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title: Why I Needed Rust
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# Why I Needed Rust
## Finally, Infrastructure Automation I Can Sleep On
JesΓΊs PΓ©rez Lorenzo Β· Rustikon 2026
π‘ βββββ
π΄ βββββ
π₯ βββββ
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# 38 Years. One Problem.
**1987 β 2025**
| Era | Tool | Lesson |
|-----|------|--------|
| 1990s | Perl | Power without safety is a disaster |
| 2000s | Python | Pragmatism without guarantees is fragile |
| 2010s | Bash Β· Chef Β· Ansible Β· Terraform | More tools don't solve paradigm problems |
| 2020s | Go Β· ??? | |
> Each time, I thought I had the answer.
> Each time, reality proved me wrong.
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# The Evolution
How we got here
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# Stage 1 β Local (late 80s / early 90s)
**Dumb terminals. Single machine. One state.**
- Local development, long deployment cycles, low urgency
- One state β easy to observe, easy to control
- IaC: procedural scripts, logic hidden inside the application
> **The Perl Era:** we could do anything.
> We could also break anything.
>
> Beautiful, terrifying metaprogramming. No safety net.
> Silent failures at 3 AM.
>
> *Lesson: power without safety is a disaster.*
π‘ βββββ π΄ βββββ π₯ βββββ
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# Stage 2 β Networks / Internet
**Systems getting farther away. More people. More coordination.**
- Remote access, distributed teams, security becomes relevant
- Cost of downtime rises β processes become critical
- Harmonizing: package installs, config, updates across multiple machines in parallel
- IaC: reproducible automation, first declarative attempts
> **The Python Era:** rapid development, great community.
> But nothing stopped you from being wrong.
>
> Type hints came late β and optional.
> Runtime errors >> compile-time errors.
>
> *Lesson: pragmatism without guarantees is fragile.*
π‘ βββββ π΄ βββββ π₯ βββββ
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# Stage 3 β Containers / Cloud / CI-CD
**Everything. Everywhere. All at once.**
- Monolith β distributed, 24Γ7Γ365, high availability
- Cloud, hybrid, multi-cloud, on-prem β simultaneously
- Rollback and rollforward: database transactions, but for infrastructure
- Scale horizontally AND vertically β and *descale*
- CI/CD continuous: new features, new deploys, permanent churn
> **The Cloud/IaC Era:** Ansible, Terraform, Chef, Puppet.
>
> What changed? The syntax.
>
> What didn't? The fundamental problems.
>
> Still fighting type safety. Still discovering errors in production.
>
> *Lesson: more tools don't solve paradigm problems.*
π‘ βββββ π΄ βββββ π₯ βββββ
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I could automate infrastructure.
But I couldn't make it reliable.
I couldn't prevent mistakes.
**I couldn't sleep.**
π‘ βββββ π΄ βββββ π₯ βββββ
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# Why IaC Fails
The restaurant problem
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# The Restaurant
Every restaurant has at least three actors.
| Restaurant | Infrastructure |
|---|---|
| Guest declares
what they want | Declarative config
(YAML, HCL) |
| Waiter validates
and transmits | Orchestrator
(K8s, Ansible) |
| Kitchen executes
and delivers | Runtime / provisioning |
| Dish arrives β
or doesn't | Deployment succeeds β or not |
::right::
**What makes it work β or not:**
The guest **declares**. Doesn't implement.
The waiter must know what's possible β
*before going to the kitchen*.
> "I want X" β waiter goes to kitchen
>
β "we don't have X, why is it on the menu?"
>
β back to the table.
>
>
> Equivalent: I configured a host with port 8443
β that port isn't allowed
β reconfigure from zero.
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# The Truth That Mutates
**State is not static.
It can change at every step of the chain.**
| Step | "Truth" for this actor |
|---|---|
| Guest speaks | What they want |
| Waiter's notepad | What was written down |
| Kitchen markings | What's done / not done |
| Payment ticket | What was actually served |
::right::
**The context problem:**
The waiter knows the regular customer:
*"always no salt."*
The kitchen doesn't. If the waiter changes
β that context disappears.
