At a Glance

Industry: Agricultural Technology (Agri–tech), Geospatial Analytics Goal: Strengthen AWS foundation for security, scalability, and operational maturity ahead of first product launch.

Services & Technology Stack

OpsGuru Services: Cloud Architecture Assessment, Security Posture Review, AWS Well-Architected Review, Strategic Roadmap Design

Tooling: Amazon ECS Fargate, Amazon DynamoDB, Amazon S3, Amazon Route 53, Application Load Balancer, Amazon ECR, AWS GuardDuty, AWS CloudTrail, IAM Access Analyzer, AWS KMS, VPC Endpoints, Amazon SQS, Amazon CloudWatch, Prowler

Key Expected Outcomes

• Clear, actionable roadmap to production readiness

• Strengthened security posture with private VPC Endpoints and GuardDuty

• Improved operational reliability with automated backups and future fault-tolerant design

• Reduced network costs through private routing

• Strengthened internal knowledge to enable independent scaling and growth

Background

LandWise Analytica is a Canadian geospatial analytics startup focused on generating actionable insights for businesses, governments, and landowners looking to optimize land use and agricultural investment. Their AI-powered service leverages satellite imagery, historical yield data, and climate projections to generate actionable reports that reduce investment risk, identify which crops grow best, and help plan for long-term changes in conditions.

As a pre-revenue company preparing for its first product launch, LandWise Analytica needed to ensure its technology foundation could scale securely, cost-effectively, and with confidence. Their pilot platform, built on Amazon Web Services (AWS), was designed to prove out their core analytics capabilities.

However, with their launch on the horizon and a growing need for operational reliability, the leadership team wanted to elevate their environment to a production-grade standard aligned with AWS best practices. This meant creating a clear strategy to enhance security, streamline operations, and optimize their architecture for the next phase of growth.

Challenge

Preparing the Platform for Launch

Transitioning from product buildout to market readiness, LandWise Analytica saw an opportunity to mature its platform across several key dimensions. They sought to:

• Strengthen their security posture by ensuring that sensitive traffic between services, such as Amazon DynamoDB and Amazon S3, is handled through secure private channels.

• Accelerate their release cadence by reducing reliance on manual deployment processes.

• Increase operational resilience with more robust backup, logging, and threat detection capabilities.

To realize this vision, LandWise Analytica partnered with OpsGuru to establish a clear, structured path forward.

Solution

A Roadmap to Production-Grade Infrastructure

OpsGuru engaged LandWise Analytica through its Clear Path Forward, a structured assessment and strategic planning engagement designed to help organizations evolve from proof-of-concept environments to launch-ready platforms.

The engagement began with a discovery session to align technical objectives with business strategy. OpsGuru then conducted a security and architecture assessment using Prowler and the AWS Well-Architected Framework, surfacing high-value opportunities to harden and optimize the environment.

Securing the Core Architecture

A key pillar of the recommended solution focused on enhancing security and reducing exposure. OpsGuru proposed introducing VPC Gateway Endpoints for DynamoDB and S3, ensuring that traffic between application services and these core data stores is routed securely within the private network. This approach is designed to tighten the security perimeter and reduce NAT Gateway costs, making the architecture more cost-efficient from day one.

OpsGuru also advised enabling AWS GuardDuty for real-time threat detection and AWS CloudTrail for centralized multi-region governance logging. Together, these services would provide LandWise Analytica with greater visibility into security events, supporting a proactive defense posture. Additionally, IAM Access Analyzer was recommended to continuously identify overly broad permissions, supporting a least-privilege access model as the team scales.

Building Operational Resilience

Beyond security, OpsGuru identified opportunities to strengthen operational maturity. Automated backup mechanisms were recommended for DynamoDB to safeguard critical data against accidental deletion or service disruption.

OpsGuru also proposed incorporating Amazon SQS into future reporting workflows to decouple critical processes and enable a more fault-tolerant, event-driven architecture. These recommendations are designed to position LandWise Analytica for scalable, reliable operations as its platform grows.

A Strategic Roadmap for Scale

The engagement concluded with a comprehensive recommendations report and modernization roadmap, detailing short-term remediations and longer-term evolution paths. Each recommendation was directly tied to business outcomes: stronger security, improved operational resilience, lower costs, and increased agility. The roadmap provides LandWise Analytica with a clear structure to guide implementation at its own pace while ensuring alignment with AWS best practices.

"Facing the critical need for security and scale pre-launch, we required expert direction. OpsGuru didn't just advise; they precisely diagnosed where our AWS environment needed maturation and delivered a strategic roadmap to achieve it. This has proven to be an invaluable partnership, positioning us perfectly for sustained growth." - Liam Graham, Co-Founder

The Results

The key deliverable of the engagement was a strategic, prioritized roadmap for evolving LandWise Analytica’s AWS environment from a pilot deployment to a production-grade platform. The roadmap equips their team with the clarity, structure, and recommended service design to scale confidently.

By following the roadmap’s recommendations to implement VPC Endpoints, GuardDuty, CloudTrail, and IAM Access Analyzer, LandWise Analytica will be positioned to launch with a significantly reduced attack surface, improved governance visibility, and the ability to detect and respond to threats proactively.

Backup automation and the shift toward an event-driven architecture using SQS will help LandWise Analytica increase fault tolerance, reduce manual overhead, and enable reporting processes to scale smoothly with user activity. Routing service traffic through private VPC Endpoints is also expected to reduce NAT Gateway data transfer costs, improving cost efficiency as the platform scales.

Just as importantly, the engagement bridged potential knowledge gaps within the LandWise Analytica team. With a clear, actionable plan and architecture recommendations, they now have the structure to implement changes at their own pace and operate their AWS environment with greater confidence and control.

Scaling Beyond the Launch

The roadmap also identified longer-term initiatives to continue maturing the platform. LandWise Analytica plans to implement a fully automated CI/CD pipeline using AWS CodePipeline, adopt Infrastructure as Code through Terraform or AWS CloudFormation, and expand SQS-driven workflows to strengthen operational resilience. These next steps will allow LandWise Analytica to scale rapidly while maintaining security, agility, and cost discipline.