chore(docs): Cleaning up Top Level Docs pages (#7075)

* Update Community page

* Clean up `helm-charts` folder's readme

* Clean up Helm Charts doc page

* Remove Radmap doc page and update link to the archived docs

* Cleaning up home page (links, content)

* Fix old link in the helm_charts.md docs

* Fixing links on the home page

* Remove mentioning of the slack channel in Community page

* Fixed Overview of Components page

* Add separate page with link to github releases

* Fixed Overview of Components doc

* Remove links to X from the community page

* Fix link to the operator helm chart in the Advanced Helm Chart Configuration page

* Update links for the core chart

* Mention helm charts being published to github repo as well

* Fix link to the License in the Home page

* Fix link text

* Fix link to python wrapper

* Improve repetition

Author: tyndria

docs-gb/README.md

@@ -19,7 +19,6 @@ Seldon core converts your ML models (Tensorflow, Pytorch, H2o, etc.) or language
 Seldon handles scaling to thousands of production machine learning models and provides advanced machine learning capabilities out of the box including Advanced Metrics, Request Logging, Explainers, Outlier Detectors, A/B Tests, Canaries and more.
 
 * Read the [Seldon Core Documentation](https://docs.seldon.ai/seldon-core-1)
-* Join our [community Slack](https://join.slack.com/t/seldondev/shared_invite/zt-vejg6ttd-ksZiQs3O_HOtPQsen_labg) to ask any questions
 * Get started with [Seldon Core Notebook Examples](notebooks/)
 * Learn how you can [start contributing](developer/contributing.md)
 
@@ -29,12 +28,12 @@ Seldon handles scaling to thousands of production machine learning models and pr
 
 With over 2M installs, Seldon Core is used across organisations to manage large scale deployment of machine learning models, and key benefits include:
 
-* Easy way to containerise ML models using our [pre-packaged inference servers](servers/overview.md), [custom servers](servers/custom.md), or [language wrappers](https://docs.seldon.io/projects/seldon-core/en/1.18/wrappers/language_wrappers.html).
-* Out of the box endpoints which can be tested through [Swagger UI](https://docs.seldon.io/projects/seldon-core/en/latest/reference/apis/openapi.html?highlight=swagger), [Seldon Python Client or Curl / GRPCurl](wrappers/python/python_module.md#seldon-core-python-package).
-* Cloud agnostic and tested on [AWS EKS, Azure AKS, Google GKE, Alicloud, Digital Ocean and Openshift](notebooks/#cloud-specific-examples).
-* Powerful and rich inference graphs made out of [predictors, transformers, routers, combiners, and more](https://docs.seldon.io/projects/seldon-core/en/1.18/examples/graph-metadata.html).
+* Easy way to containerise ML models using our [pre-packaged inference servers](servers/overview.md), [custom servers](servers/custom.md), or [language wrappers](configuration/wrappers-and-sdks/README.md).
+* Out of the box endpoints which can be tested through [Swagger UI](reference/prediction-apis/prediction-open-api-spec/seldon-core-external-via-ambassador/README.md), [Seldon Python Client or Curl / GRPCurl](wrappers/python/python_module.md#seldon-core-python-package).
+* Cloud agnostic and tested on [AWS EKS, Azure AKS, Google GKE, Alicloud, Digital Ocean and Openshift](notebooks/README.md#cloud-specific-examples).
+* Powerful and rich inference graphs made out of [predictors, transformers, routers, combiners, and more](routing/inference-graph.md).
 * Metadata provenance to ensure each model can be traced back to its respective [training system, data and metrics](deployments/metadata.md)
-* Advanced and customisable metrics with integration [to Prometheus and Grafana](integrations/analytics.md).
+* Advanced and customisable metrics with integration to [Prometheus](integrations/analytics.md).
 * Full auditability through model input-output request [logging integration with Elasticsearch](reference/log_level.md).
 * Microservice distributed tracing through [integration to Jaeger](integrations/distributed-tracing.md) for insights on latency across microservice hops.
 * Secure, reliable and robust system maintained through a consistent [security & updates policy](../SECURITY.md).
@@ -146,7 +145,7 @@ class Model:
         return output
 ```
 
-We can now containerize our class file using the [Seldon Core s2i utils](https://docs.seldon.io/projects/seldon-core/en/1.18/wrappers/s2i.html) to produce the `sklearn_iris` image:
+We can now containerize our class file using the s2i utils to produce the `sklearn_iris` image:
 
