MongoDB Technical Administration and Operations Training Course

Module 1: Introduction to MongoDB Architecture (4h)

Content:

• Overview of MongoDB’s history and ecosystem.
• Common use cases, advantages, and limitations.
• Core architecture: instances, processes, and configuration settings.

Practice:

• Interactive exploration via Mongo Shell/CLI.
• Creating a sample database and collection.

Module 2: Installation and Initial Configuration (6h)

Content:

• Hardware and resource requirements.
• Installation procedures on Linux (deb/rpm), Windows, and macOS.
• Understanding YAML configuration files (mongod.conf): dataDir, logDir, bindIp, port.
• Startup options and systemd/service management.

Practice:

• Deploying instances on local VMs or Docker containers.
• Tailoring configurations for development versus production environments.
• Verifying secure remote connectivity.

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

Content:

• Understanding BSON documents, collections, and databases.
• Data modeling techniques: embedding vs. referencing; data design patterns.
• Introduction to basic indexes.
• Performing operations using Mongo Shell and scripting examples with drivers.

Practice:

• Modeling a real-world use case, such as an inventory or billing system.
• Implementing CRUD operations.
• Applying schema validation using JSON Schema in MongoDB.

Module 4: Indexes and Performance Optimization (4h)

Content:

• Types of indexes: simple, compound, multikey, text, and geospatial.
• Utilizing explain() and analyzing performance metrics.
• Impact of indexes on write performance and memory usage.

Practice:

• Creating collections populated with test data.
• Testing queries with and without indexes; interpreting explain() output.
• Optimizing indexes based on access patterns.

Module 5: Security Measures (5h)

Content:

• Authentication mechanisms: SCRAM, LDAP/Kerberos (introduction).
• Creating users and defining custom roles.
• Implementing TLS/SSL for client-server communication.
• At-rest encryption configuration.
• Basics of audit logging.

Practice:

• Creating users with minimal necessary privileges.
• Configuring TLS on local instances.
• Verifying unauthorized access attempts and reviewing audit logs.

Module 6: Replication and High Availability (6h)

Content:

• Replication fundamentals: Primary, Secondary nodes, and oplog.
• Configuring replica sets: initiation, membership, and arbitration.
• Monitoring status and election processes.
• Maintenance tasks: adding/removing members and adjusting priorities.

Practice:

• Deploying a three-node replica set (locally or on VMs).
• Simulating primary failure and observing the failover process.
• Rebuilding secondary nodes and recovering replicas.

Module 7: Sharding and Horizontal Scalability (6h)

Content:

• Sharding concepts: shard keys, config servers, and mongos routers.
• Selecting appropriate shard keys and understanding associated risks.
• Deploying config servers, shards, and mongos instances.
• Managing data rebalancing and chunk migration.

Practice:

• Configuring a simple sharded cluster.
• Inserting large-scale data and observing distribution patterns.
• Exploring shard key modifications and their limitations.

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

Content:

• Native tools: mongodump/mongorestore and filesystem snapshots.
• Backup strategies for replica sets and sharded clusters.
• Utilizing Cloud Manager/Ops Manager for backups.
• Disaster Recovery (DR) planning: defining RTO and RPO.

Practice:

• Executing backup and restore operations on a test database.
• Simulating failure scenarios and recovering from backups.
• Designing a DR plan for a hypothetical scenario.

Module 9: Monitoring and Alerts (4h)

Content:

• Tools: mongostat, mongotop, Cloud Manager/Atlas Monitoring.
• Integration with Prometheus + Grafana (concepts and examples).
• Key metrics to track: CPU, memory, I/O, oplog size, and latencies.
• Setting up alerts by defining thresholds and notification channels.

Practice:

• Deploying a local or container-based monitoring agent.
• Establishing basic dashboards with sample metrics.
• Simulating system load and observing alert triggers.

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

Content:

• Upgrade strategies for replica sets and sharded clusters.
• Data cleanup, compaction, and integrity checks.
• Reviewing logs and conducting regular audits.
• Automating routine tasks using scripts, cronjobs, Ansible, and Terraform.
• Establishing data retention and archiving policies.

Practice:

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

Summary and Next Steps