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Kubernetes that just works

Expert cluster management, troubleshooting, and optimization. We keep your Kubernetes platform healthy so your team can ship.

8x5 or 24/7 coverage. Standard and Premium tiers available.

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Production-grade cluster operations

Upgrades, scaling, monitoring, and incident response. Day-to-day management so you don't have to.

Troubleshooting and tuning

Debug failing deployments, performance issues, and resource conflicts with experienced Kubernetes engineers.

Best-practice guardrails

RBAC, network policies, and conventions that keep your clusters secure and maintainable.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefWhen to use this serviceSupport scopeOnboarding flowSupport tiers

Keep your K3s Kubernetes clusters running smoothly. Our Kubernetes support service provides ongoing platform management, monitoring, troubleshooting, and optimization so your team can focus on building applications. All newly supported clusters run on K3s by default — a lightweight, CNCF-certified Kubernetes distribution — while existing Kubernetes estates can be assessed for support or migration.

Kubernetes Support is best when you already have clusters in production or near production and need experienced operators to keep the platform healthy, review changes, and help during incidents. If you need a new platform designed and built, start with Managed Kubernetes. If you are moving workloads into Kubernetes, start with Kubernetes Migration.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

EvidenceSection 01

When to use this service

Runbooks, dashboards, reviews, and handoff material make the work auditable.

SituationHow we help
A K3s cluster is already serving workloadsWe take over recurring operational review, upgrades, backups, monitoring, and incident support
Deployments fail for unclear platform reasonsWe diagnose scheduling, networking, storage, ingress, DNS, and resource issues
Cluster upgrades feel riskyWe create an upgrade plan, verify backups, stage changes, and document rollback paths
Alerts are noisy or missingWe tune cluster and workload signals so responders get actionable pages
Application teams need safer guardrailsWe review namespaces, RBAC, network policies, pod security, and deployment conventions
Leadership needs operating evidenceWe provide cluster review notes, risks, actions, and next-step recommendations
Operating modelSection 02

Support scope

Responsibilities, response paths, and technical changes are made explicit before work starts.

Scope boundary

Cluster operations

  • K3s version upgrades, patch planning, and maintenance windows
  • node health review, capacity planning, and node pool scaling recommendations
  • embedded etcd backup review, restore notes, and recovery practice where in scope
  • certificate, kubeconfig, ingress, DNS, and load balancer review
  • cluster add-on review for ingress controllers, storage, metrics, logging, and GitOps agents

Scope boundary

Monitoring and alerting

  • cluster health monitoring with Prometheus and Grafana or your existing stack
  • pod, node, storage, API server, ingress, and workload utilization dashboards
  • alert routing through PagerDuty, Opsgenie, Slack, email, or existing incident channels
  • service-level indicators when workload telemetry is mature enough to support them
  • regular alert-quality review so pages stay actionable

Scope boundary

Security and policy guardrails

  • RBAC configuration and least-privilege review
  • namespace model and tenant or environment separation guidance
  • network policy review and implementation support
  • pod security standards, admission policy, and image policy guidance
  • secrets-management review using Vault, Sealed Secrets, External Secrets, or your current approach

Scope boundary

Troubleshooting and incident support

  • pod scheduling, image pull, readiness, liveness, and crash-loop failures
  • CoreDNS, service discovery, ingress, TLS, and load balancer issues
  • persistent volume, storage class, backup, and restore problems
  • deployment rollbacks, failed releases, resource contention, and noisy-neighbor behavior
  • incident triage within the agreed support tier and escalation path
OutcomeSection 03

Onboarding flow

Expected changes are framed as practical operating improvements, not unsupported guarantees.

  1. Fit and scope call — confirm clusters, environments, workloads, business criticality, support hours, and current pain points.
  2. Access plan — agree read-only and break-glass access, communication channels, ticket flow, and change-approval rules.
  3. Baseline review — inspect topology, versions, add-ons, namespaces, RBAC, backup posture, dashboards, alerts, and incident history.
  4. Support plan — define covered clusters, response expectations, recurring cadence, out-of-scope items, and first backlog priorities.
  5. Operational handoff — publish runbooks, escalation path, dashboard links, backup notes, and the first cluster health report.
  6. Recurring operation — run reviews, implement agreed changes, update documentation, and keep a visible platform backlog.
EvidenceSection 04

Support tiers

Runbooks, dashboards, reviews, and handoff material make the work auditable.

