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Junior

What services have you worked with and what exactly did you do with them?

sobes.tech AI

Answer from AI

Worked with a wide range of services covering key areas of DevOps practices:

  • Cloud Platforms:

    • AWS (Amazon Web Services): EC2 (instance management, autoscaling, ELB), S3 (object storage, static website hosting), RDS (database management – PostgreSQL, MySQL), VPC (network infrastructure), IAM (access management), CloudWatch (monitoring and alerts), Lambda (serverless functions), EKS (Kubernetes cluster management), Route 53 (DNS).
    • Azure (Microsoft Azure): Virtual Machines, Storage Accounts, Azure SQL Database, Virtual Network, Azure AD (Azure Active Directory), Azure Monitor, Azure Kubernetes Service (AKS), Azure Functions, Azure DNS.
    • GCP (Google Cloud Platform): Compute Engine, Cloud Storage, Cloud SQL, Virtual Private Cloud, Cloud Identity and Access Management (IAM), Cloud Monitoring, Google Kubernetes Engine (GKE), Cloud Functions, Cloud DNS.

  • Configuration Management Systems:

    • Ansible: Automating application deployment, server management, OS configuration, routine tasks. Writing playbooks and roles.
    • Terraform: Infrastructure as code. Creating, modifying, and destroying cloud infrastructure (AWS, Azure, GCP, Kubernetes, and others). Managing infrastructure state.
    • Chef / Puppet (basic experience): Using recipes/manifestos for configuration management.

  • CI/CD Systems:

    • Jenkins: Building pipelines for application build, testing, and deployment (from monoliths to microservices). Integration with version control systems (Git), package managers, testing tools.
    • GitLab CI/CD: Fully integrated CI/CD solution in GitLab. Creating .gitlab-ci.yml files, configuring runners, managing deployments.
    • GitHub Actions: Automating workflows in GitHub. Building, testing, and deploying applications directly from repositories.
    • Azure DevOps Pipelines: Building CI/CD pipelines in Azure DevOps environment.

  • Containerization:

    • Docker: Building images (Dockerfiles), running containers, managing containers (Docker-compose), orchestration (basic Docker Swarm).
    • Kubernetes: Deploying and managing containerized applications. Working with pods, deployments, services, ingresses, configmaps, secrets. Monitoring and scaling. Managing RBAC.

  • Monitoring and Logging Systems:

    • Prometheus & Grafana: Collecting metrics, data visualization, alert configuration. Monitoring server, application, Kubernetes cluster status.
    • ELK Stack (Elasticsearch, Logstash, Kibana): Centralized log collection, parsing, storage, and analysis. Log visualization, search, dashboard creation.
    • Zabbix: Monitoring servers, network equipment, applications. Setting up triggers and alerts.
    • CloudWatch (AWS), Azure Monitor, Google Cloud Monitoring: Using built-in cloud systems for resource monitoring.

  • Version Control Systems:

    • Git: Daily work with Git: cloning, commits, pushes, pulls, merges, rebases, branch management, forks, pull requests/merge requests.

  • Scripting Languages Usage:

    • Bash: Writing scripts for automating routine tasks, deployment, administration.
    • Python: Writing more complex scripts for DevOps automation, working with cloud provider APIs, data parsing.

Specific actions ranged from designing and implementing entire infrastructure from scratch for deploying new microservices to optimizing existing CI/CD pipelines, implementing monitoring and logging systems, and ensuring high service availability through autoscaling and load balancer configuration. Also involved in database setup and maintenance, security management through access control, and firewall configuration.

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