An initiative of the Community Chapter Bengaluru

Welcome !

C8-Labs is a hands-on learning platform for Camunda 8 Self-Managed on Kubernetes. In this self-paced program, you'll build and operate a complete Camunda 8 environment in a dedicated namespace within a Google Kubernetes Engine (GKE) cluster through guided labs. Each exercise includes detailed instructions, validation steps, and real-world scenarios to help you gain practical experience. Whether you're new to Camunda 8 or preparing for real-world deployments, C8-Labs provides a structured environment to learn by doing.

What You'll Learn Lab Gallery Who Should Attend? Access Plans Get Started

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Deploy on Kubernetes/GCP

Work with Helm scripts and cloud-native setup

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15+ Guided Execution Steps

Follow structured exercises from start to finish

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Dozen+ Hands-on Lab Exercises

Practical skills through immersive experiences

Lab Gallery

Visual summary of lab steps and environment snapshots from the course are presented below.
Click on any of the image(s) to begin Gallery View.

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Course Summary

Platform	Camunda 8 Self-Managed
Deployment	Kubernetes Engine on Google Cloud (GKE)
Learning Style	Guided Hands-on Labs
Experience Level	Skilled in Camunda. Basic DevOps knowledge.
Estimated Duration	Refer to section `Access Plans` for details.
Lab Environment	Each participant gets their own namespace on pre-configured GKE cluster
Validation	Documentation provided to check after each exercise / command-set execution
Prerequisites	Basic Kubernetes, command-line and Camunda knowledge

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What You'll Learn / Do

By the end of the labs, you'll be able to:

Deploy Camunda 8 on Kubernetes/GCP
Understand the Camunda 8 architecture
Deploy and operate Zeebe Orchestration, Operate, Tasklist, Identity, Optimize, and Connectors
Inside view of Kubernetes objects and Topology
Manage Secrets and ConfigMaps
Configure storage and persistent volumes
Monitor workloads using Prometheus and Grafana
Troubleshoot deployment issues
Scale and manage Camunda components
Clean up cloud resources after completing the labs

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Who Should Attend?

This lab is ideal for:

Camunda Developers
Solution Architects
DevOps Engineers
Migrating from Camunda 7 to Camunda 8
Camunda 8 Upskill

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Access Plans

This table compares what participants receive under the Free and Premium tiers. It highlights the key differences in access, duration, support, and learning experience so the plan choices are easy to scan.

Feature	Free Tier	Premium Tier
Eligibility Criteria to access this platform	⚠️ Attention Members! 01st July to 15th August 2026 We are running a special drive! Members of Camunda Community Chapter Bengaluru Scheduled Camunda Community events Special program for students and learners	Paid subscription
How to Register? A simple registration process. Use Sign In button to begin.	Request for access granted instantly. Click on `Sign In` to begin and submit request for access.	Onboarding by our backend team. You get instant access upon completion. Visit Get Started section for details. ETA for registration completion: 4-to-24 hours.
Lab Access Duration Time starts when user completes Onboarding instructions. See navigation link. Continuous hours, can't be divided into multiple time-windows.	6 Hours	48 Hours
Lab Access Method How does the user access the labs?	Use the Sign In button and enter your email using Email/OTP method. Enter the OTP sent to your email and you'll be taken directly to your hands-on lab. Note: After you Sign In, the session is valid for the period mentioned in Lab Access Duration. Please do not Sign Out during the lab access window.	Use the Sign In button and select Google or LinkedIn as Identity provider. Onboarding by our backend team. You get instant access upon successful onboarding. Note: After you Sign In, the session is valid for the period mentioned in Lab Access Duration. If you Sign Out, you may Sign In again within the access window and continue from where you left off.
Lab Access Email Communication Emails sent by the system during the access window. Look for emails from contact-at-makelabs.in. Check your spam folder if you don't see any emails in your inbox. Refer to FAQ for more details on email communication.	Yes Emails sent by the system during the access window. Onboarding emails: One email per onboarding session. Lab Usage Report: Sent once every two hours during the lab access window.	Yes Emails sent by the system during the access window. Onboarding emails: One email per onboarding session. Lab Usage Report: Sent every six hours (i.e., 4 times per calendar day).
Participant Access to GCP Project For security reasons, the participant can see the project via GCP web ui console and open Cloud Shell terminal session. Beyond that, there won't be much access given. (Note: Not having deeper project access will not limit the execution of labs)	Limited If you try to visit project resources such as Kubernetes Engine, IAM etc, you may see a message: You do not have access. Please ignore this, as limiting access is by design.	Limited If you try to visit project resources such as Kubernetes Engine, IAM etc, you may see a message: You do not have access. Please ignore this, as limiting access is by design.
Participant Access to Kubernetes Dashboard Access to see resources within participant namespace.	Below methods are available. Kubectl CLI commands via GCP Cloud Shell terminal window Yes Headlamp Kubernetes Dashboard UI Limited "view-only" access Headlamp Web UI is installed and preconfigured so participant can `view` objects in the participant specific namespace. You may not be able to open terminal session with Pods or view Pod logs due to limited access given to the participant. As an alternate, you may use the Kubectl CLI commands.	Below methods are available. Kubectl CLI commands via GCP Cloud Shell terminal window Yes Headlamp Kubernetes Dashboard UI Limited "view-only" access [Recommended] Install Project Lens UI Full access to your namespace Participant to install Project Lens UI app on their local machine (Refer to Prerequisites section in Navigation panel). Using Project Lens, you can `edit` (i.e., see and make changes to the) kubernetes objects in your assigned namespace. Recommended for gaining a deeper understandng of the physical architecture and infrastructure setup.
Complete All Labs We make best possible attempt to complete all labs in the course.	Depending on pace	Yes In case of technical issues on the platform, we'll ensure another session at a later date is arranged to make for lost time (only one extension allowed, within 15 days). Network connectivity and bandwidth is user's responsibility. User to submit a request via email or WhatsApp with evidence of technical errors with the Kubernetes cluster or GCP console. Our team will review and respond within 24 hours.
Self-paced Learning	✓ Sign In is allowed only once	✓ Sign In any number of times during lab access window
Resume Later	No	✓ Sign In any number of times during lab access window
Hands-on Exercises	Limited	✓
Labs Support Refer to `Support` navigation link for details.	Limited Join WhatsApp group for community support.	✓ Support via Microsoft Teams chat or Google chat or WhatsApp chat.
Ideal For	Workshop attendees	Deep learning & practice

