Deploy RADAR-base on Kubernetes

@AZTURK1

Hi there, I will deploy the RADAR‑base open‑source stack from its GitHub repo onto your dedicated K3s server, designing namespaces, StorageClasses, and networking to RADAR‑base expectations so wearables can send data end-to-end. - Deploy RADAR‑base components: pull Docker images, apply Helm charts or bespoke manifests, configure services, Ingress, and HTTPS termination with cert-manager. - Implement persistent volumes, scheduled backups (PV snapshots), logging (Fluentd/Elastic optional) and restore validation; deliver a short run‑book covering adding projects, updating images, and scaling. - Provide Helm values, YAML manifests, and a post‑deploy verification checklist showing smartwatch -> dashboard data flow. - Risk/quality-control: backup checkpoint and staged deployment with post‑fix validation. Skills: ✅ RADAR‑base ✅ K3s ✅ Helm ✅ Docker/Kubernetes ✅ HTTPS termination / cert-manager ✅ PersistentVolumes / StorageClass Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I am available to start immediately. Is this K3s cluster already running on a live production server or is it a freshly provisioned dedicated host? Best regards,

@niveditaj1

Hello There, As per my understanding you want a production ready deployment of the RADARbase stack on a K3s cluster with full data persistence and ingestion capabilities. 1) Do you have a preferred ingress controller like Traefik or Nginx already configured for SSL termination? 2) Should the local storage be provisioned using Longhorn or a standard host path for simplicity? 3) Will you provide the specific OIDC provider credentials for the Management Portal authentication? I will set up your health data platform so you can start collecting insights from wearables immediately without worrying about server crashes or data loss. You will get a stable and secure system that handles the heavy lifting of data ingestion while keeping everything organized for your research projects. This deployment is built to be self sustaining, giving you the peace of mind that your data is safe and your platform is always accessible for your users. I will deploy the RADARbase ecosystem using Helm charts tailored for K3s, ensuring high performance on your hardware through optimized resource limits. I will configure persistent volume claims for Kafka and MongoDB to guarantee data durability and set up a centralized logging stack to monitor component health. Best regards, Nivedita Joshi

@MauricioB30

Hi! I'm a DevSecOps engineer with over 4 years of experience working with clients such as EY, Globant, and MercadoLibre (the largest e-commerce platform in Latin America). I've worked extensively with Kubernetes, Helm charts, and K3s deployments, which aligns well with what you need for RADAR-base. Here's what I'd deliver: - RADAR-base deployed on your K3s cluster using the official Helm charts and helmfile configuration - Namespace, storage classes, and networking configured as RADAR-base expects - HTTPS termination, persistence, and sensible defaults for logging and backups - A runbook covering how to add new projects, update images, and scale components A couple of questions before I give you a timeline estimate: - What's the spec of your dedicated server? (CPU, RAM, storage) - Do you already have a domain and DNS configured for HTTPS termination? Happy to jump on a call to scope this out. Best regards, Ing. Mauricio Batista

@cybexsoftadmin

Hi, I can deploy and configure the complete RADAR-base stack on your K3s dedicated server with a clean, production-ready setup. With 15+ years of DevOps and Kubernetes experience, I’ve worked on containerized platforms involving Helm, persistent storage, ingress, monitoring, and secure deployments. Approach: • Deploy RADAR-base components from GitHub using Helm/manifests • Configure namespaces, storage classes, networking, and ingress • Set up HTTPS termination and secure access • Configure persistence, backups, and logging • Validate wearable ingestion flow end-to-end • Provide operational runbook and update procedures Deliverables: • Fully working RADAR-base deployment on K3s • Persistent storage and HTTPS configured • Backup/logging setup • Documentation for scaling, updates, and project onboarding Outcome: • Ready-to-use wearable data ingestion platform • Stable and reproducible Kubernetes deployment • Simplified future maintenance and scaling Timeline: 2–4 days Quick question: Single-node K3s or multi-node cluster? Rahul

@raj00565

With a strong background in systems administration, network engineering and DevOps, my team and I possess a unique set of skills that make us well-suited for your RADAR-base deployment project. Over the course of our combined twelve years of experience, we have gained extensive proficiency in Kubernetes and similar technologies which will allow us to competently deploy RADAR-base on your dedicated server running K3s. Our specialization in modern DevOps practices and cloud automation means that we are adept at customizing deployments to fit specific requirements, as is the case with your project. We understand that you need a clean, standalone deployment without any external databases or monitoring services—which we can execute flawlessly and design the namespace, storage classes, and networking exactly as per RADAR-base expectations. Furthermore, we value the importance of not only delivering but also ensuring a smooth transition and adoption process. With this in mind, it is our commitment to provide a comprehensive run-book for future reference—an essential aspect for maintaining the cluster's optimal functioning over time—covering all aspects from adding new projects to updating images and scaling components. Partner with us and let our knack for innovation and efficiency take your RADAR-base deployment to new heights!

