Kubernetes Reliability & SRE Consulting Services

Kubernetes consulting, SRE and infrastructure as code for production clusters. Review autoscaling, release controls, Terraform and recovery readiness.

What this service is for

Ampity helps teams decide where Kubernetes is justified and then make the platform operable. The work covers workload suitability, cluster and tenancy boundaries, deployment paths, policy, observability, capacity, recovery and developer experience. It does not assume Kubernetes is the correct answer for every application, and it does not imply managed 24/7 operations unless that responsibility is separately agreed.

Typical situations

  • Teams operate clusters but releases, ownership or recovery remain inconsistent.
  • A workload is moving to Kubernetes and needs a controlled migration path.
  • Shared clusters create noisy-neighbor, security or cost-attribution problems.
  • The platform team needs a paved road that product teams can actually use.

Included

  • Workload suitability and current-cluster assessment
  • Cluster, tenancy, network, identity and policy architecture
  • Deployment, progressive delivery and rollback controls
  • Observability, service objectives and incident evidence
  • Capacity, autoscaling and cost-attribution design
  • Recovery, upgrades, runbooks and platform-team handover

What you receive

  • Kubernetes suitability and risk assessment
  • Cluster, tenancy and platform reference architecture
  • Paved-road deployment and policy implementation
  • Observability, capacity and cost controls
  • Upgrade, recovery and incident runbooks
  • Adoption evidence and prioritized improvement backlog

Make Kubernetes useful to the teams running applications

Kubernetes consulting should resolve application and operating needs, rather than make a cluster the objective of the engagement.

Kubernetes for application developers

Define resource requests and limits, readiness and startup behavior, graceful termination, configuration, secrets, and release rollback. Explain how these controls affect an actual application request. The platform team owns cluster defaults; application teams still need to understand data migration, dependency failure, and rollout compatibility.

Kubernetes production readiness guide

Kubernetes reliability and migration

Test workload scheduling, disruption budgets, autoscaling, node replacement, and dependency behavior under representative load. Compare Kubernetes with simpler managed compute before migrating. Separate cluster availability from application recovery, and specify who responds to alerts and restores state within the agreed support scope.

Kubernetes production operations

Frequently asked questions

When should a team avoid Kubernetes?

Avoid it when a simpler managed runtime meets the workload, isolation, deployment and operating requirements. Kubernetes is useful when its control and portability justify the platform cost.

Can Ampity improve an existing cluster platform?

Yes. The work can focus on delivery paths, policy, tenancy, observability, capacity, upgrades or recovery without replacing the whole platform.

Is managed Kubernetes support included?

Only when the engagement explicitly defines coverage hours, responsibilities, escalation, service levels and dependencies. The consulting service itself does not imply an always-on operations commitment.

What does a Kubernetes reliability assessment cover?

Cluster configuration, workload resource limits, autoscaling, upgrade practice, networking, security policy, observability and recovery, with prioritised fixes for the risks most likely to cause outages.

Can you help migrate workloads to EKS or GKE?

Yes. We plan containerisation, cluster design, deployment pipelines and cutover so workloads move to Amazon EKS or Google GKE with clear acceptance and rollback steps.