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Digital & AI Upskilling

Kubernetes Training

Take your team from running Docker on a laptop to operating containers in production: placing workloads, releasing automatically, watching the health of the cluster, and recovering services when something falls over. Cluster hardening follows the CIS Kubernetes Benchmark.

  • 4.9/5 · 287 reviews
  • 300+ clients nationwide
  • 2,000+ trainers
  • 1 to hundreds of participants
  • Standard · Premium · Private 1-on-1
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format
In-house / online / hybrid
duration
5 intensive days per cohort
participants
10–20 per cohort
language
Indonesian / English

2,000+ trainers and experts

Our group's teaching network, matched to what your team needs.

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You see your trainer first

The trainer's profile, track record and field come with the proposal, before you decide.

4.9 out of 5

287 participant reviews.

300+ clients nationwide and 180,000+ private training sessions completed. Among them: MPR RI, Akademi Militer Magelang, DPRD Provinsi Jawa Timur.

One person to hundreds

Private coaching for one participant, a class for one team, or several cohorts at once.

Three budget levels

  • Standard: core class, material fitted to the participants’ work
  • Premium: senior trainer, deeper material design
  • Private 1-on-1: one participant, one trainer, schedule set by the participant
Tell us your budget

Quick Answer

Corporate Kubernetes training for engineering teams is an in-house program equipping developers, SREs, and platform engineers to run containers in production (Docker, Kubernetes v1.30+, Helm, ArgoCD, observability), guided by the CIS Kubernetes Benchmark, Pod Security Standards, and NIST SP 800-204C, and aligned with CNCF CKAD/CKA competencies.

Free Consultation

Pod Security Policies were removed in Kubernetes v1.25

The replacement is Pod Security Standards (Privileged/Baseline/Restricted). Teams still relying on PSP must migrate. A dedicated module guides workload identification, PSS mapping, and enforcement via Pod Security admission or Gatekeeper/Kyverno.

Aligned with CNCF CKAD/CKA competencies

The curriculum aligns with Certified Kubernetes Application Developer (CKAD) and Certified Kubernetes Administrator (CKA) blueprints. Primary focus remains enterprise application (production, hardening, FinOps), but participants pursuing certification get a strong foundation.

Healthy adoption pattern: paved-road > each team rediscovering

Successful K8s adoption across many teams typically rests on a paved-road curated by the platform team: library charts, ArgoCD ApplicationSets, policy as code (Gatekeeper/Kyverno). Without paved-road, posture goes uneven and cluster costs explode. The module teaches this pattern explicitly.

Clients & Documentation

Some of the institutions we have trained

Photos from sessions we have delivered, each one named after the institution it belongs to.

See class documentation (123 photos)

Kubernetes for IT Teams

Corporate Kubernetes training for engineering teams is an in-house program equipping developers, SREs, and platform engineers to run container workloads in production (from Docker fundamentals, Kubernetes v1.30+ manifests, Helm, GitOps via ArgoCD, to observability and hardening), mapped to the CIS Kubernetes Benchmark, Pod Security Standards (Restricted/Baseline/Privileged), NIST SP 800-204C for microservices security, and aligned with the CKAD/CKA certification competencies from CNCF.

1Designed via training needs analysis (TNA): roles (developer/SRE/platform/security), distribution choice (EKS/AKS/GKE/on-prem), and adoption stage
2Grounded in official Kubernetes v1.30+ (deprecations include Pod Security Policies, removed in v1.25, replaced by Pod Security Standards)
3Hands-on with CNCF tooling: kubectl, Helm, ArgoCD, Prometheus + Grafana, OpenTelemetry, cert-manager
4Hardening mapped to the CIS Kubernetes Benchmark and Pod Security Standards (PSS): Baseline & Restricted
5Microservices security follows NIST SP 800-204C and the OWASP Kubernetes Security Cheat Sheet
6Aligned with CNCF certification competencies: CKAD (developer), CKA (administrator), optionally CKS (security)
7Tooling and baselines in this class: Docker, Kubernetes v1.30 and above, Helm, and ArgoCD for GitOps, with hardening guided by the CIS Kubernetes Benchmark, Pod Security Standards, and NIST SP 800-204C.

