Skip to content
View Operative88's full-sized avatar
💸
💸

Sponsoring

@santifer

Organizations

@InzynieriaOprogramowaniaAGH @AGHAnalytica

Block or report Operative88

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Operative88/README.md

I am mainly interested in Cloud Computing, DevOps and Neuromodulation. Combining these fields is what I am currently focused on. linux

Links

Latest activity

  • Operative88 <<< an automated GitHub profile README.md that displays my latest activity, updated via GitHub Actions
  • ci-cd-final-project <<< final project for the IBM CI/CD course with CI Github Actions and CD Tekton pipelines on an Openshift Kubernetes cluster
  • wtecc-CICD_PracticeCode <<< CI pipeline with a flake8 linter and unit tests, built with GitHub Actions as part of the IBM Continuous Integration and Continuous Delivery course
  • Python-Distilled <<< Repository based on the book "Python Distilled" by David Beazley
  • IaC-DigitalOcean <<< Terraform code to create a Droplet on DigitalOcean

Pinned Loading

  1. Linux-EC2 Linux-EC2 Public

    Deployment of static website on EC2 instance with simple CI/CD pipeline (AWS CodeBuild)

    HTML

  2. IaC-DigitalOcean IaC-DigitalOcean Public

    Terraform code to create a Droplet on DigitalOcean

    HCL

  3. Python-Distilled Python-Distilled Public

    Repository based on the book "Python Distilled" by David Beazley

  4. wtecc-CICD_PracticeCode wtecc-CICD_PracticeCode Public

    Forked from ibm-developer-skills-network/wtecc-CICD_PracticeCode

    CI pipeline with a flake8 linter and unit tests, built with GitHub Actions as part of the IBM Continuous Integration and Continuous Delivery course

    Python