Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat(docs): add documentation for HPA-based autoscaling #5935

Merged
merged 1 commit into from
Sep 25, 2024

Conversation

lc525
Copy link
Member

@lc525 lc525 commented Sep 25, 2024

This describes a solution for scaling both Models and Servers based on HPA for
the case of single-model serving. In the example described in the docs, the
scaling is done based on Model RPS metrics fetched from Prometheus.

Which issue(s) this PR fixes:
Fixes #INFRA-1190 (docs)

This describes a solution for scaling both Models and Servers based on HPA for
the case of single-model serving. In the example described in the docs, the
scaling is done based on Model RPS metrics fetched from Prometheus.
@lc525 lc525 requested a review from sakoush as a code owner September 25, 2024 13:43
@lc525 lc525 added the v2 label Sep 25, 2024
@lc525
Copy link
Member Author

lc525 commented Sep 25, 2024

Reviewed and approved by Sherif here: #5932

@lc525 lc525 merged commit 8db956d into SeldonIO:v2-docs-master Sep 25, 2024
2 of 3 checks passed
@lc525 lc525 deleted the INFRA-1190/hpa-rps-docs branch September 25, 2024 14:24
lc525 pushed a commit to lc525/seldon-core that referenced this pull request Oct 2, 2024
New format compatible with GItBook

* moved docs out of the source directory and removed spnix-related files
* APIs section completed
* changing the configuration section in the getting started guide
* getting started sectionc completed
* rearranged models directory and enhanced different docs
* added most images in the dos to the images directory
* moved outliers and drift docs to its own file in the root directory
* deleted servers directory and moved servers.md to the root directory with enhancements
* deleted pipelines dir and moved pipelines.md to the root directory
* deleted inference dir and moved inference.md to the root directory
* deleted explainers dir and moved explainers.md to the root directory
* deleted performance-tests dir and moved .md to the root directory
* deleted experiments dir and moved .md to the root directory
* updated about section to match gitbook's expected format
* updated FAQs section to match gitbook's expected format
* updated pandas query section with choice1.yaml
* mostly moved and renamed files and directories
* updated SUMMARY.md for GitBook
* adding additional images
* restructured development dir
* restructured and reformatted examples dir to match GitBook's md flavor
* added gitbook format to metrics dir
* restructured k8s directory to match GitBooks expected md flavor
* reformatted cli dir
* typos and links fixed
* typos and links fixed
* tentative structured added to the root of the docs
* fixed names in kubernetes section
* GITBOOK-1: changed hard-coded reference to scheduler.proto
* added reference to chainer.proto instead of hard-coded version
* removed hard-coded references and added GitHub Gist pointing to v2 branch
* fixed format and broken links
feat(docs): adding a mention of per component labels and annotations to the docs (SeldonIO#5931)
feat(docs): add documentation for HPA-based autoscaling (SeldonIO#5935)
 This describes a solution for scaling both Models and Servers based on HPA for
 the case of single-model serving. In the example described in the docs, the
 scaling is done based on Model RPS metrics fetched from Prometheus.
lc525 added a commit to lc525/seldon-core that referenced this pull request Oct 2, 2024
This describes a solution for scaling both Models and Servers based on HPA for
the case of single-model serving. In the example described in the docs, the
scaling is done based on Model RPS metrics fetched from Prometheus.
lc525 added a commit to lc525/seldon-core that referenced this pull request Oct 2, 2024
This describes a solution for scaling both Models and Servers based on HPA for
the case of single-model serving. In the example described in the docs, the
scaling is done based on Model RPS metrics fetched from Prometheus.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant