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Course Outline

Module 1: Introduction and MongoDB Architecture (4h)

Key Topics:

  • Evolution and the MongoDB ecosystem
  • Common use cases, advantages, and limitations
  • Core architecture: instances, processes, and configuration

Practical Application:

  • Interactive exploration: connecting using Mongo Shell/CLI
  • Creating a sample database and collection

Module 2: Installation and Initial Configuration (6h)

Key Topics:

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

Practical Application:

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

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

Key Topics:

  • BSON documents, collections, and databases
  • Data modeling strategies: embedding vs. referencing; design patterns
  • Foundational indexing concepts
  • Executing operations via Mongo Shell and driver-based scripting

Practical Application:

  • Modeling a specific use case, such as an inventory or billing system
  • Implementing CRUD (Create, Read, Update, Delete) operations
  • Applying schema validation using JSON Schema in MongoDB

Module 4: Indexes and Performance (4h)

Key Topics:

  • Types of indexes: simple, compound, multikey, text, and geospatial
  • Analyzing query execution plans using explain()
  • Impact of indexing on write performance and memory usage

Practical Application:

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

Module 5: Security (5h)

Key Topics:

  • Authentication methods: SCRAM, LDAP/Kerberos (overview)
  • Creating users and defining custom roles
  • Implementing TLS/SSL between clients and servers
  • Encryption at rest: key management configuration
  • Foundational audit logging

Practical Application:

  • Creating users with least-privilege access
  • Configuring TLS on local instances
  • Testing unauthorized access attempts and reviewing audit logs

Module 6: Replication and High Availability (6h)

Key Topics:

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

Practical Application:

  • Deploying a three-node replica set (local or VM-based)
  • Simulating a primary node failure to observe failover behavior
  • Rebuilding secondary nodes and restoring replica consistency

Module 7: Sharding and Horizontal Scalability (6h)

Key Topics:

  • Sharding concepts: shard key, config servers, and mongos router
  • Shard key selection strategies and associated risks
  • Deploying config servers, shards, and mongos instances
  • Data rebalancing and chunk migration

Practical Application:

  • Setting up a basic sharded cluster
  • Inserting large datasets to observe data distribution
  • Exploring shard key modifications and understanding their limitations

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

Key Topics:

  • Native tools: mongodump/mongorestore and filesystem snapshots
  • Backup strategies for replica sets and sharded clusters
  • Using Cloud Manager/Ops Manager for backup operations
  • Disaster Recovery (DR) planning: RTO and RPO considerations

Practical Application:

  • Executing backup and restore operations on a test database
  • Simulating data loss and recovering from backups
  • Developing a DR plan for a hypothetical scenario

Module 9: Monitoring and Alerts (4h)

Key Topics:

  • Monitoring tools: mongostat, mongotop, and Cloud Manager/Atlas Monitoring
  • Integration with Prometheus and Grafana (concepts and examples)
  • Key performance metrics: CPU, memory, I/O, oplog size, and latencies
  • Alerting mechanisms: defining thresholds and notification workflows

Practical Application:

  • Deploying a local or container-based monitoring agent
  • Configuring basic dashboards with sample metrics
  • Generating load to trigger and observe alerts

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

Key Topics:

  • Upgrade strategies for replica sets and sharded clusters
  • Data cleanup, compaction, and integrity verification
  • Log analysis and regular audit practices
  • Automating routine tasks (scripts, cronjobs, Ansible, Terraform)
  • Data retention and archiving policies

Practical Application:

  • Simulating minor and major upgrades in a controlled setting
  • Writing automation scripts for backups and monitoring
  • Creating a recurring maintenance checklist

Summary and Next Steps

Requirements

  • Foundational understanding of general database concepts and data structures
  • Proficiency with Linux command-line operations
  • Basic knowledge of networking and system administration

Target Audience

  • Database administrators and system engineers working with MongoDB
  • DevOps and infrastructure teams responsible for deploying and maintaining MongoDB environments
  • Developers seeking to understand MongoDB internals and best practices for deployment
 48 Hours

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