Course Outline
Module 1: Introduction and MongoDB Architecture (4h)
Content:
- History of MongoDB and its ecosystem.
- Typical use cases, advantages, and limitations.
- General architecture: instances, processes, and configuration.
Practice:
- Interactive exploration: connecting 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.
- YAML configuration files (mongod.conf): dataDir, logDir, bindIp, port.
- Startup options and systemd/service management.
Practice:
- Deploying instances on local VMs or Docker containers.
- Adjusting configurations for development versus production environments.
- Verifying secure remote connectivity.
Module 3: Data Modeling and Basic Operations (5h)
Content:
- BSON documents, collections, and databases.
- Modeling strategies: embedding versus referencing; data design patterns.
- Basic indexes (introduced in earlier modules).
- Operations using Mongo Shell and scripting examples with drivers.
Practice:
- Modeling a use case: inventory or billing system.
- Implementing CRUD operations.
- Applying schema validation using JSON Schema in MongoDB.
Module 4: Indexes and Performance (4h)
Content:
- Simple, compound, multikey, text, and geospatial indexes.
- Using explain() and analyzing performance metrics.
- The impact of indexes on write performance and memory usage.
Practice:
- Creating collections with test data.
- Testing queries with and without indexes; interpreting explain() output.
- Optimizing indexes based on access patterns.
Module 5: Security (5h)
Content:
- Authentication mechanisms: SCRAM, LDAP/Kerberos (introduction).
- Defining users and custom roles.
- TLS/SSL for communication between clients and servers.
- At-rest encryption: key configuration.
- Basic audit logging.
Practice:
- Creating users with minimal required privileges.
- Configuring TLS on local instances.
- Verifying unauthorized access attempts and reviewing audit logs.
Module 6: Replication and High Availability (6h)
Content:
- Replication concepts: Primary, Secondary, oplog.
- Replica set configuration: initiation, membership, arbitration.
- Monitoring status and election processes.
- Maintenance: adding/removing members, reassigning priorities.
Practice:
- Deploying a three-node replica set (local or VMs).
- Simulating primary failure and observing failover.
- Rebuilding secondary nodes and recovering replicas.
Module 7: Sharding and Horizontal Scalability (6h)
Content:
- Sharding concepts: shard key, config servers, mongos router.
- Shard key selection and associated risks.
- Deploying config servers, shards, and mongos.
- Rebalancing and chunk migration.
Practice:
- Configuring a simple sharded cluster.
- Inserting large-scale data and observing distribution.
- Introducing shard key changes and understanding limitations.
Module 8: Backup, Restore, and Disaster Recovery (4h)
Content:
- Native tools: mongodump/mongorestore, filesystem snapshots.
- Backups in replica sets and sharded clusters.
- Basic use of Cloud Manager/Ops Manager for backup.
- Disaster Recovery (DR) planning: RTO, RPO.
Practice:
- Performing backup and restore on a test database.
- Simulating failure and recovery from backup.
- Designing a DR plan for a hypothetical case.
Module 9: Monitoring and Alerts (4h)
Content:
- Tools: mongostat, mongotop, Cloud Manager/Atlas Monitoring.
- Integration with Prometheus + Grafana (concepts and examples).
- Key metrics: CPU, memory, I/O, oplog size, latencies.
- Alerts: defining thresholds and notifications.
Practice:
- Deploying a local or container-based monitoring agent.
- Setting up basic dashboards with sample metrics.
- Simulating load and observing alerts.
Module 10: Maintenance, Upgrades, and Best Practices (4h)
Content:
- Upgrade strategies for replica sets and sharded clusters.
- Data cleanup, compaction, integrity checks.
- Reviewing logs and conducting regular audits.
- Automating routine tasks (scripts, cronjobs, Ansible, Terraform).
- Data retention and archiving policies.
Practice:
- Simulating minor and major upgrades in a controlled environment.
- Creating automation scripts for backup and monitoring.
- Developing a periodic maintenance checklist.
Summary and Next Steps
Requirements
- A foundational understanding of general database concepts and data structures.
- Familiarity with using the Linux command-line interface.
- Basic knowledge of networking principles 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 deployment best practices.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6500 € + VAT*
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Testimonials (2)
The pace of talking and explanation.
Marko Skokovic - PWO by Lottomatica Serbia
Course - MongoDB for Administrators
Sir Jose is cool and explains every detail of the commands. We appreciate the time he takes to share his knowledge with us, and it truly shows that he is an expert in this field.