 ```console
 s2i build . seldonio/seldon-core-s2i-python3:0.18 sklearn_iris:0.1
@@ -219,22 +218,19 @@ Below are some of the core components together with link to the logs that provid
 | <p><a href="https://docs.seldon.ai/seldon-core-1/configuration/integrations/analytics"><br>Standard and custom metrics with prometheus<br><br><img src="https://raw.githubusercontent.com/SeldonIO/seldon-core/master/doc/source/analytics/dashboard.png" alt=""></a></p>  | <p><a href="https://docs.seldon.ai/seldon-core-1/configuration/integrations/logging"><br>Full audit trails with ELK request logging<br><br><img src="https://raw.githubusercontent.com/SeldonIO/seldon-core/master/doc/source/images/kibana-custom-search.png" alt=""></a></p>                  |
 | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | <p><a href="https://docs.seldon.ai/seldon-core-1/configuration/integrations/explainers"><br>Explainers for Machine Learning Interpretability<br><br><img src="https://raw.githubusercontent.com/SeldonIO/seldon-core/master/doc/source/images/anchors.jpg" alt=""></a></p> | <p><a href="https://docs.seldon.ai/seldon-core-1/configuration/integrations/outlier_detection"><br>Outlier and Adversarial Detectors for Monitoring<br><br><img src="https://raw.githubusercontent.com/SeldonIO/seldon-core/master/doc/source/images/adversarial-attack.png" alt=""></a></p>    |
-| <p><a href="https://docs.seldon.ai/seldon-core-1/configuration/integrations/cicd-mlops"><br>CI/CD for MLOps at Massive Scale<br><br><img src="https://raw.githubusercontent.com/SeldonIO/seldon-core/master/doc/source/images/cicd-seldon.jpg" alt=""></a></p>             | <p><a href="https://docs.seldon.ai/seldon-core-1/configuration/integrations/distributed-tracing"><br>Distributed tracing for performance monitoring<br><br><img src="https://raw.githubusercontent.com/SeldonIO/seldon-core/master/doc/source/graph/jaeger-ui-rest-example.png" alt=""></a></p> |
 
 ## Where to go from here
 
 ### Getting Started
 
-* [Quickstart Guide](./#getting-started)
 * [Overview of Components](overview.md)
-* [Install Seldon Core on Kubernetes](../install/installation.md)
-* [Join the Community](developer/community.md)
+* [Install Seldon Core on Kubernetes](install/installation.md)
 
 ### Seldon Core Deep Dive
 
-* [Detailed Installation Parameters](https://docs.seldon.io/projects/seldon-core/en/latest/reference/helm.html)
+* [Detailed Installation Parameters](install/advanced-helm-chart-configuration.md)
 * [Pre-packaged Inference Servers](servers/overview.md)
-* [Language Wrappers for Custom Models](https://docs.seldon.io/projects/seldon-core/en/1.18/wrappers/language_wrappers.html)
+* [Language Wrappers for Custom Models](configuration/wrappers-and-sdks/README.md)
 * [Create your Inference Graph](routing/inference-graph.md)
 * [Deploy your Model](deployments/deploying.md)
 * [Testing your Model Endpoints](deployments/serving.md)
@@ -250,16 +246,21 @@ Below are some of the core components together with link to the logs that provid
 * [Tensorflow Serving](servers/tensorflow.md)
 * [XGBoost server](servers/xgboost.md)
 
-### Language Wrappers (Production)
+### Language Wrappers
 
-* [Python Language Wrapper \[Production\]](https://docs.seldon.io/projects/seldon-core/en/latest/python/index.html)
+#### Ready to use Wrappers
 
-### Language Wrappers (Incubating)
+* [Python Language Wrapper](configuration/wrappers-and-sdks/python-language-wrapper/README.md)
 
