Our client is a startup focused on helping multi-location brands manage and analyze their local advertising campaigns. They provide tools that enable brands to easily launch, customize, and target local ads to increase customer engagement and drive sales.
Managing rising cloud costs was becoming a real headache for the client. Every month, their expenses kept climbing, cutting into their profit margins. They needed a smarter, more efficient way to optimize their cloud usage—and fast. That’s where we stepped in, helping them slash costs by 40% and build a more scalable, cost-effective infrastructure.
Softude tackled the client’s cloud cost challenges with precision. By leveraging AWS Cost Explorer, we identified optimization opportunities, right-sized EC2 instances, and implemented S3 lifecycle policies to streamline storage. We modernized their infrastructure, migrating to containerized applications and setting up a CI/CD pipeline with Jenkins. To ensure reliability, we established comprehensive monitoring and automated alerting using CloudWatch. The result was a scalable, cost-efficient, and robust cloud solution tailored to the client’s needs, enhancing performance and system reliability.
Cloud optimization reduced monthly costs, increasing profitability.
Auto-scaling groups ensured stability during peak traffic.
Optimized configurations improved performance and data access.
CI/CD pipeline reduced deployment time from 2 hours to 15 minutes.
Working with Softude has allowed us to not only reduce costs but also achieve significant improvements in system performance and scalability. Their ongoing support throughout the entire process has been exceptional, and we now feel more confident in managing our infrastructure as we continue to scale and grow.
Smart Dustbin Solution resolved waste overflow and high costs with real-time bin monitoring, optimized routes, and proactive maintenance.
A retail chain achieved 4x revenue growth by using data science to optimize sales and expand strategically.
Optimize outlet performance and expansion by developing a data-driven app to assess the impact of online ordering and identify ideal locations.
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