Harvester Advanced Training
Design Harvester for high availability, disaster recovery and scale, and apply real-world deployment patterns and upgrades. Learn Harvester through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Harvester levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Harvester Advanced Training.
Understand where Harvester fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Harvester is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Harvester program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.
Private Harvester training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Harvester training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Harvester usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Advanced | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Advanced | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 5 Days | Corporate | Harvester Advanced Training | Private team batch |
What learners should be able to do after Harvester training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Run VMs on Harvester
Install Harvester and create, configure, migrate and manage virtual machines on hyperconverged infrastructure.
Configure storage and networking
Design Longhorn storage, VLAN networks and load balancers for production workloads.
Operate resilient HCI clusters
Secure, monitor, back up, integrate with Rancher and upgrade highly available Harvester clusters.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Harvester responsibilities before reviewing the detailed agenda.
Why Harvester matters
- Harvester helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Harvester becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Harvester effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Harvester concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Harvester in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Harvester for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Harvester usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Harvester.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: HCI concepts, architecture, installation and first VMsDay 1
- Introduction to Harvester: overview of features, architecture and use cases for open source HCI
- Harvester building blocks: SUSE Linux Enterprise Micro, RKE2, KubeVirt and Longhorn
- Harvester installation prerequisites: hardware, CPU virtualization, disks, NICs and network planning
- Deployment options: ISO install, PXE boot, USB install and joining additional nodes
- Post-installation configuration: cluster VIP, NTP, DNS, SSL certificates and settings
- Harvester management interface: overview and navigation of the dashboard, hosts and resources
- VM images: uploading ISO and qcow2 images and downloading images from URLs
- Managing virtual machines in Harvester: provisioning with CPU, memory, disks and networks
- Cloud-init: user data and network data for automated guest configuration
- VM operations: start, stop, restart, console access, resizing and SSH keys
- Lab: installing and configuring Harvester and creating first virtual machines
Essential Level = Foundation + storage, networking, migration and day-to-day operationsDay 2 · 2 days cumulative
- Storage configuration in Harvester: Longhorn storage pools, volumes and replica policies
- Storage classes: replica count, disk selectors and data locality settings
- Volume operations: hot-plugging volumes, expanding disks and volume snapshots
- Networking setup in Harvester: management network, cluster networks and network configs
- VLAN networks: uplink NICs, bonding modes and attaching VMs to VLANs
- Load balancers: VM load balancers and IP pools for exposing workloads
- VM migration: live migration between hosts and resizing running workloads
- Host management: maintenance mode, cordoning nodes and adding or removing disks
- Reusable VM definitions: VM configurations, SSH key pairs and namespaces for teams
- Lab: configuring storage resources and networking in Harvester
- Lab: managing VMs in Harvester with migrations and snapshots
Intermediate Level = Essential + monitoring, security, backup and Rancher integrationDay 3 · 3 days cumulative
- Monitoring and troubleshooting: monitoring cluster health with the Prometheus and Grafana add-on
- Logging and alerting: the logging add-on, log outputs and alert notifications
- Troubleshooting common issues: support bundles, node and VM events and kubectl access
- Lab: monitoring and troubleshooting in Harvester
- Security best practices: network security, access controls and encryption in Harvester
- Access control: users, roles and namespaces through Rancher multi-tenancy
- Lab: implementing security measures in Harvester
- Backup and recovery: strategies and techniques for backing up and restoring data in Harvester
- Backup targets: NFS and S3-compatible backup targets, VM backups, restores and snapshots
- Lab: implementing backup and recovery in Harvester
- Integration with Rancher: overview of integrating Harvester with Rancher for centralized management
- Lab: integrating Harvester with Rancher and provisioning guest Kubernetes clusters
Advanced Level = Intermediate + high availability, DR, scale, devices and upgradesDays 4-5 · 5 days cumulative
- Advanced Harvester features: high availability, disaster recovery and scalability
- High availability design: three-node control plane, witness node and failure domains
- Disaster recovery: restoring VMs to another cluster and backup scheduling strategies
- Device passthrough: PCI devices, vGPU, USB passthrough and SR-IOV networking
- Harvester CSI and cloud provider: persistent volumes and load balancers for guest Kubernetes clusters
- Third-party storage: using external CSI storage alongside Longhorn
- Upgrades: upgrade paths, pre-upgrade checks and rolling node upgrades
- Infrastructure as code: the Harvester Terraform provider and GitOps-managed VM definitions
- Lab: implementing advanced features in Harvester
- Use cases and deployment patterns: real-world deployment scenarios such as edge, VDI and VMware replacement
- Lab: deploying Harvester in different use case scenarios
- Certification preparation: tips and strategies for preparing for Harvester-related certifications and Q&A session
- Hands-on workshop: labs and exercises focusing on participants' specific areas of interest or challenges
- Recap and review: summary of key topics, feedback session and next steps for learning and community
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Harvester levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Install Harvester and launch VMs
Install a Harvester cluster from ISO, upload a cloud image and provision Linux virtual machines configured through cloud-init.
Configure storage, VLANs and migration
Create storage classes and a VLAN network, attach VMs to them, expose a service through a load balancer and live-migrate a VM during host maintenance.
Secure, back up and centralise Harvester
Enable monitoring and logging, apply role-based access, back up and restore VMs to S3 and import the cluster into Rancher to provision a guest RKE2 cluster.
Design a resilient Harvester platform
Build a highly available cluster with GPU or PCI passthrough, run a DR restore to a second cluster and upgrade the cluster with zero VM downtime.
Harvester is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Harvester with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Harvester certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Harvester level.
Certificate verificationCertificate of Completion
Harvester Advanced Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Harvester path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Harvester Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Harvester level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Harvester practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Harvester workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Harvester Advanced training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.