Hashnode Reviews

LakeFS Reviews

Hashnode mentions (136)

• Docker for Beginners: Everything You Need to Know

  If you found this guide useful or have questions, don’t hesitate to drop a comment below. What was your first Docker project? Share your experiences, and let’s learn together! Don’t forget to follow me on Dev.to and Hashnode for more developer insights. Happy Dockering! - Source: dev.to / 4 months ago

• What is a canonical URL?

  So, let's say that you are writing a post on your website, but you also want to publish it on other platforms, like medium.com, dev.to or hashnode.com. There is no way you can compete with these domains in terms of domain authority. This means that, to Google, they are more valid sources of content then your small and less visited website. However, you can leverage the reach that those platforms can give you and... - Source: dev.to / 8 months ago

• How i use AI tools to make dev articles more useful (and more fun to read)

  Hashnode Developer-focused blogging platform with built-in formatting, graphs, and custom domains. - Source: dev.to / about 1 year ago

• How we built our docs site

  We looked into a few different providers including GitBook, Docusaurus, Hashnode, Fern and Mintlify. There were various factors in the decision but the TLDR is that while we manage our SDKs with Fern, we chose Mintlify for docs as it had the best writing experience, supported custom React components, and was more affordable for hosting on a custom domain. Both Fern and Mintlify pull from the same single source of... - Source: dev.to / about 1 year ago

• Are you Junior… or Jedi Master? Why your first dev job feels like chasing a myth

  Hashnode write dev blogs and build a reputation. - Source: dev.to / about 1 year ago

LakeFS mentions (6)

• Ask HN: AWS S3, Cloudflare R2, GCS, Wasabi, or B2?

  I would add https://github.com/gaul/s3proxy to your list. - Source: Hacker News / over 2 years ago

• Dev / Stage / Prod is the wrong pattern for data pipelines

  * data state - this is contents of both your data and metadata at a given point in time. if your data doesn't fit into a single database, this can be difficult to manage. We use this technology to help us: https://lakefs.io/. - Source: Hacker News / almost 3 years ago

• Dev / Stage / Prod is the wrong pattern for data pipelines

  Saltcured, find these comments super insightful! > Yeah, there's a lot of hidden magic/assumptions in having a "writable snapshot of a specific version" of production data. That's absolutely a huge assumption. This technology has been a game changer for us: https://lakefs.io/ > It becomes a headache when there is too much contention to use these sandboxes, or too much manual effort to reset them to a desired... - Source: Hacker News / almost 3 years ago

• Using git to version control experimental data (not code)?

  You should not store your data in git itself, but rather use git to version your data sets. The currently best option for that is (IMHO) https://lakefs.io though there are a few others in various states of usability/maturity. Source: over 3 years ago

• How are you incrementally testing your data pipelines as you develop them?

  I mean if you're ready to adopt a new framework into your ecosystem this is one of the major usecases for LakeFS. Source: over 3 years ago