TinyGo VS dgraph

Reading through the documentation, you will understand why this plugin is called "tiny," i.e., the SDK uses the TinyGo compiler instead of the official Go compiler. You can read more about why this is the case on the SDK\'s overview page, but the TLDR version is that the Go compiler can only produce Wasm binaries that run in the browser.

Not only you can fit Go into a kernel, there is at least two products that do so.

TamaGo, used to write the firmware used in USB armory.

https://www.withsecure.com/en/solutions/innovative-security-...

TinyGo, which even has official Arduino and ARM support, and is sponsored by Google

https://tinygo.org/

Ah but that isn't proper Go! Well neither is the C code that is allowed to be used in typical kernel code, almost nothing from ISO C standard library is available, and usually plenty of compiler specific language extensions are used instead.

Reminds me of https://tinygo.org/ - a project that brings Golang to embedded devices, browser (wasm) contexts. Do you converge or diverge from that project?

You should also consider TinyGo. It can compile Go for the Pico, and is starting to get good device support.

Thankfully some folks completly ignored whatever the rest of the world thinks system programming is all about and created:

- TinyGo (https://tinygo.org/), which is acknowledged by people in the industry[0][1]

- TamaGo unikernel on USB Armory secure key (https://www.withsecure.com/de/solutions/innovative-security-...)

And then there is the question if writing compilers, assemblers, linkers is systems programming or not.

[0]-https://www.cnx-software.com/2019/08/28/tinygo-go-compiler-f...

[1]-https://twitter.com/ArmSoftwareDev/status/131680481331796787...

Have you seen TinyGo? In the case of embedded system I would probably still chose C over Rust if the system didn't support dynamic memory allocation, and most embedded systems do not.

>I really hate how for microcontrollers the only two choices are either C++ or Micropython

There's TinyGo as well. https://tinygo.org/

Gist link fixed, thanks. Compared to TinyGo, Go with GOOS=wasip1 will probably generate larger artifacts (at least, for now). This is because it bundles the entire Go runtime. The benefit is that it fully supports goroutine scheduling and non-blocking I/O. TinyGo (I believe) still uses a custom asyncify pass and does not support non-blocking I/O nor basic WASI networking (e.g. https://github.com/tinygo-org/tinygo/pull/2748 never landed, but GOOS=wasip1 supports it).

Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support.

Dgraph (GraphQL, DQL)

Have you tried dgraph.io?

DGraph – A distributed GraphQL database with a graph backend.

How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic?

Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes worker nodes were required.