENV['EMAIL_API_URL'],
            path: "/api/v1/emails/{$action}"
        );
    }

    public static function inventory(string $action): self
    {
        return new self(
            service: 'inventory',
            action: $action,
            baseUrl: $_ENV['INVENTORY_API_URL'],
            path: "/api/v1/inventory/{$action}"
        );
    }

    public function getUrl(): string
    {
        return $this->baseUrl . $this->path;
    }

    public function toString(): string
    {
        return "{$this->service}.{$this->action}";
    }
}

Gateway Implementation:

namespace App\Framework\ApiGateway;

final readonly class DefaultApiGateway implements ApiGateway
{
    public function __construct(
        private readonly HttpClient $httpClient,
        private readonly CircuitBreaker $circuitBreaker,
        private readonly ApiMetricsCollector $metrics,
        private readonly Logger $logger,
        private readonly Queue $queue
    ) {}

    public function call(ApiRequest $request): ApiResponse
    {
        $startTime = microtime(true);

        try {
            // Circuit Breaker Protection
            if ($this->circuitBreaker->isOpen($request->endpoint)) {
                throw new ServiceUnavailableException(
                    "Service {$request->endpoint->service} is currently unavailable"
                );
            }

            // Execute Request with Retry
            $response = $this->executeWithRetry($request);

            // Record Success
            $this->circuitBreaker->recordSuccess($request->endpoint);
            $this->recordMetrics($request, $response, $startTime);

            return $response;

        } catch (\Throwable $e) {
            // Record Failure
            $this->circuitBreaker->recordFailure($request->endpoint);

            $this->logger->error('[API Gateway] Request failed', [
                'endpoint' => $request->endpoint->toString(),
                'method' => $request->method->value,
                'error' => $e->getMessage(),
                'duration_ms' => (microtime(true) - $startTime) * 1000
            ]);

            throw new ApiGatewayException(
                "API call to {$request->endpoint->service} failed",
                previous: $e
            );
        }
    }

    public function callAsync(ApiRequest $request): AsyncPromise
    {
        // Queue for async processing
        $job = new ApiCallJob($request);
        $this->queue->push(JobPayload::immediate($job));

        return new AsyncPromise($job->getId());
    }

    private function executeWithRetry(ApiRequest $request): ApiResponse
    {
        $attempt = 0;
        $lastException = null;
        $maxAttempts = $request->retryStrategy?->getMaxAttempts() ?? 1;

        while ($attempt < $maxAttempts) {
            try {
                return $this->httpClient->request(
                    method: $request->method,
                    url: $request->endpoint->getUrl(),
                    body: $request->payload,
                    headers: array_merge(
                        $this->getDefaultHeaders(),
                        $request->headers
                    ),
                    timeout: $request->timeout
                );

            } catch (ApiException $e) {
                $lastException = $e;
                $attempt++;

                if ($attempt < $maxAttempts && $request->retryStrategy?->shouldRetry($attempt)) {
                    $delay = $request->retryStrategy->getDelay($attempt);

                    $this->logger->debug('[API Gateway] Retrying request', [
                        'endpoint' => $request->endpoint->toString(),
                        'attempt' => $attempt,
                        'delay_ms' => $delay->toMilliseconds()
                    ]);

                    usleep($delay->toMicroseconds());
                }
            }
        }

        throw $lastException;
    }

    private function recordMetrics(
        ApiRequest $request,
        ApiResponse $response,
        float $startTime
    ): void {
        $duration = (microtime(true) - $startTime) * 1000;

        $this->metrics->record([
            'endpoint' => $request->endpoint->toString(),
            'method' => $request->method->value,
            'status_code' => $response->statusCode,
            'duration_ms' => $duration,
            'timestamp' => time()
        ]);
    }

    private function getDefaultHeaders(): array
    {
        return [
            'User-Agent' => 'CustomPHPFramework/2.0',
            'X-Request-ID' => $this->generateRequestId(),
            'Accept' => 'application/json',
            'Content-Type' => 'application/json'
        ];
    }

    private function generateRequestId(): string
    {
        return Ulid::generate();
    }
}

