Add Kubeflow Ecosystem documentation with lifecycle mapping and architecture diagrams

KUBEFLOW_ECOSYSTEM_OVERVIEW.md

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+# Kubeflow Ecosystem: A Versatile & Flexible AI Platform
+
+The **Kubeflow Ecosystem** provides a modular, scalable, and extensible approach to building AI platforms on Kubernetes.
+
+---
+
+## 1. Kubeflow Ecosystem Diagram
+
+**A. ASCII Overview**
+
+```
++-------------------------------------------------------------------------------+
+|                             Kubernetes Cluster                                |
+|   +----------------------  Kubeflow Central Dashboard   -------------------+   |
+|   |        +-----------------------------------------+                   |   |
+|   |        |            Kubeflow Ecosystem           |                   |   |
+|   |        | +------------+   +---------+   +------+ |                   |   |
+|   |        | | Notebooks  |   | Pipelines|   |KServe| | ...               |   |
+|   |        | +------------+   +---------+   +------+ |                   |   |
+|   |        +-----------------------------------------+                   |   |
+|   +--------------------------------------------------------------------+   |
++----------------------------------------------------------------------------+
+```
+**B. Image Reference**
+
+![Kubeflow Ecosystem Diagram](https://www.kubeflow.org/docs/images/architecture.svg)
+
+---
+
+## 2. AI Lifecycle Stages
+
+**A. ASCII Diagram**
+
+```
+[Raw Data]
+     |
+     v
+[Data Preparation]
+     |
+     v
+[Model Development]
+     |
+     v
+[Model Training]
+     |
+     v
+[Model Optimization]
+     |
+     v
+[Model Registry]
+     |
+     v
+[Model Serving & Monitoring]
+```
+
+**B. Phases**
+
+```
+|-- Development ---------------------||---- Production ---------|
+       (preparation, dev, training)      (registry, serving)
+```
+
+**C. Image Reference**
+
+![AI Lifecycle Stages](https://raw.githubusercontent.com/kubeflow/website/master/content/en/docs/images/ai-lifecycle-stages.png)
+
+---
+
+## 3. Kubeflow Projects Across the AI Lifecycle
+
+**A. Mapping Table**
+
+| Lifecycle Stage     | Kubeflow Project(s)                             |
+|---------------------|-------------------------------------------------|
+| Data Preparation    | Spark Operator, Feast                           |
+| Model Development   | Notebooks                                       |
+| Model Training      | Trainer                                         |
+| Model Optimization  | Katib, Model Registry                           |
+| Model Registry      | Model Registry                                  |
+| Model Serving       | KServe, Feast                                   |
+| Orchestration       | Pipelines                                       |
+
+**B. ASCII Mapping**
+
+```
+          +------------------+
+          |   Data Prep      |---[Spark, Feast]
+          +------------------+
+                    |
+          +------------------+
+          |  Development     |---[Notebooks]
+          +------------------+
+                    |
+          +------------------+
+          |    Training      |---[Trainer]
+          +------------------+
+                    |
+          +------------------+
+          |   Optimization   |---[Katib, Registry]
+          +------------------+
+                    |
+          +------------------+
+          |    Serving       |---[KServe, Feast]
+          +------------------+
+                    |
+          +------------------+
+          |  Orchestration   |---[Pipelines]
+          +------------------+
+```
+
+**C. Image Reference**
+
+![Kubeflow Projects in AI Lifecycle](https://raw.githubusercontent.com/kubeflow/website/master/content/en/docs/images/projects-in-lifecycle.png)
+
+---
+
+## 4. Kubeflow Dashboard Example
+
+**A. Image Placeholder**
+
+![Kubeflow Central Dashboard](https://www.kubeflow.org/docs/images/central-dashboard.png)
+*Replace with actual screenshot from your installation as needed.*
+
+---
+
+## 5. Interfaces and Extensibility
+
+Access Kubeflow via:
+
+- **Central Dashboard (web UI)**
+- **Python SDKs:**  
+  - [Pipelines SDK](https://www.kubeflow.org/docs/components/pipelines/v2/sdk/)
+  - [Trainer SDK](https://github.com/kubeflow/training-operator/tree/master/sdk/python)
+  - [Katib SDK](https://www.kubeflow.org/docs/components/katib/sdk/)
+  - [KServe SDK](https://kserve.github.io/website/)
+  - [Feast SDK](https://docs.feast.dev/reference/python-sdk/)
+
+---
+
+## 6. Extensibility Diagram (ASCII)
+
+```
+           +---------+     +----------+    +-----------+
+           |  Feast  |<--->| Pipelines|<-->| Katib     |
+           +---------+     +----------+    +-----------+
+                |                |               |
+           +-----------+    +--------+    +-------------+
+           |  Notebooks|    |Trainer |    |   KServe    |
+           +-----------+    +--------+    +-------------+
+                                |
+                          +----------------+
+                          |  Model Registry |
+                          +----------------+
+```
+---
+
+## 7. Resources & References
+
+- [Kubeflow Official Documentation](https://www.kubeflow.org/docs/)
+- [Architecture diagrams](https://www.kubeflow.org/docs/started/architecture/)
+- [Kubeflow AI lifecycle](https://www.kubeflow.org/docs/about/lifecycle/)
+- [Kubeflow GitHub Organization](https://github.com/kubeflow)
+- [KServe (Model Serving)](https://kserve.github.io/website/)
+- [Feast Feature Store](https://docs.feast.dev/)
+
+---
+
+> *Kubeflow's modular ecosystem is purpose-built for flexibility, empowering teams to adopt, customize, and extend AI workflows at scale.*