Platform Engineering: Build Scalable & Resilient Systems

Master Platform Engineering: Build Scalable & Resilient Systems

Unlock High-Demand Careers & Boost Your Technical Skills

Become a sought-after Platform Engineer with Uplatz.Platform Engineering is revolutionizing software development by focusing on building and maintaining an internal platform that empowers developers and operations teams. This course equips you with the skills to create reusable, scalable, and automated infrastructure solutions, significantly streamlining the entire software development lifecycle and accelerating application delivery.

What is Platform Engineering?

At its core, platform engineering creates a standardized, highly automated environment where developers can concentrate on coding, while platform engineers manage the underlying infrastructure complexity. The result? A dramatically improved developer experience, faster deployments, and reduced operational overhead.

Key Aspects You'll Master:

• Internal Developer Platform (IDP): Design and build custom platforms tailored to your organization's specific development needs, abstracting away complex infrastructure.
• Automation: Automate critical processes like infrastructure provisioning (using Infrastructure as Code), CI/CD pipelines, monitoring, and logging to minimize manual effort.
• Self-Service Capabilities: Empower developers with self-service tools for environment creation, application deployment, and troubleshooting, fostering autonomy and faster development cycles.
• Scalability and Reliability: Build platforms designed to scale with business growth, incorporating fault-tolerance, monitoring, and observability for high availability.
• Collaboration: Bridge the gap between DevOps, Security, and Development teams by aligning infrastructure, tooling, and workflows.

How Platform Engineering Works:

• Infrastructure as Code (IaC): Automate infrastructure management using tools like Terraform, Ansible, and Pulumi for consistent provisioning across environments.
• CI/CD Pipeline Integration: Implement automated Continuous Integration/Continuous Deployment (CI/CD) using tools like Jenkins, GitLab CI, and GitHub Actions.
• Containerization and Orchestration: Leverage containers (e.g., Docker) and orchestration platforms (e.g., Kubernetes) for consistent and scalable deployments.
• Observability and Monitoring: Implement robust monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK Stack) for proactive troubleshooting.
• Security and Governance: Integrate security best practices, including secrets management (e.g., HashiCorp Vault), compliance, and access control.
• Collaboration and Tooling: Design user-friendly tools and interfaces (e.g., dashboards, CLI) to facilitate seamless communication and collaboration.

Course Curriculum:

Module 1: Introduction to Platform Engineering

• Define Platform Engineering, its importance, benefits, and challenges.
• Explore the future of Platform Engineering.

Module 2: Core Concepts

• Benefits of Infrastructure as Code (IaC) and tools like Terraform and Ansible.
• Understanding CI/CD pipelines and best practices.
• Design principles of self-service platforms and Platform APIs.
• Mastering platform observability (metrics, logging, monitoring).

Module 3: Cloud-Native

• Introduction to cloud-native concepts, benefits, and challenges.
• Real-world examples of cloud-native architectures.
• Kubernetes architecture, components, and cluster management.
• Container orchestration, deployment strategies, and best practices.
• Serverless computing: use cases, benefits, and challenges.
• Cloud security best practices and common threats.

Module 4: Design Principles and Shell Scripting

• Design principles behind platform engineering.
• Introduction to Shell Scripting for automation.
• Implementation of Shell Commands and Cocalc.
• Understanding Programming Basics.

Module 5: Kubernetes and Platform Lifecycle

• Implementation of Kubernetes.
• Platform lifecycle management (planning, development, deployment, operations).

Module 6: Observability with Grafana

• Understanding Grafana for observability.
• Connecting Grafana with automation tools.

Module 7: DevOps and Tooling

• Understanding Jenkins.
• Connection between Kubernetes and Jenkins.
• DevOps implementation best practices.
• Service connection management.
• Platform Engineering documentation.
• Understanding Redhat OpenShift and GitLab.

Module 8: Practical Examples and Interview Preparation

• Practical examples of Platform Engineering implementation