OpenMetrics
gRPC
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OpenMetrics | gRPC | |
---|---|---|
14 | 200 | |
2,239 | 40,488 | |
1.3% | 1.2% | |
0.0 | 9.9 | |
about 1 month ago | 7 days ago | |
Go | C++ | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OpenMetrics
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autometrics: easily add metrics to any function -- and jump to live Prometheus charts directly from your IDE (links with automatically customized PromQL queries are inserted into each function's doc comments)
The latter is both the "official" client (under the prometheus GitHub org) and the author's own evolution path from the former. More importantly, it enforces that all metrics comply with the OpenMetrics specification.
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I once had hope that HTML5 would be the end of webpage compatibility issues, big NOPE. Could everyone just say somewhere on the site it's optimized for a certain browser?
The compatibility problem is "solved" when you have an objective compliance test. Like this one, for an OpenMetrics endpoint, that really makes it fast and easy to verify my code.
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Integrating Software Networking products into Monitoring
The new defacto standard metrics protocol is based on Prometheus metrics format. It's now published as OpenMetrics.
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Opensource Server Hosting/Management Web Panel
This is something that is actually on the road map, and something I have been assigned to. So you can expect to see this in the future, I will likely be implementing OpenMetrics endpoints that will be compliant with Prometheus & possibly promtail for Loki. I hope our status page located at `/status` will do for now.
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Looking for lightweight network protocol for low latency communication for embedded system
I would have a look at the Open Metrics protocol standard. It's not exactly what you're asking for, but it's a general use solution to the kinds of problems I think you're actually trying to solve.
Yup. I worked on the RFC for this.
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Kubernetes State Of The Union — KubeCon 2019, San Diego
Prometheus has established itself as a standard open-source tool for event monitoring and alerting and metrics collection. With OpenMetrics now a CNCF sandbox project, and OpenTracing and OpenCensus merging to become OpenTelemetry, opportunities have been created for new companies to provide monitoring and diagnostics solutions. While Datadog remains the 800-pound gorilla, a large number of startups and smaller players are offering a variety of monitoring solutions, and even finding a niche in deeper diagnostics, including more comprehensive solutions that include infrastructure level, Kubernetes cluster level, and microservice applications level monitoring and diagnostics all in one place, to help pinpoint the production issues quickly. I also saw a few vendors offering predictive diagnostic solutions. It seems the monitoring solution market will continue to be fragmented, with a couple of larger players and a number of smaller players competing on innovation.
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Prometheus exporter for Playnite game statistics
Prometheus wants data in a specific format (value_name{label1="value1"} numbericValue) and an "exporter" is a middleware that reads data from something and exports it in Prometheus-compatible format (the format is being "opened" as OpenMetrics).
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More than 70% of prometheus executable are unused by most people
Prometheus follows the OpenMetrics standard I'm not sure what you find propietary about that or specific to prometheus.
https://github.com/OpenObservability/OpenMetrics/blob/main/s...
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Prometheus Rust client library to natively instrument applications
They don't really overlap: one tells you how collector supposed to work and which APIs to expose, while others just tells you how to expose metrics to the outer world. Almost nothing stops you from exposing OpenTelemtry metrics as OpenMetrics.*
gRPC
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Reverse Engineering Protobuf Definitions from Compiled Binaries
Yes, grpc_cli tool uses essentially the same mechanism except implemented as a grpc service rather than as a stubby service. The basic principle of both is implementing the C++ proto library's DescriptorDatabase interface with cached recursive queries of (usually) the server's compiled in FileDescriptorProtos.
See also https://github.com/grpc/grpc/blob/master/doc/server-reflecti...
The primary difference between what grpc does and what stubby does is that grpc uses a stream to ensure that the reflection requests all go to the same server to avoid incompatible version skew and duplicate proto transmissions. With that said, in practice version skew is rarely a problem for grpc_cli style "issue a single RPC" usecases: even if requests do go to two or more different versions of a binary that might have incompatible proto graphs, it is very common for the request and response and RPC to all be in the same proto file so you only need to make one RPC in the first place unless you're using an extension mechanism like proto2 extensions or google.protobuf.Any.
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Delving Deeper: Enriching Microservices with Golang with CloudWeGo
While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future.
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gRPC Name Resolution & Load Balancing on Kubernetes: Everything you need to know (and probably a bit more)
The loadBalancingConfig is what we use in order to decide which policy to go for (round_robin in this case). This JSON representation is based on a protobuf message, then why does the name resolver returns it in the JSON format? The main reason is that loadBalancingConfig is a oneof field inside the proto message and so it can not contain values unknown to the gRPC if used in the proto format. The JSON representation does not have this requirement so we can use a custom loadBalancingConfig .
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Dart on the Server: Exploring Server-Side Dart Technologies in 2024
The Dart implementation of gRPC which puts mobile and HTTP/2 first. It's built and maintained by the Dart team. gRPC is a high-performance RPC (remote procedure call) framework that is optimized for efficient data transfer.
- Usando Spring Boot RestClient
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
gRPC is a high-performance, open-source RPC (Remote Procedure Call) framework initially developed by Google. It uses Protocol Buffers for serialization and supports bidirectional streaming.
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Actual SSH over HTTPS
In general, tunneling through HTTP2 turns out to be a great choice. There is a RPC protocol built on top of HTTP2: gRPC[1].
This is because HTTP2 is great at exploiting a TCP connection to transmit and receive multiple data structures concurrently - multiplexing.
There may not be a reason to use HTTP3 however, as QUIC already provides multiplexing.
I expect that in the future most communications will be over encrypted HTTP2 and QUIC simply because middleware creators can not resist to discriminate.
[1] <https://grpc.io>
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SGSG (Svelte + Go + SQLite + gRPC) - open source application
gRPC
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Level UP your RDBMS Productivity in GO
I have decided to use gRPC because it's a very simple protocol and it's very easy to use.
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Create Production-Ready SDKs with Goa
Goa generates gRPC code for you. gRPC is an efficient alternative to plain HTTP, over which you can provide your API. It requires the use of protocol buffers, made by Google. Our repository already provides the protoc app for you, in completed_app/lib.
What are some alternatives?
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
Apache Thrift - Apache Thrift
Cap'n Proto - Cap'n Proto serialization/RPC system - core tools and C++ library
zeroRPC - zerorpc for python
rpclib - rpclib is a modern C++ msgpack-RPC server and client library
nanomsg - nanomsg library
RPyC - RPyC (Remote Python Call) - A transparent and symmetric RPC library for python
asio-grpc - Asynchronous gRPC with Asio/unified executors
bloomrpc - Former GUI client for gRPC services. No longer maintained.
Nameko - Python framework for building microservices
awesome-json-rpc - Curated list of JSON-RPC resources.
eCAL - Please visit the new repository: https://github.com/eclipse-ecal/ecal