See how we've helped companies achieve breakthrough database performance, zero-downtime migrations, and enterprise-grade high availability.
A fast-growing B2B SaaS platform was struggling with degrading database performance as their user base scaled from 10K to 80K+ active users. Average query response times had climbed to 2.4 seconds, causing customer complaints and churn.
Slow complex queries, inefficient indexing, connection pool exhaustion during peak hours, and growing table sizes causing full table scans.
Query optimization audit, composite index restructuring, connection pooling with PgBouncer, query plan analysis, and materialized views for reporting.
3-week engagement: 1 week analysis, 1 week implementation, 1 week monitoring & tuning.
PostgreSQL 15 on AWS RDS, 500GB dataset, 80K+ active users, 2M+ daily transactions.
An enterprise financial services company needed to migrate their mission-critical 4TB Oracle database from on-premises infrastructure to AWS. The system processed $2M+ in daily transactions and could tolerate zero downtime during the migration.
4TB production Oracle database, zero-downtime requirement, complex PL/SQL procedures, regulatory compliance (SOC2), and legacy data dependencies.
Phased migration using Oracle Data Guard for real-time replication, AWS DMS for incremental sync, extensive pre-migration testing, and automated rollback procedures.
8-week engagement: 2 weeks planning, 3 weeks migration setup & testing, 2 weeks parallel run, 1 week cutover & validation.
Oracle 19c → AWS RDS Oracle, 4TB dataset, Data Guard + DMS, 500+ stored procedures migrated.
A fintech company processing critical financial transactions needed to upgrade from a single-instance database to an enterprise-grade high-availability architecture. They were experiencing periodic outages causing compliance risks and revenue loss.
Single point of failure, no automated failover, 45-minute average recovery time, regulatory requirements for 99.99% uptime SLA.
Oracle RAC deployment across 2 availability zones, Active Data Guard for disaster recovery, automated failover with observer, and comprehensive monitoring.
6-week engagement: 1 week assessment, 3 weeks RAC & Data Guard setup, 1 week failover testing, 1 week go-live support.
Oracle RAC 19c, Active Data Guard, 2 availability zones, 1.5TB dataset, 10K+ transactions/minute.
A healthcare SaaS provider storing patient records in MySQL was flagged during an audit for multiple security gaps. They needed to achieve full HIPAA compliance within 60 days to avoid penalties and retain their largest client contracts.
Unencrypted data at rest, overly permissive user privileges, no audit logging, missing TLS for client connections, and no intrusion detection.
Implemented TDE for encryption at rest, enforced TLS 1.3 for all connections, role-based access control overhaul, MySQL Enterprise Audit plugin, and real-time alerting.
5-week engagement: 1 week vulnerability assessment, 2 weeks hardening implementation, 1 week testing, 1 week documentation & training.
MySQL 8.0 Enterprise, 800GB dataset, 3 production servers, 12 microservices connecting.
A major e-commerce platform experienced catastrophic database failures during Black Friday sales — their PostgreSQL cluster couldn't handle the 10x traffic spike. They needed a scalable architecture before the next major sale event.
Database crashes at 10x normal traffic, connection limit exhaustion, lock contention on inventory tables, and slow checkout queries under load.
Read replica deployment with load balancing, connection pooling via PgBouncer, table partitioning for orders/inventory, query optimization, and Redis caching layer for catalog data.
4-week engagement: 1 week load testing & analysis, 2 weeks architecture redesign & implementation, 1 week stress testing.
PostgreSQL 16 on AWS Aurora, 1.2TB dataset, 3 read replicas, 50M+ products, PgBouncer + Redis.
An EdTech company serving 500K+ students lost 6 hours of exam data due to a datacenter outage. They had no disaster recovery plan, and the incident triggered regulatory scrutiny. They needed a bulletproof DR strategy immediately.
No DR plan, single-region deployment, 6+ hour RPO, manual backup process, no automated testing, and compliance risk from data loss.
Cross-region standby with synchronous replication, automated backup to S3 with point-in-time recovery, DR runbook creation, and quarterly failover drill automation.
6-week engagement: 1 week assessment, 2 weeks standby setup, 1 week backup redesign, 1 week DR testing, 1 week documentation.
MySQL 8.0 on Azure, 600GB dataset, cross-region replication, automated S3 backups every 15 min.
A global logistics company had accumulated 12 separate database instances across 3 cloud providers and on-prem — Oracle, MySQL, PostgreSQL, and SQL Server — with no unified monitoring or management. Operational costs were spiraling and data silos prevented analytics.
12 databases across AWS, Azure, and on-prem, 4 different engines, no centralized monitoring, data silos, and $45K/month infrastructure costs.