Circuit Breaker Implementation:

namespace App\Framework\ApiGateway;

final class CircuitBreaker
{
    private const FAILURE_THRESHOLD = 5;
    private const TIMEOUT = 60; // seconds

    private array $failures = [];
    private array $openUntil = [];

    public function __construct(
        private readonly Logger $logger
    ) {}

    public function isOpen(ApiEndpoint $endpoint): bool
    {
        $key = $endpoint->toString();

        if (isset($this->openUntil[$key])) {
            if (time() < $this->openUntil[$key]) {
                return true; // Still open
            }

            // Timeout expired, close circuit
            unset($this->openUntil[$key]);
            $this->failures[$key] = 0;

            $this->logger->info('[Circuit Breaker] Circuit closed', [
                'endpoint' => $key
            ]);
        }

        return false;
    }

    public function recordFailure(ApiEndpoint $endpoint): void
    {
        $key = $endpoint->toString();
        $this->failures[$key] = ($this->failures[$key] ?? 0) + 1;

        if ($this->failures[$key] >= self::FAILURE_THRESHOLD) {
            $this->openUntil[$key] = time() + self::TIMEOUT;

            $this->logger->warning('[Circuit Breaker] Circuit opened', [
                'endpoint' => $key,
                'failures' => $this->failures[$key],
                'timeout_seconds' => self::TIMEOUT
            ]);
        }
    }

    public function recordSuccess(ApiEndpoint $endpoint): void
    {
        $key = $endpoint->toString();
        $this->failures[$key] = 0;
    }

    public function getStatus(): array
    {
        $status = [];

        foreach ($this->failures as $endpoint => $count) {
            $status[$endpoint] = [
                'failures' => $count,
                'is_open' => isset($this->openUntil[$endpoint]),
                'opens_until' => $this->openUntil[$endpoint] ?? null
            ];
        }

        return $status;
    }
}

Usage in Services:

// Refactored OrderService using API Gateway
final readonly class OrderService
{
    public function __construct(
        private readonly ApiGateway $apiGateway,
        private readonly EntityManager $entityManager
    ) {}

    public function processPayment(Order $order): PaymentResult
    {
        $request = ApiRequest::payment('charge', [
            'amount' => $order->total->toArray(),
            'customer_id' => $order->user->id->value,
            'idempotency_key' => $order->id->value
        ]);

        $response = $this->apiGateway->call($request);

        return PaymentResult::fromApiResponse($response);
    }

    public function sendOrderConfirmation(Order $order): void
    {
        $request = ApiRequest::email('send', [
            'to' => $order->user->email->value,
            'template' => 'order_confirmation',
            'data' => [
                'order_id' => $order->id->value,
                'total' => $order->total->toDecimal()
            ]
        ]);

        // Send async - no need to wait
        $this->apiGateway->callAsync($request);
    }

    public function reserveInventory(Order $order): void
    {
        $request = ApiRequest::inventory('reserve', [
            'order_id' => $order->id->value,
            'items' => array_map(
                fn($item) => $item->toArray(),
                $order->items
            )
        ]);

        $response = $this->apiGateway->call($request);

        if (!$response->isSuccess()) {
            throw new InventoryReservationFailedException($order->id);
        }
    }
}

Benefits

  • 🔒 Centralized Control: All external API calls through single gateway
  • 📊 Unified Monitoring: Track all API calls, latency, errors
  • 🔄 Consistent Retry Logic: Exponential backoff for all services
  • 🛡️ Circuit Breaker: Automatic protection against failing services
  • 🐛 Easy Debugging: All API calls logged with request IDs
  • 🧪 Testability: Mock single gateway instead of multiple clients
  • Async Support: Queue background API calls without blocking

Monitoring Dashboard

final readonly class ApiGatewayMonitoringController
{
    #[Route('/admin/api-gateway/stats', method: Method::GET)]
    public function getStats(): JsonResult
    {
        return new JsonResult([
            'circuit_breaker' => $this->circuitBreaker->getStatus(),
            'metrics' => $this->metrics->getSummary(),
            'recent_calls' => $this->metrics->getRecentCalls(limit: 100)
        ]);
    }
}

4. Hexagonal Architecture for Better Testability

Priority: Medium Complexity: Medium Impact: Fast Unit Tests, Infrastructure Independence Time Estimate: 1 week

Problem Statement

Infrastructure concerns (database, external APIs) are tightly coupled to domain logic, making unit tests slow and complex.

