Real-World Applications of Firecracker 🔥

08/01/2025 08/01/2025 virtualization 13 mins read
Table Of Contents

Introduction

While understanding the technical aspects of Firecracker is crucial, seeing how it can be applied in real-world scenarios helps demonstrate its true potential. This guide explores practical implementations and use cases that showcase Firecracker’s capabilities in different environments.

Scenario 1: Continuous Integration Environment

Let’s create a CI environment where each build runs in its own isolated MicroVM. This ensures complete isolation between builds and prevents any potential interference.

ci-environment-setup.sh
#!/bin/bash
# Configuration
VM_ID=$1
BUILD_ID=$2
KERNEL="/var/lib/firecracker/kernel/vmlinux-5.10"
ROOTFS="/var/lib/firecracker/rootfs/debian-ci.ext4"
# Create network interface
ip tuntap add dev tap${VM_ID} mode tap
ip link set tap${VM_ID} up
brctl addif br0 tap${VM_ID}
# Start Firecracker
cat <<EOF > /tmp/vm${VM_ID}-config.json
{
"boot-source": {
"kernel_image_path": "${KERNEL}",
"boot_args": "console=ttyS0 reboot=k panic=1 pci=off"
},
"drives": [
{
"drive_id": "rootfs",
"path_on_host": "${ROOTFS}",
"is_root_device": true,
"is_read_only": false
}
],
"network-interfaces": [
{
"iface_id": "eth0",
"guest_mac": "AA:FC:00:00:${VM_ID}:01",
"host_dev_name": "tap${VM_ID}"
}
],
"machine-config": {
"vcpu_count": 2,
"mem_size_mib": 2048
}
}
EOF
# Run the build in isolated environment
firecracker --api-sock /tmp/firecracker-${VM_ID}.socket --config-file /tmp/vm${VM_ID}-config.json

This setup ensures each build runs in complete isolation, preventing issues like cached dependencies or leftover processes from affecting subsequent builds.

Scenario 2: Development Sandbox Environment

Create an automated system for developers to spin up isolated development environments quickly.

dev-sandbox-manager.py
import os
import json
import subprocess
from flask import Flask, request, jsonify
app = Flask(__name__)
class SandboxManager:
def __init__(self):
self.base_kernel = "/var/lib/firecracker/kernel/vmlinux-5.10"
self.base_rootfs = "/var/lib/firecracker/rootfs/dev-environment.ext4"
self.vm_configs = {}
def create_sandbox(self, dev_id, project_type):
# Create a copy of base rootfs for this developer
dev_rootfs = f"/var/lib/firecracker/rootfs/dev-{dev_id}.ext4"
subprocess.run(["cp", self.base_rootfs, dev_rootfs])
# Configure network
tap_device = f"tap{dev_id}"
subprocess.run([
"ip", "tuntap", "add",
"dev", tap_device,
"mode", "tap"
])
subprocess.run(["ip", "link", "set", tap_device, "up"])
subprocess.run(["brctl", "addif", "br0", tap_device])
# Create VM configuration
config = {
"boot-source": {
"kernel_image_path": self.base_kernel,
"boot_args": "console=ttyS0 reboot=k panic=1 pci=off"
},
"drives": [{
"drive_id": "rootfs",
"path_on_host": dev_rootfs,
"is_root_device": True,
"is_read_only": False
}],
"network-interfaces": [{
"iface_id": "eth0",
"guest_mac": f"AA:FC:00:00:{dev_id:02x}:01",
"host_dev_name": tap_device
}],
"machine-config": {
"vcpu_count": 4,
"mem_size_mib": 4096
}
}
# Store configuration
self.vm_configs[dev_id] = config
return config
sandbox_manager = SandboxManager()
@app.route('/sandbox', methods=['POST'])
def create_sandbox():
data = request.get_json()
dev_id = data.get('dev_id')
project_type = data.get('project_type')
config = sandbox_manager.create_sandbox(dev_id, project_type)
return jsonify({"status": "success", "config": config})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000)

Scenario 3: Security Testing Environment

Create isolated environments for security testing and vulnerability scanning.

