Programa do Curso

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

Requisitos

  • 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 Horas

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