@Hrolgar

RADAR-base's Helm chart ships with persistence toggled off, which means the first real decision is storage class selection before anything else touches the cluster. Local-path provisioner handles Kafka's log dirs and MongoDB fine on a single-node K3s setup, but PVC sizes need to be locked before helm install or you're rebuilding stateful sets mid-deployment. Plan from there: namespace with resource quotas, cert-manager and Traefik (already bundled in K3s) for TLS on both the gateway and the management portal, then helm install the RADAR-base umbrella chart with persistence enabled and retention tuned. Acceptance test is ingest via the smartwatch SDK sample data and verify the data flow surfaces in the RADAR dashboard. I've run Kafka+Mongo stacks on K3s for research platforms before, so the storage class alignment and ingress passthrough quirks are familiar ground. Run-book covers: adding a new project, rotating component images, and scaling the Kafka consumer group when wearable count grows. Markdown, versioned in your repo. INR 35,000 total, 7 days: M1: Cluster foundation (namespace, storage class, Traefik TLS, cert-manager), INR 8750, 1d. M2: RADAR-base helm install with persistence, INR 8750, 2d. M3: Gateway and dashboard HTTPS, ingest smoke test with SDK sample data, INR 8750, 3d. M4: Run-book, scaling notes, handover, INR 8750, 1d. The listed budget doesn't fit a production stand-up with persistence, HTTPS, and a run-book, so I'm pricing at what the work costs. If you want a dev-grade install first with a path to extend later, that's worth scoping before we kick off.

@iimtpradeepdash

Hi! The main thing with RADAR-base on K3s is making sure all services actually talk to each other the way the stack expects. The defaults in their Helm charts don't always map cleanly to a single-node K3s setup, especially for persistence and HTTPS. I shipped a production-ready K3s deployment for a SaaS AI chatbot platform recently, handling custom storage and self-signed certs across Docker images and Helm charts. For yours, I'd tune storage classes to map to local disks, set up cert-manager for HTTPS, and write out a run-book in plain English. Backups and logging would use built-in K3s tools so you aren't locked to any cloud service. Quick check on your end—how much disk and RAM do you have on this server? That decides how much of RADAR-base can run side-by-side. I can send you a draft run-book outline so you see my approach. You can also check out some related K3s and SaaS setup work at work.techindika.com. — Pradeep

@ravikumarsingh1

I will help deploy and stabilize the full RADAR-base stack on your K3s environment with a clean, production-ready Kubernetes setup. I’ve worked on similar Kubernetes/DevOps deployments involving: K3s/Kubernetes clusters Helm-based deployments containerized microservices ingress/HTTPS configuration persistent storage production infrastructure hardening RADAR-base is not just a simple Helm install—the important part is correctly handling networking, persistence, ingress, and service dependencies so the wearable-data pipeline remains stable end-to-end. What I’ll do: • Deploy RADAR-base stack on K3s • Configure namespaces and networking • Deploy via Helm charts or custom manifests where needed • Configure persistence/storage classes • Set up HTTPS termination and ingress routing • Configure logging and backup strategy • Validate: container health API access wearable ingestion dashboard functionality • End-to-end testing: smartwatch/device connectivity data ingestion flow dashboard visibility Deliverables • Fully operational RADAR-base deployment • Secure HTTPS-enabled setup • Persistence + backup configuration • Runbook covering: scaling upgrades adding projects image updates operational maintenance Focus Areas Stable Kubernetes deployment Clean architecture Easy maintainability Reproducible configuration Available to start quickly once server access and repository details are shared.