security-lab-setup.sh
#!/bin/bash
# Configuration
LAB_NAME=$1
TOOLS_LIST=$2
# Create a fresh rootfs for security testing
dd if=/dev/zero of=/tmp/security-lab.ext4 bs=1G count=20
mkfs.ext4 /tmp/security-lab.ext4
# Mount and prepare the rootfs
mkdir -p /mnt/security-lab
mount /tmp/security-lab.ext4 /mnt/security-lab
# Install base system and security tools
debootstrap --include=$(echo $TOOLS_LIST | tr ',' ' ') \
bullseye /mnt/security-lab http://deb.debian.org/debian/
# Configure network isolation
cat <<EOF > /mnt/security-lab/etc/network/interfaces
auto eth0
iface eth0 inet static
address 172.16.0.2
netmask 255.255.255.0
gateway 172.16.0.1
EOF
# Add security hardening
cat <<EOF > /mnt/security-lab/etc/sysctl.d/99-security.conf
net.ipv4.ip_forward = 0
net.ipv4.conf.all.accept_redirects = 0
net.ipv4.conf.default.accept_redirects = 0
net.ipv4.conf.all.secure_redirects = 0
net.ipv4.conf.default.secure_redirects = 0
net.ipv4.conf.all.accept_source_route = 0
net.ipv4.conf.default.accept_source_route = 0
EOF
# Prepare VM configuration
cat <<EOF > /tmp/security-lab-config.json
{
"boot-source": {
"kernel_image_path": "/var/lib/firecracker/kernel/vmlinux-5.10",
"boot_args": "console=ttyS0 reboot=k panic=1 pci=off ip=172.16.0.2::172.16.0.1:255.255.255.0::eth0:off"
},
"drives": [
{
"drive_id": "rootfs",
"path_on_host": "/tmp/security-lab.ext4",
"is_root_device": true,
"is_read_only": false
}
],
"network-interfaces": [
{
"iface_id": "eth0",
"guest_mac": "AA:FC:00:00:00:01",
"host_dev_name": "tap0"
}
],
"machine-config": {
"vcpu_count": 2,
"mem_size_mib": 4096
}
}
EOF

Scenario 4: Serverless Function Testing

Create an environment for testing serverless functions locally with realistic isolation.

serverless-test-environment.py
import os
import json
import uuid
import asyncio
from aiohttp import web
class FunctionRunner:
def __init__(self):
self.vm_pool = []
self.max_vms = 10
self.base_config = self._load_base_config()
def _load_base_config(self):
return {
"boot-source": {
"kernel_image_path": "/var/lib/firecracker/kernel/vmlinux-5.10",
"boot_args": "console=ttyS0 reboot=k panic=1 pci=off"
},
"drives": [{
"drive_id": "rootfs",
"path_on_host": "/var/lib/firecracker/rootfs/lambda-base.ext4",
"is_root_device": True,
"is_read_only": True
}],
"machine-config": {
"vcpu_count": 1,
"mem_size_mib": 128
}
}
async def create_function_vm(self, function_code):
vm_id = str(uuid.uuid4())
# Create overlay filesystem for this function
overlay_path = f"/tmp/function-{vm_id}.ext4"
os.system(f"dd if=/dev/zero of={overlay_path} bs=1M count=512")
os.system(f"mkfs.ext4 {overlay_path}")
# Configure VM
config = self.base_config.copy()
config["drives"].append({
"drive_id": "overlay",
"path_on_host": overlay_path,
"is_root_device": False,
"is_read_only": False
})
# Start VM and return handle
return await self._start_vm(vm_id, config)
async def _start_vm(self, vm_id, config):
# Implementation details for starting VM
pass
async def execute_function(self, function_code, event):
vm = await self.create_function_vm(function_code)
try:
result = await vm.invoke(event)
return result
finally:
await vm.cleanup()
app = web.Application()
runner = FunctionRunner()
async def handle_function(request):
data = await request.json()
result = await runner.execute_function(
data['function_code'],
data['event']
)
return web.json_response(result)
app.router.add_post('/functions/invoke', handle_function)
if __name__ == '__main__':
web.run_app(app)

