for-mac VS gRPC

I use containers on Mac and Windows for development (and we deploy on linux). Docker for Mac is _unusably_ slow in my experience. The VM that it runs is a giant resource hog and a battery hog, and doesn't support ipv6 [0] Docker Desktop itself is (another) resource hog, wildly buggy, and painfully slow. It's the epitome of "shitty electron app".

On windows, docker desktop has all of the same issues as it does on mac. Docker's concept of volumes and file permissions on windows are nonsense. Windows updates and Docker Desktop regularly decide to disagree, [1] It's networking support interferes with other applications (like OpenVPN and the Xbox Game Center) [2].

[0] https://github.com/docker/for-mac/issues/1432

[1] https://github.com/docker/for-win/issues/599

[2] https://github.com/docker/for-win/issues/1976

version: '3' services: graph-node: image: graphprotocol/graph-node ports: - '8000:8000' - '8001:8001' - '8020:8020' - '8030:8030' - '8040:8040' depends_on: - ipfs - postgres extra_hosts: - host.docker.internal:host-gateway environment: postgres_host: postgres postgres_user: graph-node postgres_pass: let-me-in postgres_db: graph-node ipfs: 'ipfs:5001' matic: 'matic:http://localhost:8545/' GRAPH_LOG: info ipfs: image: ipfs/go-ipfs:v0.10.0 ports: - '5001:5001' volumes: - ./data/ipfs:/data/ipfs postgres: image: postgres ports: - '5432:5432' command: [ "postgres", "-cshared_preload_libraries=pg_stat_statements" ] environment: POSTGRES_USER: graph-node POSTGRES_PASSWORD: let-me-in POSTGRES_DB: graph-node # FIXME: remove this env. var. which we shouldn't need. Introduced by # , maybe as a # workaround for https://github.com/docker/for-mac/issues/6270? PGDATA: "/var/lib/postgresql/data" POSTGRES_INITDB_ARGS: "-E UTF8 --locale=C" volumes: - ./data/postgres:/var/lib/postgresql/data

This bug has been around years and still not fixed as far as I know - see https://github.com/docker/for-mac/issues/3926

You're not wrong, and not the first to raise this https://github.com/docker/for-mac/issues/6061

https://github.com/docker/for-mac/issues/6867 This github issue might help. What worked for me was deleting the ~/.docker/buildx folder

There has been an outstanding bug [Docker Github] for years with the Docker team who do not seem to be able (or want to) address this - they have closed more than one issue but its still there.. The latest bug report is this one [Docker Github] but I honestly would not bother following it - no idea why they are not fixing this.

Have you checked if any of your other Docker containers become unresponsive at the same time? If so, it could be Docker. I had this issue on Docker for months until they finally came out with an update that works for me (Docker Desktop 4.19.0 for Mac).

It might have something to do with Docker? I was having issues a few months ago with all my containers becoming unreachable or very slow many times per day. I finally upgraded to Docker Desktop 4.19.0 (I’m on a Mac) and everything resolved. There were a few GitHub issues about it, too. You could try running a speedtest within different Docker containers and seeing if there’s a discrepancy. You could also check your RAM and CPU usage for different containers using something like Glances; it could lead to a clue.

gRPC, built on HTTP/2, inherently supports flow control. The server can push updates, but it must also respect flow control signals from the client, ensuring that it doesn't send data faster than what the client can handle.

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.

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.

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 .

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.

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.

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>

Even in the https://grpc.io blog says this

gRPC