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Kubernetes Helm ArgoCD

Kubernetes and GitOps

Make deployments predictable. Remove drift. Control infrastructure through Git.

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Overview

Kubernetes without discipline becomes complex very quickly.

Typical issues:

  • configuration drift between environments
  • manual changes directly in cluster
  • unclear deployment state
  • broken rollbacks
  • too many tools layered without control

GitOps is not about adding ArgoCD.
It is about making the system observable, reproducible, and controlled.

This service focuses on stabilizing Kubernetes and introducing Git as the single source of truth.

Kubernetes & GitOps illustration

Related use cases

Deliverables

  • • Cluster setup or audit
  • • Workload optimization
  • • Deployment strategies

Outcomes

  • • Reduced downtime
  • • Improve reliability
  • • Efficient scaling

What gets fixed

  • “Works in staging, breaks in production”
  • Manual kubectl apply and hotfixes in cluster
  • No clear ownership of configuration
  • Hard-to-debug deployments
  • Broken or missing rollback strategy
  • Overcomplicated Helm/Kustomize setups

How it is done

  • Audit current cluster and deployment model
  • Identify drift and hidden state
  • Normalize configuration (Helm/Kustomize or simpler)
  • Introduce Git-driven workflow
  • Add visibility before adding automation
  • Gradually remove manual operations

No “big bang” migrations. Changes are incremental and safe.

Typical stack

  • Kubernetes (EKS / GKE / AKS / on-prem)
  • ArgoCD (or simplified alternatives if needed)
  • Helm / Kustomize (depending on use case)
  • GitLab / GitHub repositories
  • Container registry

Tools are chosen to reduce complexity, not increase it.

When this is a good fit

  • Kubernetes is already in use but unstable
  • Deployments are hard to understand or debug
  • Manual changes happen in cluster
  • Multiple environments behave differently
  • GitOps is planned but not implemented correctly

Engagement format

  • Cluster and deployment audit
  • Identify drift, risks, and complexity
  • Implement minimal GitOps baseline
  • Clean up configuration and workflows
  • Validate with real deployments

No unnecessary tooling. No overengineering.

What you get

Controlled deployments

  • Git as the source of truth
  • Declarative infrastructure and workloads
  • Clear diff between desired and actual state

GitOps workflow

  • ArgoCD or minimal GitOps setup
  • Automatic sync and drift detection
  • Predictable promotion between environments

Stable Kubernetes setup

  • Clean structure of manifests / charts
  • Reduced configuration duplication
  • Environment separation without chaos

Results

  • No configuration drift
  • Reproducible environments
  • Predictable deployments
  • Faster recovery and rollback
  • Reduced operational load

When this is NOT needed

  • You run simple workloads without scaling requirements
  • Infrastructure is stable and already reproducible
  • No need for environment parity or automation

Outcome

Cluster state becomes predictable.

No drift. No hidden changes. Just controlled infrastructure.

Get a quote

Tell us what hurts. We’ll fix the root cause.

  • 24–48h initial response
  • one page action plan
  • measurable outcome targets

No marketing spam. Real solutions, not rituals.