@Mayurisalgat13

Hello, I reviewed your RADAR-base deployment requirement carefully. This is more than a basic Kubernetes setup — the key challenge is ensuring all RADAR-base services, storage, networking, and ingestion pipelines work reliably inside a K3s environment. I can help deploy a clean, production-ready RADAR-base stack on your dedicated server with: - Proper namespaces and ingress setup - Helm/custom manifest deployment - Persistent storage and backup configuration - HTTPS termination - Logging and operational defaults - End-to-end verification of wearable data ingestion The focus will be on stability and maintainability, not just getting containers running. I’ll validate service communication, persistence, ingress routing, and dashboard accessibility so you can immediately connect a smartwatch and see live data flowing through the system. Deliverables include: - Fully operational K3s deployment - Deployment manifests/Helm configs - Backup and logging setup - HTTPS-enabled dashboards - Short run-book for updates, scaling, and maintenance I’d also be happy to discuss: - Server specifications - Ingress/storage preferences - DNS/domain setup - Future scaling plans Looking forward to discussing the deployment workflow further.

@shadabkhan92

As a seasoned Kubernetes and DevOps engineer, I believe I am a perfect fit for your project. I have ample experience deploying and maintaining complex applications on Kubernetes, such as the RADAR-base stack. Having worked with platforms including AWS, GCP and Azure, adapting to your K3s environment won't be a concern- rather an opportunity to bring out the best of my adaptability. Whether it's pulling Docker images or utilizing Helm charts or custom manifest writing that your project requires, I can guarantee a smooth setup process. Moreover, my proficiency extends beyond just the deployment. I excel at configuring sensible defaults for your persistence, backups, logging and HTTPS termination – all of which are crucial to ensure a secure and efficient production environment.I would also be constructing a short run-book to aid future management including adding new projects or scaling components. My aim is not only to set up your RADAR-base stack, but also make sure you are able to maximize its potential without encountering any bottlenecks or complexities. Lastly, if there's anything that distinguishes me from other professionals in this field; it's my ability to seamlessly blend in various tech-stacks like React, Flutter,Django and Node.js.I'm confident that this capability alongside my proven record with Cloud Computing and Docker can add immense value to your project. For us at MOHD SADAB

@kushagrasingh592

I can help you set up the complete RADAR-base platform on your K3s server from scratch and make sure everything works properly end-to-end. I have strong experience with Kubernetes, K3s, Docker, Helm, Linux, and production DevOps setups. I’ll handle the full deployment, configure storage, HTTPS, logging, and backups, and make sure all RADAR-base services are connected correctly. Once setup is complete, you’ll be able to connect a smartwatch/wearable device and see the data flowing directly into the dashboards. I’ll also provide a simple run-book so you can easily manage updates, add new projects, and scale services later without hassle.

@SourabhTailor

I am a seasoned Kubernetes and DevOps engineer with strong experience deploying K3s clusters and managing production-ready infrastructure. I specialize in deploying open-source platforms like RADAR-base using Helm charts and Kubernetes manifests. I have expertise in Docker, container orchestration, and CI/CD automation. I can configure ingress, HTTPS, storage, and secure networking for reliable deployments. I also handle persistence, backups, logging, and monitoring for stateful applications. I am experienced in IoT and wearable data pipelines with real-time ingestion into dashboards. I work confidently on Linux servers with scripting and automation skills. I design clean, scalable architectures tailored to project requirements. I ensure smooth deployment, testing, and system stability end-to-end. I also provide clear documentation and run-books for maintenance and scaling.

@juan99lizano

You need RADAR-base fully operational on K3s — wearable data flowing end-to-end to the dashboards, with no external dependencies. I've deployed complex Helm-based stacks on K3s (including Kafka-heavy pipelines), handling storage class configuration, Traefik HTTPS termination, and persistent volume tuning specific to K3s's local-path provisioner. RADAR-base's stack — Kafka, Confluent components, ManagementPortal, Dashboard — is well within that scope. I can deliver: running RADAR-base cluster on your server, namespaced and secured, with HTTPS, persistence, basic backup strategy, and a concise runbook covering project onboarding, image updates, and scaling. Timeline: 5–7 days including verification that a test device streams data through to the dashboard. Budget-wise I'm well below market average here — happy to discuss a fixed milestone structure. Is your K3s node already provisioned with sufficient CPU/RAM for Kafka+Zookeeper, or do we need to assess hardware fit first?

