Building an omnichannel messaging platform goes far beyond simply sending and receiving messages.
Building an omnichannel messaging platform goes far beyond simply sending and receiving messages.
When a company centralizes channels such as WhatsApp, Facebook Messenger, Instagram, WebChat, Telegram, proprietary APIs, and messaging brokers into a single solution, significant challenges arise related to scalability, availability, security, and data consistency.
A well-planned architecture is essential to guarantee a good experience for the end user.
Furthermore, it must be able to withstand adverse scenarios such as:
A messaging platform needs to be resilient, scalable, and observable in order to keep operating even when part of the infrastructure is failing.
A modern omnichannel messaging architecture typically has several specialized layers.
Conectores Externos
↓
Webhook
↓
Backend
↓
Fila
↓
Consumer
↓
Processor
↓
Workflow Engine
↓
Banco de Dados
Backend
↓
WebSocket
↓
Frontend
Each layer has specific responsibilities and its own challenges.
Webhooks represent the platform's entry point.
It is through them that messages coming from the various connected channels arrive.
An omnichannel platform can receive events from:
Each integration has different formats and behaviors.
The platform must normalize this information into a single internal model.
Most providers work with aggressive timeouts.
Example:
Webhook → Timeout de 5 segundos
If the full processing happens before responding, there is a risk of:
That's why the webhook must:
Every incoming request must have its origin validated.
Examples:
This prevents malicious agents from sending fake messages to the platform.
Avoid generic responses such as:
500 Internal Server Error
Whenever possible:
400 Bad Request
for an invalid payload.
401 Unauthorized
for an invalid signature.
403 Forbidden
for unauthorized access.
This makes monitoring and troubleshooting easier.
The backend is responsible for exposing the APIs used by the frontend and coordinating the platform's operations.
Even during high message volumes, the backend must remain available for:
A congested queue must not make the administrative system unavailable.
All communication must use:
Ensuring that each user only accesses authorized data.
In case of error, the backend must provide clear information.
Example:
{
"error": "validation_error",
"field": "phone",
"message": "Número inválido"
}
Allowing the frontend to properly guide the user.
The frontend is the point of contact between the platform and its operators.
The system must be fast and responsive.
Even companies with thousands of simultaneous conversations need to maintain a smooth experience.
In unexpected situations, the system must clearly inform:
Example:
Falha ao enviar mensagem.
Clique para tentar novamente.
The operator needs to know:
As well as the exact time of each event.
The user should not have to rely on:
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All updates must happen automatically through WebSockets.
WebSockets are responsible for real-time communication.
The system must support:
Without harming the operator's experience.
Not every user should receive every event.
Example:
Mensagem Empresa A
Must not reach:
Usuário Empresa B
Correct routing is essential.
Every event must validate:
Before being distributed.
The consumer processes messages received from the queues.
When consuming a message it must be possible to determine:
Ensuring traceability.
A WhatsApp message from one company can never be processed in the context of another company.
Isolation between tenants is mandatory.
Problematic messages must not block the main queue.
Recommended flow:
Fila Principal
↓
Falha
↓
Dead Letter Queue
If an external provider is unavailable:
Facebook indisponível
it must not impact:
WhatsApp
Instagram
WebChat
The number of messages processed simultaneously must respect the available resources.
Example:
CPU disponível
Memória disponível
Número de workers
Enabling horizontal scalability.
The processor is responsible for sending messages to external channels.
Each channel has its own requirements.
Example:
WhatsApp:
{
"to": "...",
"type": "text"
}
Facebook:
{
"recipient": "...",
"message": {}
}
The processor needs to transform the internal model into the format expected by each provider.
Each company can have:
Different for each integration.
Just like the consumer, the processor must:
According to message volume.
The workflow layer is responsible for the platform's automations.
Examples:
The user expects near-instant responses.
Slow flows harm the service experience.
A common mistake is performing multiple database queries at every step of the flow.
This causes:
Whenever possible, one should use:
It is essential to log:
Enabling auditing and diagnostics.
When running external integrations:
ERP
CRM
Gateway de Pagamento
API de Consulta
the workflow must not block the entire queue while waiting for a response.
An approach based on Promises and asynchronous processing reduces bottlenecks.
Just like consumers and processors, workflows must allow:
According to demand.