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🎯 The Enterprise Challenge

Simplify VMS, an enterprise data platform startup, needed a mission-critical real-time streaming infrastructure to process billions of database events daily. They required automated change data capture from heterogeneous databases, real-time transformation pipelines, ML-ready data lakes, and enterprise-grade compliance—all with zero downtime tolerance and strict regulatory requirements for financial services clients.

- ⚡ How Our Forward-Deployed Engineers Helped
Mission-Critical Partnership:
Our FDEs embedded with Simplify's core engineering team for 4 months, taking ownership of the entire streaming infrastructure, attending critical architectural reviews, and ensuring 99.9% uptime requirements.
Enterprise-Grade Architecture:
Designed fault-tolerant, scalable streaming architecture using Apache Kafka, Kubernetes, and cloud-native patterns specifically optimized for financial services compliance and data integrity requirements.
Real-Time Problem Solving:
Implemented automated monitoring, alerting, and self-healing capabilities with comprehensive observability stack, enabling proactive issue resolution and maintaining enterprise SLAs.
+ 🛠️ What We Built
Real-Time Streaming Infrastructure:
Apache Kafka cluster processing 1B+ events daily, with Kafka Connect for automated CDC from PostgreSQL, MongoDB, and MySQL databases.
Data Lake Architecture:
AWS S3-based data lake with automated partitioning, compression, and lifecycle management. Delta Lake for ACID transactions and time travel capabilities.
ML-Ready Data Pipeline:
Apache Spark streaming jobs for real-time transformations, feature engineering, and automated schema evolution with comprehensive data quality checks.
Enterprise Search Platform:
Elasticsearch cluster with custom ranking algorithms, advanced filtering, and sub-second query response times across billions of records.
+ 💻 Technology Stack
Streaming & Processing:
Apache Kafka, Kafka Connect, Apache Spark Streaming, Apache Flink for complex event processing
Storage & Analytics:
AWS S3, Delta Lake, Apache Parquet, Elasticsearch, Amazon Redshift for data warehousing
Infrastructure:
Kubernetes on AWS EKS, Terraform for IaC, Prometheus + Grafana for monitoring, HashiCorp Vault for secrets
Data Quality & Governance:
Great Expectations for data validation, Apache Atlas for data lineage, comprehensive audit logging and compliance reporting
+ 📈 Measurable Business Outcomes
1B+ Events Processed Daily:
Achieved enterprise-scale data processing with consistent sub-second latency and zero data loss, supporting critical financial services operations.
99.9% Uptime SLA:
Exceeded enterprise reliability requirements with automated failover, self-healing infrastructure, and comprehensive disaster recovery capabilities.
100% Compliance Standards:
Met all SOC 2, GDPR, and financial services regulatory requirements with comprehensive audit trails and data governance frameworks.
80% Cost Reduction:
Optimized infrastructure costs through automated scaling, efficient data compression, and intelligent resource management compared to legacy solutions.
+ 💬 Testimonial
"Rupantar's Forward-Deployed Engineers didn't just deliver a data platform—they architected our entire data strategy. Their expertise in real-time streaming and enterprise-grade systems gave us the foundation to scale from startup to serving Fortune 500 clients. The 99.9% uptime and billion-event processing capacity they delivered became our key competitive advantage in winning enterprise contracts."

Partnership Impact:

  • Duration: 4-month intensive mission-critical infrastructure build
  • Team Integration: Embedded with core engineering team, critical architecture ownership
  • Delivery Model: Enterprise-grade reliability with startup-speed iteration
  • Post-Launch: Ongoing advisory for scaling to Fortune 500 enterprise clients
Enterprise Data Streaming Platform

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E-mail:
admin@rupantar.tech
itmvikastiwari@gmail.com