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Get Started

Choose the option that matches how you’d like to access the labs. Refer to Access Plans section above to know the scope of what is covered under each plan.

Free Tier – Gain Instant access
Use the Sign In button and verify your email with a one-time password (OTP).
Start your 6-hour hands-on lab immediately. No waiting, no manual approval.
Premium Tier – Start Any Day
Choose your preferred start date, and we'll have your premium lab ready for you. Schedule a brief Microsoft Teams introductory session to clarify any questions you may have, and complete the enrollment process.

Get Premium Access

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Need Help?

If you have any questions or need assistance, please reach out to us through the following channels:

Email: contact-at-makelabs.in
WhatsApp +91 9353 800 430
Open Teams Chat
Open Google Chat raghavendra.chari at gmail.com

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Usage Policy and Educational Use Notice

c8-labs is an independent learning platform created to provide hands-on experience with modern cloud-native technologies and workflow orchestration. The learning content may include references to third-party technologies, product names, logos, trademarks, documentation, user interfaces, and screenshots solely for educational, instructional, and interoperability purposes.

All trademarks, logos, and other intellectual property remain the property of their respective owners. Their inclusion does not imply endorsement, sponsorship, or affiliation with c8-labs or MakeLabs.in unless expressly stated. Participants are expected to use the platform responsibly and only for the intended learning activities. Any temporary cloud resources, credentials, or access provided as part of a lab must not be used for purposes outside the scope of the workshop or training.

Acknowledgements

The c8-labs learning platform has been made possible by the technologies, open-source projects, and cloud services provided by the following organizations and communities. We gratefully acknowledge:

Camunda – Workflow orchestration platform and BPMN/DMN ecosystem.
Google Cloud Platform (GCP) – Cloud infrastructure and managed Kubernetes environment.
Kubernetes – Container orchestration platform.
Helm – Kubernetes package manager.
Cloudflare – DNS, SSL, and edge networking services.
Grafana – Metrics visualization and observability dashboards.
Prometheus – Metrics collection and monitoring.
Keycloak – Identity and Access Management (IAM).
PostgreSQL – Relational database.
Elasticsearch – Search and analytics engine.
Headlamp – Kubernetes web user interface.
NGINX Ingress Controller – Kubernetes ingress and traffic management.

Attribution

All product names, company names, logos, trademarks, service marks, and registered trademarks referenced within c8-labs remain the property of their respective owners and are used solely for identification and educational purposes.