Measurable Outcomes

Expected Outcomes

Indicators mapped to Kirkpatrick levels and CKAD/CKA competencies: qualitative targets, set during TNA against your team baseline.

Kubernetes fundamentals mastered
Most participants pass manifest assessment (Deployment/Service/Ingress/ConfigMap/Secret), basic networking, and kubectl. Judged through an assessment of core cluster objects closing the class (Kirkpatrick L2).
Automated release through GitOps runs
Participants build a Helm chart + ArgoCD pipeline for one internal app, with auditable rollback. Seen when a change reaches the cluster through the repository (Kirkpatrick L3).
Pod security standards are applied
Team workloads migrated to PSS Baseline or Restricted, with configuration docs (runAsNonRoot, readOnlyRootFilesystem, seccomp, drop capabilities). Visible in the manifest files participants tidy up (Kirkpatrick L3).
The cluster is hardened to the baseline
Priority CIS K8s controls applied in lab cluster (control plane, kubelet, RBAC, networking).
Production health is visible
Team has initial SLO/SLI dashboards (Prometheus + Grafana) + OpenTelemetry traces for one service. Readiness shows in the metrics, logs, and traces already wired into the cluster.
Ready to sit the official certification
Participants map competencies against CKAD/CKA blueprints and can take CNCF certification exams per individual readiness.

Program Format

Program Format Options

Chosen by team's K8s adoption stage, finalized after TNA. One team runs its own cluster by the time those five days close. Organizations moving many applications generally carry on for another two or three months of phased work while the platform way of working takes shape.

1

Docker → Kubernetes Bootcamp (4–5 days)

Intensive bootcamp: Docker fundamentals, K8s v1.30+ manifests, Service & Ingress, ConfigMap & Secret, basic observability, Baseline PSS hardening. Hands-on in lab cluster.

Best for: Engineering teams productionizing container workloads for the first time
2

GitOps & Helm Mastery Workshop

Practical workshop building reusable Helm charts + multi-environment ArgoCD GitOps pipelines (dev/stg/prod) with rollback and progressive delivery.

Best for: Teams already on K8s but delivery still manual / fragmented
3

Cluster Hardening & PSS Migration

Consultative session applying CIS Kubernetes Benchmark priorities and migrating workloads to Pod Security Standards Baseline/Restricted, plus NetworkPolicy & RBAC review.

Best for: Teams facing security audit or migrating post-PSP removal
4

Recurring Platform Engineering Enablement

Recurring program (monthly/quarterly) for platform teams: SLO review, capacity planning, upgrade patterns, and institutionalization of internal paved-road.

Best for: Organizations with internal platform & multi-team applications

Free Consultation

Discuss your team's Kubernetes adoption plan

We map your distribution, roles, adoption stage, and target posture, then build a proposal and budget based on real needs.

Request Proposal

Curriculum

Curriculum Framework

Designed via ADDIE; final modules curated by distribution (EKS/AKS/GKE/on-prem), role, and TNA baseline. Topics below represent full coverage.

  • Container vs VM concepts; runtime (containerd, runc) and OCI image specification
  • Effective Dockerfile: multi-stage build, minimal base image (distroless), version pinning, layer cache
  • Image vulnerability scanning (Trivy/Grype); SBOM (CycloneDX/SPDX) as build output
  • Image signing with Sigstore (cosign) and supply-chain attestation
  • Docker Compose for local dev/test; transition to Kubernetes manifests

  • Cluster architecture: control plane (kube-apiserver, etcd, scheduler, controller-manager), node (kubelet, kube-proxy, container runtime)
  • Core objects: Pod, ReplicaSet, Deployment, StatefulSet, DaemonSet, Job, CronJob
  • Service (ClusterIP/NodePort/LoadBalancer), Ingress controller (NGINX, Traefik), Gateway API (GA 1.0+)
  • ConfigMap & Secret; external secret store configuration (External Secrets Operator)
  • kubectl mastery: get/describe/logs/exec/port-forward, kustomize, jsonpath, context & kubeconfig