**Configuration drift is the same thing:** Implicit state. Not explicit. Not propagated. Lost silently.
**The cost of failure depends on *where* it happens:**
- Fail at the table (impossible order):
cheap β caught before kitchen
- Fail in kitchen (ingredient missing):
medium β renegotiate with guest
- Fail at delivery (wrong dish arrives):
expensive β experience destroyed
> **Fail early = fail cheap. Fail in production = nightmare.**
---
# "We Don't Have Mushrooms"
**When an actor in the chain can't fulfill part of the order.**
> "Can I substitute vegetables?"
>
> That renegotiation must be **explicit. Traced. Re-authorized.**
Not silent. Not assumed.
**Configuration drift is silent renegotiation:**
The system changes. Nobody notified. State diverges without trace.
**Rust's answer β `Option`:**
```rust
// The waiter cannot silently skip a missing ingredient
let mushrooms: Option = order.mushrooms;
match mushrooms {
Some(m) => add_to_dish(m),
None => renegotiate_with_guest(&guest)?, // explicit. always.
}
// drift = treating None as Some. Rust makes that impossible.
```
> *The compiler is the waiter who cannot pretend an ingredient exists.*
---
# The Config Evolution
**How we got from code to YAML hell**
1. **Hardcoded** β everything inside the binary. Full control. Zero flexibility.
2. **External config (JSON)** β works between machines. Unreadable for humans at scale.
3. **YAML / TOML** β more readable. Fragile syntax. Implicit types. Silent errors.
4. **YAML + Serde** β Serde validates the *structure*:
- Does the field exist? Is it the right type?
- Do we accept `"elephant"` as a pet? If the type is `String`... yes.
- **Serde validates shape. Not meaning.**
5. **Helm / Jinja templates** β YAML generated from variables (in YAML).
- Does it validate the content of the generated YAML? **No. Not at all.**
- Like using an LLM with a markdown reference: the format is there,
but is the content correct?
Nobody guarantees that.
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Continuous CI/CD.
No semantic validation.
**Continuous hope.**
(crossing our fingers in production)
π‘ βββββ π΄ βββββ π₯ βββββ
---
# Three Questions Without Answers
**Question 1 β Why do we wait for things to break?**
- "Works on my machine" β in production, I don't know
- Fail late = maximum cost. We want: fail fast, fail cheap
**Question 2 β Do we actually know what we want?**
- Is the declaration sufficient and consistent with what's *possible*?
- What are the boundaries? Static or dynamic? What is the source of truth β and when does it mutate?
**Question 3 β Can we guarantee determinism?**
- CI/CD without semantic validation = continuous hope
- We want certainty, not randomness
- "Works on my machine" cannot be the production standard
> *We're not inventing anything new. Everything already exists.
> The question is whether we're managing it correctly.*
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The tools weren't the problem.
The languages weren't the problem.
**The paradigm was the problem.**
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Systems we don't know how to control.
We hope they work.
When they don't β we fix them.
**Continuous nightmare.**
(alarm state as the new normal)
π‘ βββββ π΄ βββββ π₯ βββββ
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# Rust
The answer to all three questions
---
# The Bridge: From Serde to Types
Serde loads structurally valid config. But `"elephant"` as `pet: String` compiles.
**Rust's answer: don't use `String`. Use a type.**
```rust
// Before: String β anything goes
pet: String // "elephant" compiles. "unicorn" compiles. π€·
// After: closed domain β impossible values don't exist
enum Pet { Dog, Cat, Rabbit } // "elephant" doesn't compile
```
**This is the shift.** Not the config format. The model of what it can contain.
Serde validates shape.
Types validate meaning.
The compiler validates *before the binary exists*.
---
# What Rust Gives Us
**Answer to Question 1: fail early, fail cheap**
```rust
// Immutability by default β invariants are invariants
let config = load_config()?; // cannot change silently
// Option β no nulls, no assumptions
let mushrooms: Option = order.mushrooms;
match mushrooms {
Some(m) => add_to_dish(m),
None => notify_kitchen_to_skip(), // explicit. always.
