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What is Socket.IO?

0 MIN READ • Developer Relations Team on Sep 20, 2023
Socket.IO vs. WebSockets: Comparing Real-Time Frameworks

What is Socket.IO?

Socket.IO is an open-source, cross-platform library that provides full-duplex bidirectional communication between a client and a server based on events. It is built on the WebSocket protocol, providing additional capabilities such as automatic reconnection and fallback to HTTP long polling where WebSockets cannot be used. 

The Socket.IO client consists of both a client-side and server-side library. Though initially supporting NodeJS on the server and JavaScript on the client, it now supports a variety of server and client technologies, including Java, Python, Swift, and Kotlin, both as part of the official code base and contributed by an active community.

What is Socket.io used for?

Socket.IO allows you to implement various applications that depend on message exchange, for example, instant messaging, multi-user collaboration, real-time analytics, file-sharing, and notifications.

Is Socket.io good for real-time apps?

Yes, Socket.IO is a good choice for building real-time web applications as it offers many features out of the box that will be useful for developers, including:

  • Room and namespace support allows you to group clients into rooms who can all receive broadcast or multicast messages.
  • Automatic reconnection means you don’t have to worry about clients when they go online or offline.
  • Binary data support, allowing you to exchange more than just chat messages, including images or other media.

Is Socket.io an API?

Socket.IO is often described as not an API in the traditional sense, but it's oversimplification. While Socket.IO does expose an API for client and server components, it is better categorized as a framework or library rather than a simple API. It abstracts the complexities of WebSockets and other transport protocols, allowing developers to focus on building real-time, bidirectional communication without worrying about network conditions or transport compatibility.

The client-side API connects to the server and handles event sending and receiving, while the server-side API manages connections, emits events, and handles rooms and namespaces. Socket.IO automatically handles transport negotiation (WebSockets, HTTP long-polling, etc.) and features like reconnection, broadcasting, and multiplexing.

Unlike traditional APIs that offer direct protocol access, Socket.IO provides a higher-level abstraction for real-time communication. It offers a comprehensive set of tools for handling connections, message routing, and error recovery, making it a powerful library for building real-time applications.

Is Socket.io TCP or UDP, and what’s the difference?

Socket.IO can use TCP and UDP as the underlying transport protocol, but it primarily uses TCP.

TCP (Transmission Control Protocol) is a reliable, connection-oriented protocol that ensures data is delivered in order and without errors.

On the other hand, UDP (User Datagram Protocol) is a connectionless, unreliable protocol that sends data without checking if it was received successfully.

UDP is more lightweight than TCP since only the latter establishes a connection between client and server, but it can only be used by applications resilient against missed messages.

Socket.io vs. Web Sockets

While WebSockets provide a persistent, full-duplex communication channel between client and server, Socket.IO extends this model with additional reliability, scalability, and abstraction features. Understanding their differences at a systems level is key when architecting real-time applications.

Connection Management

  • WebSockets: A raw, bidirectional protocol operating over a single TCP connection. Efficient but requires manual handling of reconnection, backoff strategies, and network failure scenarios.
  • Socket.IO: Manages connections more resiliently with automatic reconnection, exponential backoff, and a heartbeat mechanism to detect dead connections. It also supports fallback to HTTP long-polling when WebSockets are unavailable, ensuring broader compatibility.

Data Transmission & Reliability

  • WebSockets: Transmits binary or text data with minimal framing overhead. While fast and efficient, it lacks built-in message acknowledgment and delivery guarantees.
  • Socket.IO: Adds structured messaging with automatic acknowledgments, buffering of undelivered messages, and event-driven communication. These features help maintain message integrity in unreliable networks.

Integration & Ecosystem

  • WebSockets: Natively supported in most modern browsers and backend frameworks but requires additional work for authentication, scaling across multiple instances, and handling different transport layers.
  • Socket.IO: Provides a more developer-friendly API with namespace segmentation, rooms for logical grouping of clients, and built-in middleware for authentication and request validation. It integrates easily with existing Node.js ecosystems and scales better with adapters like Redis for multi-node deployments.

