Revolutionizing Home Inspections with Spectora's All-in-One Software
Spectora revolutionized the home inspection industry with its all-in-one software, streamlining reporting, business management, and client communication. Founded by brothers Mike and Kevin Wagstaff, it blends blue-collar dedication with modern technology to enhance efficiency. Its user-friendly interface reduces administrative tasks, letting inspectors focus on assessments.
Home Inspection Software Industry.
AWS Services: AWS Route53, Amazon Simple Storage Service (S3), Amazon Elastic Container Registry (Amazon ECR), AWS CloudFront, AWS ECS Fargate , Amazon Relational Database Service (RDS-MySQL), Application LoadBalancer (ALB), Lambda Function, AWS OpenSearch, AWS CodePipeline (CodeCommit, CodeBuild, CodeDeploy) and IAM role.
Spectora is a leading home inspection software platform that helps inspectors manage and grow their businesses efficiently. It provides an all-in-one solution, including report writing, business management tools, and marketing services. Initially, Spectora operated on an infrastructure relying on EC2 instances for hosting its MySQL database, Elasticache and handling image processing tasks. However, as the business expanded, this architecture faced challenges with scalability, cost efficiency, and operational complexity.
To address these issues, Cloudzenia proposed a modern, scalable solution to handle increasing demand while improving performance and security. Key priorities included migrating to managed services, optimizing infrastructure costs, and implementing event-driven processing for efficiency
By transitioning to Amazon RDS, Spectora eliminated manual database maintenance, enhancing availability and reliability. Moving image processing to AWS Lambda and Amazon S3 reduced operational overhead while improving scalability.
Additionally, Spectora leveraged Amazon CloudFront to accelerate content delivery, improving user experience. AWS IAM policies strengthened security, ensuring data protection. These strategic upgrades enabled Spectora to enhance performance, reduce costs, and provide a seamless experience for inspectors. As the company grows, this optimized infrastructure ensures long-term success and innovation.
Legacy EC2-Based Infrastructure: Spectora's original setup relied on EC2 instances for both MySQL database hosting and image processing. This approach led to high maintenance overhead, difficulty in scaling, and increased operational costs. As demand grew, managing the infrastructure manually became increasingly complex, requiring dedicated engineering resources to maintain uptime and performance.
Performance Bottlenecks: Handling large-scale image processing directly on EC2 instances caused delays and resource constraints. This resulted in performance degradation, particularly during peak usage hours, as CPU and memory resources were frequently exhausted. Slow image processing impacted the user experience, leading to longer report generation times for inspectors.
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We migrated the frontend to Amazon S3 static website hosting, paired with Amazon CloudFront as a global Content Delivery Network (CDN). This transition significantly improved availability, reduced latency for users worldwide, and eliminated infrastructure management.
Image processing was handled on EC2 instances, leading to performance bottlenecks and high costs. By migrating to AWS Lambda, we enabled automatic scaling and reduced infrastructure costs.
The transition from an EC2-hosted MySQL database to Amazon RDS improved database performance, reliability, and scalability. Amazon RDS provided automated backups, failover support, and simplified maintenance.
The legacy search mechanism was slow and inefficient. By implementing Amazon OpenSearch, we enabled faster data retrieval, full-text search capabilities, and advanced analytics.This enhanced search functionality.
To improve scalability and fault tolerance, we containerized backend services and deployed them on AWS ECS Fargate. This approach eliminated the need to manage EC2 instances while enabling independent scaling of microservices.
A PDF parsing solution was integrated into the system to automate document processing. This improved data extraction, workflow automation, and report generation efficiency.
To ensure smooth, zero-downtime deployments, we introduced AWS CodePipeline for CI/CD automation. This streamlined release process, enabling backend and frontend updates to be deployed efficiently without manual intervention.
To efficiently manage multiple environments, we introduced AWS Organizations and Single Sign-On (SSO). This streamlined access control and governance, simplifying account management across different deployments.Centralized policies improved security, while structured cloud environments
To safeguard sensitive inspection data and ensure regulatory compliance, we implemented robust security measures, including strict Identity and Access Management (IAM) policies and encrypted data storage.
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