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How to Deploy Staging Then Production in Python
Walk through a staged deployment mock that promotes from staging to production in sequence with Python.
import time
def deploy_environment(name: str) -> None:
print(f"Deploying to {name}...")
time.sleep(0.1)
print(f"Deployed to {name} ✔")
def deploy_staging_then_prod() -> None:
environments = ["staging", "production"]
for env in environments:
deploy_environment(env)
if env == "stagi…
How to Generate a Kubernetes Deployment Manifest in Python
Generate a Kubernetes Deployment manifest as YAML from a Python dictionary using PyYAML.
import yaml
deployment = {
"apiVersion": "apps/v1",
"kind": "Deployment",
"metadata": {
"name": "mock-app",
"labels": {"app": "mock-app"}
},
"spec": {
"replicas": 3,
"selector": {
"matchLabels": {"app": "mock-app"}
},
"template": {
…
How to Implement a Data Helper Class in Python for Production Deployments
Build an environment-aware data helper in Python that loads config, extracts, transforms, and reports on JSON data using small, testable functions.
"""Production-style data helper for beginners.
Demonstrates:
- environment-aware config
- central data extraction
- small, testable functions
"""
import os
import json
from pathlib import Path
from typing import List, Dict, Any
def load_config(env: str = os.getenv("APP_ENV", "development")) -> Dict[str, Any]:
…
How to Implement a Manual Approval Gate Mock in Python
Simulates a manual approval workflow with threshold-based rules, random decisions for medium amounts, and logs each result with timing.
import random
import time
def approve_request(amount: float) -> bool:
if amount <= 1000:
return True
if amount <= 5000:
return random.random() < 0.7
return False
def main():
requests = [500, 1200, 7500, 3000, 50]
for amount in requests:
start = time.perf_counter()
…
How to Merge Helm Chart Values Per Environment in Python
Merge default Helm chart values with environment-specific overrides using a recursive dictionary merge function, then write each environment's YAML file.
from pathlib import Path
import json
import tempfile
DEFAULT_VALUES = {
"image": "nginx:latest",
"replicas": 1,
"resources": {"cpu": "100m", "memory": "128Mi"},
}
ENV_OVERRIDES = {
"dev": {"replicas": 1, "resources": {"cpu": "50m"}},
"staging": {"replicas": 2, "resources": {"cpu": "250m", "memor…
How to Mock Multi-Stage Docker Builds in Python
Simulate a multi-stage Docker build in pure Python using classes and temp directories to understand how build stages copy artifacts into a final image.
# Simulate multi-stage Docker build with pure Python
from pathlib import Path
import tempfile
import shutil
class BuildContext:
"""Mimics a Docker build context with stages."""
def __init__(self, name):
self.name = name
self.files = {}
def add_file(self, dest, content):
s…
How to Mock Terraform Plan and Apply in Python
This code provides a lightweight Python mock of Terraform's plan and apply commands, helping you simulate infrastructure changes without real cloud resources.
class MockTerraform:
def __init__(self):
self.plans = [
{"id": 1, "action": "create", "resource": "aws_instance.web"},
{"id": 2, "action": "update", "resource": "aws_s3_bucket.data"},
{"id": 3, "action": "destroy", "resource": "aws_iam_user.legacy"}
]
sel…
How to Mock a CI Pipeline with Build, Test, and Deploy Stages in Python
Simulate a three-stage CI pipeline (build, test, deploy) in Python with random pass/fail logic, early exit on failure, and measured stage durations.
import time
import random
from dataclasses import dataclass
@dataclass
class StageResult:
name: str
status: str
duration: float
def run_stage(name: str, success_chance: float = 0.9) -> StageResult:
"""Simulate a pipeline stage with random success/failure."""
start = time.time()
time.sleep(r…
How to Mock a Dependency for Readiness Probe in Python
Use unittest.mock.Mock to simulate a dependency's readiness check response for testing a service's is_ready method without hitting a real connection.
import time
import unittest
from unittest.mock import Mock
class Service:
def __init__(self, dependency):
self.dependency = dependency
def is_ready(self):
try:
result = self.dependency.check()
return result == "ready"
except Exception:
return False
…
How to Mock a Dockerfile Multi-Stage Build in Python
Simulate a Dockerfile multi-stage build process in Python using dataclasses to validate stage ordering and file availability before you write the real Dockerfile.
from dataclasses import dataclass
from pathlib import Path
@dataclass
class BuildStage:
name: str
base_image: str
files: list[str]
commands: list[str]
def run_build(stage: BuildStage, context_dir: Path):
print(f"=== Stage: {stage.name} (base: {stage.base_image}) ===")
for file in stage.file…
How to Mock a GitHub Actions Workflow in Python
Build a dataclass-based model of a GitHub Actions workflow and simulate its execution to validate steps and outputs before deployment.
