SQL Server High Availability & Recovery
Hands-on administration and recovery work across SQL Server, Windows failover clustering, AlwaysOn, performance and business continuity.
Role
Technology / database operations lead
Technology
Context
Production database reliability requires more than writing SQL. This case focuses on diagnosis, recovery and operational decision-making in high-availability environments.
Challenge
Restore and maintain reliable database services when failures span database, Windows clustering and application dependencies.
Approach
Analyzed availability-group and cluster health instead of treating symptoms at only one layer.
Worked with synchronization state, failover behavior, database health and performance diagnostics.
Read execution plans and analyzed logical reads, blocking, indexes and statistics to optimize ERP-scale workloads.
Designed and validated backup and restore strategies as part of the recovery model, not an afterthought.
Combined recovery decisions with business-continuity considerations.
Key insight
I don't treat the database as a black box behind an ORM. I work directly with SQL Server execution behavior, indexing, statistics, transactions, high availability and recovery — and that shapes how I design APIs, jobs and integrations.
What this demonstrates
Shows practical reliability engineering and production troubleshooting in enterprise data platforms.