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Spaced-repetition flashcards

Learn Kubernetes with flashcards

Master Kubernetes concepts — fast and simple. Gnoseed flashcards powered by spaced repetition help you actually learn it — and remember it for good.

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Real questions from real practice

Pick a track and preview the kind of practical questions Gnoseed drills you on — no trivia, just what matters on the job.

CLUSTER ARCHITECTURE
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Question 1

What is the primary function of the kube-scheduler?

ABCD 4 answers to choose from
Try it yourself

Answer a question, grow a plant

Every card you recall feeds a plant in your garden — it sprouts, leafs out, and blooms once the knowledge is truly yours. Try it below and watch it grow.

Seed
Knowledge0%
SeedSproutSeedlingSaplingBudBloom
JavaScript · Question 1

What does typeof "hello" return?

Pick the answer you think is right
This is the exact loop inside Gnoseed — every review grows a plant in your knowledge garden.
Certification-ready

Available topics

Practical decks that double as solid prep for certifications like the Terraform Associate and CKA/CKAD — pick a topic and start your first session right away.

Kubernetes Basics
Container orchestration — control plane, workloads, networking, storage, configuration, and security.
Cluster ArchitectureWorkloads & PodsNetworking & ServicesStorageConfigurationSecurity
Kubernetes Scenarios
Scenario-based deep dives — production troubleshooting, HA design, disaster recovery, and real-world trade-offs.
Cluster ArchitectureWorkloads & PodsNetworking & ServicesStorageConfigurationSecurity
K8s Ops: Scheduling & Resources
What and where gets deployed — resource QoS, scheduling, network isolation, admission control, and autoscaling.
Resource ManagementPod SchedulingNetwork PoliciesAdmission ControllersAutoscaling
K8s Ops: Reliability & Security
Keeping it running — graceful shutdowns, health probes, RBAC, secrets management, and observability.
Graceful Shutdown & RolloutsHealth ProbesSecurity Context & RBAC
Go Basics
Learn Go from basics to concurrency — syntax, types, functions, pointers, error handling, and goroutines.
Go BasicsTypes & CollectionsFunctions & InterfacesPointers & StructsErrors & Concurrency
Docker Basics
Containerization fundamentals — images, Dockerfile, volumes, networking, and Docker Compose.
Containers & ImagesDockerfileVolumes & StorageNetworkingDocker Compose
Terraform Associate: Fundamentals
Infrastructure as Code with Terraform — IaC concepts, providers, the core workflow, and HCL configuration.
Infrastructure as Code (IaC)Terraform FundamentalsCore Terraform WorkflowTerraform Configuration
Terraform Associate: Advanced
Scaling Terraform — reusable modules, state management, day-two operations, and HCP Terraform.
Terraform ModulesTerraform StateMaintaining InfrastructureHCP Terraform
AI & LLM Fundamentals
How AI and LLMs actually work — tokens, next-token prediction, training, context, embeddings, limits, and model types.
What is an LLMTraining & InferenceContext, Tokens & EmbeddingsCapabilities & LimitsModel Types
Prompt Engineering
Get better results from any model — clear prompts, few-shot examples, system roles, advanced techniques, and fixing bad output.
Prompting BasicsExamples & Few-shotRoles & System PromptsAdvanced TechniquesPitfalls & Fixing Outputs
Building with LLMs
Build apps on top of models — APIs and cost, RAG, tool use and agents, vector search, and evaluation and guardrails.
APIs, Tokens & Cost
Why Gnoseed

Everything you need to learn effectively

Built for developers who want to retain knowledge, not just read it once.

🧠

Learning Algorithms

Choose between SM-2 and FSRS — two proven spaced repetition algorithms that adapt to your memory patterns for optimal retention.

📊

Progress Tracking

Track your mastery level, daily streaks, and cards due across all topics at a glance.

⚡

Auto Quality Rating

No self-assessment needed. Your answer correctness and response time determine the next review interval.

📡

Offline-First

All data stored locally in your browser. No account needed, no internet required after first load.

📚

Multiple Topics

Study Kubernetes, Go, and more — each topic with its own progress tracking and card deck.

🌙

Dark Mode

Easy on the eyes. Switch between light and dark themes with a single click.

Spaced repetition

Choose your learning algorithm

Two proven spaced repetition algorithms — pick the one that fits your style.

SM-2

Default

The classic SuperMemo algorithm. Uses a simple quality-based formula to calculate intervals between reviews. Cards you know well are shown less often, cards you struggle with come back sooner. Reliable, battle-tested, and easy to understand.

  • ✓ Simple ease-factor per card
  • ✓ Fixed interval formula
  • ✓ Predictable scheduling
  • ✓ Great for getting started
How SM-2 works →

FSRS

Free Spaced Repetition Scheduler — a modern, research-backed algorithm that models your memory stability and difficulty per card. Adapts more precisely to your learning patterns over time, optimizing for long-term retention with fewer reviews.

  • ✓ Memory stability & difficulty model
  • ✓ Adaptive interval optimization
  • ✓ Fewer reviews, better retention
  • ✓ Research-backed (2022+)
How FSRS works →

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