Production Considerations

  • For raw performance and fine-grained control, WebSockets are preferable when optimizing for high-throughput applications like financial trading or real-time gaming. However, additional engineering is required to handle reconnections, backpressure, and network inconsistencies.
  • For scalable, resilient real-time applications, Socket.IO provides out-of-the-box solutions for connection management, message reliability, and ease of integration with existing frameworks. It is better suited for chat applications, collaborative tools, and environments with fluctuating network conditions.

Socket.io Examples: Client/Server

A Hello World client/server implementation of Socket.IO in JavaScript would be written as follows, taken from the 4.x Socket.IO documentation:

Socket.io Server Example:

Socket.io Client Example:

How does Socket.IO work?

The library supports two transportation methods for real-time communication: HTTP long-polling and WebSockets. Initially, an HTTP long-poll connection is established because it’s more reliable in restrictive network environments, such as those with corporate proxies or firewalls that block WebSocket traffic. Once the long-poll connection is established, the library attempts to upgrade it to a WebSocket connection, if possible. WebSockets offer better performance due to lower latency, but they are not always supported due to network restrictions.

While Socket.IO does attempt to use WebSockets when possible and falls back to HTTP long-polling, the ‘upgraded’ process is more complex than simply switching between methods. It involves multiple round trips, including a WebSocket handshake, which requires negotiation between the client and server. This can introduce small delays and is not always seamless, especially in environments where proxies or firewalls block WebSocket connections.

In production environments, it's important to ensure robust error handling, monitoring transport success rates, and gracefully falling back to long-polling when WebSockets cannot be established. Thorough testing in real-world network conditions is critical to maintaining reliable, low-latency communication and ensuring a smooth user experience.

What is Socket.IO's architecture?

Socket.IO consists of two distinct layers, present on both the client and server:

  • The low-level plumbing is provided by a separate library called Engine.IO
  • The high-level API which is provided by Socket.IO

As a developer or user, you would not typically interface directly with Engine.IO but this is running behind the scenes to establish the connection, negotiate a transport mechanism and detect any disconnects. When comparing Engine.IO with WebSockets the two are functionally very similar, only Engine.IO provides an abstraction layer allowing you to migrate from a HTTP long-polling connection without (crucially) losing any messages. 

The high-level Socket.IO API adds some noteworthy features on top of the basic connectivity provided by Engine.IO:

  • Buffered events allow you to send events when not connected that will be delivered when the client reconnects. This can lead to spikes in traffic if the client takes a long time to reconnect so you need to code your client accordingly.
  • Acknowledgments allow you to specify a callback which will be invoked when the other side acknowledges the message has been received.
  • Broadcasting and multicasting in Socket.IO are managed through Rooms and Namespaces, allowing the server to send messages to multiple clients. A Room is a group within which clients can receive broadcast messages. Clients can join or leave rooms dynamically, but they cannot broadcast to others directly; the server handles message distribution. A Namespace is like a separate communication channel within the server, used to isolate different contexts, such as a chat namespace or a game namespace. Think of Namespaces as different event halls at a conference (e.g., one for tech, another for business). Clients can join a hall based on their interests. Within each hall, there are Rooms, like smaller sessions (e.g., a keynote or panel). Clients can join a session (room) and receive messages from that room. This setup allows fine-grained control over message delivery while keeping clients isolated from unrelated traffic.

What are the challenges when delivering a Socket.IO solution?

As with any solution that involves listening for and sending messages the biggest challenge is how to scale beyond a few thousand users.

Socket.IO is a library, it is NOT an infrastructure. As a solution architect or developer, you are responsible for deciding how your solution will reliably scale which is going to involve using multiple server nodes and load-balancing client connections between them. Load balancing comes with its own set of challenges but since Socket.io has been around for over a decade the community has come up with a robust set of best practices, for example, the concept of Adapters allows you to send a broadcast message between clients connected to different servers using a Pub/Sub mechanism.

Still, even though solutions do exist to scale Socket.IO, a lot of consideration is required by your development team and it is very difficult to consider every edge case. 

Suggested architecture for broadcasting messages across server instances with Socket.IO:

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