Node Runner LANCER

Lancer : Ideal for quick, focused engagements Team: ≤ 2 resources Duration: ≤ 3 weeks Indicative Budget: ≤ $3,000 USD* Use Cases: MVPs, prototypes, simple websites, bug-fix sprints Indicative Pricing: ~$15–$25/hr per resource*

Growth : Best suited for growing products or structured builds Team: 2–5 resources Duration: Up to 4 months Indicative Budget: Up to $30,000 USD* Use Cases: Feature-rich web apps, integrations, custom dashboards Indicative Pricing: ~$15–$35/hr per resource*

Enterprise : Tailored for high-scale, complex or long-term initiatives Team: 5+ resources Duration: More than 4 months Indicative Budget: Starts from $30,000+ USD* Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems Indicative Pricing: ~$25–$50/hr depending on roles*

(Development)

Technologies Involved:

TERRAFORM

AWS BEDROCK

Area Of Work: Amazon Cloud

Project Description

Node Runner is an infrastructure-heavy DevOps initiative that involved deploying third-party software across cloud environments using modern container orchestration and configuration tools. The client engaged Oodles to manage ongoing deployments using Kubernetes, Terraform, Ansible, and Grafana, ensuring seamless delivery, automated monitoring, and performance visibility. The deployment infrastructure had to support high availability and scale across both IBM Cloud and AWS.

Scope Of Work

The client required expert DevOps support to deploy and manage multiple services using Kubernetes clusters. The deployment stack included Terraform for infrastructure provisioning, Ansible for configuration management, and monitoring tools like Prometheus and Grafana. Key requirements included seamless deployment automation, proactive system monitoring, and future-proof infrastructure migration strategies. The manifests and Terraform scripts were partially prepared, but required thorough validation, fine-tuning, and production-ready deployment on cloud platforms.

Our Solution

To address the client’s deployment and monitoring needs, we delivered:

Validated and customized Terraform scripts for scalable infrastructure provisioning
Deployed Kubernetes clusters with optimized manifests for each software component
Used Ansible playbooks to configure instances, environments, and runtime dependencies
Integrated Prometheus and Grafana dashboards for real-time resource monitoring
Enabled CI/CD pipelines for automated builds, deployments, and version tracking
Set up automated alert systems for key metrics using Grafana and Prometheus
Supported multi-cloud readiness with scripts compatible with both AWS and IBM Cloud
Managed weekly DevOps tasks with 10–20 hour availability, offering long-term support
Ensured documentation and version control for all infrastructure changes

Project Description

Scope Of Work

Our Solution

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Technologies Involved

Area Of Work

Technologies Involved

Area Of Work