-* [Java Language Wrapper \[Incubating\]](wrappers/java.md)
-* [R Language Wrapper \[ALPHA\]](wrappers/r.md)
-* [NodeJS Language Wrapper \[ALPHA\]](wrappers/nodejs.md)
-* [Go Language Wrapper \[ALPHA\]](https://docs.seldon.io/projects/seldon-core/en/latest/go/go_wrapper_link.html)
+#### Other Examples 
+
+{% hint style="warning" %}
+Not suitable for production use - provided as examples only.
+{% endhint %}
+
+* [Java Language Wrapper](wrappers/java.md)
+* [R Language Wrapper](wrappers/r.md)
+* [NodeJS Language Wrapper](wrappers/nodejs.md)
 
 ### Ingress
 
@@ -292,22 +293,19 @@ Below are some of the core components together with link to the logs that provid
 * [Benchmarking](reference/benchmarking.md)
 * [General Availability](reference/ga.md)
 * [Helm Charts](reference/helm_charts.md)
-* [Images](https://docs.seldon.io/projects/seldon-core/en/latest/reference/images.html)
+* [Images](reference/images.md)
 * [Logging & Log Level](reference/log_level.md)
 * [Private Docker Registry](reference/private_registries.md)
-* [Prediction APIs](https://docs.seldon.io/projects/seldon-core/en/latest/reference/apis/index.html)
-* [Python API reference](https://docs.seldon.io/projects/seldon-core/en/latest/python/api/modules.html)
-* [Release Highlights](https://docs.seldon.io/projects/seldon-core/en/latest/reference/release-highlights.html)
-* [Seldon Deployment CRD ](reference/)(https://docs.seldon.io/projects/seldon-core/en/latest/reference/seldon-deployment.html)
+* [Prediction APIs](reference/prediction-apis/README.md)
+* [Release Highlights](reference/release-highlights/README.md)
+* [Seldon Deployment CRD ](reference/seldon-deployment-crd.md)
 * [Service Orchestrator](reference/svcorch.md)
 * [Kubeflow](reference/kubeflow.md)
 
 ### Developer
 
-* [Overview](developer/)
 * [Contributing to Seldon Core](developer/contributing.md)
 * [End to End Tests](developer/e2e.md)
-* [Roadmap](developer/roadmap.md)
 * [Build using private repo](developer/buid-using-private-repo.md)
 
 ## About the name "Seldon Core"
@@ -320,4 +318,4 @@ To learn more about our commercial offerings visit [https://www.seldon.io/](http
 
 ## License
 
-[License](LICENSE/)
+[License](./LICENSE.md)

docs-gb/SUMMARY.md

@@ -209,6 +209,7 @@
               spec: wrapper
         ```
 * [Release Highlights](reference/release-highlights/README.md)
+  * [Releases 1.8.0 and later](reference/release-highlights/later-releases.md)
   * [Release 1.7.0 Hightlights](reference/release-highlights/release-1.7.0.md)
   * [Release 1.6.0 Hightlights](reference/release-highlights/release-1.6.0.md)
   * [Release 1.5.0 Hightlights](reference/release-highlights/release-1.5.0.md)
@@ -224,13 +225,12 @@
 * [Seldon Deployment CRD](reference/seldon-deployment-crd.md)
 * [Service Orchestrator](reference/svcorch.md)
 * [Kubeflow](reference/kubeflow.md)
-* [Archived Docs](https://docs.seldon.io/projects/seldon-core/en/1.18/nav/archive.html)
+* [Archived Docs](https://github.com/SeldonIO/seldon-core/tree/v1.18.2/doc)
 
 ## Contributing
 
 * [Overview](developer/readme.md)
 * [Seldon Core Licensing](developer/contributing.md)
 * [End to End Tests](developer/e2e.md)
-* [Roadmap](developer/roadmap.md)
 * [Build using Private Repo](developer/buid-using-private-repo.md)
 * [Seldon Docs Home](https://docs.seldon.ai/home)

