Explore our five operational service pillars. Every engagement includes defined acceptance criteria, change-management runbooks, and enterprise documentation.
Design and implementation of a resilient two-node failover cluster baseline with automatic failover, health quorum routing, and disaster recovery preparedness.
Add an asynchronous secondary replica across a separate geographical region or cloud AZ with automated routing and witness quorum validation.
Complete cross-version or cross-platform data migration utilizing continuous replication with near-zero cutover windows and rollback safety.
End-to-end upgrade of legacy database engines to current supported enterprise releases with pre-migration compatibility audits and staging validation.
Wait stats root-cause analysis, missing/duplicate index remediation, deadlock clearance, TempDB structural tuning, and PostgreSQL VACUUM bloat elimination.
Deep inspection of top resource-consuming execution plans, parameter sniffing remediation, filtered/covering index design, and statistics maintenance.
Eliminate concurrency bottlenecks, transaction blocking chains, latch contention, and deadlock graphs with RCSI configuration and lock granularity refactoring.
Isolate PFS/GAM allocation contention, configure equal-sized multi-file TempDB on striped NVMe storage, and optimize memory grant allocations for SQL Server.
Configure scale factors, cost limits, work_mem, and maintenance_work_mem to prevent transaction ID wraparound and eliminate table/index bloat.
Native engine backup architecture for standalone and cluster topologies. Includes daily full backups, hourly log retention, and monthly restore testing.
Integration of direct-to-cloud or secondary tier backup pipelines with WORM immutability, KMS encryption, and ransomware air-gap isolation.
Automated sandbox restoration of backups followed by complete DBCC CHECKDB / pg_checksums verification to mathematically certify data recoverability.
Linear 1-to-1 mappings, basic cleansing, SCD Type 1, memory-optimized table dumps, and automated production-to-archive table data movement.
Multi-source aggregations, slowly changing dimensions (SCD Type 2), delta tracking with watermarks, and automated error quarantine pipelines.
High-throughput CDC streaming pipelines, micro-batching transformations, near-real-time warehouse sync, and schema drift handling.
40-hour engineering pool for complex stored procedure authoring, schema refactoring, index redesign, and database code reviews.
Advanced table partitioning, temporal table implementation, high-concurrency stored procedure redesign, and data model refactoring.
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