CockroachDB: Modern Distributed SQL Training in Astana, Kazakhstan

CockroachDB is a modern distributed SQL database designed to provide high availability, horizontal scalability, strong consistency, and fault tolerance across multiple regions and cloud environments. This three-day instructor-led training introduces participants to CockroachDB architecture, deployment, administration, performance optimization, and application integration. Participants will gain practical experience in managing distributed databases, understanding consensus mechanisms, designing scalable data models, and implementing resilient database solutions for modern enterprise applications.

CockroachDB Fundamentals and Cluster Deployment

Introduction to Distributed Databases

• Evolution of distributed databases

• Challenges of traditional relational databases

• Distributed SQL concepts and benefits

• CAP theorem and consistency models

• CockroachDB use cases and architecture overview

CockroachDB Architecture

• Nodes, ranges, and replicas

• Distributed transactions

• Consensus and replication mechanisms

• Fault tolerance concepts

• Data distribution strategies

Installing and Configuring CockroachDB

• Environment preparation

• Single-node deployment

• Multi-node cluster setup

• Cluster initialization procedures

• Configuration best practices

Cluster Management Fundamentals

• Node management

• Cluster health monitoring

• Administrative interfaces

• Command-line tools

• Basic troubleshooting techniques

Data Management and Performance Optimization

Working with Distributed SQL

• SQL compatibility and features

• Database and schema creation

• Table design principles

• Indexing strategies

• Constraints and data integrity

Distributed Transactions

• Transaction processing fundamentals

• Transaction isolation levels

• Consistency guarantees

• Transaction retries

• Best practices for application design

Data Distribution and Multi-Region Capabilities

• Data locality concepts

• Multi-region database design

• Regional tables

• Latency considerations

• Geo-partitioning strategies

Performance Monitoring and Optimization

• Query execution analysis

• Monitoring cluster performance

• Resource utilization tracking

• Performance bottleneck identification

• Query optimization techniques

Administration, Security, and High Availability

Security Management

• Authentication mechanisms

• User and role management

• Access control policies

• TLS and encryption

• Security best practices

Backup and Disaster Recovery

• Backup strategies

• Scheduled backups

• Restore procedures

• Disaster recovery planning

• Data protection techniques

High Availability and Scalability

• Cluster expansion techniques

• Node replacement procedures

• Failure handling mechanisms

• Load balancing concepts

• Capacity planning

Application Integration

• Database drivers and connectivity

• Connection pooling

• Application deployment considerations

• Migration strategies

• Integration best practices

Monitoring, Maintenance, and Troubleshooting

• Operational monitoring

• Log analysis

• Common issue resolution

• Cluster maintenance procedures

• Upgrade and patch management

Hands-on Labs

Summary and Conclusion