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Protocol Buffers is widely used at Google for storing and interchanging all kinds of structured information. The method serves as a basis for a custom remote procedure call (RPC) system that is used for nearly all inter-machine communication at Google.
Use cases range from microservices to the "last mile" of computing (mobile, web, and Internet of Things). gRPC uses HTTP/2 for transport, Protocol Buffers as the interface description language, and provides features such as authentication, bidirectional streaming and flow control, blocking or nonblocking bindings, and cancellation and timeouts ...
Protocol Buffers – "Google's lingua franca for data", [126] a binary serialization format which is widely used within the company. SSTable (Sorted Strings Table) – a persistent, ordered, immutable map from keys to values, where both keys and values are arbitrary byte strings.
The high-level design focuses on speed and security, making it suitable for network as well as inter-process communication. Cap'n Proto was created by the former maintainer of Google's popular Protocol Buffers framework (Kenton Varda) and was designed to avoid some of its perceived shortcomings.
Google Protocol Buffers (protobufs) package includes an interface definition language used for its RPC protocols [13] open sourced in 2015 as gRPC. [14] WAMP combines RPC and Publish-Subscribe into a single, transport-agnostic protocol. Google Web Toolkit uses an asynchronous RPC to communicate to the server service. [15]
QUIC has been specifically designed to be deployable and evolvable and to have anti-ossification properties; [30] it is the first IETF transport protocol to deliberately minimise its wire image for these ends. [31] Beyond encrypted headers, it is 'greased' [32] and it has protocol invariants explicitly specified. [33]
ALTS, similar to TLS, was designed specifically for Google’s data centers and relies on two protocols, Handshake and Record. [3] Google began developing ATLS in 2023 in order to create a security system solution for the company’s infrastructure.
This is notably done for Google Protocol Buffers, and is known as a zigzag encoding for signed integers. [13] One can encode the numbers so that encoded 0 corresponds to 0, 1 to −1, 10 to 1, 11 to −2, 100 to 2, etc.: counting up alternates between nonnegative (starting at 0) and negative (since each step changes the least-significant bit ...