Tag: cloud

Transforming Cloud Efficiency: How Sheba.xyz Cut AWS Costs by Over 60%

Sheba.xyz, a prominent online service marketplace in Bangladesh, connects users with professional services like home repairs, cleaning, beauty, and maintenance. Catering to millions of service requests monthly, Sheba.xyz relies heavily on AWS (Amazon Web Services) to ensure a seamless user experience. However, as the platform scaled, inefficiencies in cloud resource management led to skyrocketing costs. Leveraging my expertise, I engaged in an end-to-end optimization of Sheba.xyz’s AWS infrastructure to streamline operations and achieve substantial cost savings. Using the STAR (Situation, Task, Action, Result) method, here’s how we transformed their cloud strategy.


Situation

As Sheba.xyz grew, AWS infrastructure costs surged to $12,000 per month, posing significant financial strain. Key challenges included:

  • High Infrastructure Costs: Ineffective resource management led to escalating costs.
  • Underutilized Resources: Over-provisioned EC2, EBS, and ALB instances consumed unnecessary resources.
  • Outdated Storage and Snapshots: Retaining obsolete snapshots and using costlier EBS GP2 volumes increased storage expenses.
  • Lack of Cost Optimization Strategies: Absence of Savings Plans, Reserved Instances, and billing alerts amplified unpredictability.
  • Inefficient Database Management: Using Aurora MySQL unnecessarily inflated costs.

Task

My primary objective was to optimize Sheba.xyz’s AWS infrastructure to:

  1. Reduce monthly cloud expenditure by at least 50%.
  2. Ensure efficient utilization of resources while maintaining platform performance.
  3. Introduce sustainable monitoring practices for long-term cost control.

Action

To address the challenges, I implemented a systematic optimization strategy:

  1. AWS Infrastructure Audit:
    • Conducted a detailed assessment of resource usage.
    • Identified underutilized instances and redundant services.
  2. EC2 Optimization:
    • Consolidated underutilized smaller instances into fewer, larger ones.
    • Decommissioned stopped instances still accruing costs.
    • Applied AWS Savings Plans and Reserved Instances to stabilize expenses.
  3. EBS and Storage Efficiency:
    • Migrated from GP2 to GP3 volumes, achieving cost efficiency with improved IOPS.
    • Eliminated outdated snapshots of EBS and RDS instances.
  4. Database Migration:
    • Transitioned from Aurora MySQL to the more economical RDS MySQL using AWS Database Migration Service (DMS).
  5. Network Optimization:
    • Fine-tuned Route53 and VPC configurations to improve traffic routing and reduce latency.
    • Utilized ACM for cost-effective SSL/TLS certificate management.
  6. Cost Monitoring and Alerts:
    • Integrated AWS CloudWatch to track performance metrics and enable real-time billing alerts.

Result

The implementation of these strategies yielded transformative outcomes:

  • Cost Reduction: Monthly AWS expenditure dropped by 50% to $6,000 within the first month, with further optimizations targeting a reduction to $4,500 (62.5% total savings).
  • Improved Resource Utilization: Consolidation of resources maximized efficiency without performance compromise.
  • Enhanced Visibility and Control: Real-time cost monitoring tools provided actionable insights into AWS usage.
  • Scalable and Reliable Infrastructure: Optimizations ensured the platform could handle increased traffic while maintaining high availability and performance.

Conclusion

Sheba.xyz’s cloud optimization journey underscores the value of strategic resource management and cost-saving practices. Through collaborative efforts and targeted interventions, we achieved significant cost savings, enabling Sheba.xyz to reinvest in customer-centric innovations and future growth. This case exemplifies how organizations can align cloud infrastructure with business goals to maximize operational efficiency and value.

Modernize Enterprise Legacy Applications with Gen AI: Highlights from AWS Community Day Malaysia 2024

On November 9th, 2024, the dynamic and tech-savvy city of Kuala Lumpur came alive with the AWS Community Day Malaysia, an inspiring event organized by the AWS User Group Malaysia. It was an absolute privilege for Brain Station 23 to be the platinum sponsor of this prestigious gathering, celebrating innovation, collaboration, and the transformative power of cloud computing.

As the Director and CTO of Brain Station 23, and an AWS Ambassador, I had the honor of delivering a session titled “Modernize Enterprise Legacy Applications with Gen AI.” Sharing the stage with passionate technologists and decision-makers was a humbling experience that reaffirmed the importance of community in driving technological progress.

A Leap Beyond Legacy: Why Modernization Matters

Legacy systems, while often the cornerstone of enterprise operations, can become roadblocks to growth, innovation, and adaptability. My session focused on how modernizing these systems is no longer a choice but a necessity. With AI-powered solutions, enterprises can achieve:

  • Improved Performance and Scalability: Unlocking new potential for legacy systems to integrate with modern technologies.
  • Cost Efficiency: Reducing operational costs while increasing agility.
  • Enhanced User Experiences: Delivering seamless and modern applications that delight users.

The Generative AI Advantage

The crux of the session revolved around leveraging Generative AI to revolutionize the way legacy systems are modernized. Here’s how Gen AI is changing the game:

  • Automation of Repetitive Tasks: Tasks like code classification, refactoring, and migration are streamlined, saving significant time and effort.
  • Error Detection and Resolution: AI quickly identifies and addresses errors in legacy systems, ensuring smooth transitions.
  • Accelerated Development: Developers can focus on strategic decision-making while AI handles routine but critical processes.

Success Stories: Real-World Transformations

I shared several compelling case studies from Brain Station 23’s portfolio, illustrating the tangible impact of Gen AI on modernization projects:

  • Visual Basic to .NET: A complex medical management system was migrated to .NET 8 in just 17 hours, improving security and user experience.
  • FoxPro to Modern Web Frameworks: AI tools reduced development time by 9 hours, proving efficiency in handling niche legacy systems.
  • Android to Flutter: By utilizing AI, we streamlined app conversion, ensuring robust architecture and faster deployment.

These examples not only demonstrated our technical expertise but also highlighted the incredible possibilities AI brings to legacy modernization.

The Buzz at AWS Community Day

The energy at AWS Community Day was nothing short of electrifying. Attendees explored cutting-edge solutions at Brain Station 23’s booth, engaging in meaningful discussions about the future of cloud technologies. Beyond my session, the event featured workshops, networking opportunities, and invaluable knowledge-sharing among AWS enthusiasts and professionals.

short video capturing the event and my presentation deck are now available for those who couldn’t attend, offering a glimpse into the insights shared and the enthusiasm that filled the air.

Final Thoughts: A Call to Action

Being part of AWS Community Day Malaysia 2024 was a reminder of the immense potential we hold as a community. At Brain Station 23, our mission is to empower businesses to embrace the future—whether through Generative AI, cloud solutions, or innovative approaches to complex challenges.

If you’re ready to modernize your legacy systems and embark on a journey toward agility and innovation, let’s connect. Together, we can unlock new horizons and redefine what’s possible.