From d620d9398cbcdcc04b0f8f3bca230352953dd1d0 Mon Sep 17 00:00:00 2001 From: Nubenetes Bot Date: Sat, 11 Jul 2026 14:16:50 +0000 Subject: [PATCH 1/2] docs: automated README metric synchronization [skip ci] --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 16236e4b..0e43f5f4 100644 --- a/README.md +++ b/README.md @@ -142,7 +142,7 @@ Additionally, as of May 2026, Nubenetes has reached the **Platinum Operational T | :--- | :--- | | **Total Technical Resources (Links)** | **18657+** | | **Specialized MD Pages** | **162** | -| **Total Commits** | **6596+** | +| **Total Commits** | **6599+** | | **Primary AI Engine** | **Google Gemini (Agentic)** | @@ -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 | 3037 | 12,542 | **Agentic AI Surge** (May 2026 Inception) | +| 9 | 2026 | 3040 | 12,555 | **Agentic AI Surge** (May 2026 Inception) | @@ -196,8 +196,8 @@ xychart-beta title "Nubenetes Annual Growth Metrics (2018–2026)" 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, 12542] - bar [350, 142, 2046, 531, 402, 30, 53, 5, 3037] + bar [1445, 586, 8449, 2193, 1660, 123, 218, 20, 12555] + bar [350, 142, 2046, 531, 402, 30, 53, 5, 3040] ``` @@ -208,7 +208,7 @@ xychart-beta | 2026-04 | 25 | 103 | Active Curation | | 2026-05 | 2101 | 8,677 | **Agentic Inception (Gemini Era)** | | 2026-06 | 849 | 3,506 | Active Curation | -| 2026-07 | 62 | 256 | Active Curation | +| 2026-07 | 65 | 268 | Active Curation | ### 2.4. Content Distribution and Semantic Clustering From 138bc28e874689b3905f8d4e7745cc1ed63f2fb4 Mon Sep 17 00:00:00 2001 From: Inaki Fernandez Date: Sat, 11 Jul 2026 16:24:49 +0200 Subject: [PATCH 2/2] feat: link admonition headers to their respective primary sources in V2 --- src/v2_optimizer.py | 8 ++++---- v2-docs/jenkins.md | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/src/v2_optimizer.py b/src/v2_optimizer.py index fbe3799d..10c703c4 100644 --- a/src/v2_optimizer.py +++ b/src/v2_optimizer.py @@ -1773,16 +1773,16 @@ class V2VisionEngine: _body = _body.replace("### Configuration as Code\n\n", f"### Configuration as Code\n{dsl_injection}\n") pipeline_code_injection = """ -!!! info "Pipeline as Code with Jenkins: Architectural Core Principles" +!!! info "[Pipeline as Code with Jenkins: Architectural Core Principles](https://www.jenkins.io/solutions/pipeline)" As defined in the official [Jenkins Pipeline Book](https://www.jenkins.io/doc/book/pipeline), Jenkins is fundamentally an automation engine that supports diverse delivery patterns. Modeling your delivery workflow as a **Pipeline** adds a powerful set of automation capabilities: * **Code**: Pipelines are implemented directly in code (usually a `Jenkinsfile`) and checked into version control, enabling peer code reviews and auditability. * **Durable**: Pipelines are built to survive both planned and unplanned restarts of the Jenkins controller. * **Pausable**: Pipelines can pause execution to wait for human approval or input before proceeding to deployment. * **Versatile**: They naturally support complex real-world CD topologies, including parallel execution, looping, and fork/join patterns. - * **Extensible**: The Pipeline DSL supports custom extensions (e.g., Shared Libraries) and integrations with external plugins. + * **Extensible**: The Pipeline [DSL](https://en.wikipedia.org/wiki/Domain-specific_language) supports custom extensions (e.g., Shared Libraries) and integrations with external plugins. -!!! info "Jenkins Pipeline Best Practices: Declarative, Scripted, and Shared Libraries" +!!! info "[Jenkins Pipeline Best Practices: Declarative, Scripted, and Shared Libraries](https://www.cloudbees.com/blog/top-10-best-practices-jenkins-pipeline-plugin)" Based on CloudBees' strategic guide: [Top 10 Jenkins Pipeline Best Practices](https://www.cloudbees.com/blog/top-10-best-practices-jenkins-pipeline-plugin): * **Prefer Declarative Syntax**: Declarative syntax (introduced in 2017) is the modern standard. Many advanced features—such as matrix builds—are exclusively available in Declarative. Avoid legacy Scripted syntax (2014) unless absolutely necessary. @@ -1792,7 +1792,7 @@ class V2VisionEngine: * **Declarative inside Shared Libraries**: **Shared-libraries with scripted pipeline syntax are not recommended** since more custom coding involves more maintenance issues. Use **Declarative Pipeline Syntax** as much as possible inside your libraries. -!!! info "Building Declarative Pipelines with OpenShift: Jenkinsfile as Code and Syntax