Scenario 5: Multi-tenant Application Testing

Create an environment for testing multi-tenant applications with proper isolation.

multi-tenant-test.py
import asyncio
import docker
from typing import Dict, List
import yaml
class TenantEnvironment:
def __init__(self, tenant_id: str, config: Dict):
self.tenant_id = tenant_id
self.config = config
self.networks: List[str] = []
self.vms: List[str] = []
async def setup(self):
# Create isolated network for tenant
network_config = await self._create_network()
# Setup application components
await self._setup_components()
# Configure monitoring
await self._setup_monitoring()
async def _create_network(self):
# Implementation for creating isolated network
pass
async def _setup_components(self):
# Setup different application components in isolated VMs
pass
async def _setup_monitoring(self):
# Setup monitoring for this tenant's environment
pass
class MultiTenantTestManager:
def __init__(self, config_file: str):
self.config = self._load_config(config_file)
self.tenant_environments: Dict[str, TenantEnvironment] = {}
def _load_config(self, config_file: str) -> Dict:
with open(config_file) as f:
return yaml.safe_load(f)
async def create_tenant_environment(self, tenant_id: str):
env = TenantEnvironment(tenant_id, self.config)
await env.setup()
self.tenant_environments[tenant_id] = env
return env
async def run_tests(self, test_suite: str):
# Run tests across all tenant environments
pass
async def cleanup(self):
# Cleanup all tenant environments
pass

Scenario 6: Edge Computing Simulation

Create an environment to simulate edge computing scenarios with multiple interconnected MicroVMs.

edge-compute-simulator.py
import asyncio
import networkx as nx
from dataclasses import dataclass
from typing import Dict, List
@dataclass
class EdgeNode:
node_id: str
location: tuple
capacity: Dict
connections: List[str]
vm_config: Dict
class EdgeComputeSimulator:
def __init__(self, topology_file: str):
self.topology = self._load_topology(topology_file)
self.nodes: Dict[str, EdgeNode] = {}
self.network = nx.Graph()
def _load_topology(self, topology_file: str):
# Load network topology from file
pass
async def create_edge_node(self, node_config: Dict):
# Create Firecracker VM for edge node
node_id = node_config['id']
# Configure networking for this node
network_config = self._create_network_config(node_config)
# Create VM configuration
vm_config = {
"boot-source": {
"kernel_image_path": "/var/lib/firecracker/kernel/vmlinux-5.10",
"boot_args": f"console=ttyS0 reboot=k panic=1 pci=off ip={network_config['ip']}"
},
"drives": [{
"drive_id": "rootfs",
"path_on_host": f"/var/lib/firecracker/rootfs/edge-{node_id}.ext4",
"is_root_device": True,
"is_read_only": False
}],
"network-interfaces": [{
"iface_id": "eth0",
"guest_mac": f"AA:FC:00:{node_id:02x}:00:01",
"host_dev_name": f"tap{node_id}"
}],
"machine-config": {
"vcpu_count": node_config.get('vcpu', 1),
"mem_size_mib": node_config.get('memory', 512)
}
}
# Create and store node
node = EdgeNode(
node_id=node_id,
location=node_config['location'],
capacity=node_config['capacity'],
connections=node_config['connections'],
vm_config=vm_config
)
self.nodes[node_id] = node
return node
def _create_network_config(self, node_config: Dict):
# Create network configuration for edge node
ip = f"172.16.{node_config['subnet']}.{node_config['host']}/24"
return {
"ip": ip,
"gateway": f"172.16.{node_config['subnet']}.1"
}
async def simulate_network_conditions(self):
# Simulate different network conditions between nodes
for edge1, edge2 in self.network.edges():
# Apply network latency and bandwidth constraints
latency = self.network[edge1][edge2].get('latency', '20ms')
bandwidth = self.network[edge1][edge2].get('bandwidth', '100mbit')
os.system(f"tc qdisc add dev {edge1}-{edge2} root netem delay {latency}")
os.system(f"tc qdisc add dev {edge1}-{edge2} root tbf rate {bandwidth} burst 32kbit latency 400ms")
async def deploy_application(self, app_config: Dict):
# Deploy application across edge nodes
for node_id, deployment in app_config['deployments'].items():
node = self.nodes[node_id]
await self._deploy_to_node(node, deployment)
async def _deploy_to_node(self, node: EdgeNode, deployment: Dict):
# Implementation for deploying to specific node
pass
# Example usage
async def main():
simulator = EdgeComputeSimulator('topology.yaml')
# Create edge nodes
nodes = [
{'id': '01', 'location': (40.7128, -74.0060), 'subnet': 1, 'host': 2},
{'id': '02', 'location': (34.0522, -118.2437), 'subnet': 1, 'host': 3},
{'id': '03', 'location': (51.5074, -0.1278), 'subnet': 1, 'host': 4}
]
for node_config in nodes:
await simulator.create_edge_node(node_config)
# Simulate network conditions
await simulator.simulate_network_conditions()
# Deploy application
app_config = {
'deployments': {
'01': {'components': ['web', 'cache']},
'02': {'components': ['database']},
'03': {'components': ['analytics']}
}
}
await simulator.deploy_application(app_config)
if __name__ == '__main__':
asyncio.run(main())

