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Department 10: Database, Data Engineering & Analytics Infrastructure

MySQL & MariaDB Management

High-availability MySQL and MariaDB clusters with automated failover and InnoDB buffer tuning.

Service Scope Definition: Configure and maintain MySQL or MariaDB databases used by applications and websites. Services can include performance tuning, backups, security, upgrades, and troubleshooting.
Configure in Scope Estimator

Common Challenges & Technical Drivers

  • Database query latency spikes and CPU lockups degrading user experience.
  • Unmanaged database connection spikes exhausting server capacity during traffic surges.
  • Lack of point-in-time recovery testing creating catastrophic data loss exposure.
  • Difficulty scaling vector embeddings and analytics queries alongside transactional writes.

What Is Included (In-Scope Deliverables)

  • Production multi-AZ database cluster architecture and provisioning with automated failover.
  • Database connection pooling (PgBouncer / RDS Proxy) and query cache optimization.
  • Automated continuous backup snapshot schedules with point-in-time recovery verification.
  • Schema indexing analysis and slow query log profiling to resolve I/O bottlenecks.

Scope Boundaries & Transparent Exclusions

  • Third-party cloud database instance and storage volume consumption charges.
  • Custom proprietary business algorithm authoring unrelated to data pipeline execution.
  • Manual ongoing data entry or customer record hygiene.
  • Recovering unbacked databases corrupted prior to our engagement.

Tangible Engineering Deliverables

  • Terraform modules for multi-AZ database clusters, parameter groups, and backup policies.
  • Query performance profiling report identifying slow queries, missing indexes, and scan patterns.
  • Disaster recovery runbook detailing point-in-time restore and cross-region replication.
  • Connection pooler configuration and database monitoring telemetry dashboards.
Interactive Workload Sizing

Configure Scope Parameters

Production Growth • 3–4 Weeks

Select your target cloud environment and operational scale to view projected engineering capacity and sprint milestones.

Recommended Engineering Squad: 1 Principal Architect + 1 Senior Engineer
Infrastructure as Code

Production Architecture Specification

Enterprise baseline declaration module deployed as part of this service scope. Fully auditable, zero-lockin, turnkey source code.

aurora-pgvector.tf • Terraform (HCL) Verified Syntax
resource "aws_rds_cluster" "aurora_postgres" {
  cluster_identifier      = "aurora-pg-production"
  engine                  = "aurora-postgresql"
  engine_version          = "16.2"
  database_name           = "production_core"
  manage_master_user_password = true

  backup_retention_period = 35
  preferred_backup_window = "02:00-03:00"
  storage_encrypted       = true
  deletion_protection     = true
}

Sprint Delivery Roadmap & Phased Milestones

PHASE 01 • DAYS 1-5

Discovery & Threat Audit

Boundary mapping, IAM credential audit, and baseline architecture assessment.

PHASE 02 • DAYS 6-14

IaC Build & Configuration

Modular infrastructure as code provisioning with automated policy enforcement.

PHASE 03 • DAYS 15-22

Validation & Dry-Runs

Automated test suites, simulated load benchmarks, and failover verification.

PHASE 04 • DAYS 23-30

Handover & Acceptance

Recorded engineering walk-through, runbook sign-off, and warranty support.

Frequently Asked Questions

We provision read replicas, synchronize state via logical replication, execute schema migrations, and promote the replica to master with automated DNS failover.

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