}
// Enums as closed domains
enum CloudProvider { Hetzner, UpCloud, AWS, GCP, Azure, OnPrem }
enum Port { Valid(u16) } // not any integer β a valid port
```
**Answer to Question 2: explicit contracts**
```rust
// Traits define what every actor in the chain must fulfill
#[async_trait]
pub trait TaskStorage: Send + Sync {
async fn create_task(&self, task: WorkflowTask) -> StorageResult;
async fn update_task(&self, id: &str, status: TaskStatus) -> StorageResult<()>;
// Add a new provider: implement this trait or it doesn't compile
}
```
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# The Compiler as Pre-Validator
**Answer to Question 3: guaranteed determinism**
```rust
// Closed domain β you can't forget a case
enum RollbackStrategy {
ConfigDriven,
Conservative, // preserve unless marked for deletion
Aggressive, // revert all changes
Custom { operations: Vec },
}
// The compiler enforces exhaustive handling
match strategy {
RollbackStrategy::ConfigDriven => ...,
RollbackStrategy::Conservative => ...,
RollbackStrategy::Aggressive => ...,
RollbackStrategy::Custom { .. } => ...,
// miss one β compile error
}
```
::right::
**The compiler validates:**
- Before building the binary
- Not after hours of execution
- Not when a function nobody touched in months finally gets called
- Predictable behavior:
memory, resources, workflows
> *The compiler is the waiter who validates the order before it reaches the kitchen.*
> *Before the guest waits. Before the ingredient is missing.*
π‘ βββββ π΄ βββββ π₯ βββββ
---
# The Human Impact
**When the system is trustworthy:**
β Sleep comes back
β Confidence returns
β The team trusts the automation
β Stress decreases
β You can actually rest
> *What you can't measure: fear.*
>
> *What you can measure: MTTR.*
>
> *Before: > 30 minutes. Now: < 5 minutes.*
π‘ βββββ π΄ βββββ π₯ βββββ
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Continuous CI/CD.
Types. Compiler. Explicit state.
**Continuous certainty.**
(to keep sleeping well)
π‘ βββββ π΄ βββββ π₯ βββββ
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# In Production
This is not theory
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# Nickel as Typed Source of Truth
**YAML rejected. TOML rejected.
Reason: no type safety.**
```haskell
# Infrastructure schema β validated at config compile time
{
compute | {
region | String,
count | Number & (fun n => n > 0),
scaling | {
min | Number & (fun n => n > 0),
max | Number & (fun n => n >= min),
# -- compiler verifies this relationship
}
}
}
```
::right::
Result (ADR-003):
**zero configuration type errors in production.**
Config hierarchy:
defaults β workspace β profile β environment β runtime
Each layer merges.
Type system catches conflicts.
At config time β not deployment time.
> *Serde validates shape.*
>
> *Nickel validates meaning.*
>
> *The compiler validates before deployment.*
---
# Traits as Provider Contracts
**The kitchen can change. AWS β UpCloud β bare metal. Same menu.**
```rust
// Every provider implements the same contract
enum DependencyType { Hard, Soft, Optional }
enum TaskStatus { Pending, Running, Completed, Failed, Cancelled }
// Dependency resolution β the orchestrator knows the order
// Installing Kubernetes:
// containerd (Hard) β etcd (Hard) β kubernetes
// β cilium (requires kubernetes) β rook-ceph (requires cilium)
```
**Explicit state β no drift:**
```rust
pub struct WorkflowExecutionState {
pub task_states: HashMap,
pub checkpoints: Vec, // what happened and when
pub provider_states: HashMap,
}
```
- Checkpoint every 5 minutes
- No implicit state. No "the waiter remembers the customer doesn't want salt."
- It's in the order. Always. Explicit.
---
# Dependency Graph β Fail Fast, Fail Cheap
**`fail_fast: bool` is not a config option. It's a principle encoded as a type.**
```rust
pub struct WorkflowConfig {
pub max_parallel_tasks: usize,
pub task_timeout_seconds: u64,
pub fail_fast: bool, // halt on first failure
pub checkpoint_interval_seconds: u64, // recovery point granularity
}
```
Typed DAG β dependency resolution enforced at workflow compile time:
```
containerd (Hard) β etcd (Hard) β kubernetes
β cilium (requires: kubernetes)
β rook-ceph (requires: kubernetes + cilium)
```
- `DependencyType::Hard` β failure stops the chain. Always.
