chore(release): v2.9.53 - fix Nutanix logo visibility in dark mode

This commit is contained in:
Inaki Fernandez
2026-06-25 11:41:58 +02:00
5 changed files with 21 additions and 19 deletions

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@@ -140,9 +140,9 @@ Additionally, as of May 2026, Nubenetes has reached the **Platinum Operational T
<!-- HEART_STATS_START -->
| Metric | Value |
| :--- | :--- |
| **Total Technical Resources (Links)** | **18649+** |
| **Total Technical Resources (Links)** | **18655+** |
| **Specialized MD Pages** | **162** |
| **Total Commits** | **6483+** |
| **Total Commits** | **6491+** |
| **Primary AI Engine** | **Google Gemini (Agentic)** |
<!-- HEART_STATS_END -->
@@ -180,7 +180,7 @@ The growth of Nubenetes reflects the acceleration of the Cloud Native ecosystem.
| 6 | 2023 | 30 | 123 | Maintenance & Refinement |
| 7 | 2024 | 53 | 218 | Curation Strategy Pivot |
| 8 | 2025 | 5 | 20 | Stability & Research Phase |
| 9 | 2026 | 2924 | 12,076 | **Agentic AI Surge** (May 2026 Inception) |
| 9 | 2026 | 2932 | 12,109 | **Agentic AI Surge** (May 2026 Inception) |
<!-- ANNUAL_GROWTH_END -->
<!-- ANNUAL_CHART_START -->
@@ -196,8 +196,8 @@ xychart-beta
title "Nubenetes Annual Growth Metrics (20182026)"
x-axis ["2018", "2019", "2020", "2021", "2022", "2023", "2024", "2025", "2026"]
y-axis "Volume (Commits / Estimated New Refs)" 0 --> 13000
bar [1445, 586, 8449, 2193, 1660, 123, 218, 20, 12076]
bar [350, 142, 2046, 531, 402, 30, 53, 5, 2924]
bar [1445, 586, 8449, 2193, 1660, 123, 218, 20, 12109]
bar [350, 142, 2046, 531, 402, 30, 53, 5, 2932]
```
<!-- ANNUAL_CHART_END -->
@@ -207,7 +207,7 @@ xychart-beta
| :--- | :---: | :---: | :--- |
| 2026-04 | 25 | 103 | Active Curation |
| 2026-05 | 2101 | 8,677 | **Agentic Inception (Gemini Era)** |
| 2026-06 | 798 | 3,295 | Active Curation |
| 2026-06 | 806 | 3,328 | Active Curation |
<!-- MONTHLY_SURGE_END -->
### 2.4. Content Distribution and Semantic Clustering
@@ -220,7 +220,7 @@ This chart shows the high-level distribution across the primary domains of Cloud
<!-- PILLAR_CHART_START -->
```mermaid
pie title Nubenetes Major Ecosystem Pillars
"Specialized Topics" : 4249
"Specialized Topics" : 4255
"Kubernetes Ecosystem" : 3500
"Developer Ecosystem" : 3000
"Public/Private Cloud" : 2500
@@ -241,8 +241,8 @@ Reflecting Nubenetes' mission of global access while maintaining technical Engli
<!-- SUB_ECO_CHART_START -->
```mermaid
pie title Linguistic Diversity (Global Access)
"English" : 16784
"Spanish" : 1118
"English" : 16789
"Spanish" : 1119
"French" : 186
"Others" : 559
```

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@@ -7440,6 +7440,6 @@
"method": "fallback_small"
}
},
"last_updated": "2026-06-25T10:51:08.174431+02:00"
"last_updated": "2026-06-25T11:31:14.005435+02:00"
}
}

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@@ -334,6 +334,14 @@ a {
border-radius: 4px;
}
/* Dark-logo fix: invert black-on-transparent logos so they remain visible in dark mode */
[data-md-color-scheme="slate"] img[src*="nutanix_logo"] {
filter: invert(1);
}
[data-md-color-scheme="slate"] img[src*="nutanix_logo"]:hover {
filter: invert(1) brightness(1.25);
}
/* V2 Homepage Hero Dashboard Cards */
.hero-badge-card {
flex: 1;

File diff suppressed because one or more lines are too long

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@@ -28,10 +28,6 @@ description: "Top MLOps resources for 2026, AI-ranked: kubeflow, Ray and more
- **(2022)** [bea.stollnitz.com: Creating batch endpoints in Azure ML](https://bea.stollnitz.com/blog/aml-batch-endpoint) <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> 🌟🌟🌟 <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — Demystifies Azure ML batch endpoint configurations, highlighting the differences between batch and low-latency real-time managed endpoints. Covers execution environments, partition configurations, storage connections, and scaling parameters needed to serve heavy computational batch datasets efficiently.
- **(2021)** [youtube: Deploy Convolutional Neural Network (CNN) on Azure with Python | Deep Learning Deployment | MLOPS](https://www.youtube.com/watch?v=6sqGxVI3X1w) <span class='md-tag md-tag--warning'>[PYTHON CONTENT]</span> 🌟🌟🌟 <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span> — A practical video tutorial showing step-by-step preparation, containerization, and hosting of a Convolutional Neural Network (CNN) on Azure container endpoints. Demonstrates writing score scripts, declaring environment dependencies, and triggering predictions via REST APIs.
### Red Hat
- **(2024)** [**redhat.com: Bring Your Own Knowledge — Automation Intelligent Assistant (RAG)**](https://www.redhat.com/en/blog/bring-your-own-knowledge-automation-intelligent-assistant) <span class='md-tag md-tag--success'>[ENTERPRISE-STABLE]</span> 🌟🌟🌟🌟 — Enterprise guide to building knowledge-augmented AI assistants using Retrieval-Augmented Generation (RAG). Covers ingestion pipelines, vector store integration, and prompt engineering patterns for grounding LLM responses in private enterprise data, applicable to Kubernetes and cloud-native environments.
### Flyte Managed
- **(2024)** [**Union Cloud**](https://www.union.ai) <span class='md-tag md-tag--warning'>[NONE CONTENT]</span> <span class='md-tag md-tag--critical'>[ADVANCED LEVEL]</span> 🌟🌟🌟🌟 <span class='md-tag md-tag--success'>[ENTERPRISE-STABLE]</span> — A managed enterprise platform powered by Flyte, designed to orchestrate complex machine learning and data engineering workloads. It delivers serverless operational abstraction, dynamic scaling, robust isolation structures, and unified lineage tracing across multi-cloud environments.