Production Workloads on Kubernetes
Move beyond basic manifests and learn how to run resilient, self-healing services in production. Master probe mechanics, resource limits, systematic triage, and zero-downtime rollout strategies.
Like Duolingo, but for Production Workloads on Kubernetes. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.
A short one: 12 levels across 2 sections, about 24 minutes end to end, roughly 5 days at five minutes a day. It moves through Configuring Workload Reliability and Operating and Surviving Failure in Production. It assumes you already know the basics.
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Key ideas in Production Workloads on Kubernetes
- Readiness probe failures only remove the pod from Service endpoints to halt inbound traffic.
- Liveness probe failures force the kubelet to restart the container rather than simply shedding load.
- Restarting an overloaded pod redistributes its active traffic onto fewer surviving pods, accelerating failures.
- A startupProbe disables liveness and readiness checks until its own condition succeeds.
- Without startup probes, slow initialization forces operators to inflate liveness timeouts across the entire lifecycle.
- Once a startup probe succeeds, the kubelet hands over ongoing container monitoring to the standard probes.
- The kubelet sends SIGTERM to container processes to trigger their graceful teardown handlers.
- Applications must intercept SIGTERM to complete active HTTP connections and finish database commits.
- The kubelet only issues an uncatchable SIGKILL after the terminationGracePeriodSeconds deadline passes.
- Kubernetes endpoint removal and container termination signals execute concurrently, not sequentially.
- kube-proxy and load balancers need a brief propagation window to update iptables after endpoint deletion.
- A preStop sleep hook delays SIGTERM, keeping the container serving traffic until route updates propagate.
- Probing external dependencies like databases links pod survival to shared external infrastructure.
- If a shared database degrades, external dependency checks can cause Kubernetes to mark every pod unready or kill them all.
- Probe endpoints should only evaluate local process health, internal worker threads, and memory status.
- Kube-scheduler only inspects container requests when placing a pod on a node.
You've tried the other tabs
Thirty open tabs. Four facts you actually kept.
You watched. You nodded. By Sunday it was gone.
One answer, then back to scrolling.
Eight weeks. You meant to finish. You didn't.
Tomo gives Production Workloads on Kubernetes the Duolingo treatment: levels, streaks, and quick quizzes that test what you just learned. That game loop is what the tabs above never had, so it's the one you actually finish.
Here's what playing it feels like
A real question from this course. Take your best guess.
What action does Kubernetes take when a container fails its liveness probe?
Get it right to open this lesson and 11 more in the app.
Where Production Workloads on Kubernetes takes you
- 1
Configuring Workload Reliability
- Designing Health Checks and Graceful Lifecycles
- Managing Resource Guarantees and Throttling
- 2
Operating and Surviving Failure in Production
- Systematic Pod and Service Triage
- Zero-Downtime Updates and Cluster Resilience
2 sections · 4 units · 12 levels. Built to play, not to enroll.
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You pick the voice
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