
Kubernetes Platform Program
Builds a production Kubernetes platform with GitOps delivery

Ship faster, with fewer surprises.
We build DevOps capability inside engineering organizations: the pipelines, platforms, and practices that turn code into reliable production systems. Instructor-led programs across CI/CD, Kubernetes, infrastructure as code, and observability are how we do it, scoped to your stack and delivered wherever your teams are.
Instructor-led workshops and programsIn-house, virtual or blended10+ languagesDelivered in English, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian, and more100+ countriesWe have delivered in United States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
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DevOps and cloud native training is instructor-led group training that builds an organization's ability to ship software quickly and run it reliably. It spans CI/CD pipelines, container platforms, infrastructure as code, GitOps, and observability, taught against the tools your teams actually use. Programs are scoped to your stack, from Jenkins and GitLab to Kubernetes and Terraform, and delivered to a closed cohort rather than sold as individual seats.
The distinction that matters commercially is between tool training and delivery capability. Knowing Kubernetes commands is not the same as running a platform: paved paths, guardrails, and on-call discipline that let product teams ship without waiting on tickets. Our programs build the second, with labs on real clusters and pipelines, so engineers leave able to operate what they built.
Programs split across the major practice areas. CI/CD and pipeline engineering, from Jenkins and GitHub Actions to GitLab and Copado. Containers and Kubernetes: Docker, administration, managed services, and GitOps delivery. Infrastructure as code with Terraform, Ansible, and OpenTofu. And observability: Prometheus, Grafana, and OpenTelemetry for systems you can actually debug.
Every engagement starts with discovery: your stack, your delivery pain, and which teams carry the pager. Trainers are then matched from a vetted bench of platform engineers and SREs, and the program is tailored before delivery. Cohorts are closed to your organization, run in your timezone, and measured with pre- and post-assessments so engineering leadership can see what changed.
Six areas carry most of the catalog. Start where your delivery pain is greatest.
DevOps & Cloud Native programs to start with.
Use Azure Boards, Repos, Pipelines and Artifacts to plan, build and release software.
Install and run OKD clusters with its projects, routes, builds and operators.
Build Grafana dashboards and alerts, and use Loki and Tempo for logs and traces.
Build images, run containers and manage volumes and networks with Docker and Podman.
Browse all 37 DevOps and cloud native programs across 9 topics, from CI/CD pipelines and Kubernetes to Terraform, GitOps, and observability. Filter by topic and delivery format, then request a tailored proposal.
SHOWING 1–15 OF 36 · 36 IN THE LIVE CATALOG
Write Ansible playbooks, roles and inventories to configure servers consistently.
Automate builds, deployments and release approvals across environments with AnthillPro.
Trace transactions, find slow code and set baselines and alerts in AppDynamics.
Use Azure Boards, Repos, Pipelines and Artifacts to plan, build and release software.
Manage server configuration with Ansible, and maintain existing Chef and Puppet estates.
Build images, run containers and manage volumes and networks with Docker and Podman.
Run tests on every commit, manage test data and keep pipeline feedback fast and trusted.
Manage Salesforce user stories, pipelines, environments and deployments with Copado.
Build CI/CD pipelines with automated builds, tests, artefacts and deployment strategies.
Build pipelines on AWS with CodePipeline, CodeBuild, monitoring and deployment strategies.
Add code, dependency and container scanning, secrets handling and policy gates to pipelines.
Secure Kubernetes delivery with image scanning, signing, admission control and policy as code.
Write GitHub Actions workflows for builds, tests, releases and reusable actions.
Build GitLab CI/CD pipelines with built-in security scanning and environments.
Use Argo CD or Flux to sync Git into clusters, with review, rollback and drift detection.
Build your team’s capabilities in DevOps & cloud native with curated training programs arranged in a clear learning sequence. Each pathway builds skills progressively, helping your workforce achieve defined milestones and apply their learning to business goals.

Builds a production Kubernetes platform with GitOps delivery
Build, ship and run containers with Docker and Podman: images, networking, volumes and security hardening.
Implement GitOps workflows with Argo CD and Flux: declarative deployments, sync policies and drift detection.