- `DependencyType::Soft` β continues, explicitly degraded.
- `DependencyType::Optional` β missing is expected and fine.
> *Not a runbook. Not a comment. A type the compiler enforces.*
π‘ βββββ π΄ βββββ π₯ βββββ
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# Real Applications
::left::
### Kubernetes
The orchestrator provisions cluster components as a typed workflow:
```
containerd
β etcd
β kubernetes control plane
β CoreDNS
β Cilium (CNI)
β Rook-Ceph (storage)
```
Each dependency is a `DependencyType`.
The compiler catches installing Cilium without Kubernetes.
Not the on-call engineer at 2 AM.
::right::
### Blockchain Validators
Validators require brutal uptime. A validator that fails loses funds.
- **Post-quantum cryptography**: CRYSTALS-Kyber + Falcon + AES-256-GCM hybrid. Validator keys protected against quantum computers.
- **SLOs with real error budgets**: 99.99% = 52.6 min downtime/year. Prometheus blocks deploys when burn rate exceeds budget.
- **Deterministic config**: validator parameters are types. A `bond_amount` that isn't a valid `u128` doesn't compile.
---
# Disaster Recovery
**Rollback as a type, not a procedure**
```rust
// Checkpoint = complete system snapshot
pub struct Checkpoint {
pub workflow_state: Option,
pub resources: Vec,
pub provider_states: HashMap,
}
// Rollback strategy = typed choice, not a runbook
enum RollbackStrategy {
ConfigDriven,
Conservative, // preserve unless marked for deletion
Aggressive, // revert all changes
Custom { operations: Vec },
}
// You cannot do rollback without choosing a strategy.
// The compiler doesn't let you ignore the case.
```
**Multi-backend backup:** restic, borg, tar, rsync β all as enum variants.
Production backup and DR restore use the same type, the same schema.
> *"Works in prod but not in DR" can't happen if the state is the same type.*
---
# Self-Healing β Typed Remediation
**When something breaks at 3 AM β the system responds, not you.**
```rust
enum RemediationAction {
ScaleService { service: String, replicas: u32 },
FailoverService { service: String, region: Region },
RestartService { service: String },
ClearCache { service: String, scope: CacheScope },
}
// Typed playbooks. Not shell scripts. Not hope.
// Fails 3 times β escalates to human. Never loops indefinitely.
```
**What happens at 3 AM:**
- Alert fires β `RemediationEngine` matches condition β runs `RestartService`
- Works: silent. Nobody woken up.
- Fails 3Γ: page sent β with full state, checkpoint, and execution history.
> *You wake up to information. Not to chaos.*
π‘ βββββ π΄ βββββ π₯ βββββ
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Without types. Without compiler. Without explicit state.
**MTTR > 30 minutes.**
ββββββββββββββββββββββββ
Rust. Types. Explicit state.
Automated response.
**MTTR < 5 minutes.**
(at 3 AM. without you.)
π‘ βββββ π΄ βββββ π₯ βββββ
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# Why This Matters
For everyone in this room
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# For You
::left::
### If you've been frustrated like me
- Rust solves the problems *you already know*
β not hypothetical ones
- This isn't hype. I've seen technologies
come and go for decades.
- Give it a real chance.
- Your sleep will thank you.
**Start here:**
- Model your infrastructure as types
- Replace stringly-typed config with enums
- Let the compiler be your pre-validator
::right::
### If you're earlier in your career
- Don't waste decades on fragile infrastructure
- Start with type safety from day one
- Build for reliability β not just for speed
- You'll thank yourself later
**The shortest path:**
- Learn the type system deeply
- Understand ownership as state management
- Traits as contracts between systems
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At my age, I have perspective.
I've seen technologies come and go.
**Rust isn't hype.**
It solves real problems
I've had for decades.
More years isn't a liability.
**It's an advantage.**
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# Why I Needed Rust
## Because I Wanted to Sleep
π‘ βββββ
π΄ βββββ
π₯ βββββ
## Thank you very much
Questions?
**provisioning.systems**
Β· **jesusperez.pro**