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Course Outline

Distributed SQL Sovereignty

  • Challenges with global SQL confined to closed platforms: Spanner, Aurora Global.
  • CockroachDB architecture: Raft ranges, leaseholders, and MVCC.
  • Achieving horizontal scaling without shared storage dependencies.

Cluster Deployment

  • Configuring single-region and multi-region topologies using Docker Compose.
  • Deploying via Kubernetes StatefulSets with persistent volumes.
  • Best practices for security certificates and node initialization.

SQL Compatibility and Query Tuning

  • Supported SQL features and limitations compared to PostgreSQL.
  • Utilizing the cost-based optimizer and interpreting execution plans.
  • Implementing indexes, composite keys, and inverted indexes for JSON and arrays.

Multi-Region Configuration

  • Defining region and locality settings to manage data placement.
  • Strategies for follow-the-workload, regional tables, and survival goals.
  • Managing leaseholder placement and topology-aware routing.

Backup, Restore, and Disaster Recovery (DR)

  • Performing full cluster backups to cloud storage or on-premise S3 repositories.
  • Executing incremental backups and achieving point-in-time recovery.
  • Establishing Changefeeds for Kafka and webhook streaming.

Security and Compliance

  • Implementing TLS everywhere: covering node-to-node and client-to-node communication.
  • Managing Role-Based Access Control (RBAC) and row-level security.
  • Maintaining audit logging and generating compliance reports.

Integration Patterns

  • Connecting ORM frameworks such as SQLAlchemy, Prisma, and GORM.
  • Facilitating migration from PostgreSQL using appropriate tooling.
  • Integrating Kubernetes sidecars and service meshes.

Requirements

  • Proficiency in SQL and relational database administration.
  • A solid understanding of distributed consensus mechanisms, specifically Raft.
  • Familiarity with Go tooling and Docker is advantageous.

Audience

  • Senior database architects developing sovereign data layers.
  • Teams looking to replace Spanner, Aurora Global, or Cosmos DB.
  • Financial and healthcare institutions requiring strong data consistency.
 21 Hours

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