Client Success Stories

Discover how we help forward-thinking companies overcome technical challenges and drive exponential growth.

Social Media

Modernization of EC2 based deployments via containerization and AWS ECS/EKS

Enabling zero downtime deployments by containerizing legacy workloads for a hyper-growth social media startup.

The Challenge

High downtime during deployments and rigid EC2-based infrastructure hindering rapid product iteration.

The Result

Zero downtime deployments and 10x faster infrastructure provisioning.

FinTech

Fully automated CI/CD Pipelines using GitHub Enterprise inside private cloud

Implemented fully automated, highly secure CI/CD pipelines using GitHub Enterprise in an isolated private cloud environment for a Series A FinTech.

The Challenge

Manual, error-prone deployment processes slowing down release cycles while struggling to meet strict financial compliance.

The Result

10x faster deployments with fully automated, compliant, and auditable CI/CD pipelines.

ECommerce

Production grade network security setup in AWS

Architected a robust AWS network security posture including custom load balancer routing and specialized WAF rules for an ECommerce platform.

The Challenge

Increasing vulnerability to web exploits, DDoS attacks, and lack of granular routing control across their microservices.

The Result

Enterprise-grade security posture with custom WAF rules blocking 99.9% of malicious bot traffic.

FinTech

Custom JIRA cloud integration with CI pipelines

Streamlined the software delivery lifecycle by directly integrating JIRA Cloud with automated CI/CD pipelines, enabling one-click approvals.

The Challenge

Complete disconnect between project management and deployment, leading to delays, missed documentation, and miscommunication.

The Result

Seamless one-click approval workflows directly from JIRA, reducing release management overhead by 80%.

SaaS

AI powered FinOps platform integrated with multi-cloud

Architected the backend and integration layer for an AI-powered FinOps platform interacting spanning AWS, Azure, GCP, and DigitalOcean.

The Challenge

Inability to standardize complex billing and resource utilization data across wildly different cloud providers.

The Result

Platform now processes millions of data points daily, generating $1M+ in annual savings recommendations for end-users.

Social Media

Influencer networking platform with 10K+ active users

Designed and implemented the backend infrastructure capable of handling high-velocity engagement metrics for a fast-growing influencer mobile app.

The Challenge

Mobile app backend crashing frequently due to heavy read/write loads from real-time messaging and follower graph queries.

The Result

Seamlessly supported a viral launch exceeding 10K+ active users without a single incident of downtime.

FinTech

On-prem Kubernetes Cluster setup on top of Bare Metal Servers

Architected and deployed a highly available, production-grade Kubernetes cluster entirely on on-premise bare-metal servers for strict financial compliance.

The Challenge

Strict legal and compliance requirements prohibited hosting proprietary high-frequency trading algorithms on public cloud infrastructure.

The Result

Delivered a highly compliant, ultra-performant, private Kubernetes cluster running on bare metal, achieving <1ms internal latency.

ECommerce

Migrate 40+ production VMs from Azure to GCP with minimal downtime

Executed a complex, cross-cloud migration of a legacy ECommerce platform from Azure VMs to Google Cloud Platform, achieving under 2 hours of total downtime.

The Challenge

Vendor lock-in on Microsoft Azure, escalating enterprise compute costs, and a desire to leverage Google's superior data analytics tools.

The Result

Successfully migrated 40+ production Virtual Machines with minimal disruption, reducing monthly infrastructure spend by 35%.

ECommerce

MongoDB data storage optimization reducing slow queries to <100ms

Diagnosed and completely overhauled a struggling MongoDB database cluster, reducing critical path query times from over 2 minutes to under 100 milliseconds.

The Challenge

Severe application lag and frequent crashes during peak traffic due to unoptimized, complex MongoDB aggregations taking 120+ seconds to execute.

The Result

1200x query performance improvement, massive reduction in database CPU load, and restored platform stability.