@abdo1997mohamed9

Hello, I will deploy the RADAR-base open-source stack from its GitHub repository onto your dedicated K3s server and deliver a fully working, production-ready environment where wearable devices can stream data end-to-end into dashboards without external dependencies. Scope of Work: Deploy full RADAR-base stack using Helm charts and/or Kubernetes manifests Design clean K3s architecture with separated namespaces per service layer Configure StorageClass with persistent volumes for all stateful components Set up Ingress (NGINX or equivalent) with HTTPS/TLS via cert-manager Implement secure service exposure for APIs and dashboards Configure backups using scheduled snapshots with restore validation Set up logging (Fluent Bit or lightweight alternative if required) Validate system health and stability across all services Delivery Assurance: End-to-end verification (wearable → ingestion → processing → dashboard) Working HTTPS-secured access Tested backup and restore process Fully stable and accessible cluster Deliverables: Running RADAR-base K3s environment Helm values and/or Kubernetes manifests Architecture documentation Runbook (updates, scaling, recovery) Post-deployment verification checklist ⚙️ Clarification: Please confirm whether K3s is already installed or if cluster setup should be included in scope. I am ready to start immediately and deliver a stable, production-grade deployment with full documentation.

@Manish502

Hello Dear, I can deploy the complete RADAR-base stack on your K3s server with a clean, production-ready Kubernetes setup. I regularly work with K3s, Helm, Docker, ingress, SSL, persistent storage, and self-hosted platforms. I’ll configure the full deployment including HTTPS, backups, logging, persistence, and validate end-to-end wearable data ingestion into the dashboards. I’ll also provide a simple run-book for updates, scaling, and maintenance. My focus is not just getting containers running, but delivering a stable and maintainable cluster that works reliably from day one. Ready to start immediately please message me to start asap. Thankyou

@sumanthb22

Hi, I have 2.5 years of experience in DevOps and cloud technologies with hands-on experience in Docker, Kubernetes, Linux, AWS, CI/CD pipelines, and deployment automation. I can help you deploy the RADAR-base stack on your K3s server and configure the required namespaces, networking, and storage properly for a stable standalone setup. I am comfortable working with GitHub repositories, Helm charts, Docker images, and Kubernetes manifests. I can ensure the deployment is clean, operational, and properly tested for data ingestion. I am available to start immediately and can complete the deployment within the given timeline with proper communication and support throughout the project.I'm well-versed in RADAR-base's functionalities and can create a deployment with sensible defaults regarding persistence, backups, logging, and HTTPS termination to ensure your cluster operates securely and smoothly. And don't worry, I'll even provide you with a thorough run-book so that you're equipped to handle future updates and scaling effortlessly.

@ayazap1

Hi, I can help you deploy the RADAR-base stack on your K3s dedicated server with a clean and standalone Kubernetes setup. I have experience with: • Kubernetes & K3s • Docker container deployments • Helm charts & manifests • CI/CD and backend infrastructure • Linux server management • HTTPS/Nginx configuration I can configure: • Persistent storage • Backups and logging • Secure HTTPS termination • Namespace and networking setup • Deployment documentation/runbook I will ensure the cluster is fully operational and data flows correctly from the smartwatch services to the web dashboards as expected. I can start immediately and provide regular updates during deployment. Let me know: • Current server specifications • OS version • Existing K3s setup status • GitHub repository access/details Looking forward to working with you.

@payney

Hello, I can help deploy RADAR-base on your dedicated server running K3s and provide a clean handover runbook. I have 13+ years of experience in software architecture, DevOps infrastructure, Kubernetes, Docker, microservices, CI/CD, high-availability deployment, and IoT/data systems. I have designed and delivered Kubernetes-based platforms and data monitoring solutions, including MQTT-based high-concurrency ingestion and dashboard-oriented systems. For this project, I can deliver: - Review of server, K3s version, storage, network, DNS, and SSL requirements - Namespace, storage, networking, and deployment structure design - RADAR-base deployment using Helm charts or custom manifests where needed - Persistence, logging, HTTPS termination, and sensible backup defaults - Verification that wearable/device data can flow to the web dashboard - A concise runbook covering maintenance, updates, scaling, and adding new projects My bid is INR 12,500 for deployment and runbook, assuming the server is accessible and required domain/DNS/credentials are available. If additional infrastructure or custom integration is needed, we can define a separate milestone. Best regards, Payne Yang

@kamkoum

I’m a CKA and CKAD certified Kubernetes engineer — this is exactly the kind of work I do. For this project I will: clone the RADAR-base repo, analyze its manifests and dependencies, deploy it cleanly on your K3s cluster with proper namespace isolation, configure PersistentVolumes for storage, set up HTTPS termination via cert-manager + ingress, and write Helm charts or custom manifests as needed. I’ll deliver a cluster you can log into and immediately see data flowing — exactly what you described. Available to start today.