We help teams design, optimize, modernize, and run database platforms across cloud and hybrid environments with a focus on measurable savings, performance, and reliability.
ILOGICSOFT is a database-first practice combining deep hands-on engineering with structured consulting deliverables.
We deliver an executive roadmap, then implement improvements safely with validation and rollback plans.
We focus on the work that moves the needle: spend reduction, stability, and speed.
Baseline spend, identify drivers (compute/storage/replication), and implement changes that reduce waste without risk.
Faster queries via indexing strategy, query tuning, caching, partitioning/sharding, and better workload isolation.
Strengthen backup/restore, failover patterns, replication strategy, and runbooks to prevent incidents.
ILOGICSOFT created DBAegis to help teams operationalize the lessons behind reliable database recovery: consistent workflows, clear evidence, safer restore practices, and visibility across different database engines.
Modernization, upgrades, tuning, HA/DR design, and cloud migration planning.
Distributed tuning, data modeling, compaction strategy, sharding, and reliability improvements.
Spend control, workload separation, and governance guardrails for predictable performance.
Examples of results delivered across enterprise database platforms.
Stabilized mission-critical Oracle environments and reduced infrastructure spend while improving query response times.
Improved scalability and reduced cloud costs for high-traffic MongoDB applications. Reduced query latency by 35%.
Reduced warehouse compute cost by 35% and improved dashboard performance by 40% through sizing and clustering.
Tuned large Cassandra clusters for predictable performance. Reduced storage usage by 30%.
Reduced memory footprint by 20%, improved cache hit ratio, and prevented eviction storms.
Reduced graph query times by 45%, lowered infrastructure cost, and improved cluster uptime significantly.
A simple model that works for startups to enterprises — fast start, clear deliverables, safe implementation.
Baseline cost + workload, success criteria, access planning.
Query/index review, sizing, storage/replication, platform drivers.
Low-risk changes that reduce spend fast and improve response times.
Apply prioritized fixes with validation and rollback planning.
Dashboards + alerts + runbooks to prevent regressions.
We can start with a short assessment and deliver a savings plan quickly.