MongoDB Technical Administration and Operations Training Course

Module 1: Introduction and MongoDB Architecture (4h)

Curriculum:

• Historical context and the MongoDB ecosystem
• Common applications, advantages, and limitations
• Core architecture: instances, processes, and configuration parameters

Hands-on Exercises:

• Interactive sessions: connecting via Mongo Shell/CLI
• Establishing a sample database and collection

Module 2: Installation and Initial Configuration (6h)

Curriculum:

• Hardware specifications and resource allocations
• Installation procedures for Linux (deb/rpm), Windows, and macOS
• Navigating YAML configuration files (mongod.conf): dataDir, logDir, bindIp, port
• Startup parameters and service management via systemd

Hands-on Exercises:

• Deploying instances on local virtual machines or Docker containers
• Tuning configurations for development versus production environments
• Validating secure remote connectivity protocols

Module 3: Data Modeling and Basic Operations (5h)

Curriculum:

• Understanding BSON documents, collections, and databases
• Data modeling techniques: embedding versus referencing; design patterns
• Fundamental indexing concepts
• Executing operations with Mongo Shell and utilizing driver-specific scripting examples

Hands-on Exercises:

• Designing a data model for inventory or billing scenarios
• Implementing Create, Read, Update, and Delete (CRUD) functions
• Enforcing schema validation using JSON Schema within MongoDB

Module 4: Indexes and Performance Optimization (4h)

Curriculum:

• Types of indexes: simple, compound, multikey, text, and geospatial
• Analyzing query execution plans using explain() metrics
• Evaluating the impact of indexing on write performance and memory utilization

Hands-on Exercises:

• Populating collections with test datasets
• Comparing query performance with and without indexes; interpreting explain() outputs
• Optimizing indexes based on specific access patterns

Module 5: Security Protocols (5h)

Curriculum:

• Authentication standards: SCRAM, LDAP/Kerberos (overview)
• Defining user accounts and custom roles
• Implementing TLS/SSL for client-to-server communication
• Configuring at-rest encryption keys
• Overview of basic audit logging mechanisms

Hands-on Exercises:

• Provisioning users with least-privilege access
• Configuring TLS for local instances
• Verifying unauthorized access prevention and reviewing audit logs

Module 6: Replication and High Availability (6h)

Curriculum:

• Replication fundamentals: Primary, Secondary nodes, and the oplog
• Configuring replica sets: initiation, membership, and arbitration
• Monitoring cluster status and election processes
• Operational maintenance: adding/removing members and adjusting priorities

Hands-on Exercises:

• Deploying a three-node replica set on local infrastructure or virtual machines
• Simulating primary node failure to observe automatic failover
• Rebuilding secondary nodes and recovering replica integrity

Module 7: Sharding and Horizontal Scalability (6h)

Curriculum:

• Sharding fundamentals: shard keys, configuration servers, and mongos routers
• Selecting shard keys and associated operational risks
• Deploying configuration servers, shards, and mongos instances
• Managing data rebalancing and chunk migration

Hands-on Exercises:

• Configuring a simplified sharded cluster architecture
• Ingesting large-scale datasets to observe data distribution
• Modifying shard keys and understanding inherent limitations

Module 8: Backup, Restore, and Disaster Recovery (4h)

Curriculum:

• Native utility tools: mongodump/mongorestore, filesystem snapshots
• Backup strategies for replica sets and sharded clusters
• Fundamental utilization of Cloud Manager/Ops Manager for backups

Disaster Recovery (DR) planning: defining RTO and RPO metrics

Hands-on Exercises:

• Executing backup and restore procedures on a test database
• Simulating system failure and recovering from backups
• Developing a DR plan for a specified scenario

Module 9: Monitoring and Alerting (4h)

Curriculum:

• Monitoring utilities: mongostat, mongotop, Cloud Manager/Atlas Monitoring
• Integration frameworks with Prometheus and Grafana (concepts and examples)
• Essential metrics: CPU usage, memory consumption, I/O throughput, oplog size, and latencies

Configuring thresholds and notifications for alerts

Hands-on Exercises:

• Deploying local or containerized monitoring agents

Constructing basic dashboards with sample metrics

• Simulating load conditions to validate alert systems

Module 10: Maintenance, Upgrades, and Best Practices (4h)

Curriculum:

• Upgrade methodologies for replica sets and sharded clusters

Data cleanup, compaction techniques, and integrity verification

• Reviewing logs and conducting regular audits
• Automating routine tasks via scripts, cron jobs, Ansible, and Terraform
• Establishing data retention and archiving policies

Hands-on Exercises:

• Simulating minor and major upgrades in a controlled environment
• Developing automation scripts for backup and monitoring workflows
• Creating a periodic maintenance checklist

Summary and Next Steps