MongoDB Technical Administration and Operations Training Course

Module 1: Introduction and MongoDB Architecture (4 Hours)

Content:

• History of MongoDB and its ecosystem
• Common use cases, advantages, and limitations
• General architecture: instances, processes, and configuration settings

Practice:

• Interactive exploration: connecting with Mongo Shell/CLI for government applications
• Creating a sample database and collection to support public sector operations

Module 2: Installation and Initial Configuration (6 Hours)

Content:

• Hardware and resource requirements for optimal performance
• Installation procedures on Linux (deb/rpm), Windows, and macOS for government systems
• YAML configuration files (mongod.conf): data directories, log directories, bind IP addresses, and ports
• Startup options and systemd/service management techniques

Practice:

• Deploying instances on local virtual machines or Docker containers for government use
• Adjusting configurations to meet development versus production standards
• Verifying secure remote connectivity for government networks

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

Content:

• BSON documents, collections, and databases in the context of government data management
• Data modeling strategies: embedding versus referencing; common design patterns
• Basic indexes introduced for efficient query performance
• Operations with Mongo Shell and scripting examples using drivers for government applications

Practice:

• Modeling a use case: inventory or billing system for government operations
• Implementing CRUD (Create, Read, Update, Delete) operations to support public sector needs
• Schema validation using JSON Schema in MongoDB for data integrity in government databases

Module 4: Indexes and Performance (4 Hours)

Content:

• Simple, compound, multikey, text, and geospatial indexes for enhanced performance
• Using explain() to analyze query execution and metrics for government datasets
• The impact of indexing on write performance and memory usage in government systems

Practice:

• Creating collections with test data for government scenarios
• Testing queries with and without indexes; interpreting explain() results for government applications
• Adjusting indexes based on access patterns to optimize government database performance

Module 5: Security (5 Hours)

Content:

• Authentication mechanisms: SCRAM, LDAP/Kerberos (introduction) for secure government data management
• Defining users and custom roles to ensure role-based access control in government systems
• TLS/SSL configuration between clients and servers for secure communication in government networks
• At-rest encryption: key management and configuration for government compliance
• Basic audit logging for accountability and compliance in government operations

Practice:

• Creating users with minimal privileges to adhere to least privilege principles in government systems
• Configuring TLS in local instances for secure government data transmission
• Verifying unauthorized access attempts and reviewing audit logs for government security audits

Module 6: Replication and High Availability (6 Hours)

Content:

• Replication concepts: primary, secondary nodes, and operation logs (oplog) in government databases
• Replica set configuration: initialization, membership management, and arbitration for high availability in government systems
• Monitoring status and elections to ensure continuous service in government operations
• Maintenance procedures: adding or removing members, reassigning priorities for government database management

Practice:

• Deploying a three-node replica set (local or virtual machines) for government use
• Simulating primary node failure and observing failover mechanisms in government systems
• Rebuilding secondary nodes and recovering replicas to ensure data integrity in government databases

Module 7: Sharding and Horizontal Scalability (6 Hours)

Content:

• Sharding concepts: shard key, configuration servers, and mongos router for large-scale government applications
• Shard key selection and associated risks in government data management
• Deploying configuration servers, shards, and mongos routers to support scalable government systems
• Rebalancing and chunk migration strategies for efficient data distribution in government databases

Practice:

• Configuring a simple sharded cluster for government use cases
• Inserting large-scale data and observing distribution patterns in government systems
• Introducing shard key changes and understanding their limitations in government database design

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

Content:

• Native backup tools: mongodump/mongorestore, filesystem snapshots for government data protection
• Backup procedures in replica sets and sharded clusters for government systems
• Basic use of Cloud Manager/Ops Manager for automated backups in government environments
• Disaster Recovery (DR) planning: recovery time objectives (RTO), recovery point objectives (RPO) for government continuity

Practice:

• Performing backup and restore operations on a test database to ensure data integrity in government systems
• Simulating failure scenarios and recovering from backups to maintain government service availability
• Designing a DR plan for a hypothetical government case study

Module 9: Monitoring and Alerts (4 Hours)

Content:

• Monitoring tools: mongostat, mongotop, Cloud Manager/Atlas Monitoring for government database oversight
• Integration with Prometheus + Grafana for advanced monitoring in government systems
• Key metrics: CPU usage, memory consumption, I/O operations, oplog size, and latency for government performance tracking
• Alert configuration: defining thresholds and notification mechanisms to ensure timely action in government operations

Practice:

• Deploying a local or container-based monitoring agent for government systems
• Setting up basic dashboards with sample metrics to support government data visualization
• Simulating load scenarios and observing alert triggers to enhance government system reliability

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

Content:

• Upgrade strategies for replica sets and sharded clusters in government systems
• Data cleanup, compaction, and integrity checks to maintain government database health
• Reviewing logs and conducting regular audits to ensure compliance with government standards
• Automating routine tasks using scripts, cronjobs, Ansible, and Terraform for efficient government operations
• Data retention and archiving policies to support government data management requirements

Practice:

• Simulating minor and major upgrades in a controlled environment to ensure smooth transitions in government systems
• Creating automation scripts for backup and monitoring tasks to streamline government database maintenance
• Developing a periodic maintenance checklist to support ongoing government operations

Summary and Next Steps