JSON Reviews

Artifactory Reviews

JSON mentions (13)

• The Last Breaking Change | JSON Schema Blog

  The YAML 0.1 spec was sent to a public user group in May 2001. JSON was named in a State Software internal discussion. State Software was founded in March 2001. json.org was launched in 2002. Therefore you’re just wrong: YAML came out before JSON. Source: over 1 year ago

• Why does wine give warnings about using 64bit prefixes, or has 32bit packages? Hasn't the world moved on from 32 bit a century ago?

  How come that doesn't apply to other libraries? For example, when I write Java or Node.js programs, I don't need to make sure packages like json.org or express.js have a 32bit or 64bit environment. What makes windows libs different than NPM libs? Source: almost 2 years ago

• “Ignore the f'ing haters ” And other lessons learned from creating a popular

  The first two sentences of the text on http://json.org are "JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write." It's a primary goal of JSON, it's fair to question whether it's successful at it. Personally, I'd much rather write TOML or S expressions. I don't like YAML at all, the whitespace sensitivity drives me nuts. - Source: Hacker News / almost 2 years ago

• Recording your JSON data to MCAP, a file format that support multiple serialization formats

  To help you make the transition, we’ve written a tutorial on how to write an MCAP writer in Python to record JSON data to an MCAP file. Source: almost 2 years ago

• replace \" with "

  What you need to probably do is to step back and learn the format for JSON, and the core data structures that you will find in most languages:. Source: almost 2 years ago

Artifactory mentions (20)

• Where to store executables shared by a team/project

  I kind of hate it, but Artifactory seems popular at companies: https://jfrog.com/artifactory/. Source: almost 1 year ago

• Adding Virtual Environments to Git Repo

  When not providing all dependencies yourself, you might suffer from people deleting the packages you depend on (IMHO a very rare scenario). If it is really that critical (hint: usually it isn't), create a local mirror of Pypi (full or only the packages you need). Devpi, Artifactory, etc. Can do that or you just dump the necessary files into Cloud storage, so you have a backup. Source: about 1 year ago

• Authenticated Docker Hub image pulls in Kubernetes

  Operate a pull-through cache registry, like Artifactory or the open source reference Docker registry. This will allow you to pull images from Docker Hub less frequently, improving your chances of staying under the anonymous usage limit. - Source: dev.to / about 1 year ago

• Concretely, how do you trust the experts? That is, how do you a) identify experts relevant to something and b) determine if they have a consensus (and if so, what it is) on a given topic?

  Like suppose for a second that . . . Idk . . . a product team wants our ci workflows to start using Artifactory. Okay great, I don't know Artifactory integration but I'm going to tell them "Sure, I'll get right on that.". Source: over 1 year ago

• What do I do with large "asset" files?

  If these "assets" have an independent release schedule I would treat them separately (especially if they are externally provided). If they are not built from source then treat them as artefacts, they don't belong in git. You can store the in an artefact repository (like Artifactory of Nexus) or (as u/nekokattt points out) in something like S3. Source: over 1 year ago