import json
from dataclasses import dataclass, asdict
from typing import List, Dict, Any
@dataclass
class Step:
name: str
run: str
@dataclass
class Job:
name: str
steps: List[Step]
runs_on: str = "ubuntu-latest"
@dataclass
class Workflow:
name: str
jobs: List[Job]
def to_github_a…
How to Mock a Kubernetes Rolling Update with maxSurge in Python
Simulate a Kubernetes rolling update with maxSurge policy, tracking peak and final replica counts during roll transitions.
from collections import deque
class RollingUpdateMaxSurge:
def __init__(self, replicas, max_surge):
self.replicas = replicas
self.max_surge = max_surge
self.available = replicas
self.history = deque()
def roll(self, desired_replicas):
"""
Simulate a rolling upd…
How to Mock a Slow Startup Probe for Fast Testing in Python
This code shows how to replace a slow startup probe's initialization with a mock to make tests run fast and reliably.
import time
from unittest.mock import Mock, patch
class StartupProbe:
def __init__(self, init_time):
self.init_time = init_time
self.ready = False
def initialize(self):
time.sleep(self.init_time)
self.ready = True
return self.ready
def run_startup_probe(probe):
…
How to Replace Fields in an Immutable Dataclass in Python
Create a new copy of a frozen dataclass with selected fields changed, leaving the original unchanged.
from dataclasses import dataclass, replace
@dataclass(frozen=True)
class ServerConfig:
name: str
cpu: int = 2
ram: int = 4096
tags: tuple = ()
original = ServerConfig("web-01", cpu=4, tags=("env:prod",))
updated = replace(original, ram=8192, tags=("env:prod", "region:us-east"))
print("Original:", …
How to Roll Back to a Previous Image Tag in Python
A dataclass-based mock registry that tracks image tag history and rolls back to the previous tag, useful for deployment rollback logic.
"""Demonstrates a rollback pattern for a Docker-style image tag registry."""
from dataclasses import dataclass, field
@dataclass
class ImageRegistry:
"""A minimal mock registry tracking current tags per image."""
tags: dict[str, list[str]] = field(default_factory=dict)
def push(self, image: str, tag: …
How to Simulate a Packer AMI Build in Python
A simple Python class that mimics a Packer AMI build lifecycle — creates a build object, transitions its state to completed, and prints a JSON snapshot.
import json
class PackerBuildMock:
def __init__(self, name, ami_id, region="us-east-1", state="pending"):
self.name = name
self.ami_id = ami_id
self.region = region
self.state = state
def build(self):
if self.state == "pending":
self.state = "completed"
…
How to mock resource request limits in Python
A Python class that simulates CPU and memory limit checks for resource requests, returning clear acceptance or rejection messages.
class ResourceLimits:
def __init__(self, cpu_limit, memory_limit):
self.cpu_limit = cpu_limit
self.memory_limit = memory_limit
def check_request(self, cpu, memory):
if cpu > self.cpu_limit:
return "CPU limit exceeded: {cpu} > {limit}".format(cpu=cpu, limit=self.cpu_limit)
…
How to simulate GitLab CI stages in Python
Build a lightweight Python mock of GitLab CI pipeline stages to test job sequencing and output locally.
def mock_gitlab_ci_stages():
stages = ["build", "test", "deploy"]
stage_status = {}
for stage in stages:
jobs = []
if stage == "build":
jobs = ["compile", "package"]
elif stage == "test":
jobs = ["unit", "integration", "e2e"]
elif stage == "deploy":…
How to simulate a Jenkins pipeline in Python
Simulate a Jenkins-style pipeline in Python by running sequential stages and checking aggregate success.
def run_stage(name, duration, fn):
print(f"[Pipeline] Running stage: {name}")
result = fn()
print(f"[Pipeline] Stage '{name}' completed in {duration}s -> {result}")
return result
def build_project():
print(" compiling source...")
return "BUILD_OK"
def run_tests():
print(" executing unit…
How to simulate a database migration init container mock in Python
A mock init container that runs environment checks and a staged database migration job before the main application starts, printing progress to stdout.
```python
class MigrationJob:
def __init__(self, name, steps):
self.name = name
self.steps = steps
self.current_step = 0
self.status = "pending"
def run(self):
print(f"Initializing migration job: {self.name}")
for step in self.steps:
self.current_ste…
PodDisruptionBudget minAvailable in Python
Simulate a Kubernetes PodDisruptionBudget check for minAvailable and maxUnavailable constraints with a Python class.
class PodDisruptionBudget:
def __init__(self, name, min_available=None, max_unavailable=None):
self.name = name
self.min_available = min_available
self.max_unavailable = max_unavailable
def check_availability(self, ready_pods):
if self.min_available is not None:
ret…
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