This 2-day ⚡ intensive workshop focuses on solving challenges that organizations face when implementing DevOps initiatives. It introduces principles of DevOps and tools that help reach full automation of infrastructure provisioning and software delivery. Theoretical background as well as practical hands-on examples of tools like AWS/GCP, Ansible, Terraform, Docker, Kubernetes, Helm, Prometheus, Grafana, Linkerd, KNative, Serverless and many others are given during this workshop.

Highlights

• 🚀 Unique content - real-life use cases, modern infrastructure, CI/CD/GitOps principles shown in practice.
• 🛠️ Practical exercises with solutions - lots of simple and not-so-simple tasks to practice with during the course; Solutions will be provided afterwards.
• 🏡 Additional home work - for those who want to practice more after the course; Homework will be reviewed and supplemented by constructive feedback.
• ✉️ Lifetime e-mail support - you can get answers on anything related to the course content as well as advice based on your company specific situation.
• 📊 Quizzes and polls during the course - learning should be fun.
• 🏅 Certificate of attendance - you will get a shareable online certificate.
• 🎓 Exam after the course - you may pass an optional 1-hour exam and get your score printed on the certificate.

Detailed outline

Day 1

• Module 01: introduction to DevOps, infrastructure as code, immutable infrastructure, idempotence principle, delivery pipelines, GitOps
• Module 02: managing virtual/cloud resources with IaC, tooling overview, building first infrastructure configuration pipeline with Terraform
• Module 03: managing multi-cloud/multi-data-center resources with Terraform and Terraform modules
• Module 04: integrating with classic server provisioning tools like Ansible
• Module 05: dynamic inventories, network management, building complex infrastructure delivery pipelines, organizing team work
• Module 06: managing base machine images with Packer
• Module 07: introduction to containers and container management

Day 2

• Module 08: building/publishing images, running containers with Docker
• Module 09: implementing complex use cases with Docker Compose
• Module 10: using Kubernetes to run container workloads
• Module 11: using Helm charts and Kubernetes operators
• Module 13: introduction to observability: logs, metrics, traces
• Module 14: configuring Prometheus jobs and exporters, creating Grafana data sources and dashboards