How to implement Machine-Machine communication ?

Question

what is industry standard to implement Machine-Machine communication without usercontext?

Muhammad Imran Ansari · Answer

Implementing Machine-to-Machine (M2M) communication involves enabling systems, devices, or applications to securely exchange data without human intervention. This is essential in scenarios like IoT, backend services, microservices, and automation tools. Here are the some industry standards for Machine-to-Machine (M2M) communication: OAuth 2.0 – Client Credentials Grant Flow Mutual TLS (mTLS) Authentication JWT (JSON Web Token) for Stateless Auth X.509 Certificates for Device Identity MQTT with TLS for IoT Communication AMQP for Reliable Messaging gRPC with TLS for High-Performance APIs Use of API Gateways for Policy Enforcement Zero Trust Architecture Principles Role-Based Access Control (RBAC) Managed Identities (e.g., Azure, AWS IAM Roles) Secret Management via Vaults (e.g., Azure Key Vault, HashiCorp Vault) Good Luck!

Saurabh Prajapati · Answer

You can use this: OAuth 2.0 (Client Credentials Grant) – Token-based authentication for secure M2M communication. Mutual TLS (mTLS) – Uses certificates for two-way encrypted authentication between machines. MQTT – Lightweight publish-subscribe protocol ideal for IoT and M2M messaging. AMQP – Advanced message queuing protocol for reliable message delivery between systems. Apache Kafka – Distributed streaming platform for high-throughput real-time data exchange. gRPC – High-performance RPC framework using HTTP/2 and Protobuf for efficient communication. WebSockets – Full-duplex communication channel over a single TCP connection. Protobuf – Compact binary serialization format often used with gRPC for structured data. REST APIs – Widely used HTTP-based interfaces for stateless communication. Message Queues (e.g., RabbitMQ) – Middleware that enables asynchronous message passing between systems.

How to implement Machine-Machine communication ?

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