// Current approach - infrastructure in domain service
final readonly class UserService
{
    public function __construct(
        private readonly EntityManager $entityManager // Infrastructure dependency
    ) {}

    public function registerUser(RegisterCommand $command): User
    {
        $user = User::create($command);
        $this->entityManager->save($user); // Database call
        return $user;
    }
}

// Test requires database setup
it('registers user', function () {
    $entityManager = setupTestDatabase(); // Slow!
    $service = new UserService($entityManager);

    $user = $service->registerUser($command);

    expect($user)->not->toBeNull();
});

Issues:

  • Unit tests require database setup (slow: seconds instead of milliseconds)
  • Domain logic coupled to infrastructure implementation
  • Cannot easily switch infrastructure (e.g., API to Database)
  • Mocking EntityManager is complex and brittle

Solution: Ports & Adapters Pattern

Port (Domain Interface):

namespace App\Domain\User\Ports;

interface UserRepository
{
    public function findById(UserId $id): ?User;
    public function save(User $user): void;
    public function findByEmail(Email $email): ?User;
    public function findAll(): array;
    public function delete(User $user): void;
}

Domain Service Uses Only Port:

namespace App\Domain\User\Services;

final readonly class UserService
{
    public function __construct(
        private readonly UserRepository $users, // Port, not implementation
        private readonly EventBus $events
    ) {}

    public function registerUser(RegisterCommand $command): User
    {
        // Pure domain logic - no infrastructure
        if ($this->users->findByEmail($command->email) !== null) {
            throw new EmailAlreadyExistsException($command->email);
        }

        $user = User::create($command);
        $this->users->save($user);
        $this->events->dispatch(new UserRegisteredEvent($user));

        return $user;
    }

    public function updateUserProfile(UserId $id, UpdateProfileCommand $command): User
    {
        $user = $this->users->findById($id);

        if ($user === null) {
            throw new UserNotFoundException($id);
        }

        $updated = $user->updateProfile($command);
        $this->users->save($updated);
        $this->events->dispatch(new UserProfileUpdatedEvent($updated));

        return $updated;
    }
}

Adapter 1: Database Implementation (Production):

namespace App\Infrastructure\Persistence\User;

final readonly class DatabaseUserRepository implements UserRepository
{
    public function __construct(
        private readonly EntityManager $entityManager
    ) {}

    public function findById(UserId $id): ?User
    {
        return $this->entityManager->find(User::class, $id->value);
    }

    public function save(User $user): void
    {
        $this->entityManager->save($user);
    }

    public function findByEmail(Email $email): ?User
    {
        return $this->entityManager->findOneBy(User::class, [
            'email' => $email->value
        ]);
    }

    public function findAll(): array
    {
        return $this->entityManager->findAll(User::class);
    }

    public function delete(User $user): void
    {
        $this->entityManager->delete($user);
    }
}

Adapter 2: In-Memory Implementation (Tests):

namespace Tests\Infrastructure\User;

final class InMemoryUserRepository implements UserRepository
{
    private array $users = [];

    public function findById(UserId $id): ?User
    {
        return $this->users[$id->value] ?? null;
    }

    public function save(User $user): void
    {
        $this->users[$user->id->value] = $user;
    }

    public function findByEmail(Email $email): ?User
    {
        foreach ($this->users as $user) {
            if ($user->email->equals($email)) {
                return $user;
            }
        }
        return null;
    }

    public function findAll(): array
    {
        return array_values($this->users);
    }

    public function delete(User $user): void
    {
        unset($this->users[$user->id->value]);
    }