  • Helm 3: chart structure, templating, per-environment values, dependency management
  • Library chart & umbrella chart for cross-team internal standards
  • GitOps with ArgoCD: ApplicationSet, sync waves, hooks, and App-of-Apps pattern
  • Progressive delivery (Argo Rollouts): canary, blue-green, analysis templates
  • PR-based workflow: review manifest before merge, production impact verified

  • Networking: CNI plugin (Cilium, Calico), service discovery, internal DNS
  • NetworkPolicy: default deny + allow-list per namespace/workload (microsegmentation)
  • Storage: PV/PVC, StorageClass, CSI driver (AWS EBS/EFS, Azure Disk/Files, GCP PD/Filestore)
  • StatefulSet for databases & queues; backup & restore (Velero)
  • Service mesh basics: Istio / Linkerd (mTLS, traffic shifting); when it makes sense vs over-engineering

  • Pod Security Standards (Privileged/Baseline/Restricted) replacing removed Pod Security Policies (v1.25)
  • securityContext configuration: runAsNonRoot, runAsUser, readOnlyRootFilesystem, allowPrivilegeEscalation=false, seccomp, capabilities
  • RBAC: Role/RoleBinding vs ClusterRole/ClusterRoleBinding; least privilege; per-workload ServiceAccount
  • CIS Kubernetes Benchmark: control plane, kubelet, RBAC, networking; application priorities & audit tooling (kube-bench)
  • OPA Gatekeeper / Kyverno for policy as code; mutating & validating admission control

  • 3-pillar observability: metrics (Prometheus + Grafana), logs (Loki/Elastic), traces (OpenTelemetry + Tempo/Jaeger)
  • SLO/SLI/SLA per Google SRE; error budget; actionable alerts (not noise)
  • Autoscaling: HPA, VPA, Cluster Autoscaler, Karpenter; request/limit rightsizing
  • Disaster recovery patterns: etcd backup, Velero, multi-AZ vs multi-region trade-off
  • Kubernetes FinOps: namespace-level cost allocation (OpenCost), node group strategy, spot/preemptible

  • NIST SP 800-204C: microservices security guidance for service mesh environments
  • Image policy: only from trusted registries, signed via cosign, scanned via Trivy
  • Secret management: External Secrets Operator + Vault/AWS Secrets Manager/Azure Key Vault/GCP Secret Manager
  • Runtime security: Falco for anomalies; eBPF basics; Kubernetes audit log
  • OWASP Kubernetes Security Cheat Sheet as developer checklist

Comparison

Choosing the Program Format

Concise decision matrix. Final recommendation set after training needs analysis.

AspectDocker → K8s BootcampGitOps & Helm MasteryCluster Hardening & PSS MigrationRecurring Platform Engineering
Primary goalK8s production foundationConsistent GitOps deliveryHardening & PSS postureSustained platform discipline
Ideal participantsTeams productionizing containersTeams running, delivery manualFacing audit / PSP migrationPlatform team multi-team apps
Typical duration4–5 intensive days2–3 day workshop1–2 week consultingMonthly / quarterly
Main outputFundamentals mastery + labsHelm chart + ArgoCD pipelinePSS Baseline/Restricted + kube-benchLibrary chart + paved-road
Related certificationCKAD/CKA foundationCKAD applicationCKS (security) preparationCKA / practitioner supporting

For Whom

Who This Program Is For

Designed by role because running K8s differs for developer vs SRE vs security.

Application Developer (CKAD-aligned)

Teams writing code and wanting to deploy their own apps to K8s.

Common challenges

  • Not yet comfortable writing manifests (Deployment/Service/Ingress) and debugging crashing pods
  • Unclear when to use Helm vs Kustomize and how to structure them
  • GitOps workflow not understood; deploys still manual kubectl apply to production

Site Reliability Engineer / Platform Engineer (CKA-aligned)

Teams operating clusters and platform for application teams.

