How a Global Enterprise Cut Cloud Storage Spend and Improved Data Lifecycle Efficiency Through Intelligent Optimization

Client Name: EZJobs

Industry: Job Search Platform

Region: N.Virginia (US-East-1) & Oregon (US-West-2)

Duration: 1 Week

Customer Challenge

EZJobs is a rapidly growing job search platform that connects job seekers with employers. With increasing user engagement and data volume, EZJobs needed a scalable, secure, and cost-effective solution to store resumes, job listings, and user-generated content. The challenge was to manage large volumes of unstructured data, ensure high availability and durability, control storage costs, and meet compliance requirements.

Objective

The objective of this solution was to streamline EZJobs’ object storage operations by implementing secure, scalable, and cost-efficient practices. The goal was to enhance data protection, optimize storage costs, and align with AWS Well-Architected Framework best practices.

Solution by Futran Solutions

Futran Solutions implemented Amazon S3 to store all user-generated content and platform assets for EZJobs. The solution was designed to align with the AWS Well-Architected Framework, focusing on operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.

Managed Services Provided by Futran Solutions

Monitoring & Optimization: Delivered 24/7 monitoring of S3 workloads using Amazon CloudWatch and AWS Config, with proactive alerting and performance tuning.

Cost & Compliance Management: Provided FinOps support using AWS Cost Explorer and Trusted Advisor, ensuring optimized spend and governance alignment.

Storage Lifecycle Optimization: Managed and updated lifecycle policies to automate data tiering and archival, reducing costs and improving sustainability.

Data Protection: Implemented versioning and cross-region replication as part of a managed backup and disaster recovery plan.

Security & Compliance: Enforced encryption and access control policies, with regular audits to ensure compliance with industry standards.

AWS Services Involved

Amazon S3: Used for scalable object storage of resumes, job listings, and user-generated content.

Amazon CloudWatch: Monitors S3 access patterns and performance metrics.

AWS Identity and Access Management (IAM): Controls access to S3 buckets and objects.

AWS Key Management Service (KMS): Provides encryption for S3 buckets to ensure data security.

AWS Cost Explorer: Provides insights into storage usage and helps optimize costs.

Amazon S3 Glacier: Used for archival storage of infrequently accessed data.

Amazon S3 Intelligent-Tiering: Automatically moves data between access tiers based on usage patterns to optimize cost and performance.

Architecture Diagram

Architecture Highlights

Operational Excellence: Enabled basic monitoring using Amazon CloudWatch and configured S3 event notifications for future automation opportunities.

Security: Applied S3 bucket policies and IAM roles to enforce access control. Enabled default encryption using SSE-S3.

Reliability: Activated versioning on S3 buckets to protect against accidental deletions and support data recovery. Configured cross-region replication to enhance data durability and disaster recovery.

Performance Efficiency: Organized data using logical prefixes and folders to optimize access patterns.

Cost Optimization: Used S3 Standard and S3 Glacier storage classes. Implemented basic lifecycle policies to transition older data.

Sustainability: Utilized S3 Intelligent-Tiering to automatically move data to lower-cost and lower-energy storage tiers. Optimized storage usage by applying lifecycle policies to reduce unused data footprint, contributing to reduced energy consumption. Aligned storage practices with AWS sustainability goals to minimize environmental impact.

Outcomes and Benefits

50% reduction in storage costs through intelligent tiering.

Improved data security and compliance posture.

Scalable infrastructure that supports future growth and innovation.

Lessons Learned / Best Practices

Implement lifecycle policies to manage storage costs effectively.

Use encryption and access controls to secure sensitive data.

Monitor usage and performance to optimize operations.

Design for durability and availability using S3 features like versioning.

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