MongoDB
TopTech1 is also a MongoDB partner. We help you with guidance and direction for all project stages such as system analysis, architecture, design, resource planning, implementation, performance, and data migration.
Our Services
We can help you identify the main aspects impacting the DB design and provide a detailed road map for the project.
Licenses
We can manage implementation, product maintenance, renewals and upgrades as well as to handle any MongoDB-related services.
Strategic Consulting
We offer comprehensive solutions on Big Data implementation and adoption with hardware as well as software considerations, storage factors, DB parameters and DB security-enforced settings. In addition, we also cover other vital aspects, including high availability, horizontal scaling, performance monitoring, data durability and various backup strategies.
Implementation & Maintenance, Third-party Integration, and Legacy Data Migration
Our specialists will collaboratively work with your team to develop MongoDB-based solutions at considerably low costs, straightforward implementation, and easy-monitoring system that is integrated with your current enterprise application, working seamlessly.
Use Case
Implementation of MongoDB systems. We provide your SA's and DBA's with detailed reference for MongoDB implementations (pre- and post- implementation).
MongoDB Services
Design Decisions
- Key factors
- DB design
- Data Modeling
- Schema Validation
- Security and Privacy
- Use TLS/SSL to encrypt communication channels between application and database.
- Access control to specify the authentication mechanism SCRAM-SHA-1, SCRAM-SHA-256, LDAP, Kerberos or an existing external framework) to require all clients and servers to provide valid credentials before they can connect to the system.
- Auditing for Mongod and Mongos instances to track system activity for deployments with multiple users and applications.
- Native encryption option to encrypt data files such that only parties with the decryption key can decode and read the data.
- Performance and Maintenance
- Deployment with any topology, at any scale.
- Deployment of new clusters and managing/monitoring and backing up existing ones.
- Quick upgrades with no downtime.
- Adding capacity, without taking application offline.
- Point-in-time and Scheduled Backup: restore to any point in time.
- Monitoring of system metrics and setup custom alerts
- Query Optimization to identify slow-running queries, new index suggestions with automate index builds.
- Data Consistency
- Journaling will be enabled across all the Mongo DB instances to provide durability in the event of a failure.
- Use a higher level of write concern to request acknowledgment from MongoDB for write operations.
- Use the read concern option to control recency, consistency, and isolation properties of the data read from replica sets and replica set shards.
- Data Migration
- Real-time continuous Big Data Integration - DBS-H Tool
- Database Administration and Monitoring
- Application servers
- Database Servers
- System Information
- Database Management System Configuration
- Backup
- Backup by copying underlying datafiles with file system snapshots
- Backup with Mongo dump (not recommended for large scale deployments)
- MongoDB ops manager/cloud manage
- Point-in-time, continuous and Scheduled Backup: restore to any point in time.
- Queryable backups to perform targeted restorations.
- Backup/Restore with Datos IO (link)
- Integrating with BI Tools such as QlikView, Tableau, Informatica