Database Administration in IT Operations Management

This curriculum spans the full lifecycle of database administration in enterprise IT operations, equivalent in scope to a multi-workshop program that integrates technical configuration, policy enforcement, and cross-functional coordination seen in internal capability-building initiatives for production database environments.

Module 1: Database Infrastructure Planning and Sizing

• Selecting appropriate storage subsystems (SSD vs. HDD, SAN vs. local) based on IOPS requirements and cost constraints for OLTP workloads.
• Estimating memory allocation for buffer pools and shared memory pools based on concurrent user load and dataset size.
• Determining CPU core allocation for virtualized database instances considering licensing costs and performance isolation.
• Designing instance topology (single vs. multi-tenant) in shared environments to balance resource utilization and security boundaries.
• Planning for growth by projecting database size increases over 12–24 months and allocating storage with headroom.
• Integrating database provisioning into infrastructure-as-code workflows using Terraform or Ansible for repeatable deployments.
• Assessing network bandwidth requirements between application tiers and database servers to avoid latency bottlenecks.
• Choosing between on-premises, cloud-managed, or hybrid deployments based on compliance, performance, and operational control needs.

Module 2: Installation, Configuration, and Patch Management

• Standardizing database initialization parameters (e.g., block size, logging mode) across environments using configuration templates.
• Implementing automated patching schedules for database software while minimizing downtime for critical systems.
• Validating compatibility of database patches with existing application versions before deployment.
• Configuring listener and connection pooling settings to optimize session handling under peak load.
• Enforcing secure defaults during installation, including disabling sample schemas and changing default passwords.
• Managing version skew across development, test, and production environments to reduce deployment risk.
• Documenting configuration baselines and drift detection procedures for audit compliance.
• Integrating configuration changes into change control systems with rollback plans for failed updates.

Module 3: Backup, Recovery, and Disaster Preparedness

• Designing backup retention policies that align with RPO (Recovery Point Objective) and legal data retention requirements.
• Implementing full, incremental, and log-based backups using native tools or third-party solutions with verification routines.
• Testing point-in-time recovery procedures quarterly to validate RTO (Recovery Time Objective) targets.
• Storing offsite or cloud backups with encryption and access controls to prevent data exposure.
• Coordinating backup schedules with application teams to minimize performance impact during business hours.
• Documenting recovery runbooks with role assignments and escalation paths for crisis scenarios.
• Validating backup integrity through automated checksums and periodic restore drills.
• Integrating database recovery into broader IT disaster recovery (DR) testing cycles with cross-team participation.

Module 4: Performance Monitoring and Tuning

• Deploying monitoring agents to collect wait events, lock contention, and query execution statistics in real time.
• Identifying long-running queries using execution plan analysis and historical performance data.
• Adjusting indexing strategies based on query patterns and write load to balance read performance and insert/update overhead.
• Configuring alert thresholds for CPU, memory, and I/O utilization to trigger proactive investigation.
• Using AWR (Automatic Workload Repository) or equivalent reports to diagnose performance regressions after deployments.
• Managing resource contention in shared instances by implementing resource governor or resource manager policies.
• Correlating database performance metrics with application transaction traces to isolate bottlenecks.
• Documenting tuning actions and their impact to build institutional knowledge and prevent regression.

Module 5: Security, Access Control, and Compliance

• Implementing role-based access control (RBAC) with least-privilege principles for database accounts.
• Enforcing encryption of data at rest using TDE (Transparent Data Encryption) or filesystem-level encryption.
• Configuring audit trails to log sensitive operations (e.g., schema changes, data exports) for compliance reporting.
• Rotating service account credentials and managing secrets using enterprise vault solutions.
• Validating adherence to regulatory standards (e.g., GDPR, HIPAA) through periodic access reviews and audit logs.
• Disabling or removing unused database accounts and roles to reduce attack surface.
• Implementing network-level controls (firewalls, VPCs) to restrict database access to authorized subnets only.
• Conducting vulnerability scans and applying security hardening benchmarks (e.g., CIS) to database configurations.

Module 6: High Availability and Scalability Architectures

• Designing failover clusters with shared storage or replication to meet high availability SLAs.
• Implementing log shipping, mirroring, or Always On Availability Groups based on RPO and RTO requirements.
• Configuring read replicas to offload reporting queries from primary transactional databases.
• Evaluating sharding strategies for horizontally scaling large datasets across multiple instances.
• Testing failover procedures regularly to ensure automatic switchover works without data loss.
• Monitoring replication lag in distributed systems and tuning network or transaction batch sizes.
• Assessing the operational complexity of multi-region deployments versus availability benefits.
• Integrating HA monitoring into centralized alerting systems with clear ownership and response protocols.

Module 7: Change Management and Schema Evolution

• Using version-controlled schema migration scripts to manage DDL changes across environments.
• Planning downtime windows for schema modifications that require table locks or reorganization.
• Validating backward compatibility of schema changes with existing application code before deployment.
• Managing dependencies between microservices sharing a database during coordinated releases.
• Using online redefinition or zero-downtime techniques for large table alterations in production.
• Rolling back failed schema changes using pre-tested revert scripts within defined recovery windows.
• Coordinating change approvals through CAB (Change Advisory Board) for high-risk modifications.
• Documenting schema version lineage to support troubleshooting and audit requirements.

Module 8: Capacity Planning and Cost Optimization

• Forecasting query growth and data volume trends to plan hardware or cloud resource upgrades.
• Right-sizing cloud database instances based on utilization metrics to avoid overprovisioning.
• Identifying and archiving stale data to reduce storage costs and improve query performance.
• Implementing compression for large tables and indexes where CPU overhead is acceptable.
• Tracking licensing costs for proprietary database software across physical and virtual environments.
• Using query plan analysis to eliminate inefficient operations that consume excessive resources.
• Consolidating underutilized database instances to improve efficiency and reduce management overhead.
• Reporting capacity utilization and cost trends to IT leadership for budget planning.

Module 9: Operational Governance and Documentation

• Maintaining an up-to-date data dictionary with column definitions, constraints, and ownership.
• Establishing naming conventions for databases, tables, indexes, and users to ensure consistency.
• Documenting runbooks for common operational tasks (e.g., backup verification, failover execution).
• Enforcing peer review of high-impact database operations before execution.
• Creating service-level agreements (SLAs) for database availability, performance, and support response times.
• Conducting post-incident reviews (PIRs) after database outages to identify root causes and prevent recurrence.
• Integrating database operations into ITIL-aligned processes for incident, problem, and change management.
• Archiving and retaining operational logs and configuration records for audit and forensic analysis.