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Cloud

189 bites tagged Cloud — interview questions with model answers, and 60-second explainers.

Cloud Platforms2 min read

Cloud Load Balancer: Your App's Traffic Cop

A cloud load balancer is a traffic cop for your servers, distributing requests across a pool of machines to prevent overload. It's essential for scaling apps and ensuring high availability.

Cloud Platforms2 min read

Cloud Instances: Renting Servers on Demand

Think of a cloud instance as renting a virtual computer. Instead of buying hardware, you launch a pre-configured virtual machine to run your applications, paying only for what you use. This is ideal for applications that need to scale up or down with demand.

Cloud Platforms2 min read

Machine Images: The Blueprint for Your Servers

A machine image is a server blueprint, packaging an OS and software into a template for launching identical virtual machines. It's used for auto-scaling and creating consistent environments.

Cloud Platforms2 min read

Virtual Machine (VM): A Computer Inside a Computer

A Virtual Machine (VM) is a complete computer simulated in software, letting you run multiple isolated operating systems on a single physical machine. This is how cloud providers rent out server space.

Cloud Platforms2 min read

FaaS: Run Code, Not Servers

FaaS lets you run code without managing servers, like renting a contractor for one task. It's ideal for event-driven actions like processing uploads or handling webhooks. The footgun is cost: for high, steady traffic, a dedicated server is often cheaper.

Cloud Platforms2 min read

Multi-cloud: Spreading Bets Across Cloud Providers

Multi-cloud is a strategy for using services from two or more cloud providers to avoid vendor lock-in. It's used to cherry-pick best-in-class services or improve resilience. The footgun is underestimating the complexity of managing disparate APIs and security.

Cloud Platforms2 min read

The Cloud's Shared Responsibility Model

Using the cloud means you share security duties with the provider. The split depends on the service: in IaaS, you manage the OS and up; in PaaS, just your app and data; in SaaS, mostly your data and users.

Cloud Platforms2 min read

Cloud Regions and AZs: Infrastructure Built for Failure

Think of a cloud region as a city and its availability zones (AZs) as independent power grids. If one AZ fails, your app runs in another. The footgun is deploying to a single AZ; this provides no protection against data center-level outages.

Cloud Platforms2 min read

High Availability: Designing Systems That Don't Go Down

High Availability (HA) means designing systems to survive failures by having redundant components ready to take over instantly. It's essential for services like payment gateways where downtime costs money and user trust.

Cloud Platforms2 min read

Cloud Scalability vs. Elasticity: Planned Growth vs. Real-Time Reaction

Think of scalability as adding lanes to a highway for long-term growth. Elasticity is opening a reversible lane only during rush hour. Scalability handles predictable demand, like a product launch; elasticity manages unpredictable spikes, like a viral post.

Cloud Platforms2 min read

CapEx vs. OpEx: The Cloud's Financial Shift

Cloud computing shifts IT spending from buying assets upfront (CapEx) to paying for services as you use them (OpEx). Think buying a car vs. hailing a ride. This model lets you scale on demand, but the biggest mistake is assuming it's always cheaper.

Cloud Platforms2 min read

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.

Cloud Platforms2 min read

Private Cloud: Cloud Computing on Your Terms

A private cloud offers cloud benefits like self-service and scalability on dedicated hardware. It's used for sensitive data or regulatory compliance. The footgun: it's not just a data center; it requires a full cloud software stack for automation.

Cloud Platforms2 min read

Public Cloud: Renting, Not Owning, Your Datacenter

Public cloud is like renting computing power instead of owning a datacenter. You get on-demand access to a shared pool of resources like servers and storage, paying only for what you use. The main footgun is cost; uncontrolled usage leads to surprise bills.

CI/CD & Automation2 min read

Secret Sprawl: When Credentials Multiply Unchecked

Secret sprawl is when credentials like API keys multiply without control, getting lost in code, config files, and CI/CD pipelines. It's common in automated cloud systems where non-human identities proliferate.

CI/CD & Automation2 min read

Cloud-Init: Bootstrapping Cloud Instances

Cloud-init is the script that runs on a generic VM's first boot to turn it into *your* server. It's used by cloud providers to apply your `user-data` (like SSH keys and startup scripts) at launch. The biggest footgun: it only runs once on first boot.

CI/CD & Automation2 min read

Pulumi: Infrastructure as Code with Real Programming Languages

Pulumi is Infrastructure as Code using real languages like Python or TypeScript, not a special DSL. This lets you use loops, functions, and classes to define resources. The main footgun is writing overly complex, clever code that becomes unmaintainable.

CI/CD & Automation2 min read

Terraform: Manage Infrastructure as Code

Terraform lets you define cloud infrastructure—servers, databases, networks—in a text file, like a blueprint. It reads this file and builds everything for you, making setups on AWS, GCP, or Azure repeatable.

CI/CD & Automation2 min read

Infrastructure as Code: Manage Servers with Code, Not Clicks

Infrastructure as Code (IaC) treats servers and networks like software: defined in files and versioned in Git. It's used to automate cloud resource provisioning on AWS or GCP, ensuring consistent, repeatable environments.

Analytics & Metrics2 min read

Snowflake: Decoupled Storage and Compute

Snowflake decouples storage from compute, acting like a shared-disk system for data management but a shared-nothing system for query performance. This lets you scale compute and storage independently, ideal for variable analytic workloads.

LLMs & Generative AI2 min read

Google's April AI Push: Gemma 4 and Agent Platform

Google's April AI update introduces the Gemma 4 open model, an eighth-generation chip, and the Gemini Enterprise Agent Platform. This signals a major push into the "agentic era," providing engineers with the foundational models, hardware, and platforms to build more autonomous AI systems. The release also includes a personalized coding tutor in Colab and the Deep Research Max data analysis tool. Evaluate Gemma 4 for your open-source needs and explore the new agent platform for building complex w

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