About

Hello, I’m Sergij! I’m a DevOps engineer from Ukraine.

Experience

Originally I made this small script for a profile page on GitHub. But Hugo has support for Jupyter Notebook, so I decided to test it out. Unfortunately, it does not show the script execution, so if you are interested, you can check it out here.

# %%
# @title Imports dependencies
"""Creating a class for keeping track of knowledge."""
import json
from dataclasses import asdict, make_dataclass

from rich import print

# %%
# @title Make dataclass for person
person = make_dataclass(
    "Person",
    [
        ("nick", str),
        ("name", str),
        ("languages", list[str]),
        ("pipelines", list[str]),
        ("web_services", list[str]),
        ("databases", list[str]),
        ("monitoring", list[str]),
        ("ops", list[str]),
    ],
    namespace={"to_json": lambda self: json.dumps(asdict(self), indent=4)},
)

# %%
# @title Initializing classes and creating lists
if __name__ == "__main__":
    languages    = ['YAML', 'Bash', 'Python', 'Go', 'Web']
    pipelines    = ['GitLab Ci', 'GitHub Actions', 'AWS CodePipeline', 'Jenkins']
    web_services = ['NGINX', 'Apache HTTP Server', 'Varnish HTTP Cache', 'Fastly']
    databases    = ['MariaDB', 'PostgreSQL', 'DynamoDB', 'Redis']
    monitoring   = ['EFK', 'Grafana', 'Prometheus', 'Wazuh',]
    ops          = [
        'Linux', 'Proxmox',
        'Kubernetes', 'Docker',
        'Ansible', 'Terraform'
        ]

    me = person('@Searge', 'Serhii Boremchuk',
                languages, pipelines, web_services, databases, monitoring, ops)

    print(me.to_json())