Scenario 7: Microservices Testing Environment

Create an environment for testing microservices interactions with proper isolation and network control.

microservices-test-env.py
import asyncio
import yaml
from typing import Dict, List
from dataclasses import dataclass
@dataclass
class ServiceConfig:
name: str
version: str
dependencies: List[str]
resources: Dict
config: Dict
class MicroservicesTestEnvironment:
def __init__(self, config_file: str):
self.config = self._load_config(config_file)
self.services: Dict[str, ServiceConfig] = {}
self.vms: Dict[str, Dict] = {}
def _load_config(self, config_file: str) -> Dict:
with open(config_file) as f:
return yaml.safe_load(f)
async def create_service_vm(self, service: ServiceConfig):
"""Create a Firecracker VM for a specific microservice"""
vm_id = f"{service.name}-{service.version}"
# Create rootfs for service
rootfs_path = f"/var/lib/firecracker/rootfs/{vm_id}.ext4"
self._prepare_service_rootfs(service, rootfs_path)
# Configure VM
config = {
"boot-source": {
"kernel_image_path": "/var/lib/firecracker/kernel/vmlinux-5.10",
"boot_args": "console=ttyS0 reboot=k panic=1 pci=off"
},
"drives": [{
"drive_id": "rootfs",
"path_on_host": rootfs_path,
"is_root_device": True,
"is_read_only": False
}],
"network-interfaces": [{
"iface_id": "eth0",
"guest_mac": f"AA:FC:00:{hash(vm_id) % 256:02x}:00:01",
"host_dev_name": f"tap-{vm_id}"
}],
"machine-config": {
"vcpu_count": service.resources.get('cpu', 1),
"mem_size_mib": service.resources.get('memory', 512)
}
}
self.vms[vm_id] = config
return config
def _prepare_service_rootfs(self, service: ServiceConfig, rootfs_path: str):
# Prepare rootfs with service dependencies and configuration
pass
async def setup_service_network(self, service: ServiceConfig):
"""Configure network for service and its dependencies"""
vm_id = f"{service.name}-{service.version}"
# Create tap device for service
os.system(f"ip tuntap add dev tap-{vm_id} mode tap")
os.system(f"ip link set tap-{vm_id} up")
os.system(f"brctl addif br0 tap-{vm_id}")
# Setup network policies for service dependencies
for dependency in service.dependencies:
self._setup_network_policy(service.name, dependency)
def _setup_network_policy(self, service: str, dependency: str):
# Implement network policies between services
pass
async def deploy_services(self):
"""Deploy all services in the configuration"""
for service_name, service_config in self.config['services'].items():
service = ServiceConfig(
name=service_name,
version=service_config['version'],
dependencies=service_config.get('dependencies', []),
resources=service_config.get('resources', {}),
config=service_config.get('config', {})
)
# Create and configure VM for service
await self.create_service_vm(service)
await self.setup_service_network(service)
async def run_integration_tests(self):
"""Run integration tests across services"""
# Implementation for running tests
pass
# Example usage
async def main():
env = MicroservicesTestEnvironment('services-config.yaml')
await env.deploy_services()
await env.run_integration_tests()
if __name__ == '__main__':
asyncio.run(main())

