neon-diana-utils 0.0.6a11

Utilities for administration of Neon DIANA

Neon Diana

Device Independent API for Neon Applications (Diana) is a collection of microservices that provide various functionality to NeonAI systems. All services are implemented as standalone Docker containers.

Install the Diana utilities Python package with: pip install neon-diana-utils The diana entrypoint is available to handle automated setup and some common administration tasks. You can see get detailed help via diana --help.

Backend

The Neon Backend is a collection of services that are provided to client applications. Some backend services connect via a RabbitMQ server, while others are served via HTTP.

Prerequisites

• python3 is required to install neon-diana-utils
• kubectl and helm are needed to apply the generated configurations

Configure Backend with diana

A Diana backend can be configured automatically with diana configure-backend. A standard example is included here, but a description of config options is available via: diana configure-backend --help.

diana configure-mq-backend ~/neon_diana

• ~/neon_diana specifies the output path for configuration files

The above command will generate Helm charts and configuraiton files in ~/neon_diana/diana-backend. For Docker deployment, the diana.yaml and rabbitmq.json files from this directory can be used.

Legacy Documentation

The below documentation is mostly applicable to Docker deployment of the Diana backend and is no longer fully-supported. Documentation is retained here for reference.

Orchestrator Configuration

The following sections describe how to initialize a standard backend with Docker or Kubernetes.

Docker Compose

For testing or running on a dedicated host, Docker Compose offers a simple method for starting a set of services. This deployment assumes all services will run a single instance on a shared host with any configuration or other files saved to the host filesystem or a configured NFS share. The configuration files generated earlier are all that is necessary to start the backend with Docker Compose

Running Configured Backend Services

After a backend is configured, it can be started with diana start-backend. A standard example is included here, but a description of config options is available via: diana start-backend --help.

Note: If running private containers, you will need to authenticate with Docker. Documentation is available from docker. Containers from NeonGecko are published to the ghcr.io server

diana start-backend ~/neon_diana

• ~/neon_diana specifies the path to backend configuration

Stopping a Running Backend

After a backend is started, it can be stopped with diana stop-backend. A standard example is included here, but a description of config options is available via: diana stop-backend --help.

diana stop-backend ~/neon_diana

• ~/neon_diana specifies the path to backend configuration

Kubernetes

For deployment, Kubernetes provides a managed solution that can handle scaling, rolling updates, and other benefits. This deployment assumes you have an existing cluster; it is assumed that the Cluster or system administrator will manage creation of PersistentVolume and LoadBalancer objects as necessary.

Cluster Preparation

The config generation in this project assumes your cluster has the NGINX Ingress Controller deployed. Installation instructions are available from Kubernetes.

The ingress-nginx-controller service should have External Endpoints exposed. If you are deploying locally, you may use MetalLB to configure a LoadBalancer.

The Kubernets Cluser References section below contains references to documentation and guides used to configure a cluster.

Providing GitHub Image Pull Secrets

For private container images, you will need to specify GitHub credentials. Documentation for creating GitHub Personal Access Tokens can be found in the GitHub docs. The configured token must have the permission: read:packages.

diana make-api-secrets -u <github_username> -t <github_pat> ~/neon_diana

Providing Backend Service Credentials

Kubernetes uses secrets to store sensitive data in a cluster. Generate a Kubernetes secret spec with ngi_auth_vars.yml (k8s_secret_ngi-auth.yml).

diana make-api-secrets -p ~/.config/neon ~/neon_diana

• -p specifies the path to the directory containing ngi_auth_vars.yml
• ~/neon_diana specifies the output path for configuration files

Defining Ingress

TCP Services

diana includes cli utilities for generating ingress definitions for non-http services. In general, ingress definitions will be created or updated when relevant backend services are configured, but the diana add-tcp-service entrypoint is also available to define these manually. Note that adding configuration will modify existing spec files in the configured path.

HTTP Services

diana includes cli utilities for generating ingress rules for http services when using ingress-nginx. It is assumed that the ingress-nginx and cert-manager namespaced services are deployed as described below and that A Records are defined for all configured subdomains.

HTTP Ingress is namespaced, so the configurations generated here must be applied to the same namespace as the HTTP Services they forward to. The commands in this guide will assume everything is in the "default" namespace unless otherwise specified.

# Create a certificate issuer (must be deployed to each namespace)
diana make-cert-issuer -e <email_address> ~/neon_diana

# Update an Ingress configuration for every HTTP service
diana add-ingress -s <service_name> -p <service_http_port> -h <url_for_service> ~/neon_diana

Applying Configuration to a Cluster

kubectl should be configured to reference the Kubernetes cluster you are deploying to. If you are accessing private repositories, you will also need to configure the secret github-auth. Documentation can be found in the Kubernetes docs.

# Apply configuration and secrets
kubectl apply -f ~/neon_diana/config/k8s_secret_mq-config.yml -f ~/neon_diana/config/k8s_config_rabbitmq.yml -f ~/neon_diana/k8s_secret_ngi-auth.yml

# If using ingress-nginx, apply those configurations
kubectl apply -f ~/neon_diana/ingress/k8s_config_tcp_services.yml
kubectl patch -n ingress-nginx service ingress-nginx-controller --patch-file ~/neon_diana/ingress/k8s_patch_nginx_service.yml

# If using HTTP services, apply ingress rules
kubectl apply -f ~/neon_diana/ingress/k8s_config_cert_issuer.yml -f ~/neon_diana/ingress/k8s_config_ingress.yml

# If using private images
kubectl apply -f ~/neon_diana/k8s_secret_github.yml

# Start backend services
kubectl apply -f ~/neon_diana/services/k8s_diana_backend.yml

Kubernetes Cluster References

The following configurations were used at the time of writing this document:

• ingress-nginx
• cert-manager

These guides also may be useful for configuration that isn't handled in this repository:

• NGINX Ingress Controller
• cert-manager
• MetalLB
• GitHub Token Auth

Certbot SSL

The definition below can be used to configure LetsEncrypt

apiVersion: cert-manager.io/v1
kind: Issuer
metadata:
  name: letsencrypt-prod
spec:
  acme:
    # The ACME server URL
    server: https://acme-v02.api.letsencrypt.org/directory
    # Email address used for ACME registration
    email: ${CERT_EMAIL}
    # Name of a secret used to store the ACME account private key
    privateKeySecretRef:
      name: letsencrypt-prod
    # Enable the HTTP-01 challenge provider
    solvers:
    - http01:
        ingress:
          class: nginx

Ingress Definitions

The definition below can be used to configure ingress

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: ingress-backend
  annotations:
    cert-manager.io/issuer: "letsencrypt-prod"
spec:
  tls:
    - hosts:
        - mqadmin.${domain}
      secretName: ${domain}-tls
  ingressClassName: nginx
  rules:
    - host: "mqadmin.${domain}"
      http:
        paths:
          - path: /
            pathType: Prefix
            backend:
              service:
                name: neon-rabbitmq
                port:
                  number: 15672