Pakistan

Kubernetes Managed Services

Kubernetes Managed Services - Ainexo

Introduction - Kubernetes managed services

This is ongoing operational management of your Kubernetes clusters - scaling, security patching, monitoring, and incident response - for teams who've deployed to Kubernetes but don't want to build and staff dedicated platform engineering expertise in-house. It's distinct from a one-time CI/CD pipeline setup; this is continuous operational responsibility.

We take on the operational burden (cluster health, node scaling, security updates) so your engineering team can focus on application development rather than infrastructure operations.

Why Kubernetes needs ongoing attention, not just initial setup

Kubernetes clusters need continuous care - node scaling as load changes, security patches as vulnerabilities are disclosed, and monitoring to catch issues before they become outages. Teams without dedicated platform engineers often under-invest here until an incident forces the issue - we handle this proactively instead.

We're honest about what managed services covers versus what remains your responsibility - we manage the cluster and infrastructure layer; your team still owns application-level code and business logic decisions.

What's included

  • Cluster health monitoring and alerting
  • Node scaling configuration matched to your actual load patterns
  • Security patching and vulnerability management
  • Incident response for cluster-level issues
  • Cost optimization recommendations for cluster resource usage
  • Monthly reporting on cluster health, incidents, and costs

Our process

1. Assess current cluster state

We review your existing Kubernetes setup, identifying gaps in monitoring, scaling, or security before taking over operations.

2. Establish monitoring & baselines

Proper monitoring and alerting gets set up first, establishing normal baselines before optimizing further.

3. Ongoing management

Continuous scaling, patching, and incident response, with regular reporting so you have visibility into cluster health.

Pricing

Cost scales with cluster size and complexity, not just node count alone. Range: Rs 75,000 - 420,000 - indicative, final quote after discovery. Request a quote or WhatsApp +92 324 2991303.

Industries we serve

Engineering teams running containerized workloads without dedicated platform engineering staff, and companies wanting to focus development resources on product rather than infrastructure operations.

Frequently asked questions

Do you also do the initial Kubernetes setup?
Yes, if needed - though this service is primarily for ongoing operations of an existing or newly-deployed cluster, distinct from a one-time setup engagement.
What's covered versus what's still our responsibility?
We manage the cluster/infrastructure layer - scaling, patching, monitoring. Your team retains ownership of application code and business logic decisions.
How quickly do you respond to incidents?
Response time is agreed based on your specific needs and criticality during onboarding - we'll discuss realistic SLAs for your situation.
Can this reduce our cloud costs?
Often yes, through right-sized scaling and resource optimization - we report actual findings rather than promise savings upfront.
Do we need to migrate to a specific Kubernetes distribution?
No - we work with your existing setup (EKS, GKE, AKS, or self-managed) rather than requiring a migration.
What if we want to bring this in-house later?
We document everything and hand over cleanly if you build internal platform engineering capacity later - no lock-in.
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