gRPC Over HTTP/2 for Efficient Communication

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gRPC is a high-performance RPC framework that uses HTTP/2 as its underlying transport protocol. This allows for efficient communication between services.

One of the key benefits of gRPC over HTTP/2 is its ability to multiplex multiple requests over a single connection, reducing overhead and improving performance.

By using header compression and binary data encoding, gRPC can reduce the amount of data sent over the wire, making it even more efficient.

This efficient communication is especially important in microservices architecture, where services need to communicate with each other quickly and reliably.

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gRPC Basics

gRPC is a high-performance RPC framework that allows for bidirectional streaming and is designed to be used in modern cloud-based systems.

It's particularly well-suited for microservices architecture, where a large number of services need to communicate with each other efficiently.

gRPC uses Protocol Buffers as its interface definition language and message format, which allows for efficient and compact data serialization.

This results in lower latency and better performance compared to traditional RPC frameworks like REST.

Stream Identification

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In gRPC, each call needs to specify an internal ID, which is actually the HTTP2 stream-id. These ids are contextual to an open HTTP2 session.

They won't be unique within a given process handling more than one HTTP2 session. This means you can't rely on them as GUIDs.

You need to keep this in mind when designing your gRPC system, especially if you're working with multiple sessions or processes.

Idempotency and Retries

Idempotency and retries are important concepts to grasp when working with gRPC. gRPC Calls are not assumed to be idempotent, which means they may not be retried if they fail.

This is because there is no mechanism for duplicate suppression as it is not necessary. In other words, gRPC doesn't automatically prevent duplicate calls from being sent.

Calls that are marked as idempotent may be sent multiple times, which can be both a blessing and a curse. This is because idempotent calls can be safely retried without fear of causing unintended side effects.

Solution

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Enabling HTTP2 with TLS on Envoy config is surprisingly a straightforward solution.

It's necessary to connect from client to Envoy via HTTP2, not HTTP1.1, to facilitate gRPC-Web conversion.

By enabling HTTP2 with TLS on Envoy config, you can make gRPC-Web possible.

This requires certificates, which are a necessary part of the TLS setup.

The converter that makes gRPC-Web possible is called envoy.grpc_web, located in the http_filters portion of the Envoy config.

This is a crucial part of the configuration for gRPC-Web to work.

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Asynchronous Calls

Asynchronous calls are a crucial aspect of gRPC programming. In gRPC, all method types generate asynchronous APIs on gRPC clients, except for unary methods which generate both async and blocking methods.

Prefer using asynchronous programming with async and await when calling gRPC methods, as making gRPC calls with blocking can lead to thread pool starvation, poor performance, and the app to hang with a deadlock. This is because blocking gRPC calls prevent other tasks from using a thread.

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The GreeterClient type, for example, has two .NET methods for calling SayHello: GreeterClient.SayHelloAsync, which calls the Greeter.SayHello service asynchronously and can be awaited, and GreeterClient.SayHello, which calls the Greeter.SayHello service and blocks until complete. The blocking GreeterClient.SayHello method should not be used in asynchronous code.

Here are some key differences between asynchronous and blocking gRPC calls:

In summary, using asynchronous programming with async and await is the preferred approach when calling gRPC methods, as it improves performance and prevents thread pool starvation.

gRPC Over HTTP/2

To enable gRPC over HTTP/2, you need to configure your load balancer to support HTTP/2. This can be done by setting the `proto` parameter to `h2` in the frontend section of your HAProxy configuration. For example, you can add the following line to your configuration: `proto h2`.

You can also configure your backend servers to use HTTP/2 by setting the `mode` parameter to `http` and the `proto` parameter to `h2`. This will allow your servers to communicate with the load balancer using HTTP/2.

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In addition to configuring your load balancer and servers, you should also consider the performance implications of using large binary payloads in gRPC messages. As a general rule, it's best to avoid large binary payloads, as they can allocate large amounts of memory on the server. If you do need to send large binary payloads, consider using gRPC streaming to break them up into smaller chunks.

