saidsef/flan-t5-small-tuned-tech-docs
Text Generation • 77M • Updated • 1 • 1
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argocd Release Assets Asset Description Verification of Argo CD Artifacts Prerequisites crane for container verification only cosign or higher slsa verifier | # Verification of Argo CD Artifacts
## Prerequisites
- cosign `v2.0.0` or higher [installation instructions](https://docs.sigstore.dev/cosign/installation)
- slsa-verifier [installation instructions](https://github.com/slsa-framework/slsa-verifier#installation)
- crane [installation instructions](https://github.com/go... | argocd | Verification of Argo CD Artifacts Prerequisites cosign v2 0 0 or higher installation instructions https docs sigstore dev cosign installation slsa verifier installation instructions https github com slsa framework slsa verifier installation crane installation instructions https github com go... |
argocd operations and the API TLS configuration The user facing endpoint of the workload which serves the UI The endpoint of the which is accessed by Argo CD provides three inbound TLS endpoints that can be configured and workloads to request repository | # TLS configuration
Argo CD provides three inbound TLS endpoints that can be configured:
* The user-facing endpoint of the `argocd-server` workload which serves the UI
and the API
* The endpoint of the `argocd-repo-server`, which is accessed by `argocd-server`
and `argocd-application-controller` workloads to requ... | argocd | TLS configuration Argo CD provides three inbound TLS endpoints that can be configured The user facing endpoint of the argocd server workload which serves the UI and the API The endpoint of the argocd repo server which is accessed by argocd server and argocd application controller workloads to requ... |
argocd Operators can add actions to custom resources in form of a Lua script and expand those capabilities Built in Actions Argo CD allows operators to define custom actions which users can perform on specific resource types This is used internally to provide actions like for a or for an Argo Rollout The following are ... | # Resource Actions
## Overview
Argo CD allows operators to define custom actions which users can perform on specific resource types. This is used internally to provide actions like `restart` for a `DaemonSet`, or `retry` for an Argo Rollout.
Operators can add actions to custom resources in form of a Lua script and ex... | argocd | Resource Actions Overview Argo CD allows operators to define custom actions which users can perform on specific resource types This is used internally to provide actions like restart for a DaemonSet or retry for an Argo Rollout Operators can add actions to custom resources in form of a Lua script and ex... |
argocd For untracked resources you can By default an Argo CD Application is refreshed every time a resource that belongs to it changes When a resource update is ignored if the resource s does not change the Application that this resource belongs to will not be reconciled for Reconcile Optimization and a high CPU usage ... | # Reconcile Optimization
By default, an Argo CD Application is refreshed every time a resource that belongs to it changes.
Kubernetes controllers often update the resources they watch periodically, causing continuous reconcile operation on the Application
and a high CPU usage on the `argocd-application-controller`. A... | argocd | Reconcile Optimization By default an Argo CD Application is refreshed every time a resource that belongs to it changes Kubernetes controllers often update the resources they watch periodically causing continuous reconcile operation on the Application and a high CPU usage on the argocd application controller A... |
argocd NOTE The HA installation will require at least three different nodes due to pod anti affinity roles in the specs Additionally IPv6 only clusters are not supported Scaling Up High Availability A set of are provided for users who wish to run Argo CD in a highly available manner This runs more containers and runs R... | # High Availability
Argo CD is largely stateless. All data is persisted as Kubernetes objects, which in turn is stored in Kubernetes' etcd. Redis is only used as a throw-away cache and can be lost. When lost, it will be rebuilt without loss of service.
A set of [HA manifests](https://github.com/argoproj/argo-cd/tree/... | argocd | High Availability Argo CD is largely stateless All data is persisted as Kubernetes objects which in turn is stored in Kubernetes etcd Redis is only used as a throw away cache and can be lost When lost it will be rebuilt without loss of service A set of HA manifests https github com argoproj argo cd tree ... |
argocd note Git webhook notifications from GitHub GitLab Bitbucket Bitbucket Server Azure DevOps and Gogs The following explains how to configure this delay from polling the API server can be configured to receive webhook events Argo CD supports Overview Git Webhook Configuration Argo CD polls Git repositories every th... | # Git Webhook Configuration
## Overview
Argo CD polls Git repositories every three minutes to detect changes to the manifests. To eliminate
this delay from polling, the API server can be configured to receive webhook events. Argo CD supports
Git webhook notifications from GitHub, GitLab, Bitbucket, Bitbucket Server, ... | argocd | Git Webhook Configuration Overview Argo CD polls Git repositories every three minutes to detect changes to the manifests To eliminate this delay from polling the API server can be configured to receive webhook events Argo CD supports Git webhook notifications from GitHub GitLab Bitbucket Bitbucket Server ... |
"argocd Argo CD applications projects and settings can be defined declaratively using Kubernetes man(...TRUNCATED) | "# Declarative Setup\n\nArgo CD applications, projects and settings can be defined declaratively usi(...TRUNCATED) | argocd | " Declarative Setup Argo CD applications projects and settings can be defined declaratively using(...TRUNCATED) |
"argocd Config Management Plugins a Config Management Plugin CMP Argo CD s native config management (...TRUNCATED) | "\n# Config Management Plugins\n\nArgo CD's \"native\" config management tools are Helm, Jsonnet, an(...TRUNCATED) | argocd | " Config Management Plugins Argo CD s native config management tools are Helm Jsonnet and Kus(...TRUNCATED) |
"argocd Metrics Application Controller Metrics gauge Information about Applications It contains labe(...TRUNCATED) | "# Metrics\n\nArgo CD exposes different sets of Prometheus metrics per server.\n\n## Application Con(...TRUNCATED) | argocd | " Metrics Argo CD exposes different sets of Prometheus metrics per server Application Control(...TRUNCATED) |
"argocd The following groups of features won t be available in this engine capable of getting the de(...TRUNCATED) | "# Argo CD Core\n\n## Introduction\n\nArgo CD Core is a different installation that runs Argo CD in (...TRUNCATED) | argocd | " Argo CD Core Introduction Argo CD Core is a different installation that runs Argo CD in head(...TRUNCATED) |
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Technical Documentation Dataset
A curated collection of technical documentation and guides spanning various cloud-native technologies, infrastructure tools, and machine learning frameworks. This dataset contains 1,397 documents in JSONL format, covering essential topics for modern software development and DevOps practices.
Dataset Overview
This dataset includes documentation across multiple domains:
- Cloud Platforms: GCP (83 docs), EKS (33 docs)
- Kubernetes Ecosystem: Kubernetes reference (251 docs), ArgoCD (60 docs), Cilium (33 docs)
- Infrastructure as Code: Terraform (151 docs)
- Observability: Prometheus (32 docs), Grafana (43 docs)
- Service Mesh: Istio (33 docs)
- Machine Learning: scikit-learn (55 docs)
- And more: Including Docker, Redis, Linux, and various Kubernetes-related tools
Format
Each document is stored in JSONL format, making it easy to process and integrate into various applications. The dataset is hosted on Hugging Face for convenient access and version control.
Usage
This collection is particularly useful for:
- Technical documentation systems
- Knowledge bases
- Search implementations
- Training documentation-related ML models
You can access and download the dataset directly from the Hugging Face repository using standard tools and libraries.
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