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Course Outline
Module 1: Introduction and MongoDB Architecture (4h)
Content:
- History and MongoDB ecosystem
- Typical use cases, pros and cons
- General architecture: instances, processes, and configuration
Practice:
- Interactive exploration: connecting with Mongo Shell/CLI
- Creating a sample database and collection
Module 2: Installation and Initial Configuration (6h)
Content:
- Hardware and resource requirements
- Installation 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 vs. production
- Verifying secure remote connectivity
Module 3: Data Modeling and Basic Operations (5h)
Content:
- BSON documents, collections, databases
- Modeling: embedding vs referencing; data design patterns
- Basic indexes (introduced earlier)
- Operations with Mongo Shell and scripting examples using drivers
Practice:
- Modeling a use case: inventory or billing system
- Implementing CRUD operations
- 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 metrics
- Index impact on write performance and memory
Practice:
- Creating collections with test data
- Testing queries with and without indexes; interpreting explain()
- Adjusting indexes based on access patterns
Module 5: Security (5h)
Content:
- Authentication mechanisms: SCRAM, LDAP/Kerberos (intro)
- Defining users and custom roles
- TLS/SSL between clients and servers
- At-rest encryption: key configuration
- Basic audit logging
Practice:
- Creating users with minimal privileges
- Configuring TLS in local instances
- Verifying unauthorized access 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 elections
- 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 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
- An understanding of general database concepts and data structures
- Familiarity with Linux command-line usage
- Basic knowledge of networking and system administration
Audience
- Database administrators and system engineers working with MongoDB
- DevOps and infrastructure teams deploying and maintaining MongoDB environments
- Developers interested in MongoDB internals and deployment best practices
48 Hours
Testimonials (5)
Kamil did a great job. He asked questions to find out what we already knew and what we needed to focus on, and easily adapted the training to our needs.
Susanna - USAF
Course - MongoDB Advanced Administrator
The situation was atypical because an intensive training for developers was to be conducted with non-developers. Lukasz took up this challenge with empathy and a lot of humour. Through his intelligent and flexible manner, he was able to ensure that a concrete learning gain was achieved for everyone. I enjoyed this very much and would gladly take a seminar with Lukasz again.
Christoph - Honda Bank GmbH
Course - MERN Fullstack Development
The lab environment
Samer Roshdi - epic ltd
Course - MongoDB for Analysts
It was very flexible and adapted to our expectations and skill level.
Raul Alberto Canales Requena - Kiloo
Course - MongoDB for Advanced Users
I generally was benefit from the open mind and communication.