    // Test helper methods
    public function clear(): void
    {
        $this->users = [];
    }

    public function count(): int
    {
        return count($this->users);
    }
}

Adapter 3: API Client Implementation (Legacy System Migration):

namespace App\Infrastructure\External\User;

final readonly class ApiUserRepository implements UserRepository
{
    public function __construct(
        private readonly ApiGateway $gateway
    ) {}

    public function findById(UserId $id): ?User
    {
        $request = ApiRequest::get("/legacy/users/{$id->value}");

        try {
            $response = $this->gateway->call($request);
            return User::fromApiResponse($response);
        } catch (NotFoundException $e) {
            return null;
        }
    }

    public function save(User $user): void
    {
        $request = ApiRequest::post('/legacy/users', [
            'id' => $user->id->value,
            'email' => $user->email->value,
            'name' => $user->name->value
        ]);

        $this->gateway->call($request);
    }

    public function findByEmail(Email $email): ?User
    {
        $request = ApiRequest::get("/legacy/users?email={$email->value}");

        try {
            $response = $this->gateway->call($request);
            $users = User::collectionFromApiResponse($response);
            return $users[0] ?? null;
        } catch (NotFoundException $e) {
            return null;
        }
    }

    // ... weitere Methoden
}

Dependency Injection Configuration:

namespace App\Infrastructure\DI;

final readonly class UserRepositoryInitializer
{
    #[Initializer]
    public function initialize(Container $container): void
    {
        // Environment-based adapter selection
        $repository = match ($_ENV['USER_REPOSITORY_TYPE'] ?? 'database') {
            'database' => new DatabaseUserRepository(
                $container->get(EntityManager::class)
            ),
            'api' => new ApiUserRepository(
                $container->get(ApiGateway::class)
            ),
            'memory' => new InMemoryUserRepository(),
            default => throw new \RuntimeException('Unknown repository type')
        };

        $container->singleton(UserRepository::class, $repository);
    }
}

Fast Unit Tests:

// Unit test - NO database, NO Docker, milliseconds!
it('registers new user', function () {
    $repository = new InMemoryUserRepository();
    $events = new InMemoryEventBus();

    $service = new UserService($repository, $events);

    $command = new RegisterCommand(
        email: new Email('test@example.com'),
        name: new UserName('Test User'),
        password: new Password('secret123')
    );

    $user = $service->registerUser($command);

    expect($repository->findById($user->id))->toBe($user);
    expect($events->dispatchedEvents())->toHaveCount(1);
    expect($events->dispatchedEvents()[0])->toBeInstanceOf(UserRegisteredEvent::class);
});

it('throws exception when email already exists', function () {
    $repository = new InMemoryUserRepository();
    $events = new InMemoryEventBus();

    $service = new UserService($repository, $events);

    // Pre-existing user
    $existingUser = User::create(new RegisterCommand(
        email: new Email('test@example.com'),
        name: new UserName('Existing'),
        password: new Password('pass')
    ));
    $repository->save($existingUser);

    // Try to register with same email
    $command = new RegisterCommand(
        email: new Email('test@example.com'),
        name: new UserName('New User'),
        password: new Password('secret')
    );

    $service->registerUser($command);
})->throws(EmailAlreadyExistsException::class);

Performance Comparison:

Unit Test Performance:

With Database (EntityManager):
  Setup: 200-500ms (database connection, migrations)
  Execution: 50-100ms per test
  Total: 250-600ms per test

With In-Memory Adapter:
  Setup: 0ms (instant object creation)
  Execution: 1-5ms per test
  Total: 1-5ms per test

Performance Gain: 50-600x faster!