Scenario 8: Load Testing Environment

Create an environment for performing load tests with proper resource isolation.

load-test-environment.py
import asyncio
import statistics
from dataclasses import dataclass
from typing import Dict, List
@dataclass
class LoadTestConfig:
target_url: str
concurrent_users: int
ramp_up_time: int
test_duration: int
scenarios: List[Dict]
class LoadTestEnvironment:
def __init__(self, config: LoadTestConfig):
self.config = config
self.vms: List[str] = []
self.results: List[Dict] = []
async def setup_load_generators(self):
"""Create VMs for load generation"""
vms_needed = self._calculate_required_vms()
for i in range(vms_needed):
vm_id = f"loadgen-{i:03d}"
# Create VM configuration
config = {
"boot-source": {
"kernel_image_path": "/var/lib/firecracker/kernel/vmlinux-5.10",
"boot_args": "console=ttyS0 reboot=k panic=1 pci=off"
},
"drives": [{
"drive_id": "rootfs",
"path_on_host": "/var/lib/firecracker/rootfs/loadgen.ext4",
"is_root_device": True,
"is_read_only": True
}],
"network-interfaces": [{
"iface_id": "eth0",
"guest_mac": f"AA:FC:00:00:{i:02x}:01",
"host_dev_name": f"tap{i}"
}],
"machine-config": {
"vcpu_count": 2,
"mem_size_mib": 1024
}
}
# Create network interface
os.system(f"ip tuntap add dev tap{i} mode tap")
os.system(f"ip link set tap{i} up")
os.system(f"brctl addif br0 tap{i}")
self.vms.append(vm_id)
def _calculate_required_vms(self) -> int:
"""Calculate number of VMs needed based on load parameters"""
users_per_vm = 1000 # Adjust based on your needs
return max(1, self.config.concurrent_users // users_per_vm)
async def run_load_test(self):
"""Execute load test across all VMs"""
# Distribute load across VMs
users_per_vm = self.config.concurrent_users // len(self.vms)
tasks = []
for vm_id in self.vms:
task = asyncio.create_task(
self._run_load_test_on_vm(vm_id, users_per_vm)
)
tasks.append(task)
results = await asyncio.gather(*tasks)
self.results.extend(results)
async def _run_load_test_on_vm(self, vm_id: str, user_count: int):
"""Run load test on specific VM"""
# Implementation for running load test on VM
pass
def analyze_results(self) -> Dict:
"""Analyze load test results"""
response_times = [r['response_time'] for r in self.results]
return {
'avg_response_time': statistics.mean(response_times),
'p95_response_time': statistics.quantiles(response_times, n=20)[18],
'p99_response_time': statistics.quantiles(response_times, n=100)[98],
'total_requests': len(response_times),
'success_rate': sum(1 for r in self.results if r['success']) / len(self.results)
}
# Example usage
async def main():
config = LoadTestConfig(
target_url="http://target-service:8080",
concurrent_users=5000,
ramp_up_time=300,
test_duration=3600,
scenarios=[
{'name': 'browse_catalog', 'weight': 0.4},
{'name': 'add_to_cart', 'weight': 0.3},
{'name': 'checkout', 'weight': 0.3}
]
)
env = LoadTestEnvironment(config)
await env.setup_load_generators()
await env.run_load_test()
results = env.analyze_results()
print(f"Load Test Results: {results}")
if __name__ == '__main__':
asyncio.run(main())

These scenarios demonstrate the versatility of Firecracker MicroVMs in different use cases. Each scenario includes detailed implementation examples and considerations for:

  1. Resource isolation
  2. Network configuration
  3. Performance monitoring
  4. Data collection and analysis
  5. Automation and orchestration

The examples can be extended and modified based on specific requirements while maintaining the core benefits of Firecracker: rapid startup times, strong isolation, and efficient resource utilization.

Remember to always follow best practices for security and resource management when implementing these scenarios in production environments.