Here are some general guidelines for working with large binary payloads in gRPC:

  • Avoid large binary payloads (over 85,000 bytes) to prevent large memory allocations.
  • Consider using gRPC streaming to break up large binary payloads into smaller chunks.
  • Consider using a different protocol, such as HTTP, for large binary data.

Here's a summary of the key points to keep in mind when working with gRPC over HTTP/2:

Request and Response

Requests and responses in gRPC over HTTP/2 are a bit more complex than traditional HTTP, but don't worry, it's still pretty straightforward. The path in a request is case-sensitive, so make sure to get it right.

Implementations may allow overriding the path format, but this is strongly discouraged. gRPC won't actively break users who do this, but some functionality might not work as expected.

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If a timeout is omitted, a server should assume an infinite timeout. Client implementations can send a default minimum timeout based on their deployment requirements.

If the Content-Type header doesn't start with "application/grpc", a gRPC server should respond with an HTTP status of 415 (Unsupported Media Type). This prevents other HTTP/2 clients from interpreting a gRPC error response as successful.

Custom-Metadata is an arbitrary set of key-value pairs defined by the application layer. Header names starting with "grpc-" but not listed here are reserved for future GRPC use and should not be used by applications as Custom-Metadata.

Here's a breakdown of the format for requests:

  • Length-Prefixed-Message → Compressed-Flag Message-Length Message
  • Compressed-Flag → 0 / 1 ; encoded as 1 byte unsigned integer
  • Message-Length → {length of Message} ; encoded as 4 byte unsigned integer (big endian)
  • Message → *{binary octet}

A Compressed-Flag value of 1 indicates that the binary octet sequence of Message is compressed using the mechanism declared by the Message-Encoding header.

For responses, end-of-stream is indicated by the presence of the END_STREAM flag on the last received HEADERS frame that carries Trailers. Clients may limit the size of Response-Headers, Trailers, and Trailers-Only, with a default of 8 KiB each suggested.

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Status must be sent in Trailers even if the status code is OK. The value portion of Status is a decimal-encoded integer as an ASCII string, without any leading zeros.

The value portion of Status-Message is conceptually a Unicode string description of the error, physically encoded as UTF-8 followed by percent-encoding. Percent-encoding is specified in RFC 3986 §2.1, although the form used here has different restricted characters.

If Status-Details is set, it contains additional information about the RPC error. If it contains a status code field, it MUST NOT contradict the Status header. The consumer MUST verify this requirement.

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Example

GRPC over HTTP/2 is a game-changer for real-time applications.

The ability to multiplex multiple gRPC streams over a single HTTP/2 connection is a key advantage, allowing for more efficient use of resources.

This is particularly useful for applications that require low latency and high throughput, such as gaming and live streaming.

HTTP/2's header compression and multiplexing capabilities make it an ideal choice for gRPC.

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By leveraging HTTP/2, gRPC can achieve better performance and scalability.

gRPC's use of HTTP/2's binary framing allows for more efficient data transfer.

This means that gRPC can send and receive data in a more compact and efficient manner.

The combination of gRPC and HTTP/2 enables the creation of high-performance, real-time applications.

Error Handling

Error handling is a crucial aspect of gRPC over HTTP/2. If an application or runtime error occurs during an RPC, a Status and Status-Message are delivered in Trailers.

The framing of the message stream can become corrupt, causing the RPC runtime to use an RST_STREAM frame to indicate this state to its peer. This should be interpreted as an immediate full-closure of the stream and an error should be propagated up to the calling application layer.

In cases where the framing of the message stream is corrupt, the RPC runtime will use an RST_STREAM frame to indicate this state. This is a serious issue that requires immediate attention.

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There are specific error codes that can be mapped from RST_STREAM to GRPC error codes. Here's a breakdown of the mapping:

The REFUSED_STREAM error code indicates that the request can be retried, possibly elsewhere. This is a useful feature that allows clients to recover from errors and try again.