Benefits

  • 🧪 Fast Tests: Unit tests run in milliseconds (no database)
  • 🔄 Easy Mocking: Simple in-memory adapters for tests
  • 🔧 Flexible Infrastructure: Swap implementations without changing domain
  • 📦 Domain Isolation: Business logic completely independent from infrastructure
  • 🚀 TDD-Friendly: Write tests before infrastructure is ready
  • 🔌 Legacy Integration: Gradually migrate from old systems using API adapter

Additional Ports

Email Port:

namespace App\Domain\Notifications\Ports;

interface EmailSender
{
    public function send(Email $to, EmailTemplate $template, array $data): void;
}

// Adapters: SmtpEmailSender, SendGridEmailSender, InMemoryEmailSender (tests)

File Storage Port:

namespace App\Domain\Storage\Ports;

interface FileStorage
{
    public function store(string $path, string $contents): void;
    public function retrieve(string $path): string;
    public function delete(string $path): void;
    public function exists(string $path): bool;
}

// Adapters: LocalFileStorage, S3FileStorage, InMemoryFileStorage (tests)

Payment Gateway Port:

namespace App\Domain\Payment\Ports;

interface PaymentGateway
{
    public function charge(Money $amount, PaymentMethod $method): PaymentResult;
    public function refund(PaymentId $id, Money $amount): RefundResult;
}

// Adapters: StripePaymentGateway, PayPalPaymentGateway, FakePaymentGateway (tests)

5. Materialized Views for Analytics Performance

Priority: Medium Complexity: Low Impact: 50-100x Faster Analytics Queries Time Estimate: 2-3 days

Problem Statement

Complex analytics queries with multiple JOINs are slow and block database resources.

// Current approach - complex JOIN query (500-1000ms)
$stats = $this->connection->fetchOne("
    SELECT
        u.id,
        u.name,
        COUNT(DISTINCT o.id) AS total_orders,
        SUM(o.total_cents) AS lifetime_value,
        MAX(o.created_at) AS last_order_date,
        AVG(o.total_cents) AS avg_order_value,
        COUNT(DISTINCT p.id) AS total_payments
    FROM users u
    LEFT JOIN orders o ON o.user_id = u.id
    LEFT JOIN payments p ON p.order_id = o.id
    WHERE u.id = ?
    GROUP BY u.id, u.name
", [$userId]);

Issues:

  • Slow query execution (500-1000ms for complex aggregations)
  • Multiple JOINs across large tables
  • Blocks database for write operations
  • Not scalable for reporting dashboards

Solution: Materialized Views with Auto-Refresh

Create Materialized View:

-- User Dashboard Statistics (Denormalized Aggregates)
CREATE TABLE user_dashboard_stats (
    user_id VARCHAR(26) PRIMARY KEY,
    user_name VARCHAR(255),
    user_email VARCHAR(255),
    total_orders INT DEFAULT 0,
    lifetime_value_cents INT DEFAULT 0,
    last_order_date DATETIME NULL,
    avg_order_value_cents INT DEFAULT 0,
    total_payments INT DEFAULT 0,
    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,

    INDEX idx_lifetime_value (lifetime_value_cents DESC),
    INDEX idx_last_order (last_order_date DESC),
    INDEX idx_updated (updated_at)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- Initial population
INSERT INTO user_dashboard_stats
SELECT
    u.id AS user_id,
    u.name AS user_name,
    u.email AS user_email,
    COUNT(DISTINCT o.id) AS total_orders,
    COALESCE(SUM(o.total_cents), 0) AS lifetime_value_cents,
    MAX(o.created_at) AS last_order_date,
    COALESCE(AVG(o.total_cents), 0) AS avg_order_value_cents,
    COUNT(DISTINCT p.id) AS total_payments,
    NOW() AS updated_at
FROM users u
LEFT JOIN orders o ON o.user_id = u.id
LEFT JOIN payments p ON p.order_id = o.id
GROUP BY u.id, u.name, u.email;

Auto-Refresh via Events:

namespace App\Infrastructure\MaterializedViews;

final readonly class UserDashboardStatsRefresher
{
    public function __construct(
        private readonly Connection $connection,
        private readonly Queue $queue
    ) {}

    #[OnEvent(priority: 10)] // Low priority - async update
    public function onOrderCreated(OrderCreatedEvent $event): void
    {
        // Queue async refresh for affected user
        $job = new RefreshUserStatsJob($event->userId);
        $this->queue->push(JobPayload::background($job));
    }

