Cloud
189 bites tagged Cloud — interview questions with model answers, and 60-second explainers.
Managed ML Platforms: Heroku for Machine Learning
A managed ML platform is like Heroku for machine learning, providing an integrated environment for the entire model lifecycle. Use it to build, train, and deploy models without managing servers, data pipelines, or inference endpoints yourself.
MapReduce: Divide and Conquer for Big Data
MapReduce breaks a huge data job into smaller, parallel tasks across a cluster. It's ideal for batch processing massive datasets, like indexing the web. The common footgun is using it for real-time queries; it's built for throughput, not speed.
Cloud Unit Economics: Tying Spend to Value
Instead of just a total cloud bill, unit economics calculates cost per meaningful unit, like 'cost per customer.' This helps justify rising costs with business growth and lets product owners make data-driven pricing tradeoffs.
Cost Anomaly Detection: Catching Runaway Cloud Bills
Think of cost anomaly detection as a fraud alert for your cloud bill. It uses machine learning to learn your normal spending patterns and automatically flags unexpected spikes before they become a crisis.
Start/Stop Automation: Pay Only For What You Use
Start/stop automation is like putting your cloud resources on a timer to save money. It's essential for non-production environments like dev and staging used only during business hours.
Showback vs. Chargeback: Who Pays the Cloud Bill?
Showback shows teams their cloud costs for visibility; Chargeback makes them pay for it by moving costs to their budget. This helps control cloud spend by making engineers cost-aware. The footgun is treating Chargeback as inherently more mature than Showback.
FinOps Framework: Aligning Cloud Cost with Business Value
FinOps treats cloud spend as a business metric, not just an IT cost. It provides a shared framework for engineering, finance, and business to collaborate on data-driven spending decisions.
Cloud Budgets: Your Guardrail Against Overspending
A cloud budget is a spending alarm for your cloud account. It warns you when costs approach a limit you've set, preventing surprise bills. Use it to track monthly spend or monitor usage. The main footgun: billing data lags, so you can overspend before an.
AWS Cost Explorer: Visualize and Forecast Your Cloud Spend
Cost Explorer is your cloud bill's interactive dashboard, turning raw data into trend graphs and forecasts. Use it to find which service is driving up costs or to predict next quarter's bill. The main footgun: once enabled, it cannot be disabled.
Consolidated Billing: Combine Cloud Bills for Bigger Discounts
Consolidated Billing is like a family phone plan for AWS accounts. It rolls multiple accounts into one bill, letting you share volume and savings plan discounts across the entire organization.
Cloud Cost Management: Taming Your Bill
Treat cloud spend like a utility bill you can actively control, not a fixed cost. It's essential when your AWS, GCP, or Azure bill is growing unpredictably. The biggest footgun is treating cost management as a one-time cleanup instead of a continuous process.
SLIs & SLOs: Measuring What Matters for Service Reliability
SLIs are what you measure (e.g., latency); SLOs are the target you aim for (e.g., 99% success). They replace vague feelings about service health with concrete numbers. This is how SREs define and manage reliability.
Centralized Logging: A Universal Inbox for Your Systems
Centralized logging is a universal inbox for all your system events. Instead of SSHing into each server, agents forward logs to one searchable location, making it possible to debug issues that span multiple services. The footgun is inconsistent log formats.
Serverless State Machines: The Conductor for Your Functions
A serverless state machine is the conductor for your microservices, telling each function when to run and how to handle errors. It's built for multi-step processes like ETL pipelines or coordinating parallel tasks. The footgun is creating a visual monolith.
AWS SAM: A Shorthand for Serverless on AWS
Think of AWS SAM as a developer-friendly shorthand for defining serverless applications. It simplifies creating Lambda functions and APIs by abstracting away verbose CloudFormation syntax, letting you build and test locally before deploying.
Dead-Letter Queues: A Message Queue's Lost-and-Found
A Dead-Letter Queue (DLQ) is a message queue's lost-and-found, catching messages that can't be delivered. It's used to isolate "poison pill" messages that crash consumers or messages that have expired.
Serverless Cold Starts: The Price of 'Pay-per-Use'
A serverless cold start is the initial delay when a function boots from scratch, like waking a computer from being off versus asleep. It happens on the first request or after inactivity.
API Gateway: The Front Door for Your Microservices
An API Gateway is the single front door for all your backend services. It handles tasks like authentication and rate limiting before routing requests to the correct microservice. The footgun is treating it as a simple proxy; it can become a bottleneck.
Managed Kubernetes: Your Cloud's K8s Control Plane
A managed Kubernetes service (EKS, AKS, GKE) runs the complex K8s control plane for you, letting you focus on deploying apps, not managing infrastructure. Use it to run containers without the overhead of maintaining masters.
Kubernetes Control Plane: The Cluster's Brain
The Kubernetes control plane is the cluster's brain, making all global decisions like scheduling pods and responding to events. You interact with it via `kubectl` to manage your applications. The footgun: never run your own workloads on control plane nodes.
Containerization: Packaging Apps to Run Anywhere
Think of a container as a standardized box for your app, bundling its code and all dependencies. This ensures it runs the same everywhere, solving "it works on my machine" problems. The footgun is confusing them with VMs; containers are less isolated.
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.
The Twelve-Factor App: A Blueprint for Portable Cloud Apps
The Twelve-Factor App is a blueprint for building portable, resilient cloud apps. It's used for microservices or apps on platforms like Kubernetes, ensuring they can be easily deployed and scaled. The footgun is treating it as dogma, not a guide.
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…
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