Saving states, retries, deduplication

In modern API integrations, it is important not only to send or receive data, but to ensure that all events are processed once, correctly and reliably. We implement an architecture with preserving intermediate states, retries mechanisms and message deduplication to eliminate losses and duplicates in working with external services and queues.

This is especially important when working with transactions, payment gateways, webhook events and background tasks, where singularity and completeness are critical.

What is implemented

How does it work

1. An incoming request or event receives a unique identifier

2. The entry is added to the processing log (DB, Redis or Kafka)

3. In case of error, the task is queued for retry (with limit and control)

4. If the same event is received again, the system checks its ID and rejects the duplicate

5. All event history and processing status available for audit

API and Platform Benefits

• Reliable delivery even in case of temporary problems
• Minimizing load on external APIs and databases
• Accurate logging, auditing, and recovery
• Scalability and flexibility for different scenarios (payments, bonuses, events)

Where especially important

• Game events: bets, winnings, calculations
• Integrations with webhooks and slow APIs
• Heavy load architectures with background tasks

States, retries, and deduplication are what make API integrations sustainable. We design logic so that even in conditions of failures and unstable connections, your data is safe, and processes are complete and without duplicates.