Kubernetes Basics for Developers: Pods, Deployments & Debugging
By Rishtaara Editorial Team10 min read
#Kubernetes#DevOps#Cloud#Containers
A developer-first Kubernetes primer — core objects, mental models, probes, and the kubectl skills that unblock real incidents.
01Why developers meet Kubernetes
Kubernetes (k8s) schedules containers across a cluster: restarts, scaling, service discovery, and rollouts. Many companies run production on it — so developers encounter Deployments, Services, and ConfigMaps even if they are not full-time SREs.
Learn the object model before memorizing kubectl flags.
02Core objects
- Pod: one or more containers scheduled together
- Deployment: desired replica count and rolling updates
- Service: stable networking to pods
- ConfigMap/Secret: configuration and sensitive values
- Ingress: HTTP routing from outside
03Developer mental model
- Declare desired state; the control plane reconciles
- Stateless apps scale easier than databases on k8s
- Readiness vs liveness probes prevent bad rollouts
- Resource requests/limits stop noisy neighbors
04First skills to practice
- kubectl get/describe/logs for debugging
- Read a Deployment YAML end to end
- Understand how a Service selects pods
- Trace a 502 from Ingress to app logs
Key takeaways
- Kubernetes reconciles declared desired state.
- Pods, Deployments, and Services are the starter vocabulary.
- Probes and resources make rollouts safer.
- Debug with describe and logs before rewriting YAML.
Frequently asked questions
Must every startup use Kubernetes?+
No. It adds power and complexity. Managed platforms or simpler hosts can be enough early on.
How is it different from Docker?+
Docker runs containers on a machine. Kubernetes orchestrates containers across a cluster.