    #[OnEvent(priority: 10)]
    public function onPaymentCompleted(PaymentCompletedEvent $event): void
    {
        $job = new RefreshUserStatsJob($event->order->userId);
        $this->queue->push(JobPayload::background($job));
    }

    #[OnEvent(priority: 10)]
    public function onOrderCancelled(OrderCancelledEvent $event): void
    {
        $job = new RefreshUserStatsJob($event->order->userId);
        $this->queue->push(JobPayload::background($job));
    }
}

final readonly class RefreshUserStatsJob
{
    public function __construct(
        private readonly UserId $userId
    ) {}

    public function handle(Connection $connection): void
    {
        // Incremental update for single user
        $connection->execute("
            INSERT INTO user_dashboard_stats
            SELECT
                u.id AS user_id,
                u.name AS user_name,
                u.email AS user_email,
                COUNT(DISTINCT o.id) AS total_orders,
                COALESCE(SUM(o.total_cents), 0) AS lifetime_value_cents,
                MAX(o.created_at) AS last_order_date,
                COALESCE(AVG(o.total_cents), 0) AS avg_order_value_cents,
                COUNT(DISTINCT p.id) AS total_payments,
                NOW() AS updated_at
            FROM users u
            LEFT JOIN orders o ON o.user_id = u.id
            LEFT JOIN payments p ON p.order_id = o.id
            WHERE u.id = ?
            GROUP BY u.id, u.name, u.email
            ON DUPLICATE KEY UPDATE
                total_orders = VALUES(total_orders),
                lifetime_value_cents = VALUES(lifetime_value_cents),
                last_order_date = VALUES(last_order_date),
                avg_order_value_cents = VALUES(avg_order_value_cents),
                total_payments = VALUES(total_payments),
                updated_at = NOW()
        ", [$this->userId->value]);
    }
}

Fast Query After Materialization:

// ✅ After: Simple SELECT from materialized view (5-10ms)
$stats = $this->connection->fetchOne("
    SELECT
        user_id,
        user_name,
        total_orders,
        lifetime_value_cents,
        last_order_date,
        avg_order_value_cents,
        total_payments
    FROM user_dashboard_stats
    WHERE user_id = ?
", [$userId]);

Performance Comparison:

Query Performance:

Before (Complex JOIN):
  Execution Time: 500-1000ms
  CPU Usage: High
  Blocks: Write operations

After (Materialized View):
  Execution Time: 5-10ms
  CPU Usage: Minimal
  Blocks: None

Performance Gain: 50-100x faster!

Additional Materialized Views

Product Sales Statistics:

CREATE TABLE product_sales_stats (
    product_id VARCHAR(26) PRIMARY KEY,
    product_name VARCHAR(255),
    total_sales_count INT DEFAULT 0,
    total_revenue_cents INT DEFAULT 0,
    avg_sale_price_cents INT DEFAULT 0,
    last_sale_date DATETIME NULL,
    top_customer_id VARCHAR(26) NULL,
    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,

    INDEX idx_revenue (total_revenue_cents DESC),
    INDEX idx_sales (total_sales_count DESC)
);

Monthly Revenue Report:

CREATE TABLE monthly_revenue_stats (
    year_month VARCHAR(7) PRIMARY KEY, -- Format: 2025-01
    total_orders INT DEFAULT 0,
    total_revenue_cents INT DEFAULT 0,
    avg_order_value_cents INT DEFAULT 0,
    new_customers INT DEFAULT 0,
    returning_customers INT DEFAULT 0,
    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,

    INDEX idx_year_month (year_month DESC)
);

Benefits

  • 50-100x Faster: Pre-computed aggregates eliminate runtime cost
  • 📊 Complex Analytics: Multi-table aggregations without performance penalty
  • 🔄 Eventually Consistent: Async refresh acceptable for dashboards/reports
  • 💾 Reduced Database Load: No complex JOINs during peak traffic
  • 📈 Scalable Reporting: Add more materialized views without impacting writes

