Advanced

The Advanced section covers non-trivial scenarios that emerge as Plumego systems grow.

These topics are not required to get started.
They are not even required for many production systems.

They become relevant when:

Scale increases
Complexity accumulates
Operational requirements tighten
Architectural trade-offs become unavoidable

This section exists to address those realities without abandoning Plumego’s core principles.

What This Section Is About

Advanced topics typically involve:

Performance and efficiency trade-offs
Concurrency and resource control
Large-team collaboration concerns
Long-term evolution strategies
Integration with complex infrastructure
Failure modes that appear only at scale

These are not “features”.

They are engineering decisions under pressure.

What This Section Is Not

Advanced is not:

A replacement for Core or Concepts
A collection of shortcuts
An excuse to bypass explicit boundaries
A place for framework magic

If an advanced technique relies on hidden behavior,
it is almost certainly incompatible with Plumego.

Design Constraint: Core Remains Untouched

A fundamental rule governs this section:

Nothing in Advanced changes the Core contract.

Advanced techniques may:

Add layers
Introduce new abstractions
Compose existing primitives in new ways

They must never:

Add implicit lifecycle phases
Inject hidden dependencies
Bypass explicit wiring
Alter request flow semantics

Advanced does not mean “less explicit”.

Typical Advanced Scenarios

This section addresses questions like:

How do I handle very high request throughput?
How should I structure a large Plumego codebase?
How do I manage cross-service concerns?
How do I introduce background processing safely?
How do I reason about performance bottlenecks?
How do I evolve APIs without breaking clients?

These questions do not have universal answers —
only explicit trade-offs.

Reading Guidance

You should read this section selectively.

If a topic does not match a real problem you are facing:

Skip it
Bookmark it
Come back later

Premature optimization and premature complexity are still problems.

Relationship to Other Sections

Core defines guarantees — Advanced must respect them
Concepts explain mechanics — Advanced builds on them
Architecture defines structure — Advanced explores extensions
Guides solve common problems — Advanced tackles edge cases
Patterns enforce discipline — Advanced assumes you follow them

If any of those foundations are missing,
Advanced topics will cause more harm than good.

Topics You Will Find Here

Examples of advanced topics include:

High-performance middleware patterns
Request fan-out and aggregation
Background and async processing models
Multi-tenant system considerations
API versioning strategies
Observability at scale
Memory and allocation awareness
Controlled use of generics and abstractions

Each topic is framed around constraints and consequences, not recipes.

Advanced ≠ Clever

A recurring theme in this section:

If an advanced solution makes the system harder to reason about, it is probably the wrong solution.

Plumego values:

Predictability over cleverness
Explicitness over convenience
Stability over novelty

Advanced techniques must still be boring at their core.

When to Read This Section

You should consider Advanced topics when:

You can no longer answer “what happens next?” easily
Performance issues are measurable, not speculative
Multiple teams touch the same codebase
Operational failures become costly
System evolution becomes risky

If none of these apply, you are likely better served elsewhere.

Summary

The Advanced section exists to:

Address real-world complexity
Preserve Plumego’s explicit design under pressure
Expose trade-offs honestly
Avoid framework-driven shortcuts

Advanced does not mean abandoning discipline.
It means applying it more carefully.

If you are entering this section, a good starting point is:

→ Performance and Allocation Awareness

This explains how to reason about efficiency in Plumego without premature optimization.

Alternatively:

→ Background Processing Models

For systems that must do more than request–response handling.