FeatureStandardPremium
Response time4 hours1 hour
Coverage8x524/7
Cluster reviewsQuarterlyMonthly
Dedicated engineerSharedDedicated
Chaos engineering—Included when scoped

Standard suits teams with predictable workloads and 8x5 operations. Premium is for production-critical clusters requiring 24/7 coverage, deeper review cadence, and dedicated attention. Formal SLAs, regulated requirements, multi-region operations, or dedicated staffing are scoped separately.

Operating modelSection 05

Cadence and communication

Responsibilities, response paths, and technical changes are made explicit before work starts.

ActivityStandard cadencePremium cadence
Support channel and ticketsBusiness-hours monitoringBusiness-hours plus agreed 24/7 escalation
Cluster health reviewQuarterlyMonthly
Backlog and risk reviewQuarterly or as neededMonthly
Incident updatesDuring active incidentsDuring active incidents with agreed stakeholder rhythm
Upgrade planningBefore each supported upgradeProactive planning in monthly review

We use your existing collaboration tools where possible. Every material change should have a ticket, pull request, change record, or written summary so operational history is easy to inspect.

ScopeSection 06

Deliverables

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

  • support scope and responsibility matrix
  • cluster inventory with versions, node pools, add-ons, and owners
  • baseline health report with risks, quick wins, and recommended backlog
  • dashboards, alerts, and routing notes for covered clusters
  • runbooks for common failures such as failed deployments, node pressure, ingress issues, DNS failures, and backup checks
  • upgrade, backup, restore, and maintenance notes
  • recurring review summaries with completed work, risks, and next actions
EvidenceSection 07

Prerequisites

Runbooks, dashboards, reviews, and handoff material make the work auditable.

  • administrative sponsor and technical owner for each covered cluster
  • access to Kubernetes API, nodes or cloud provider where required, GitOps repositories, monitoring, logs, and incident tools
  • documented production, staging, and development boundaries
  • a change-approval process for maintenance, upgrades, and emergency actions
  • current backup location and retention policy, or approval to define one during onboarding
  • application owners available when incidents require workload-level changes
Operating modelSection 08

Boundaries and out-of-scope work

Responsibilities, response paths, and technical changes are made explicit before work starts.

Kubernetes Support covers agreed cluster operations and troubleshooting. The following are usually scoped separately:

  • major platform rebuilds, new cluster builds, or large migrations
  • application feature development or broad code refactoring
  • formal compliance programs or audit evidence beyond operational notes
  • data recovery guarantees without validated backup and restore processes
  • unlimited 24/7 coverage outside the selected support tier
  • ownership of third-party outages, cloud-provider incidents, or unmanaged dependencies beyond coordination and mitigation advice
Operating modelSection 09

Common tickets and incidents

The section clarifies how production responsibilities change once the service is in place.

RequestTypical response
Pods are stuck pendingCheck node capacity, taints, tolerations, affinity, quotas, PVC binding, and scheduler events
Ingress is returning 502 or TLS errorsInspect ingress controller, service endpoints, certificates, DNS, and application readiness
Cluster upgrade is dueReview release notes, add-on compatibility, backups, staging test path, and rollback assumptions
Nodes show memory or disk pressureIdentify workload pressure, eviction risk, log growth, image cache usage, and scaling options
DNS resolution is intermittentReview CoreDNS health, network policy, node networking, upstream DNS, and affected workloads
Deployment failed after releaseCoordinate rollback, inspect events and logs, verify readiness gates, and document follow-up
EvidenceSection 10

Handoff artifacts

Runbooks, dashboards, reviews, and handoff material make the work auditable.

At the end of onboarding or any major support phase, we leave material your team can operate with:

  • cluster map and access model
  • escalation path and severity definitions
  • runbooks and dashboard links
  • backup and restore notes
  • maintenance calendar or upgrade plan
  • open-risk register and platform backlog
  • summary of decisions, assumptions, and unresolved owner actions
Next stepSection 12

Getting started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Need help with your Kubernetes clusters? We'll assess your setup, define a realistic support boundary, and recommend the right service tier.

Request Kubernetes Support →

Next stepSection 13

Frequently asked questions

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Do you only support K3s? K3s is our default operating model for newly supported clusters. We can assess existing EKS, AKS, GKE, Rancher, OpenShift, kubeadm, or other Kubernetes environments and recommend support, migration, or a managed-platform path.

Can you take over a cluster that has little documentation? Yes, but onboarding starts with discovery and risk documentation. We do not assume hidden systems are safe until access, topology, backups, and owners are confirmed.

Do you provide emergency help for clusters not under support? Yes, use Emergency Response for active incidents. Ongoing Kubernetes Support is better once the environment is stable and access is established.

Talk to a senior engineer

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