Automation & DevOps

Kubernetes Deployment Automation

Implement container orchestration with Kubernetes for automated deployment, scaling, and management of containerized applications. Includes Helm charts, CI/CD integration, autoscaling, service mesh, and comprehensive monitoring.

Complexity: Complex 21-34 effort units 5-8 weeks
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Project Milestone & Feature Breakdown

4
Project Milestones
9
Features
29
Total Effort Units
1

Kubernetes Cluster Setup

Provision and configure Kubernetes cluster

8 pts 1-2 weeks 2 Features

Cluster Provisioning

5 pts Complex

Set up EKS, AKS, GKE, or self-managed cluster

Cluster Configuration

3 pts Medium

Configure networking, storage, and access controls

Deliverables
  • K8s cluster
  • Network configuration
  • Access controls
2

Application Deployment

Deploy applications with Helm and manifests

8 pts 1-2 weeks 2 Features

Helm Chart Development

5 pts Complex

Create Helm charts for application deployment

Deployment Strategies

3 pts Medium

Rolling updates, canary, blue-green deployments

Deliverables
  • Helm charts
  • Deployment manifests
  • Release automation
3

Autoscaling & Optimization

Configure HPA, VPA, and cluster autoscaling

5 pts 1 week 2 Features

Horizontal Pod Autoscaling

3 pts Medium

Configure HPA based on CPU, memory, custom metrics

Resource Optimization

2 pts Simple

Set resource requests/limits and optimize costs

Deliverables
  • Autoscaling configuration
  • Resource limits
  • Cost optimization
4

Kubernetes Observability

Set up monitoring, logging, and tracing

8 pts 1-2 weeks 3 Features

Metrics & Dashboards

3 pts Medium

Prometheus for metrics, Grafana for visualization

Centralized Logging

3 pts Medium

ELK/Loki stack for aggregated logs

Distributed Tracing

2 pts Simple

Jaeger or Zipkin for request tracing

Deliverables
  • Monitoring dashboards
  • Logging system
  • Tracing setup

Technical Stack

Kubernetes Helm Docker Prometheus Grafana Istio ArgoCD

Key Considerations

Cluster sizing and node capacity planning

Security hardening and RBAC policies

Cost optimization with autoscaling

Multi-environment deployment strategy

Disaster recovery and backup procedures

Success Criteria

Applications deploy successfully via Helm

Autoscaling responds to load changes

Zero-downtime deployments achieved

Comprehensive monitoring in place

Rollback procedures tested and working

Related Use Cases

View All Use Cases
Medium

Infrastructure as Code (Terraform)

13-21 effort units 3-5 weeks
Medium

CI/CD Pipeline Setup

8-13 effort units 2-3 weeks
Simple

Monitoring & Alerting Setup

5-8 effort units 1-2 weeks

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