Security

HTTP/2 security is a must-have. The HTTP2 specification mandates the use of TLS 1.2 or higher when TLS is used with HTTP2.

This means you need to use a secure protocol to ensure your data is protected. This is a non-negotiable requirement for using HTTP/2 with TLS.

Using lower versions of TLS can lead to known problems, so it's essential to stick with the recommended version. This is a straightforward requirement that's easy to implement.

HTTP/2 also requires SNI support, which is a feature that allows multiple virtual hosts to share the same IP address. This is a common setup in many web servers.

Proprietary transport security mechanisms may also be used with HTTP/2, but the specification can't provide recommendations for these mechanisms. This means you'll need to research and implement these mechanisms on your own.

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Connection Management

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Connection Management is a crucial aspect of gRPC over HTTP/2. Servers should send a GOAWAY frame before terminating a connection to inform clients which work has been accepted by the server and is being executed.

This ensures that clients can continue working with already accepted streams until they complete or the connection is terminated. Clients should consider any stream initiated after the last successfully accepted stream as UNAVAILABLE and retry the call elsewhere.

A detectable connection failure on the client will close all calls with an UNAVAILABLE status, while a server-initiated PING that doesn't receive a response within the deadline will close all outstanding calls on the server with a CANCELLED status.

To maintain a connection, clients can send a PING frame that the peer must respond to by precisely echoing what they received. This is used to assert that the connection is still live as well as providing a means to estimate end-to-end latency.

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Here are some key points to keep in mind when it comes to connection management:

  • Servers should send a GOAWAY frame before terminating a connection.
  • Clients should consider any stream initiated after the last successfully accepted stream as UNAVAILABLE.
  • Detachable connection failures on the client will close all calls with an UNAVAILABLE status.
  • Server-initiated PINGs that don't receive a response within the deadline will close all outstanding calls on the server with a CANCELLED status.

gRPC and HTTP

To serve gRPC traffic, your app must use HTTP/2 for all network hops. This is because gRPC relies on HTTP/2 to function properly.

Your app must be configured to send HTTP/2 traffic to the route. This ensures that all traffic, regardless of its original ingress protocol, is sent to the app over HTTP/2.

External HTTP/1.1 requests are forwarded to your app over HTTP/2, which means your app doesn't have the opportunity to negotiate what protocol it receives. This is because the route is configured to forward all traffic to the app over HTTP/2.

If a client is familiar with the HTTP/2 specification, your app receives HTTP/2 with prior knowledge. This is a special case where the client and app have a prior understanding of the HTTP/2 protocol.

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gRPC Applications

You can find a variety of sample gRPC applications from the community that you can experiment with.

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The ASP.NET Core HTTP/2 App is one such example that you can use to explore gRPC over HTTP/2.

Here are some examples of gRPC applications for different languages and frameworks:

These examples will help you get started with experimenting with gRPC over HTTP/2.

gRPC Troubleshooting

gRPC can be tricky to set up, especially when using HTTP/2. One of the first things to check is the HTTP/2 connection, which is enabled by default in gRPC.

If you're experiencing issues with gRPC over HTTP/2, it's essential to verify that the HTTP/2 connection is established correctly. This involves checking the gRPC server's logs for any errors related to HTTP/2.

A common issue with gRPC over HTTP/2 is the lack of support for HTTP/2 in some browsers. This can cause problems when trying to use gRPC services from a web application.

To troubleshoot gRPC over HTTP/2, start by checking the gRPC server's configuration for any settings that might be causing the issue. This includes checking the HTTP/2 configuration, such as the HTTP/2 multiplexing settings.

If the issue persists, try checking the client-side code for any errors related to HTTP/2. This can help identify if the problem is on the client-side or server-side.

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gRPC Setup

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To enable gRPC over HTTP/2, you'll need to configure the bind line in a frontend section as an SSL endpoint.

