Deployment
130 bites tagged Deployment — interview questions with model answers, and 60-second explainers.
Automated Canary Analysis: Let the Metrics Decide
Automated canary analysis uses metrics to decide if a new release is safe. It compares a new 'canary' version against the stable 'baseline' in production, scoring its health before a full rollout.
BentoML: Packaging Models for Production APIs
BentoML is a standardized shipping container for your ML models, packaging them into production-ready API endpoints. Use it to deploy LLMs or RAG systems without managing complex infrastructure. Its focus is purely on inference, not model training.
CD4ML: Automating ML from Data to Deployment
CD4ML extends CI/CD to manage ML's three axes of change: code, data, and models. It automates the entire lifecycle, enabling reliable updates for systems like sales forecasting.
ONNX Runtime: Run Any AI Model, Anywhere
ONNX Runtime is a universal engine for AI models, letting you run them efficiently on any hardware, from cloud GPUs to a user's browser. It's used to deploy models for fast inference on servers or mobile devices.
Phased Release: De-Risking App Updates
A phased release is like slowly opening a floodgate for your app update. It rolls out to a small percentage of users first, letting you monitor for crashes before it reaches everyone and limiting the blast radius of a bad bug.
Navigating Apple's App Store Submission and Review
Think of App Store submission as a strict gatekeeping process, not just an upload. You must prove your app is safe, reliable, and transparent via App Store Connect.
TestFlight: Apple's Beta Testing Framework
TestFlight is your private App Store for beta builds. Use it to distribute pre-release versions to internal teams and external testers for feedback before a public launch. The footgun: external tester builds require a beta App Review, unlike internal builds.
App Store Connect: Your App's Mission Control
Think of App Store Connect as your app's mission control. It’s the web portal for managing your app's lifecycle after coding, from uploading builds and running TestFlight betas to submitting for final review.
Flutter for Web: Build and Deploy
Flutter for Web compiles your Dart code into a web app. Use `flutter build web` and choose a renderer: HTML for smaller size or CanvasKit for performance. The footgun is the initial download size, which can be large and slow down first-page load.
Flutter Desktop App Packaging: From Code to Executable
Flutter desktop packaging bundles your Dart code into a native executable for users. Instead of just running `flutter run`, you use platform-specific build commands to create a distributable file, like a .app on macOS or an .exe on Windows.
Flutter Flavors: One Codebase, Multiple App Versions
Flutter Flavors let you build multiple app versions from one codebase, like a kitchen making different dishes from the same ingredients. Use them to manage separate API endpoints and branding for dev, staging, and prod.
iOS Code Signing: Apple's Digital Notary for Apps
iOS code signing is like a digital notary stamp for your app. It proves to Apple you're a trusted developer and the code hasn't been tampered with. It's mandatory for running on physical devices or submitting to the App Store.
Android App Signing: Your App's Digital Seal
Think of app signing as a digital seal for your Android app. It proves you are the author and the code hasn't been tampered with, a mandatory step for Google Play release. The biggest footgun is losing your private key, which locks you out of.
Imperative kubectl: Directly Command Your Cluster
Imperative `kubectl` is like giving direct orders to your cluster: 'run this,' 'scale that.' It's great for quick, one-off tasks like debugging a pod or handling an incident.
Recreate Deployment: Downtime for a Clean Slate
The Recreate strategy is like flipping a switch: it shuts down all old pods before starting new ones. This guarantees downtime but is necessary for breaking changes, like a database migration. The footgun is a failed deployment leaves you with no running app.
Model Serving: Turning Trained Models into Live APIs
Model serving wraps a trained machine learning model in an API, making it a live service that can generate predictions. It's how you power features like real-time fraud detection or product recommendations.
Immutable Deployments: Treat Servers Like Cattle, Not Pets
Treat servers like cattle, not pets. Instead of modifying live servers, you deploy updates by replacing entire server fleets with new, pre-baked images. This eliminates configuration drift and simplifies rollbacks.
Promoting Code with Pipeline Stages
Think of pipeline stages as quality gates. Code must pass one gate, like 'build', before being promoted to the next, like 'deploy to staging'. This is core to CI/CD, moving code safely from dev to production. The footgun is making later stages less strict.
Rolling Updates: Deploying Code Without Downtime
A rolling update deploys new code by gradually replacing old application instances with new ones, ensuring zero downtime. It's the default for stateless services in orchestrators like Kubernetes.
AWS CodeDeploy: Automated, Safe Application Updates
AWS CodeDeploy automates pushing your application to servers, Lambda, or ECS. It handles complex updates across many targets, letting you release new features rapidly while minimizing downtime.
Procfile: Declare Your App's Startup Commands
A Procfile is the start script for your cloud app, telling the platform what commands to run. You use it to define processes like a `web` server for HTTP traffic or `worker`s for background jobs.
AWS Elastic Beanstalk: Your App, Not Your Servers
Elastic Beanstalk is a PaaS-like wrapper for AWS infrastructure. You upload your code, and it handles provisioning servers, load balancers, and scaling. It's great for standard web apps but its abstraction is leaky; debugging often requires knowing the…
Platform as a Service (PaaS): Focus on Code, Not Infrastructure
PaaS is like a managed workshop for your code; you just bring your application, and the platform handles the servers, OS, and runtime. It's used to quickly deploy web apps without managing infrastructure. The footgun is inflexibility and vendor lock-in.
Hotfix Deployment: Emergency Production Patches
A hotfix is a surgical strike on a production bug, using a dedicated branch to isolate the emergency fix. It's used for critical security flaws or severe defects that can't wait. The footgun: forgetting to merge the fix back into main, causing the bug to.
Get Deployment bites daily.
Five a day, five minutes, offline. With quizzes so it sticks.
Open testing — you’ll join as an early tester.