docs-gb/developer/community.md

@@ -1,36 +1,6 @@
 
 # Seldon Core Community
 
-## Slack Channel
-
-For any questions, as well as to keep up to date with any announcements please feel free to [join our Slack Channel through this link](https://join.slack.com/t/seldondev/shared_invite/zt-vejg6ttd-ksZiQs3O_HOtPQsen_labg).
-
-## Working Group Calls
-
-The Seldon Core team organises fornightly calls with the community to provide updates on current development, best practices and key findings such as tips on upgrading, backwards compatibility, etc.
-
-The community call is also a great opportunity for the community to ask questions as well as suggestions around Seldon Core.
-
-**Dates & times**
-
-The dates for the community call is on Thursday every 2 weeks at 16:00 UK Time.
-
-We always announce the community call in our Community Slack and social media so make sure you are able to join to stay up to date.
-
-**Joining the call**
-
-We use Zoom for the conference calls. Details can found:
-
- * [Working Group Agenda Document](https://docs.google.com/document/d/1gAmiJoD-1NHSr0gvDQBhYGR5ryrgWVWRu3nOOxPdKJk/edit?usp=sharing)
- * [Google Calendar](https://calendar.google.com/event?action=TEMPLATE&tmeid=MmpzaWliOTQxdjEzbmduMTkyaHF0MnBpcGZfMjAyMTExMDRUMTYwMDAwWiBzZWxkb24uaW9fbTRuMnZtcmZubDI3M3FsczVnYjlwNjVpMHNAZw&tmsrc=seldon.io_m4n2vmrfnl273qls5gb9p65i0s%40group.calendar.google.com&scp=ALL)
- * [iCal](https://calendar.google.com/calendar/ical/seldon.io_m4n2vmrfnl273qls5gb9p65i0s%40group.calendar.google.com/public/basic.ics)
-
-If you have any topics you would like to add or discuss, please feel free to add to the agenda point for the next meeting, or alternatively you can add an in-line comment.
-
 ## Meetup
 
 We organise a regular [MLOps Community Meetup](https://mlops.london/). The events are "hybrid"; feel free to attend in person if you're near to London or otherwise follow the [YouTube Channel](https://www.youtube.com/channel/UCSBfllj_pRPB36TAZJfjXWg).
-
-## X (formerly Twitter)
-
-Follow our [Seldon](https://x.com/seldon_io) account on X (formerly Twitter) for product releases and announcements. We also have [Seldon Research](https://x.com/SeldonResearch) for the latest in research around Drift/Outlier Detection and Explainability.

docs-gb/developer/roadmap.md

@@ -4,7 +4,7 @@
 
 This page provides a detailed overview of the installation parameters available for the Seldon Core installation when using Helm 3.x. The high level workflows to install Seldon Core can be found in the [Installation Page](../workflow/install.md).
 
-You can find the `values.yaml` file of the [seldon-core-operator Helm chart](https://github.com/SeldonIO/seldon-core/helm-charts/seldon-core-operator), which contains basically all the values that you can configure in your installation by using the `set` flag in the format `--set value.path=YOUR_VALUE`.
+You can find the `values.yaml` file of the [seldon-core-operator Helm chart](https://github.com/SeldonIO/seldon-core/tree/master/helm-charts/seldon-core-operator), which contains basically all the values that you can configure in your installation by using the `set` flag in the format `--set value.path=YOUR_VALUE`.
 
 The file has been written to be self documented, and has information on all the core parameters. Further information is referenced in the file to specific documentation pages.
 

docs-gb/install/advanced-helm-chart-configuration.md

@@ -1,20 +1,18 @@
 # Overview of Components
 
-Seldon core converts your ML models into production ready REST/gRPC microservices.
-
-These are Seldon Core main components:
+Seldon core converts your ML models into production ready REST/gRPC microservices. It comprises of several main components:
 
 * Reusable and non-reusable [model servers](overview.md#e2e-serving-with-model-servers)
 * [Language Wrappers](overview.md#language-wrappers) to containerise models
-* [SeldonDeployment](overview.md#seldondeployment-crd) CRD and [Seldon Core Operator](overview.md#seldon-core-operator)
+* [SeldonDeployment](overview.md#seldon-deployment-crd) CRD and [Seldon Core Operator](overview.md#seldon-core-operator)
 * [Service Orchestrator](overview.md#service-orchestrator) for advanced inference graphs
 
 as well as integration with third-party systems:
 
