Practice Kubernetes, AWS, Linux, Terraform, CI/CD, System Design and troubleshooting interviews. All in one smooth platform.
Reveal quick answers, troubleshooting commands, and interactive flow diagrams instantly.
Step-by-step diagnostic process for container startup failures, exit code analysis, and logs extraction.
kubectl logs <pod> --previous to inspect stdout/stderr from the crashed process.kubectl describe pod <pod> to see if failing liveness probes are triggering restarts.# 1. Check pod events & status
kubectl get pods
kubectl describe pod <pod-name>
# 2. Inspect logs of the crashed container instance
kubectl logs <pod-name> --previous --tail=50
# 3. Check node metrics for memory/CPU pressure
kubectl top pod <pod-name>Compare persistent identifiers, network states, persistent volume mappings, and update ordering.
web-0.db), Deployments use random hashes.data-web-0). Deployments share storage.0 -> 1 -> 2). Deployments perform rolling updates in parallel.# 1. Inspect StatefulSet Pods (Note the sequence 0, 1, 2)
kubectl get statefulset db-node
kubectl get pods -l app=db-node
# 2. View persistent volume claims mapped per ordinal
kubectl get pvc -l app=db-nodePrevent concurrent runs, prevent state file corruption, and backend locks using DynamoDB or Consul.
terraform force-unlock <Lock-ID>.# 1. Initialize backend state with locking
terraform init
# 2. Apply infrastructure changes (acquires state lock automatically)
terraform apply
# 3. Emergency manual lock release (use with caution)
terraform force-unlock 98b6a1f0-0b61-46e2-8921-987818e3810aDeep dive into Pod-to-Pod CNIs, Kube-Proxy services VIP iptables, Ingress Controllers, and CoreDNS lookups.
auth-service.production.svc.cluster.local to ClusterIPs.# 1. Check CNI node communication endpoints
kubectl get pods -n kube-system -l k8s-app=calico-node
# 2. Inspect iptables rules configured for a service
iptables -t nat -L PREROUTING -n -v
# 3. Perform DNS query inside cluster container
kubectl exec -it alpine -- nslookup auth-serviceDiagnose CPU usage spikes on EKS worker nodes, container CPU limits, throttling, and threads profiling.
kubectl top nodes and kubectl top pods -A to identify which pod/node is eating capacity.htop or ps aux --sort=-%cpu to check processes.pprof for Go, pprof tools) to diagnose lock contentions.# 1. Show resource usage for nodes and pods
kubectl top nodes
kubectl top pods --all-namespaces --sort-by=cpu
# 2. Inspect node capacity details
kubectl describe node <eks-worker-node-name>
# 3. Check CPU throttling metrics for a container
kubectl exec -it <pod-name> -- cat /sys/fs/cgroup/cpu/cpu.statNo saved questions yet. Click the bookmark icon on any question card to save it here.
No recently viewed questions. Explore some questions to see them here.
Guided questions structured by technology to build operational mastery.
Master Pod orchestration, ingress control, deployments, networking, and RBAC security.
Deep dive into VPC architecture, IAM policies, RDS multi-region HA, and serverless architectures.
Optimize Dockerfile layers, container security hardening, multi-stage builds, and compose.
Manage remote backends, state locking, modular architecture, dynamic blocks, and drift.
Understand processes, file permissions, shell scripting, systemd service descriptors, and memory diagnostics.
Build automated pipelines, branch protection gates, container registries integration, and rollbacks.
Query Prometheus metrics, configure Grafana dashboards, log querying, and alertmanager rules.
Design high-availability distributed backends, caching strategies, API gateways, and rate limiters.
Practice diagnosing and fixing production-stopping alerts. Replicated from real tech incidents.
Follow a structured milestones timeline to progress from foundation concepts to elite SRE system design.
Develop core understanding of the operating system, shell scripting, container execution runtime, and standard networking protocols.
Master declarative configuration management, provisioning infrastructure as code securely, and building repeatable build pipelines.
Build scalable container orchestration systems. Understand scheduler routing rules, networking patterns, ingress, storage mapping, and IAM integrations.
Learn to instrument microservices, track metrics, aggregate application logs, and troubleshoot production incident anomalies.
Architect large-scale, fault-tolerant distributed backends. Handle network partitions, databases replication bottlenecks, caching systems, and failover routing.
Most prep sites cover basic definitions. We train you for high-pressure production scenarios.
We don't focus on simple term lookup. Practice fixing live cluster crashes, database lag events, and DNS outages.
Learn the exact command sequences (kubectl, aws, systemctl) required to query states and identify failure modes.
Tailored for Staff SRE, Lead, and Platform positions where deep architectural tradeoffs are tested.
Master config checks auditing YAML specifications, Dockerfiles layer count, and Terraform state parameters.
Bridge the gap between infrastructure deployment automation and software architecture scaling rules.
Don't just memorize questions. Gain deep architectural and operational troubleshooting skills requested by elite tech corporations.
Explore DevOps Question Bank