Automates provisioning and configuration across clouds and data centres
Provision infrastructure as code with Terraform and OpenTofu: modules, state management and multi-cloud patterns.
Automate configuration management with Ansible, Chef and Puppet: playbooks, roles and drift remediation.
Applies DevOps practice using each cloud's native services

Builds security and testing gates into every pipeline
Builds security checks into pipelines and protects the software supply chain
Build CI/CD and DevSecOps pipelines in GitLab: jobs, stages, security scanning and deployment automation.
Integrate continuous testing into DevOps pipelines: test automation, shift-left strategies and quality gates.

Moves from basic monitoring to full observability with OpenTelemetry
Instrument applications with OpenTelemetry: traces, metrics, logs and distributed context propagation.
Monitor infrastructure with Nagios, Zabbix and Prometheus: metrics collection, alerting and dashboard design.
Build observability on Google Cloud: Cloud Monitoring, Cloud Logging, Cloud Trace and SLO management.

Sets up a platform team and an internal developer platform
Builds an internal developer platform and the team model to run it
Implement GitOps workflows with Argo CD and Flux: declarative deployments, sync policies and drift detection.
Explore DevOps & cloud native training aligned with your teams’ functions, job roles, industry and tools. Help your teams build the knowledge and practical skills to apply DevOps and cloud-native practices across your organization, supporting your business priorities and evolving needs.
Improve the path from a code change to a reliable production release. Combine automation, feedback and shared ownership to reduce avoidable delivery friction.
Design supported paths that make common engineering tasks easier to complete. Combine reusable infrastructure with developer feedback and clear platform ownership.
Integrate security checks and evidence into build and release workflows. Clarify remediation ownership so security findings can be addressed without creating an unmanaged queue.
Operate cloud-native workloads with clear rollout and recovery practices. Connect platform telemetry to the user experience when deciding what needs attention.
Define reliability goals around meaningful user journeys and service behavior. Use error budgets and operational evidence to prioritize engineering improvements.
Build maintainable delivery automation across application and infrastructure changes. Develop hands-on skills in pipelines, configuration and release troubleshooting.
Guide DevOps adoption through useful goals, team alignment and platform investment decisions. Evaluate improvements using delivery and reliability evidence rather than tool adoption alone.
Understand how containerized workloads are configured, deployed and operated. Build troubleshooting judgment around application health, resource needs and platform behavior.
Define reusable infrastructure configurations and review planned changes before deployment. Manage state and collaboration practices so infrastructure changes remain understandable and controlled.
Create workflows that connect repository events with build, test and deployment jobs. Organize reusable automation and runner choices around the needs of the delivery environment.
Training a role that is not listed, or a mix of them? Tell us who you are training and what they need to do, and we build the shortlist
Where DevOps teams most often cross-train, based on how these courses are classified.
Domain-level outcomes, not course objectives. These are the capabilities enterprises usually buy this training to build.
Run CI/CD pipelines that build, test, and release on every commit, with approvals and guardrails where they matter.
Operate clusters confidently: upgrades, networking, storage, and multi-tenancy without heroics.
Define environments in Terraform and Ansible so they are reviewable, repeatable, and auditable.
Make Git the source of truth for deployments, with Argo CD or Flux reconciling desired and actual state.
Instrument services with Prometheus, Grafana, and OpenTelemetry so incidents get found before customers do.
Embed scanning, signing, and policy checks into delivery so security keeps up with release speed.
Give product teams paved paths and self-service, so platform engineering multiplies output instead of gating it.
Onsite, live virtual, or hybrid, every program is instructor-led and built around your teams.
A trainer comes to your office and works face to face with your team, using your policies and your examples.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteExpert-led live online sessions delivered anywhere, with consistency and easy scheduling. Training tools such as Zoom or Microsoft Teams are selected subject to your organization's approval and compliance requirements.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteCombine in-person sessions with live online training in a coordinated instructor-led program, with the mix planned around your team's needs.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteBring development and operations together around reliable software delivery with Edstellar. We customize role-based, instructor-led training for developers, platform engineers and operations teams to reflect your delivery workflows and cloud native priorities. Practical work connects deployment automation, containers and observability with collaboration, recovery and operational ownership, helping teams evaluate tradeoffs and build capabilities that evolve alongside their platforms and service requirements.

