Technology
Tiago
Backend engineering is taught through substantial Go-focused builds covering APIs, microservices, concurrency, deployment, caching, authentication, and event-driven systems. Long-form courses and project-led tutorials give Tiago a practical architecture emphasis, from production API design to Kubernetes and RabbitMQ workflows. It is best suited to developers seeking hands-on explanations of backend patterns and scalable-service concepts, with technical choices worth adapting to their own stack and requirements.
Editorially reviewed:
Based on 20 recent videos
Assessed 25 September 2026
Editorial note
WorthWatch verdict
Best for
Go developers advancing into backend and distributed-system design
Strength
In-depth, project-led explanations of backend architecture and engineering trade-offs
Consider if
you want practical context for Go, APIs, concurrency, and microservices
Recent videos
Latest from the source
Deep Dive
Tiago: Go Builds for Scalable Backend Systems
Main focus
Tiago develops backend engineering skills through substantial Go projects that move from API design and authentication to microservices, concurrency, caching, and event-driven workflows. The emphasis stays on how services are assembled, deployed, and connected in production-minded systems.
Why it matters
Developers building a Go service or refining a backend architecture can follow complete project paths rather than isolated concepts. The material connects implementation details with decisions around deployment, messaging, and service scale, making it useful for adapting patterns to real applications.
Style
Long-form builds form the backbone, using project-led teaching to work through APIs, Kubernetes deployment, RabbitMQ workflows, and related infrastructure. Technical choices are explored in context, with an emphasis on the relationships between application code, services, and operations.
Consistency
A focused collection of 38 videos concentrates on substantial backend builds rather than broad technology commentary. Its project-based approach creates a coherent path across service design, deployment, and distributed-system patterns.
- Go backend development
- API design and authentication
- Microservices and concurrency
- Caching and event-driven systems
- Kubernetes deployment
- RabbitMQ workflows
Treat library versions, cloud practices, and deployment details as starting points, then check current documentation. Adapt architecture patterns to your own security, reliability, scale, and operational needs.




