Feat : add Helm chart

[MaximeWewer]

I hadn't opened any issues before creating this helm chart but I can open an issue to link this PR and an issue.

Description

Summary

This PR introduces a production-ready Helm chart for deploying IntelOwl on Kubernetes, providing a alternative to Docker Compose deployment.

Features

Core components

• Full IntelOwl stack: uWSGI, Daphne (WebSockets), Nginx, Celery Beat, Celery Workers
• Support for all optional integrations (CyberChef, Malware Tools, Nuclei, PCAP Analyzers, BBOT, Phishing Analyzers,
  PhoneInfoga, Phunter, Thug, Tor Analyzers)
• Multi-queue Celery workers for better resource isolation

Database & messaging

• PostgreSQL via https://cloudnative-pg.io/ operator (HA support with synchronous replication)
• Redis via CloudPirates chart (standalone or replication with Sentinel)
• RabbitMQ via CloudPirates chart (alternative to Redis as message broker)

Networking

• https://gateway-api.sigs.k8s.io/ support (modern Kubernetes networking standard)
• Traditional Ingress support for backwards compatibility
• Multiple Gateway providers: nginx-gateway-fabric, envoy-gateway, istio, kong, traefik

Production features

• Horizontal Pod Autoscaling (HPA)
• Pod Disruption Budgets (PDB)
• Network Policies
• External Secrets Operator integration
• Prometheus metrics (ServiceMonitor/PodMonitor)
• S3 storage support

Documentation

• Comprehensive README with helm-docs integration
• Example configurations: minimal, development, production, with-ingress, with-rabbitmq, with-integrations
• Getting Started guide including superuser creation

CI/CD

• GitHub Actions workflow for publishing chart to GitHub Container Registry

Type of change

Please delete options that are not relevant.

• New feature (non-breaking change which adds functionality).

Checklist

• I have read and understood the rules about how to Contribute to this project
• The pull request is for the branch develop
• A new plugin (analyzer, connector, visualizer, playbook, pivot or ingestor) was added or changed, in which case:
  • I strictly followed the documentation "How to create a Plugin"
  • Usage file was updated. A link to the PR to the docs repo has been added as a comment here.
  • Advanced-Usage was updated (in case the plugin provides additional optional configuration). A link to the PR to the docs repo has been added as a comment here.
  • I have dumped the configuration from Django Admin using the dumpplugin command and added it in the project as a data migration. ("How to share a plugin with the community")
  • If a File analyzer was added and it supports a mimetype which is not already supported, you added a sample of that type inside the archive test_files.zip and you added the default tests for that mimetype in test_classes.py.
  • If you created a new analyzer and it is free (does not require any API key), please add it in the FREE_TO_USE_ANALYZERS playbook by following this guide.
  • Check if it could make sense to add that analyzer/connector to other freely available playbooks.
  • I have provided the resulting raw JSON of a finished analysis and a screenshot of the results.
  • If the plugin interacts with an external service, I have created an attribute called precisely url that contains this information. This is required for Health Checks (HEAD HTTP requests).
  • If a new analyzer has beed added, I have created a unittest for it in the appropriate dir. I have also mocked all the external calls, so that no real calls are being made while testing.
  • I have added that raw JSON sample to the get_mocker_response() method of the unittest class. This serves us to provide a valid sample for testing.
  • I have created the corresponding DataModel for the new analyzer following the documentation
• I have inserted the copyright banner at the start of the file: # This file is a part of IntelOwl https://github.com/intelowlproject/IntelOwl # See the file 'LICENSE' for copying permission.
• Please avoid adding new libraries as requirements whenever it is possible. Use new libraries only if strictly needed to solve the issue you are working for. In case of doubt, ask a maintainer permission to use a specific library.
• If external libraries/packages with restrictive licenses were added, they were added in the Legal Notice section.
• Linters (Black, Flake, Isort) gave 0 errors. If you have correctly installed pre-commit, it does these checks and adjustments on your behalf.
• I have added tests for the feature/bug I solved (see tests folder). All the tests (new and old ones) gave 0 errors.
• If the GUI has been modified:
  • I have a provided a screenshot of the result in the PR.
  • I have created new frontend tests for the new component or updated existing ones.
• After you had submitted the PR, if DeepSource, Django Doctors or other third-party linters have triggered any alerts during the CI checks, I have solved those alerts.

Important Rules

• If you miss to compile the Checklist properly, your PR won't be reviewed by the maintainers.
• Everytime you make changes to the PR and you think the work is done, you should explicitly ask for a review by using GitHub's reviewing system detailed here.