blog: February community gems (#3261)

Co-authored-by: Casper da Costa-Luis <[email protected]>

content/blog/2022-02-28-february-22-community-gems.md

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+---
+title: February '22 Community Gems
+date: 2022-02-28
+description: >
+  A roundup of technical Q&A's from the DVC and CML community. This month:
+  comparing experiments, working with data, working with pipelines, and more.
+descriptionLong: >
+  A roundup of technical Q&A's from the DVC and CML community. This month:
+  comparing experiments, working with data, working with pipelines, and more.
+picture: 2022-02-28/feb-comm-gems.png
+author: milecia_mcgregor
+commentsUrl: https://discuss.dvc.org/t/february-22-community-gems/1078
+tags:
+  - Data Versioning
+  - DVC Remotes
+  - DVC API
+  - DVC Stages
+  - Community
+---
+
+### [How can I delete DVC-tracked files from cloud storage?](https://discord.com/channels/485586884165107732/563406153334128681/927618225989111880)
+
+Thanks for the question @fireballpoint1!
+
+You can find the best way to delete files from your cloud storage in
+[our docs](https://dvc.org/doc/command-reference/gc#removing-data-in-remote-storage).
+Make sure you're super careful when deleting data from the cloud because it's an
+irreversible action. Here's an example of a deletion command that will clear out
+everything in your cloud storage _except_ what is referenced in your workspace.:
+
+```dvc
+$ dvc gc --workspace --cloud
+```
+
+This option only keeps the files and directories referenced in the workspace and
+it removes everything else, including data in the cloud and cache. By default,
+this command will use the default remote you have set. You can specify a
+different remote storage with the `--remote` option like this:
+
+```dvc
+$ dvc gc --workspace --cloud --remote name_of_remote
+```
+
+### [I'm using DVC experiments, but the Git index gets corrupted with large (4GB) files. What is the best workaround?](https://discord.com/channels/485586884165107732/563406153334128681/928939232033140736)
+
+Great question from @charles.melby-thompson!
+
+Experiment files may be tracked by Git or DVC. For large files, we generally
+recommend tracking them with DVC, in which case file size shouldn't be an issue.
+
+By default, experiments will track all other files with Git. However, Git will
+fail with too much data. If there are files you don't want to track at all (such
+as large temporary/intermediate files), you can add them to your .gitignore
+file.
+
+Check out
+[this open issue with experiments](https://github.com/iterative/dvc/issues/6181)
+for more details and to provide feedback.
+
+### [Is there an easy way to visualize DVC experiment results without using the command line?](https://discord.com/channels/485586884165107732/485596304961962003/930150143259459644)
+
+Good question @LucZ[Mad]!
+
+If you bring those experiments into your regular Git workflow, e.g. using
+`dvc exp branch` to create a branch for any experiment you want to share, you
+could use [DVC Studio](https://studio.iterative.ai/) to visualize them.
+
+We're working on support for viewing any pushed experiments in Studio right now
+so if there's anything you want to see, make sure to comment on and follow
+[this issue](https://github.com/iterative/studio-support/issues/45).
+
+### [Can CML self-hosted runners stop the instance after the idle timeout instead of terminating?](https://discord.com/channels/485586884165107732/728693131557732403/933674203796873226)
+
+This is another fantastic question from @jotsif!
+
+No, we deliberately terminate the instance to avoid unexpected costs. Stopped
+but unterminated instances
+[can still cost the same as running ones](https://aws.amazon.com/premiumsupport/knowledge-center/ec2-billing-terminated/).
+It's best to let the CML runner terminate and create new instances, running
+`dvc pull` to restore your data each time.
+
+However, if you're trying to preserve data (e.g. cache dependencies to speed up
+experimentation time) on an AWS EC2 instance, you could
+[connect persistent AWS S3 remote storage](https://aws.amazon.com/premiumsupport/knowledge-center/s3-transfer-data-bucket-instance/).
+
+### [What's the difference between DVC Studio free and enterprise versions?](https://discord.com/channels/485586884165107732/841856466897469441/933324508570472497)
+
+Thanks for asking @Abdi!
+
+You can find more info about the different
+[DVC Studio tiers here](https://studio.iterative.ai/#pricing).
+
+The _Free_ tier has all the features most individual users need, like connecting
+to ML repositories, creating views, submitting experiments, and generating
+plots. The _Teams_ tier allows you to create large teams for better
+collaboration and sharing of views and settings with everyone. The _Enterprise_
+tier is more for needs around compliance, dedicated support, and on-premise
+installation.
+
+If you are trying to decide which plan to select, please email us at
+`[email protected]` and we'll help you figure it out based on your needs.
+
+### [How can I use one `dvc.yaml` file with multiple pipeline folders with different `params.yaml` files?](https://discord.com/channels/485586884165107732/485596304961962003/939099847288578079)
+
+@louisv, thanks for this question!
+
+It seems like you're looking for the parametrization functionality. You can
+learn more about how it works
+[in this doc](https://dvc.org/doc/user-guide/project-structure/pipelines-files#templating),
+but here's a an example of what that might look like in the `dvc.yaml`.
+
+```yaml
+stages:
+  cleanups:
+    foreach: # List of simple values
+      - raw1
+      - labels1
+      - raw2
+    do:
+      cmd: clean.py "${item}"
+      outs:
+        - ${item}.cln
+```
+
+### [Is it possible to change the x-label in DVC Studio?](https://discord.com/channels/485586884165107732/841856466897469441/938857004187943003)
+
+A great question about Studio from @PythonF!
+
+You can set custom properties for your plot in your `dvc.yaml` like this:
+
+```yaml
+plots:
+  - plots_no_cache.csv:
+      cache: false
+      x: r
+```
+
+You can also use `dvc plots modify` to change the x-label or y-label for your
+plots using commands similar to the following.
+
+```dvc
+$ dvc plots modify plots_no_cache.csv -x r -y q
+```
+
+---
+
+https://media.giphy.com/media/h5Ct5uxV5RfwY/giphy.gif
+
+At our March Office Hours Meetup we will be about how you can create, run, and
+benchmark DVC pipelines with [ZnTrack](https://github.com/zincware/ZnTrack)!
+[RSVP for the Meetup here](https://www.meetup.com/Machine-Learning-Engineer-Community-Virtual-Meetups/events/283998696/)
+to stay up to date with specifics as we get closer to the event!
+
+[Join us in Discord](https://discord.com/invite/dvwXA2N) to get all your DVC and
+CML questions answered!