Ideal for teams that…
Cloud, automation and CI/CD in practice — hands-on for engineering teams.
How to configure GitLab Runners in a scalable way, aligned with modern standards, and applicable across an organization
Creating and optimizing GitLab CI pipelines according to best practices
Automating application deployments to cloud platforms such as AWS and GCP
Building a comprehensive Continuous Integration and Delivery (CI/CD) process
Using GitLab as a tool for infrastructure management
Independently diagnosing and solving problems in GitLab environments
What we actually do
- · Why GitLab is a powerful tool for team automation
- · Comparison with other CI/CD solutions
- · Capabilities available in the free GitLab version
- · High-level overview of GitLab architecture
- · How GitLab supports daily development and DevOps workflows
- · Configuring the environment for running pipelines
- · Scaling runners and resources to match team needs
- · Monitoring job execution and responding to failures
- · Writing simple and advanced CI/CD pipelines
- · Defining jobs, variables, and dependencies
- · Working with containers and additional services
- · Using templates and reusable snippets
- · References and anchors to avoid repetitive code
- · Automatic build, test, and deployment pipelines
- · Using Auto DevOps to accelerate application delivery
- · Deploying applications to Kubernetes, AWS, and GCP
- · Securing environments against unwanted deployments
- · Using feature flags to control releases to end users
- · Automated scanning of containers and infrastructure
- · Identifying and fixing security issues early in the pipeline
- · Running CI/CD actions directly from chat tools
- · Managing projects and workflows via ChatOps
- · Organizing projects and teams in GitLab
- · Planning work with milestones
- · Integration with Agile methodologies (Scrum, Kanban)
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
Other programs for teams
See all →Advanced Ansible Training
Cloud, automation and CI/CD in practice — hands-on for engineering teams.
Advanced Linux System Administration Training
Cloud, automation and CI/CD in practice — hands-on for engineering teams.
Ansible Basic Training
Cloud, automation and CI/CD in practice — hands-on for engineering teams.