apps-script-samples VS gRPC

One of the things that stifles openness is noise. Sifting through our public repos, some are very obviously redundant and just distracting. So we started by archiving a whole bunch of them - over half, in fact. We wrote some Google Apps Script in a spreadsheet to import and analyze the state of all our public repos:

I am not a JS developer, but in some tech areas there are niches with relatively fewer developers competing for the same position.

I don't know if this is actually a niche, but since I don't see it mentioned frequently on HN, perhaps you could have a look at Google Apps Script [0], which is basically JS for automating and extending Google Docs (Docs, Sheets, Forms, Slides), and integrating them into GCP. Tons of companies have whole departments living inside Google Docs, so I imagine they would pay for software making their lives easier. I would but I currently don't have the budget for it, so I am writing short scripts myself. Curiously, Bard and ChatGPT produce really bad Apps Scripts code, which would be to your advantage.

When I occasionally hire people, I do look at their repos to see how good they are in a specific language. Specifically, how easy to follow and idiomatic their code is, what the quality of their comments and documentation is, are there any tests, even if very rudimentary. I particularly enjoy original projects like home automation, custom keyboard firmware, an alternative Netflix UI, a ggplot extension, a basic Python wrapper for some overly-complicated API vs. your typical to-do app or yet another analysis of the Bike Sharing dataset. I don't expect all people to have public repos or FLOSS contributions because not everyone has the time for that. However, if you wanted to demonstrate skills in a technology you haven't used professionally, I think it is a good idea.

0. https://developers.google.com/apps-script

I have a function in Apps Script that returns the Document Position, and I currently have it set to be called every second. However, I'm concerned about potential limitations or quotas that I might reach by making such frequent function calls. I got the idea from their own samples.

Here is the documentation link to help you: https://developers.google.com/apps-script/

Before we get started with ChatGPT, you'll need to set up Google Apps Script. If you're not already familiar with Google Apps Script, you can get started with the documentation here.

Since a few years I had a Google Apps Script that prefixed some events in my calendar with an emoji. This helps me spot certain events or categories of events. This blogpost explains very well why I like to add emoji's to my calendar events.

From my current employer I discovered that you can get surprisingly high mileage with spreadsheets and a little bit of scripting.

My employer uses Google Sheets with app scripts [1].

It automatically reads emails, updates a bunch of spreadsheets, makes other API calls, creates entire report documents etc.

The initial setup might take a while though.

[1] https://developers.google.com/apps-script

I have completed https://grasshopper.app entirely with no prior knowledge of coding. It is very hands on easy to follow. There is more doing coding than reading and each question has a walkthrough available. It is by Google and directs you too Google's own coding platform when you finish. It covers the basics of coding, automation, HTML/CSS/JavaScript and Google's AppScript that work with apps like Google Drive and Sheets. Each course has a PDF certificate of completion. (Last I checked the app was bricked and suggested using the webpage until they figured out the bug with the new operating system.)

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