 * Kubernetes Ingress integration with [Ambassador](https://www.getambassador.io/) and [Istio](https://istio.io/)
 * [Metrics](overview.md#metrics-with-prometheus) with [Prometheus](https://prometheus.io/)
 * [Tracing](overview.md#distributed-tracing-with-jaeger) with [Jaeger](https://www.jaegertracing.io/)
-* [Endpoint Documentation](overview.md#endpoint-documentation) with [OpenApi](https://swagger.io/docs/specification/about/)
+* [Endpoint Documentation](reference/prediction-apis/prediction-open-api-spec/) with [OpenApi](https://swagger.io/docs/specification/about/)
 
 Keep reading to learn more!
 
@@ -47,12 +45,12 @@ With Seldon Core you can build two type of servers: reusable and non-reusable on
 
 Read more about our pre-packaged `Model Servers` on their dedicated documentation pages:
 
-* [MLflow Server](../servers/mlflow.html)
-* [SKLearn Server](../servers/sklearn.html)
-* [Tensorflow Server](../servers/tensorflow.html)
-* [XGBoost Server](../servers/xgboost.html)
+* [MLflow Server](servers/mlflow.md)
+* [SKLearn Server](servers/sklearn.md)
+* [Tensorflow Server](servers/tensorflow.md)
+* [XGBoost Server](servers/xgboost.md)
 
-Read how to build your own pre-packaged model server [here](../servers/custom.html).
+Read how to build your own pre-packaged model server [here](servers/custom.md).
 
 ## Language Wrappers
 
@@ -113,7 +111,7 @@ s2i build . seldonio/seldon-core-s2i-python<PYTHON VERSION>:<TAG> model:0.1
 
 to create ready to use Docker image.
 
-Read more about Python [Language Wrapper on its dedicated documentation page](../python/index.html).
+Read more about Python [Language Wrapper on its dedicated documentation page](wrappers/python/python_module.md).
 
 ## Seldon Deployment CRD
 
@@ -127,7 +125,7 @@ The manifest file that you write is very powerful yet simple. You can easily def
 
 You can think about the CRD as an abstraction around the actual deployment and services that are created in the cluster. Once the manifest is applied to the cluster, Seldon Core `Operator` creates all Kubernetes objects required to serve the inference requests.
 
-Read more about [Seldon Deployment CRD on its dedicated documentation page](../reference/seldon-deployment.html).
+Read more about [Seldon Deployment CRD on its dedicated documentation page](reference/seldon-deployment-crd.md).
 
 ## Seldon Core Operator
 
@@ -157,7 +155,7 @@ It is because of the presence of `Service Orchestrator` that complex graph compo
 
 to just name a few.
 
-Read more about [Service Orchestrator on its dedicated documentation page](../graph/svcorch.html).
+Read more about [Service Orchestrator on its dedicated documentation page](reference/svcorch.md).
 
 ## Metadata Provenance
 
@@ -167,23 +165,23 @@ These allow you to make connection to the platform you trained your model with (
 
 ![](.gitbook/assets/metadata.svg)
 
-Read more about [metadata provenance on its dedicated documentation page](../reference/apis/metadata.html).
+Read more about [metadata provenance on its dedicated documentation page](deployments/metadata.md).
 
 ## Metrics with Prometheus
 
 Metrics is important aspect of serving ML inference models in production. Out of the box Seldon Core deployments expose standard metrics to [Prometheus](https://prometheus.io/) on the `Service Orchestrator`.
 
 ![](.gitbook/assets/metrics.png)
 
-Read more about [metrics on its dedicated documentation page](../analytics/analytics.html).
+Read more about [metrics on its dedicated documentation page](integrations/analytics.md).
 
 ## Distributed Tracing with Jaeger
 
 By default, we support [Jaeger](https://www.jaegertracing.io/) for Distributed Tracing.
 
 ![](.gitbook/assets/tracing.svg)
 
-Read more about [tracing on its dedicated documentation page](../graph/distributed-tracing.html).
+Read more about [tracing on its dedicated documentation page](integrations/distributed-tracing.md).
 
 ## So.... Why just not wrap my model with Flask?