In 2026, the speed of delivering changes to production has become the main competitive advantage. But the more microservices there are, the harder it is for developers: they need to understand Kubernetes, CI/CD, cloud services, secrets, monitoring. Engineers spend up to 40% of their time on infrastructure tasks instead of the product. This is where platform engineering comes into play — a discipline that turns infrastructure into a product for internal users.
The course "Platform Engineering — Internal Developer Platforms" on asibiont.com is a practical guide to creating a minimum viable Internal Developer Platform (IDP) in 4 weeks. You will go from the concept of "Platform as a Product" to a production-grade platform with a service catalog on Backstage, self-service environments via Crossplane, golden path templates for microservices, and DORA metrics. No fluff — only architectural decisions, ready-made configurations, and analysis of typical pitfalls when implementing in a team of 20+ engineers.
Who needs this and why
If you are a team lead, DevOps engineer, architect, or SRE who is tired of being a "bottleneck" for all teams, this course is for you. Platform engineering solves the problem of cognitive load: instead of each developer independently figuring out Terraform, ArgoCD, and Prometheus, you create a platform that provides ready-made self-service capabilities. A developer presses a button — and gets an environment, database, secrets, and monitoring.
The course is also suitable for managers who want to understand how to build an internal platform team and measure its effectiveness. And for aspiring platform engineers who want to systematize their knowledge.
What you will learn
The course program is built around real challenges companies face when building an IDP. You will master:
-
Service Catalog on Backstage — creating a catalog of services, documentation, and ownership. Backstage is an open-source platform from Spotify that has become the de facto standard for developer portals. You will learn to configure plugins, integrate the catalog with Git, and create Software Templates for quickly starting new projects.
-
Infrastructure Orchestration with Crossplane — managing cloud resources through the Kubernetes API. Crossplane allows you to describe databases, buckets, queues as ordinary Kubernetes manifests. You will analyze how to create Composite Resources and provide developers with self-service environments without needing to learn Terraform.
-
Environment-as-a-Service — dynamic creation of ephemeral environments for feature branches. This reduces integration testing time and allows testing changes in isolation.
-
CI/CD Platform — building pipelines that developers can configure without deep immersion in tools. Golden path templates for microservices in various languages.
-
Observability as a Service — providing ready-made dashboards, alerts, and tracing as part of the platform. You will learn to integrate Prometheus, Grafana, Loki, and Tempo into a single stack that a developer gets "out of the box."
-
Secret Management — secure secret management using Vault or External Secrets Operator.
-
FinOps — controlling cloud costs through platform tools. You will learn how to provide teams with transparent cost information and implement cost-saving policies.
-
DORA Metrics — measuring delivery speed: deployment frequency, lead time for changes, change failure rate, time to restore. You will learn to collect these metrics automatically and use them to improve processes.
How learning on asibiont.com works
The asibiont.com platform uses AI generation of personalized lessons. The neural network analyzes your current level, goals, and learning pace, then creates an individual program. If you are already familiar with Kubernetes but have never worked with Crossplane, the course adapts: complex topics will be explained more simply, and you won't linger on familiar sections.
Learning is entirely text-based — no videos. This is done intentionally: text can be quickly skimmed, returned to needed fragments, and configurations copied. Access to materials is open 24/7, you learn at a convenient pace. The AI assistant answers questions during the lesson, explains unfamiliar terms, and offers additional examples. For example, if you don't understand how a Composite Resource works in Crossplane, the neural network will generate a simplified example and explain the difference between a Claim and a Composite Resource.
Practical assignments are based on real scenarios: you don't just read theory, but design platform architecture, write YAML manifests, and configure Backstage templates. All of this can be immediately applied in your work.
Why AI learning is effective
Traditional courses with a fixed program don't take your experience into account. You might get bored on simple topics or, conversely, not understand a complex one. AI generation solves this problem: the program adapts to you. The neural network explains complex concepts in simple language, provides analogies, and answers clarifying questions. It's like a personal mentor available at any time.
Moreover, AI can generate additional exercises for weak spots. If you make mistakes in writing a Terraform provider for Crossplane, the system will offer a few more tasks on this topic until you master the material.
Typical pitfalls and how to avoid them
The course covers real problems teams face when implementing an IDP:
- Developer resistance: "Why do we need another platform?" The solution is to involve teams from the very beginning and show quick wins.
- Overly complex architecture: trying to implement everything at once. The course teaches starting with an MVP and iteratively expanding.
- Lack of metrics: without DORA, it's impossible to understand whether the platform brings benefits. You will learn to measure the effect.
- Security issues: secrets in Git, excessive permissions. The course examines patterns for secure secret management and RBAC.
A practical example
One of the teams that implemented an IDP using a similar approach reduced the onboarding time for a new microservice from 3 days to 2 hours. Developers stopped writing tickets to DevOps and began creating environments independently through Backstage. The number of incidents related to manual configuration errors decreased. These results were achieved through standardization and automation.
Summary
The course "Platform Engineering — Internal Developer Platforms" on asibiont.com is not just theory but a practical guide to building an IDP. You will get ready-made configurations, architectural diagrams, and an understanding of how to implement a platform in a team of 20+ engineers. If you want to become the one who creates tools for developers, rather than just fixing infrastructure, this course is for you.
Start learning right now: Platform Engineering — Internal Developer Platforms.
Comments