DevOps is a combination of Development (Dev) and Operations (Ops). It is a culture, set of practices, and tools that help organizations deliver software faster, more reliably, and with higher quality.
Python is a high-level, easy-to-learn programming language used for various applications like web development, data science, automation, artificial intelligence (AI), and more.
Cloud computing is the delivery of computing services over the internet instead of using local computers or servers. These services include storage, processing power, databases, networking, and software—all accessible on demand.
Skills that I have learned to date, and am still learning.
I have used OpenStack Private Cloud from deployment to operational and AWS Public Cloud.
I've used GitLab CI/CD to create pipelines, as well as attempted deployment of NodeJS, VueJS, Laravel and Django Simple Apps.
I have manipulated incomplete data, and displayed the data using python which will be used to build Machine Learning.
I once made a machine learning to predict the weather using Python with a dataset that I took from Kaggle.
I made some Python apps to ease my work, script automation add data to mongoDB, Convert Json file to Google Sheet, etc.
I often use databases with RDBMS types such as MySQL, PostgreSQL. and NoSQL databases such as DynamoDB, MongoDB.
I have configured Routing Static and Routing Dynamic OSPF, BGP, EIGRP and RIP. on Cisco Packet Tracer simulations and MikroTik physical devices.
I have created web server monitoring systems (Apache and Nginx), Containers, Node Servers, and created monitoring dashboards using Prometheus, Grafana and Loki Promtail.
These are some of the projects that I have completed, from several fields.