Always-on incident support, proactive maintenance, cost optimization, performance engineering, and modernization across major relational and NoSQL platforms.
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.
Choose a package or combine services based on your workload and goals.
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.
Common areas where we consistently deliver savings, performance, and operational confidence.
Right-size compute, reduce idle usage, optimize retention, and control storage growth.
Slow query triage, indexing strategy, caching, partitioning/sharding, and data modeling.
Backups, restore tests, failover drills, replication strategy, and incident prevention.
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 and execute upgrades, cloud migrations, and architecture improvements with minimal downtime.
A low-risk process designed for speed, confidence, and measurable outcomes.
Workload + cost baseline, constraints, success criteria, access planning.
Query/index review, sizing, storage/replication, platform-specific drivers.
Low-risk changes that reduce spend fast (right-sizing, idle cleanup, tuning).
Apply prioritized fixes with validation, rollback plans, and performance tests.
Dashboards + alerts + runbooks to keep costs stable as usage grows.