You could find out about the way we do it at https://github.com/madnificent/docker-ember but I would not if I were you.
The real risk, today at least, does not seem utterly huge. Jumping in this rabbit hole of containers is another topic in itself. I suggest continuing your learning as you do now and maybe revisit this later. You will learn faster that way.
Feel free to check what we did on the link above and ask questions later or whenever you feel ready for this topic.
You shouldn’t eat candy given to you by strangers. If you’re in a large group and someone knows the candy, maybe. Code is food for your computer. Be wary. Our large Open Source group of friends has learned about many kinds of candy and shouts loudly when some in the group becomes ill. You don’t want to become ill. Some risk exists, but with a large group it is generally ok. Don’t install packages as root, don’t install what you don’t need.
I run my frontend builds through Docker (also during development). By isolating access to the host system to the files/folders necessary for development I’ve shielded off the majority of current realistic attacks I’ve seen as NPM based exploits. I’m certain the approach can be replicated for other frameworks, but we use Ember and docker-ember. I doubt it runs as smoothly on a non-Linux OS.
I had to read the overview and it looks nice. It reads like IPFS without some of the challenging cruft. Well written!
IPFS seemingly works small scale but not large scale. What makes tenfingers handle millions of files and petabytes of data better than IPFS? Perhaps that is not the goal. In what way do you think the tech scales? Why will discovery of the node which has the data be short?
I want to ask for benchmarks but you can’t do a full benchmark without loads of resources.
I’m not actively looking but please do share references! Other people may read this and they may want to know too. Perhaps I’ll jump back in the rabbit hole at some point too 😁
Exactly. The Semantic Web is broader than Solid but Solid is great for personal apps.
Say you buy a smartphone. The specifications of the smartphone likely belong elsewhere than in a Solid Personal Online Datastore, but they can be pulled in from semantic data on the product website. Your own proof of purchase is a great candidate for a Solid POD, as is the trace of any repairs made to it.
These technologies are great to cross the barriers between applications. If we’d embrace this, it would be trivial to find the screen protector matching your exact smartphone because we’d have an identifier to discover its type and specifications. Heck, any product search would be easier if you could combine sources and compare with what you already have.
The sharing tech exists. Building apps works also. Interpreting the information without building a dedicated interface seems lacking for laymen.
IPFS would replace Content Delivery Networks in present day.
It would also allow you to host software and other content from your own network again without the constraints modern Internet Service Providers pose on you to limit your self-hosting capabilities.
If applications are built for it, it could serve as live storage for your applications too.
We ran ipf-search. In one of the experiments we could show that a distributed search index on ipfs-search, accessible through JavaScript is likely feasible with the necessary research. Parts of the index would automatically be hosted by clients who used the index thus creating a fairly resilient system.
Too bad IPFS couldn’t get over the technical hurdles of limiting connection setup time. We could get a fast (ElasticSearch based) index running and hosted over common web technologies, but fetching content from IPFS directly was generally rather slow.
The semantic web and social linked data. We could have applications share data without depending on big tech, but rather based on application standards.
It can be used today and gains traction but I wouldn’t mind it going faster. Especially the interoperable personal app space could use some love and attention.
https://github.com/mu-semtech/sparql-parser contains an EBNF parser for SPARQL, an LL(1) language. You might be able to borrow code, not sure how well it translates to scheme. GitHub asked me to log in to see the gist so I’d have to have a peek later.
sparql-ast folder contains the relevant bits regarding the parsing.
Kubernetetes is crazy complex when comparing to docker-compose. It is built to solve scaling problems us self-hosters don’t have.
First learn a few docker commands, set some environment variables, mount some volumes, publish a port. Then learn docker-compose.
Tutorials are plenty, if those from docker.com still exist they’re likely still sufficient.
I am waiting for federation to land. Would love to give it a spin and see how smooth that works across instances.
Looks good to me.
docker-ember largely automates such a setup with specific mounts for linking node modules from other folders, being able to bind to localhost for when you run the backend on your own machine, and exposing ports for livereload. May include other secret sauce. Some of that is closely tied to EmberJS.
I’m a fan of using tools you understand. What you show here is comprehensible and sufficient for now👌