Plan, build, migrate, upgrade, staff, and operate critical technology. We deliver ETL and data integration, data architecture, cross-platform migrations, managed projects, flexible IT staffing, and 24×7 database support.
Use one service independently or combine them into a fully managed transformation program with accountable delivery from discovery through handoff.
Design, build, and improve repeatable pipelines that extract, cleanse, transform, and load data across applications, databases, warehouses, and cloud platforms.
Move data between different engines, clouds, and architectures with source profiling, schema and data-type mapping, transformation, reconciliation, rehearsals, and controlled cutover.
Create practical conceptual, logical, and physical data models, schemas, integration patterns, retention rules, and governance standards built for performance and maintainability.
Plan and execute version upgrades, engine changes, cloud moves, and platform modernization with compatibility analysis, test rehearsals, rollback planning, and post-change validation.
Scale with vetted talent across data, database, cloud, applications, infrastructure, DevOps, cybersecurity, QA, project management, and technical leadership.
Assign an outcome to a coordinated ILOGICSOFT team. We manage scope, specialists, delivery cadence, risk, status reporting, documentation, and operational handoff.
Engage ILOGICSOFT for a scoped project, ongoing managed service, or flexible staffing matched to your delivery model.
When an engagement identifies gaps in backup visibility, restore testing, audit evidence, or multi-database operations, DBAegis provides a self-hosted platform for putting a consistent recovery process into daily use.
Start with a focused database engagement, or combine it with our data engineering, staffing, migration, and managed delivery capabilities.
2–3 weeks. Measure current spend, find waste, and quantify savings with a prioritized roadmap.
4–8 weeks. Right-sizing, query/index tuning, storage optimizations, HA/DR efficiency improvements.
Contracted incident triage, proactive health checks, tuning, maintenance planning, and cost control for critical database environments.
Extend your team with experienced database engineers, proactive operations, and agreed incident-response targets.
Executive-ready outputs plus hands-on engineering support to turn recommendations into real savings.
Breakdown of compute, storage, I/O, replication, and workload drivers — what's costing and why.
Quick wins + long-term improvements with impact, effort, validation steps, and rollback plan.
Apply fixes safely and prevent regressions with dashboards, alerts, and runbooks.
Relational, NoSQL, and cloud data platforms — tuned for cost and reliability.
Oracle, PostgreSQL, MySQL, SQL Server — tuning, HA/DR, upgrades, modernization.
Snowflake, BigQuery, Redshift, Aurora/RDS — scaling strategy and spend guardrails.
MongoDB, Cassandra, Couchbase, Redis, Neo4j — distributed tuning, modeling, reliability.
We plan data mappings, transformations, rehearsals, validation, cutover, and rollback for database upgrades, cloud moves, and platform changes.
A governed delivery process for migration, integration, modernization, staffing, and managed-services work.
Define the outcome, current environment, dependencies, constraints, risks, and success measures.
Create the architecture, data mappings, delivery plan, staffing model, controls, and rollback path.
Develop pipelines, prepare platforms, perform conversions, or assemble the specialists needed to deliver.
Rehearse, reconcile data, test performance and operations, resolve gaps, and confirm readiness.
Execute cutover, stabilize operations, document the solution, transfer knowledge, and provide ongoing support.