Common challenges

  • No safe, repeatable cluster upgrade pattern
  • Fragmented observability: metrics & logs not connected; alert noise high
  • Ad-hoc capacity planning; cluster costs rise without namespace visibility

Security Engineer (CKS-aligned)

Teams ensuring K8s posture meets audit & regulation.

Common challenges

  • PSP removed in v1.25 with migration to Pod Security Standards still pending
  • CIS Kubernetes Benchmark not applied consistently; no kube-bench report
  • Supply-chain security incomplete: images not signed, SBOM not yet used

DevOps / Build Engineer

Teams designing CI/CD pipelines and internal paved-roads.

Common challenges

  • CI/CD pipelines still per-team custom; no paved-road standard
  • GitOps not adopted; rollback depends on human + kubectl
  • No PR-based workflow for production changes

Tech Lead / Engineering Manager

Owners of K8s adoption decisions and delivery accountability.

Common challenges

  • Hard to decide when team is ready to manage K8s themselves vs use managed service
  • Cluster cost vs benefit concerns; no Kubernetes FinOps yet
  • Platform maturity roadmap not yet progressively staged

Industry Context

Industry Applications

One specific use case per industry, naming relevant workloads, regulations, and K8s patterns.

Banking & Financial Services

Modernization of bank digital service backends (internet banking, mobile, API channels) on K8s with posture meeting POJK 11/POJK.03/2022 (bank IT risk management) and SEOJK 29/SEOJK.03/2022 (cyber security), including PSS Restricted, strict RBAC, and audit trail usable for OJK examinations.

See in Banking & Financial Services context →
Technology & Startups

Internal K8s platform (paved-road) for fast-growing technology companies, so dozens of product teams deploy safely & quickly without each team rediscovering the same patterns.

See in Technology & Startups context →
State-Owned Enterprises (BUMN)

Standardizing holding-level K8s platform across BUMN subsidiaries with uniform security baseline, audit trail usable for BPK/SPI, and FinOps reportable to the holding.

See in State-Owned Enterprises (BUMN) context →
Retail & FMCG

E-commerce backend & modern POS systems on K8s for multi-channel retail, with peak-season resilience (Harbolnas, Lebaran), aggressive autoscaling patterns, and FinOps because traffic bursts sharply impact costs.

See in Retail & FMCG context →
Healthcare & Pharmaceuticals

SIMRS and hospital integration platform on K8s, with strict patient-data access controls (UU PDP specific data), complete audit log, and KARS readiness for information governance.

See in Healthcare & Pharmaceuticals context →
Logistics & Supply Chain

K8s platform for tracking systems, TMS, WMS, and logistics order orchestration, with real-time workloads, multi-partner integration, and high resilience because downtime causes large operational losses.

See in Logistics & Supply Chain context →

Delivery Method

Delivery

Format adapts to your engineering team distribution; all formats hands-on in lab clusters.

On-site intensive & workshop

Facilitator comes to your office for a 4–5 day bootcamp; labs in EKS/AKS/GKE clusters or on-prem (kind/minikube/k3d), with your internal workload case studies.

Live online + managed labs

Interactive classes via Zoom/Teams; labs run in lab clusters provided by Neksus or your internal accounts with limited scope.

Hybrid

On-site for consultative modules (PSS migration, hardening, paved-road); online for concepts & labs. Suits multi-location teams.

Scheduling fits team release & on-call calendar
Materials & labs localized to your distribution (EKS / AKS / GKE / on-prem)
Lab cluster with cost guardrails provided; alternative is labs in internal non-production cluster
Participation certificate + competency mapping against CKAD/CKA blueprint
Evaluation report & prioritized hardening recommendations for technical leadership

Engagement Flow

Engagement Path

Follows ADDIE + K8s adoption patterns: qualitative durations, scaled to adoption stage & distribution.

1

Training Needs Analysis & K8s Adoption Position

Mapping distribution (EKS/AKS/GKE/on-prem), roles, adoption stage (greenfield/migration/scale), critical workloads, and measurement baseline. Output: needs profile + lab scope.

Initial stage
2

Program Design by Role (ADDIE)

Drafting measurable learning objectives, role-based syllabi (dev/SRE/platform/security), lab scenarios, and framework map to CIS, PSS, NIST SP 800-204C, CKAD/CKA.

