Production-ready Kubernetes clusters with Helm charts, service mesh, auto-scaling, monitoring, and GitOps workflows for cloud-native applications.
START K8S PROJECTProduction-ready Kubernetes cluster with multi-AZ node pools, auto-scaling, and high availability control plane.
NGINX or Traefik ingress with SSL/TLS termination, path-based routing, and rate limiting.
Istio or Linkerd for traffic management, security with mTLS, and distributed tracing.
Persistent volumes with CSI drivers for block, file, and object storage with dynamic provisioning.
External Secrets Operator with Vault, AWS Secrets Manager, or Azure Key Vault integration.
Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA), and Cluster Autoscaler configuration.
Package, configure, and deploy Kubernetes applications using Helm charts with version control and rollback capabilities.
Reusable Kubernetes manifests with Go templating for multi-environment deployments.
Manage chart dependencies like databases, caches, and message queues automatically.
Version control for deployments with easy rollback to any previous release.
Host custom Helm charts in private repositories with ChartMuseum or OCI registries.
# Chart.yaml
apiVersion: v2
name: myapp
version: 1.0.0
dependencies:
- name: postgresql
version: 12.1.5
repository: https://charts.bitnami.com/bitnami
# values.yaml
replicaCount: 3
image:
repository: myapp/api
tag: v1.2.3
pullPolicy: IfNotPresent
service:
type: ClusterIP
port: 80
ingress:
enabled: true
className: nginx
hosts:
- host: api.myapp.com
paths:
- path: /
pathType: Prefix
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 250m
memory: 256Mi
autoscaling:
enabled: true
minReplicas: 3
maxReplicas: 10
targetCPUUtilizationPercentage: 70Advanced traffic management, security, and observability for microservices with mTLS, circuit breaking, and distributed tracing.
Advanced routing with canary deployments, A/B testing, traffic splitting, and circuit breaking for resilient microservices.
Automatic mTLS encryption between services with certificate rotation and identity verification without code changes.
Distributed tracing with Jaeger, metrics with Prometheus, and service topology visualization with Kiali.
Fine-grained access control policies, rate limiting, and quota management at the service mesh layer.
Gradually replace old pods with new ones with configurable max surge and max unavailable settings.
Run two identical environments, switch traffic from blue to green after validation for instant rollback.
Route small percentage of traffic to new version, gradually increase if metrics are healthy.
Split traffic between versions based on user attributes for controlled feature testing.
Git as the single source of truth for declarative infrastructure and applications with automated sync and drift detection.
All Kubernetes manifests, Helm charts, and Kustomize configurations stored in Git with branching strategy for environments.
Define ArgoCD applications pointing to Git repositories with automatic sync policies and health checks.
ArgoCD continuously monitors Git repositories and automatically applies changes to Kubernetes clusters.
Detect manual cluster changes that differ from Git and automatically reconcile or alert for approval.
Integration with Argo Rollouts for canary deployments, blue-green, and automated rollback on failures.
Prometheus metrics, Grafana dashboards, ELK logging, Jaeger tracing, and Kube-state-metrics for complete observability.
Metrics collection and alerting
Visualization dashboards
Centralized log aggregation
Distributed tracing
K8s resource metrics
Node-level metrics
Alert routing and silencing
Service mesh observability
Let's build a production-ready Kubernetes infrastructure for your applications.
START K8S CONSULTATION