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Design and operate a monolith on Kubernetes
Kubernetes Core ConceptsKubernetes Resource Management and AutoscaObservabilityCI/CD Pipelines and Advanced Rollout StratMonolith vs. Microservices Trade-offs & St
Design and Operate a Monolith on Kubernetes
Context
You are joining an infrastructure team responsible for a single monolithic backend service. The company is currently not pursuing a microservices architecture or aggressive horizontal scaling.
Assume the following:
- Scale: Moderate, with peak traffic between 2,000 and 5,000 requests per second (RPS).
- Availability: High availability target across multiple availability zones.
- Deployment: Zero-downtime deployments are a strict requirement.
- Infrastructure: A single cloud provider is used, leveraging managed Kubernetes, managed databases, caches, and object storage services wherever possible.
- Workload: The monolith codebase serves a mix of web (HTTP) requests, background workers, and scheduled cron jobs.
Task
Your task is to design a comprehensive solution for running and operating this monolith on Kubernetes. Your design should address the following key areas:
- Deployment Topology:
- Define the structure of Pods and replicas.
- Explain the separation strategy for web, worker, and cron job components.
- Discuss node pools, placement strategies, and disruption policies.
- Networking and Traffic Management:
- Detail the use of Kubernetes Services and Ingress.
- Address TLS termination, rate limiting, and advanced traffic splitting techniques like canary deployments.
- Configuration and Secret Management:
- Describe how configurations and secrets are managed, including rotation strategies.
- Explain the implementation of feature flags.
- CI/CD and Rollout Strategies:
- Outline the CI/CD pipelines.
- Discuss rollout strategies such as blue/green and canary deployments, and automated rollback mechanisms.
- Resource Management and Autoscaling:
- Specify resource requests and limits for Pods.
- Explain Horizontal Pod Autoscaling (HPA), Vertical Pod Autoscaling (VPA), and cluster autoscaling.
- Address capacity buffering.
- Handling Stateful Dependencies:
- Describe interaction with external managed databases, caches, and object storage.
- Cover database migrations and connection management.
- Observability:
- Detail logging, metrics, and tracing strategies.
- Define Service Level Objectives (SLOs) and alerting mechanisms.
- Incident Response:
- Discuss runbooks, on-call procedures, kill switches, and rollback processes.
- Disaster Recovery and Backups:
- Define Recovery Time Objective (RTO) and Recovery Point Objective (RPO) targets.
- Explain backup strategies and the importance of restore drills.
- Architecture Trade-offs:
- Discuss the trade-offs between a monolith and microservices in this context.
- Identify concrete signals that would justify a transition away from the monolith.
- Propose a low-risk, incremental migration path, considering aspects like service boundaries, data ownership, API contracts, and team workflows.
AI interview prep
Core dilemma
Effectively leveraging Kubernetes' orchestration capabilities for a monolithic application to achieve high availability, zero-downtime deployments, and operational efficiency, while acknowledging the monolith's inherent limitations and preparing for future architectural evolution.
Mid-level signals3
Senior signals3
Red flags3
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Design and operate a monolith on Kubernetes
Kubernetes Core ConceptsKubernetes Resource Management and AutoscaObservabilityCI/CD Pipelines and Advanced Rollout StratMonolith vs. Microservices Trade-offs & St
Design and Operate a Monolith on Kubernetes
Context
You are joining an infrastructure team responsible for a single monolithic backend service. The company is currently not pursuing a microservices architecture or aggressive horizontal scaling.
Assume the following:
- Scale: Moderate, with peak traffic between 2,000 and 5,000 requests per second (RPS).
- Availability: High availability target across multiple availability zones.
- Deployment: Zero-downtime deployments are a strict requirement.
- Infrastructure: A single cloud provider is used, leveraging managed Kubernetes, managed databases, caches, and object storage services wherever possible.
- Workload: The monolith codebase serves a mix of web (HTTP) requests, background workers, and scheduled cron jobs.
Task
Your task is to design a comprehensive solution for running and operating this monolith on Kubernetes. Your design should address the following key areas:
- Deployment Topology:
- Define the structure of Pods and replicas.
- Explain the separation strategy for web, worker, and cron job components.
- Discuss node pools, placement strategies, and disruption policies.
- Networking and Traffic Management:
- Detail the use of Kubernetes Services and Ingress.
- Address TLS termination, rate limiting, and advanced traffic splitting techniques like canary deployments.
- Configuration and Secret Management:
- Describe how configurations and secrets are managed, including rotation strategies.
- Explain the implementation of feature flags.
- CI/CD and Rollout Strategies:
- Outline the CI/CD pipelines.
- Discuss rollout strategies such as blue/green and canary deployments, and automated rollback mechanisms.
- Resource Management and Autoscaling:
- Specify resource requests and limits for Pods.
- Explain Horizontal Pod Autoscaling (HPA), Vertical Pod Autoscaling (VPA), and cluster autoscaling.
- Address capacity buffering.
- Handling Stateful Dependencies:
- Describe interaction with external managed databases, caches, and object storage.
- Cover database migrations and connection management.
- Observability:
- Detail logging, metrics, and tracing strategies.
- Define Service Level Objectives (SLOs) and alerting mechanisms.
- Incident Response:
- Discuss runbooks, on-call procedures, kill switches, and rollback processes.
- Disaster Recovery and Backups:
- Define Recovery Time Objective (RTO) and Recovery Point Objective (RPO) targets.
- Explain backup strategies and the importance of restore drills.
- Architecture Trade-offs:
- Discuss the trade-offs between a monolith and microservices in this context.
- Identify concrete signals that would justify a transition away from the monolith.
- Propose a low-risk, incremental migration path, considering aspects like service boundaries, data ownership, API contracts, and team workflows.