Pre-delivery
3

Docker → Kubernetes Bootcamp

Core 4–5 day session: Docker fundamentals, K8s manifests, Service/Ingress, ConfigMap/Secret, basic observability, Baseline PSS hardening. Hands-on in lab cluster.

Core week
4

GitOps & Helm on Real Workload

Practical workshop building Helm chart + ArgoCD pipeline for one internal app, with rollback and progressive delivery.

Post-bootcamp
5

Hardening, PSS Migration & RBAC Review

Consultative session applying priority CIS controls, migrating workloads to PSS Baseline/Restricted, and RBAC + NetworkPolicy review.

Rolling per workload
6

Observability, FinOps & Institutionalization

Recurring cadence: SLO review, autoscaler tuning, OpenCost per namespace, game day. Kirkpatrick L1–L4 evaluation (Phillips L5 on request) and platform maturity roadmap.

Recurring & continuous

Case Studies

Typical Outcome Patterns

Illustrative patterns based on similar program structures. No named clients or promised numbers. CKAD/CKA certifications & CIS Kubernetes Benchmark / Pod Security Standards references are attributed as external CNCF / CIS sources.

Financial institution with digital services on EKS

Intervention

Bootcamp + PSS migration & RBAC review workshop + ArgoCD GitOps

Result

Production workloads moved to PSS Baseline/Restricted, audit log centralized, change trails auditable by OJK

Technology company with hundreds of microservices across teams

Intervention

Platform engineering enablement: library chart + ApplicationSet + Gatekeeper

Result

Stable paved-road, fast new-team onboarding, and consistent posture across teams

Seasonal multi-partner logistics provider

Intervention

Bootcamp + SLO/SLI workshop + autoscaling tuning + game day

Result

Peak-season resilience improved and cluster cost more controlled

Procurement Info

Information for Procurement & Vendor Management

What procurement, finance, legal, and information security teams need.

Proposal

Structured proposal: measurable learning objectives, role-based syllabus, framework map (Kubernetes v1.30+/CIS K8s Benchmark/Pod Security Standards/NIST SP 800-204C/CKAD-CKA), facilitator profile, schedule, and TNA-based cost detail.

Pricing model

TNA-based: flat per program, per session, per participant, tiered, or custom. No standard numbers without needs analysis; estimates issued after TNA is agreed.

Payment & tax

Flexible terms (DP + balance / per-batch installments); tax invoice (PPN) and PO documentation supported.

BUMN/government procurement

Familiar with BUMN/government procurement: vendor documentation, e-procurement / SPSE, HPS/offers, and compliance clauses.

Measurement

Kirkpatrick L1–L3 evaluation reports (attendance, knowledge assessment, lab) + competency mapping to CKAD/CKA; Phillips ROI L5 on finance/risk request.

Confidentiality & data security

NDA signing, confidentiality of internal workloads used as case studies, and practices aligned with UU PDP and your internal security policy.

Material ownership

Manifests, Helm charts, and documents built for your company are yours; usage rights of training materials are agreed in the contract.

FAQ

Frequently Asked Questions

Docker is container technology (build & run OCI images) relevant for local dev & node-level. Kubernetes is an orchestration platform running containers across many nodes, managing scaling, networking, storage, and resilience. Modern production teams use both: Docker to build images, Kubernetes to run them at scale. The material covers both from fundamentals to production.

Material is aligned with CKAD (developer) and CKA (administrator) blueprints. Our primary focus is enterprise application; single-test prep is a secondary outcome, and participants pursuing certification get a strong foundation plus additional learning paths. CKS (security) is covered conceptually; specific exam prep is available as an add-on module.

Pod Security Policies (PSP) were removed in Kubernetes v1.25. The replacement is Pod Security Standards (PSS): Privileged, Baseline, Restricted. The module teaches migration: workload identification, mapping old PSP to PSS, adding appropriate securityContext (runAsNonRoot, readOnlyRootFilesystem, seccomp, capability drops), and enforcement via Pod Security admission. For deeper control, we teach OPA Gatekeeper or Kyverno.

