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 additional replica node to an existing HA/DR cluster — scaling within the same data center or extending to a separate geographic region for disaster recovery.
Production-grade installation, configuration, and security hardening of a single SQL Server instance following vendor and enterprise best practices.
Simultaneous deployment and hardening of two SQL Server nodes as a matched pair for a new HA cluster build, coordinated and bundled as a single engagement.
Deployment and hardening of each additional SQL Server node beyond the initial two-node baseline — for scaling out read replicas or additional cluster members.
Root-cause analysis of wait stats and blocking chains, missing/duplicate index remediation, deadlock resolution, query plan tuning, structural TempDB optimization, and — for PostgreSQL — VACUUM/autovacuum bloat elimination.
Complete cross-version or cross-platform data migration utilizing continuous replication with near-zero cutover windows, including initial clustering infrastructure pre-configuration.
Native engine backup architecture for standalone and AG-clustered SQL Server and PostgreSQL environments. Includes daily full backups, hourly log retention, and monthly restore testing.
Secure connection and pipeline configuration to a primary external storage destination — S3-compatible object storage or SFTP — with WORM immutability and air-gap isolation.
Configuration of a second, geographically or logically separate storage destination as a redundant replication target for backup sets, hardening recovery posture.
Up to two source systems, linear 1-to-1 mappings, SCD Type 1, and initial cleansing — for example, dumping memory-optimized tables to disk for archive.
Support for up to five source systems, logical joins across datasets, aggregation operations, and a baseline logging table for error tracking and pipeline auditability.
Deep dimensional data processing with full SCD Type 2/3 history tracking, advanced retry-and-recovery logic, and comprehensive error handling for complex pipelines.
40-hour engineering pool for complex stored procedure authoring, schema refactoring, index redesign, and database code reviews.
Business-hours (8×5) monitoring and operational support, with a monthly allocation of up to 16 engineering hours for maintenance, minor fixes, and health checks.
Around-the-clock (24×7) critical-incident response, with a monthly allocation of up to 32 engineering hours for proactive maintenance and rapid remediation.
Comprehensive 24×7 coverage across critical and non-critical incidents, with a monthly allocation of up to 64 engineering hours for continuous operational ownership.
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