Structures" +!!! info "[Building Declarative Pipelines with OpenShift: Jenkinsfile as Code and Syntax Structures](https://www.redhat.com/en/blog/building-declarative-pipelines-openshift-dsl-plugin)" As detailed in Red Hat's engineering guide: [Building Declarative Pipelines with OpenShift DSL Plugin](https://www.redhat.com/en/blog/building-declarative-pipelines-openshift-dsl-plugin): * **Jenkinsfiles as the De-Facto Standard**: Since Jenkins 2, Jenkinsfiles have quickly become the **de-facto standard for building continuous delivery pipelines**, allowing teams to track, review, audit, and manage the pipeline lifecycle inside source version control just like application code. diff --git a/v2-docs/jenkins.md b/v2-docs/jenkins.md index 0e293cbf..233a2ebd 100644 --- a/v2-docs/jenkins.md +++ b/v2-docs/jenkins.md @@ -77,16 +77,16 @@ description: "Top Jenkins resources for 2026, AI-ranked: Jenkinsfile Runner, Exa - **(2020)** [cloudbees.com: Troubleshooting Jenkins Performance: Kubernetes Edition - Part 1 (2020) 🌟](https://www.cloudbees.com/blog/apm-tools-jenkins-performance) [NONE CONTENT] [ADVANCED LEVEL] [COMMUNITY-TOOL] — Part one of an engineering diagnostic series for hunting down master slowdowns in Kubernetes clusters. Focuses on setting up proper application performance monitoring and resolving severe disk-level I/O latency blocks. ## CICD Pipeline Architecture -!!! info "Pipeline as Code with Jenkins: Architectural Core Principles" +!!! info "[Pipeline as Code with Jenkins: Architectural Core Principles](https://www.jenkins.io/solutions/pipeline)" As defined in the official [Jenkins Pipeline Book](https://www.jenkins.io/doc/book/pipeline), Jenkins is fundamentally an automation engine that supports diverse delivery patterns. Modeling your delivery workflow as a **Pipeline** adds a powerful set of automation capabilities: * **Code**: Pipelines are implemented directly in code (usually a `Jenkinsfile`) and checked into version control, enabling peer code reviews and auditability. * **Durable**: Pipelines are built to survive both planned and unplanned restarts of the Jenkins controller. * **Pausable**: Pipelines can pause execution to wait for human approval or input before proceeding to deployment. * **Versatile**: They naturally support complex real-world CD topologies, including parallel execution, looping, and fork/join patterns. - * **Extensible**: The Pipeline DSL supports custom extensions (e.g., Shared Libraries) and integrations with external plugins. + * **Extensible**: The Pipeline [DSL](https://en.wikipedia.org/wiki/Domain-specific_language) supports custom extensions (e.g., Shared Libraries) and integrations with external plugins. -!!! info "Jenkins Pipeline Best Practices: Declarative, Scripted, and Shared Libraries" +!!! info "[Jenkins Pipeline Best Practices: Declarative, Scripted, and Shared Libraries](https://www.cloudbees.com/blog/top-10-best-practices-jenkins-pipeline-plugin)" Based on CloudBees' strategic guide: [Top 10 Jenkins Pipeline Best Practices](https://www.cloudbees.com/blog/top-10-best-practices-jenkins-pipeline-plugin): * **Prefer Declarative Syntax**: Declarative syntax (introduced in 2017) is the modern standard. Many advanced features—such as matrix builds—are exclusively available in Declarative. Avoid legacy Scripted syntax (2014) unless absolutely necessary. @@ -96,7 +96,7 @@ description: "Top Jenkins resources for 2026, AI-ranked: Jenkinsfile Runner, Exa * **Declarative inside Shared Libraries**: **Shared-libraries with scripted pipeline syntax are not recommended** since more custom coding involves more maintenance issues. Use **Declarative Pipeline Syntax** as much as possible inside your libraries. -!!! info "Building Declarative Pipelines with OpenShift: Jenkinsfile as Code and Syntax Structures" +!!! info "[Building Declarative Pipelines with OpenShift: Jenkinsfile as Code and Syntax Structures](https://www.redhat.com/en/blog/building-declarative-pipelines-openshift-dsl-plugin)" As detailed in Red Hat's engineering guide: [Building Declarative Pipelines with OpenShift DSL Plugin](https://www.redhat.com/en/blog/building-declarative-pipelines-openshift-dsl-plugin): * **Jenkinsfiles as the De-Facto Standard**: Since Jenkins 2, Jenkinsfiles have quickly become the **de-facto standard for building continuous delivery pipelines**, allowing teams to track, review, audit, and manage the pipeline lifecycle inside source version control just like application code.