From Kubernetes to Terraform — practical questions written by a developer, drilled with Gnoseed's spaced repetition so the concepts stick for good.
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Pick a track and preview the kind of practical questions Gnoseed drills you on — no trivia, just what matters on the job.
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.
2,944 questions across 23 categories. Each category holds a set of focused quizzes you can drill independently.
Cluster architecture, workloads, networking, storage, config and security — plus ops and real-world scenarios.
How models work, prompt engineering, building apps, customizing and deploying LLMs in production.
Practical DevOps Linux, Bash & shell scripting, plus the full LPIC-1 101 & 102 exam objectives.
Version control with Git and collaboration on GitHub — branching, merging, remotes, pull requests, GitHub Actions, and repository governance.
Shift-left culture, the software factory and CI/CD, containers and service mesh, zero trust, and cATO governance.
HashiCorp Terraform Associate — fundamentals through advanced state and modules.
Protocols, status codes, headers, TLS and the request lifecycle — plus the nginx web server and reverse proxy.
Cloud fundamentals for the CLF-C02 exam — cloud concepts and economics, the shared responsibility model and IAM, core compute, storage, networking and database services, global infrastructure, and billing, pricing and support.
Frontend architecture at scale — the landscape, principles, DDD, composition, communication and modern tooling.
Continuous delivery the GitOps way — the OpenGitOps principles, Argo CD and the Application model, repo patterns and sync strategies, and the Flux toolkit for multi-cluster.
Agentless configuration management — inventory, modules and idempotency, playbooks with handlers and Jinja2 templates, roles and collections, plus Vault, loops and privilege escalation.
Charts, templating, releases, values and the Helm package workflow.
Types and data structures, control flow, functions, OOP and the gotchas every Pythonista should know.
Queries, joins, aggregation, window functions, data modeling and transactions — standard SQL for every engine.
JSONB, index strategies, EXPLAIN, MVCC and vacuum, and the day-two operations of the world’s favorite open-source database.
Sidecars and ambient mode, traffic management, mTLS, resilience and mesh observability — Istio and Linkerd concepts.
Metrics, PromQL, exporters, alerting and observability fundamentals.
Syntax, goroutines, channels, interfaces and idiomatic Go patterns.
Images, layers, Dockerfiles, volumes, networks and container basics.
The three signals and RED/USE, structured logging and Loki, distributed tracing with spans and sampling, OpenTelemetry, and Grafana.
Authentication, access control, input validation, crypto and safe logging — app-security fundamentals.
Reliability targets and error budgets, incident management, toil and automation, DORA metrics, and resilience practices.
Types, scope, closures, async and the quirks every dev should know.
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