This is done by specifying the proto parameter and announcing that the load balancer supports HTTP/2 (h2). For example, you might use a line like this: `proto h2`.

You'll also need to configure TLS connections to the servers in the backend section and specify the HTTP/2 protocol. This is done using the `proto h2` parameter.

Here's a quick rundown of the key settings:

For example, you might use a backend section like this: `haproxy backend grpc_servers mode http balancer roundrobin server s1 192.168.0.10:3000 check proto h2 server s2 192.168.0.10:3000 check proto h2`.

gRPC Calls

Making gRPC calls over HTTP/2 is a powerful way to build scalable and high-performance applications. However, it's essential to use asynchronous programming with async and await to make gRPC calls, as making blocking calls can lead to thread pool starvation and poor performance.

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When calling gRPC methods, prefer using asynchronous APIs, such as GreeterClient.SayHelloAsync, which can be awaited, over blocking methods like GreeterClient.SayHello. The latter can cause performance and reliability issues.

To complete streaming calls gracefully, the client and server must finish sending and receiving messages. This can be achieved by completing the request stream with call.RequestStream.CompleteAsync() and ensuring the server has read all messages from the request stream.

A server response stream is completed when the server has finished writing messages and the client has read all messages. If a client needs to cancel a streaming call, it can be done by canceling the request stream, but consider changing the call type to a bi-directional streaming call if the overhead is impacting the app.

Disposing of streaming calls once they're no longer needed is crucial to prevent resource leaks and ensure the HTTP request between the client and server is canceled if an unexpected error occurs. This can be achieved with a using declaration, as shown in the example:

```html

using (var call = client.AccumulateCount())

{

// Use the call

}

```

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gRPC Payloads

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Binary payloads are supported in Protobuf with the bytes scalar value type, which efficiently serializes large binary payloads with minimal overhead.

Text based formats like JSON require encoding bytes to base64 and add 33% to the message size. This is a significant disadvantage when working with large binary data.

gRPC and Protobuf can send and receive large binary payloads, but there are still important performance characteristics to keep in mind.

Messages with large binary payloads can allocate byte arrays on the large object heap, which impacts server performance and scalability.

A byte array larger than 85,000 bytes is considered a large object, and keeping below that size can avoid allocating on the large object heap.

To avoid unnecessary copies and allocations when working with large binary payloads, consider splitting them using gRPC streaming.

Here are some best practices for working with large binary payloads in gRPC:

  • Avoid large binary payloads in gRPC messages.
  • Consider splitting large binary payloads using gRPC streaming.
  • Consider not using gRPC for large binary data.

gRPC Load Balancing

Some load balancers don't work effectively with gRPC. L4 (transport) load balancers operate at a connection level, by distributing TCP connections across endpoints.

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This approach works well for loading balancing API calls made with HTTP/1.1, but it doesn't work well with gRPC. gRPC uses HTTP/2, which multiplexes multiple calls on a single TCP connection.

There are two options to effectively load balance gRPC: client-side load balancing and L7 (application) proxy load balancing. Only gRPC calls can be load balanced between endpoints.

Once a streaming gRPC call is established, all messages sent over the stream go to one endpoint.

To enable HTTP/2 between clients and the load balancer, you need to configure the bind line in a frontend section as an ssl endpoint. The proto parameter announces that the load balancer supports HTTP/2 (h2).

Here are the two options for effectively load balancing gRPC:

  • Client-side load balancing
  • L7 (application) proxy load balancing

You can configure TLS connections to the servers in the backend section and specify the HTTP/2 protocol to enable effective load balancing with gRPC.

Katrina Sanford

Writer

Katrina Sanford is a seasoned writer with a knack for crafting compelling content on a wide range of topics. Her expertise spans the realm of important issues, where she delves into thought-provoking subjects that resonate with readers. Her ability to distill complex concepts into engaging narratives has earned her a reputation as a versatile and reliable writer.

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