When to Use Materialized Views

Good Candidates:

  • Dashboard statistics
  • Analytics reports
  • Aggregation queries (SUM, AVG, COUNT)
  • Historical data analysis
  • Read-heavy workloads with eventual consistency acceptable

Avoid for:

  • Real-time data requirements (use CQRS instead)
  • Frequently changing data
  • Simple queries without aggregations
  • Small tables (< 1000 rows)

🏗️ Implementation Roadmap

Phase 1: Quick Wins (1-2 weeks)

Week 1:

  1. API Gateway (2-3 days)

    • Implement ApiRequest/ApiResponse value objects
    • Create DefaultApiGateway with CircuitBreaker
    • Refactor 2-3 services to use gateway
    • Add monitoring dashboard
  2. Domain Event Store (1-2 days)

    • Create domain_events table
    • Implement DomainEventStore
    • Add event recording to 2-3 aggregates

Week 2: 3. Materialized Views (2-3 days)

  • Create user_dashboard_stats view
  • Implement auto-refresh jobs
  • Refactor dashboard queries
  1. Documentation (1 day)
    • Update architecture docs
    • Add code examples
    • Team training session

Phase 2: Medium-Term (2-3 weeks)

Week 3-4: 5. Hexagonal Architecture (1 week)

  • Define Port interfaces for repositories
  • Create In-Memory adapters
  • Refactor unit tests for speed
  1. More Materialized Views (3-4 days)
    • Product sales statistics
    • Monthly revenue reports
    • Order analytics

Phase 3: Long-Term (4-6 weeks)

Week 5-8: 7. CQRS Implementation (2-3 weeks)

  • Create read model tables
  • Implement projectors
  • Migrate performance-critical queries
  • A/B test performance improvements
  1. Complete Port Coverage (1 week)
    • Email, Storage, Payment ports
    • Additional adapters
    • Full test coverage

📊 Success Metrics

Performance Targets

API Gateway:

  • All external API calls centralized: 100%
  • Circuit breaker downtime prevention: > 99%
  • Average API call latency reduction: < 10%

CQRS:

  • Read query performance improvement: 3-5x
  • Database CPU usage reduction: 30-50%
  • Write operation latency: No regression

Materialized Views:

  • Dashboard query performance: 50-100x faster
  • Analytics query execution time: < 100ms
  • Database load reduction: 40-60%

Hexagonal Architecture:

  • Unit test execution time: < 10ms per test
  • Test suite total time: < 10 seconds
  • Test coverage: > 80%

Quality Metrics

  • Code maintainability increase: Subjective but measurable via team surveys
  • Onboarding time for new developers: 30% reduction
  • Bug fix time: 25% reduction (better testability)
  • Production incidents: 40% reduction (circuit breaker + event store)

🔍 Monitoring & Validation

API Gateway Monitoring

// Metrics to track
- Total API calls per endpoint
- Average latency per endpoint
- Error rate per endpoint
- Circuit breaker open/close events
- Retry attempts per call

CQRS Validation

// Compare performance before/after
$before = microtime(true);
$oldResult = $this->entityManager->complexQuery();
$oldTime = microtime(true) - $before;

$before = microtime(true);
$newResult = $this->userQuery->findById($id);
$newTime = microtime(true) - $before;

assert($oldTime / $newTime >= 3); // At least 3x faster

Materialized View Freshness

// Monitor staleness
SELECT
    user_id,
    TIMESTAMPDIFF(SECOND, updated_at, NOW()) AS staleness_seconds
FROM user_dashboard_stats
WHERE TIMESTAMPDIFF(SECOND, updated_at, NOW()) > 300
ORDER BY staleness_seconds DESC
LIMIT 10;

💡 Next Steps

  1. Review this document with the team
  2. Prioritize improvements based on current pain points
  3. Create Jira tickets for Phase 1 tasks
  4. Setup monitoring for baseline metrics
  5. Start with API Gateway (quick win, high impact)

📚 References


Last Updated: 2025-01-28 Document Version: 1.0 Status: Ready for Implementation