Service mesh helps when the team needs automatic cross-service mTLS, canary traffic shifting, cross-service policy, or mesh-level observability. It becomes over-engineering when services are few, team is small, and mTLS needs can be met at app/ingress level. The module gives concrete adoption criteria based on scale & need, treating default install as a separate decision.

The module covers image hygiene (multi-stage build, distroless base), scanning (Trivy/Grype), SBOM (CycloneDX/SPDX), image signing with cosign (Sigstore), and admission policy that rejects unsigned images or those from untrusted registries. Approach maps to SLSA principles and NIST SP 800-204C recommendations.

GitOps is a modern production practice that teams adopt by choice. Benefits: change trail auditable, easy rollback, environment drift detected, and PR-based review becomes the production gate. We recommend GitOps adoption from the start for teams wanting sustainable production posture. The material covers ArgoCD because it's the most mature in CNCF, but the same patterns apply to Flux.

The Kubernetes FinOps module covers OpenCost for cost allocation per namespace/workload, node group strategy (mixed instance + spot), request/limit rightsizing based on observability data, autoscaler (HPA + Cluster Autoscaler / Karpenter), and common anti-patterns (request/limit too high, log retention without lifecycle, multi-AZ without egress cost consideration).

Yes. The vanilla Kubernetes core material applies universally; distribution modules cover unique features (EKS Fargate, AKS Pod Identity, GKE Autopilot, OpenShift if on-prem). TNA determines the most relevant distribution focus for your team.

We use Kirkpatrick: Level 1 (reaction), Level 2 (knowledge via assessment), Level 3 (behavior: applied manifests, GitOps, hardening), Level 4 (results: release frequency, MTTR, PSS compliance, kube-bench results). Phillips ROI Level 5 on finance request with isolated training effect. Baseline is set during TNA.

A 4–5 day bootcamp covers fundamentals + core labs. For deeper transformation, we recommend a 2–3 month phased program: bootcamp → GitOps → PSS/CIS hardening → observability. Ideal batch size is 10–20 participants so everyone gets facilitator access and lab time; larger batches are split so labs stay effective.

The practice environment carries the largest share, since container work requires a cluster, quota, and access arranged in advance, either inside your environment or in a lab we provide. Where participants start comes next, because a team new to containers and a team already running a cluster need the material sequenced differently. Then come cluster seats, the cohort count and the meeting count, whether the lab sits on site or over video, plus the host city. We share the figure following our training needs analysis review.

One practice cluster is shared by 10 to 20 engineers, which keeps twenty-odd people together in a single cohort, and five full days takes them from Docker to running workloads on a cluster. The practice cluster along with its access permissions needs arranging early, and this is the part that most often moves the dates. If the goal is shifting production applications across, keep extra time after the class for migration coaching, because every application brings its own complications.

You may. A Kubernetes class needs an instructor who can answer beyond the script, because that is where field experience shows. Signal it to the programme coordinator, and a back-up validated platform instructor takes over the room. Lab modules, practice cluster configuration, and per-engineer progress notes stay inside our operations system, letting the class resume where it stopped.

Next Step

Discuss your team's Kubernetes adoption plan

We map your distribution, roles, adoption stage, and target posture, then build a proposal and budget based on real needs.

  • Proposal, role-based syllabus, and framework map (Kubernetes v1.30+/CIS/PSS/NIST 800-204C/CKAD-CKA)
  • Labs in sandbox cluster with cost guardrails; internal workload review option
  • Procurement-ready documents (company profile, NPWP, NDA, PPN tax invoice)
Request a ProposalFree Consultation

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Discuss your team's Kubernetes adoption plan

We map your distribution, roles, adoption stage, and target posture, then build a proposal and budget based on real needs.

  • Proposal, role-based syllabus, and framework map (Kubernetes v1.30+/CIS/PSS/NIST 800-204C/CKAD-CKA)
  • Labs in sandbox cluster with cost guardrails; internal workload review option
  • Procurement-ready documents (company profile, NPWP, NDA, PPN tax invoice)

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