Connect build, test and deployment practices across delivery pipelines
Align developers and operators on service responsibilities and handoffs
Practice observability, recovery and change decisions for running services
Assess containers, platform patterns and automation against changing needs
Cross-industry training experience brings business context to delivery challenges
Company-wide corporate training experience informs practical DevOps learning design
Company-wide trainer network connects software, platforms and operational disciplines
Edstellar's certified quality and information-security management systems underpin DevOps and cloud native training delivery
Every engagement runs the same five stages, from capability baseline through delivery to sustained measurement.
We meet your stakeholders and L&D team to baseline what your people can do today against the DevOps capability you need.
Weeks 1–2
Programs are assembled against your policies, obligations, and team levels, then trainers are shortlisted from the vetted bench.
Weeks 2–4
Closed-cohort instructor-led sessions in your language and timezone, with labs, exercises, and materials shipped alongside.
Scheduled to your calendar
Pre- and post-assessments establish a measurable change in capability, benchmarked against role frameworks.
Immediately after delivery
Retrospectives, refresher modules and skill-refresh tracking keep the investment from decaying, and the measured gaps feed the next cycle.
Quarterly
Stage 05 feeds the next cycle: the gaps it measures become the next Discover.
Also from Edstellar
Psychometric, behavioral, leadership and 360-degree assessment.
Needs analysis, gap identification, and a training roadmap.
Learning strategy, content, technology and ROI measurement.
Org design, succession planning and cultural change.
Training outsourcing, vendor management, logistics and administration.
Executive and manager coaching that keeps skills in use.
Platform engineers, DevOps and SRE teams, cloud engineers, developers, and engineering leaders. A foundations track covers teams new to the practices.
Instructor-led and live, as a closed cohort for your team, onsite, virtual, or hybrid. Labs run on real clusters and pipelines, not slides. You choose the format, schedule, and timezone.
Yes. Programs are tailored to the tools you use: Jenkins, GitLab, GitHub Actions, Kubernetes, Terraform, Ansible, and the observability stack. Tell us your stack in the discovery call.
Most programs run 16 to 32 hours across several sessions. Certification-aligned programs like CKA follow the exam syllabus; bundles and rollouts are scheduled around your calendar.
Cohorts run from a single small team up to enterprise rollouts of hundreds, with one trainer per cohort for hands-on lab quality.
Yes. Every program includes labs on live environments: pipelines you build, clusters you operate, and Terraform you apply. Exercises use realistic failure scenarios.
Pre- and post-assessments benchmark each participant against role frameworks, with a completion report showing measured change per cohort.
Yes. Labs and case studies can run against your pipeline definitions, cluster configs, and incident history, so teams train on their reality.
Yes. Programs align to CKA, AWS, and Azure DevOps paths, with exam-style labs and practice assessments built in.
SRE and observability programs cover on-call discipline: alerting, runbooks, blameless postmortems, and SLO-based operations.
Yes. Dedicated tracks cover internal developer platforms, paved paths, and the operating model that makes platform teams effective.
A room or virtual setup, participant list, and access details for lab environments. We ship lab guides, exercises, and completion evidence.
Discovery to delivery typically takes two to four weeks, depending on customization depth and trainer matching for your stack.
Yes. You can sit in on a trial session with the shortlisted trainer before committing, to check fit with your team and level.
Pick the scale that matches your rollout. Every quote is tailored to your teams and timeline.
Team size
1–25 PARTICIPANTS
One or two programs for a single team, delivered as a closed cohort. The usual entry point for a first DevOps engagement.
26–150 PARTICIPANTS
Multiple cohorts or programs for larger teams, with delivery structured around your workforce and training requirements.
151–1,000 PARTICIPANTS
A coordinated rollout across business units, with role-based tracks and central reporting for L&D.
1,000+ PARTICIPANTS
DevOps capability at organizational scale, with dedicated management and measurement from pilot to rollout.
Tell us which teams you are training and what they need to be able to do. Anything you filtered in the catalog comes through with your message.