Database consolidation strategy, migrated to 3 optimized clusters (PostgreSQL + Oracle), unified monitoring with Grafana/Prometheus, and centralized backup management.
12-week engagement: 3 weeks audit & planning, 6 weeks phased migration & consolidation, 2 weeks testing, 1 week go-live.
Multi-engine (Oracle, MySQL, PostgreSQL, SQL Server) → consolidated PostgreSQL 16 + Oracle 19c on AWS & Azure.
A digital payments fintech processing 2M+ transactions daily was losing $800K/year to fraudulent transactions. Their batch-based fraud checks ran every 4 hours, allowing fraudsters to exploit the detection gap. They needed real-time, sub-second fraud scoring on Oracle.
4-hour fraud detection delay, $800K/year in fraud losses, batch PL/SQL jobs consuming excessive resources, no real-time alerting, and growing transaction volumes.
Redesigned Oracle Advanced Queuing for real-time event streaming, implemented Oracle Continuous Query Notification, optimized PL/SQL scoring engine with bulk operations, and deployed Oracle Partitioning for historical analysis.
8-week engagement: 2 weeks analysis & design, 3 weeks implementation, 2 weeks testing with live traffic shadow, 1 week go-live.
Oracle 19c Enterprise, Oracle Advanced Queuing, Partitioning, 6TB dataset, 2M+ daily transactions.
A P2P lending fintech on MySQL had hit the ceiling — their single 2TB database was maxing out at 5K TPS and loan disbursement queries took 8+ seconds during peak hours. They needed to scale horizontally without rewriting their entire application layer.
Single monolithic 2TB MySQL DB, 5K TPS ceiling, 8-second loan queries at peak, write contention on ledger tables, and application couldn't tolerate downtime.
Implemented Vitess-based horizontal sharding by tenant ID, ProxySQL for intelligent query routing, online schema changes with gh-ost, and read/write splitting across replicas.
10-week engagement: 2 weeks architecture design, 4 weeks Vitess setup & shard migration, 2 weeks application routing, 2 weeks load testing.
MySQL 8.0 → Vitess-sharded (4 shards), ProxySQL, gh-ost, 2TB → distributed, 25K+ TPS capacity.
An algorithmic trading fintech running on SQL Server was losing competitive edge due to 45ms average trade execution latency. In high-frequency trading, every millisecond costs money — their competitors were executing at sub-10ms. They needed radical SQL Server performance engineering.
45ms trade execution latency, tempdb contention, lock escalation on order book tables, inefficient nonclustered indexes, and OLTP/analytics workload collision.
Migrated hot tables to In-Memory OLTP (Hekaton), implemented natively compiled stored procedures, separated OLTP/analytics with readable secondary on Always On AG, and optimized tempdb with multiple data files.
6-week engagement: 1 week profiling with Extended Events, 2 weeks In-Memory migration, 1 week AG setup, 2 weeks performance validation.
SQL Server 2022 Enterprise, In-Memory OLTP, Always On AG, 3-node cluster, 800GB dataset, 50K orders/second.
A major telecom operator's Oracle-based billing system was struggling to process monthly bill runs for 30M+ subscribers. Bill generation was taking 72+ hours, missing SLA windows and delaying revenue recognition. The 8TB billing database had grown organically with years of unoptimized schema evolution.
72-hour bill run cycles, 8TB fragmented billing database, 30M+ subscriber records, table bloat from 10 years of data, and full table scans on rating tables.
Implemented Oracle Partitioning by billing cycle and region, parallel DML for bill generation, materialized views for CDR aggregation, Oracle Compression for historical data, and AWR-guided index optimization.
10-week engagement: 2 weeks AWR analysis & design, 4 weeks partitioning & optimization, 2 weeks parallel testing, 2 weeks production rollout.
Oracle 19c RAC, 8TB → 3.2TB (compressed), Oracle Partitioning, Parallel DML, 30M+ subscriber billing.
A 5G telecom operator needed real-time visibility into network performance across 15,000+ cell towers. Their existing SQL Server reporting DB took 20+ minutes to generate network health reports, making it impossible to respond to outages quickly. They needed sub-minute analytics on billions of CDR records.
20-minute report generation, 12TB of CDR data, 500M+ records/day ingestion, no real-time dashboards, and existing columnstore indexes only covering 30% of queries.
Deployed SQL Server 2022 with clustered columnstore indexes on all fact tables, created real-time operational analytics with nonclustered columnstore, implemented partitioned views for time-series data, and optimized ingestion pipeline with batch inserts.
8-week engagement: 2 weeks data modeling, 3 weeks columnstore implementation & ETL redesign, 2 weeks dashboard integration, 1 week production deployment.
SQL Server 2022 Enterprise, Columnstore Indexes, 12TB CDR data, 15K+ cell towers, 500M records/day.
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