What stands do you service in your current or…

I service the following types of stands:

Dev: A stand for developers, not intended for end-user testing. Used for quick verification of code changes and early deployment stages.
Test/QA: A stand for testers, where various types of testing (functional, integration, load testing) are conducted. Contains more stable versions of applications and is close to Prod in configuration and data.
Stage/Pre-prod: A stand that closely mimics the production environment (Prod) in configuration, data, and infrastructure. Used for final testing before release to Prod.
Prod: An industrial stand where applications accessible to end-users are hosted. Requires maximum stability, fault tolerance, and security.

Each stand supports its own set of environments:

env:
  development:
    name: Dev
  testing:
    name: Test/QA
  staging:
    name: Stage/Pre-prod
  production:
    name: Prod

The build and deployment process is automated using CI/CD pipelines, which ensure deployment depending on the target stand. For example, a pipeline for building a microservice might look like this:

# Example of a GitLab CI/CD pipeline
stages:
  - validate
  - build
  - test
  - deploy

build:
  stage: build
  script:
    - docker build -t my-app:$CI_COMMIT_SHORT_SHA .

deploy_to_dev:
  stage: deploy
  script:
    - kubectl apply -f kubernetes/dev.yaml
  only:
    - merge_requests

deploy_to_test:
  stage: deploy
  script:
    - kubectl apply -f kubernetes/test.yaml
  when: manual # Manual deployment after successful tests
  rules:
    - if: '$CI_COMMIT_BRANCH == "develop"'

deploy_to_stage:
  stage: deploy
  script:
    - kubectl apply -f kubernetes/stage.yaml
  when: manual
  rules:
    - if: '$CI_COMMIT_BRANCH == "main"'

deploy_to_prod:
  stage: deploy
  script:
    - kubectl apply -f kubernetes/prod.yaml
  when: manual
  rules:
    - if: '$CI_COMMIT_TAG =~ /^v\d+\.\d+\.\d+/' # Deployment to production by version tag

Maintenance includes performance monitoring, log management, security system configuration, regular software and infrastructure updates, and incident resolution. The tools and technologies used vary depending on the project but typically include:

Category	Example tools
Configuration Management	Ansible, Terraform
CI/CD	GitLab CI, Jenkins
Containerization	Docker, Kubernetes
Monitoring	Prometheus, Grafana, ELK Stack
Logging	Elasticsearch, Logstash, Kibana
Storage	PostgreSQL, Redis, S3
Cloud Platforms	AWS, GCP, Azure (depending on the project)

What stands do you service in your current or previous job?