MongoDB is the ultimate resource for organizations seeking a document-based tool capable of high-volume data storage. Employed by businesses worldwide, MongoDB is backed by a global community of developers. Prioritizing flexibility and scalability, MongoDB has the architecture to expand and grow with your business.Â
Here are a few key tips for businesses using MongoDB.
Study Use Cases
MongoDB is truly a highly diverse tool. It is used in IoT, gaming, logistics, banking, e-commerce, content management, and more. Study use cases if you aren’t sure how to solve a problem or how to use MongoDB to complete a specific task. They will show you the way.
Maximize Your RAM
Most of MongoDB’s data is stored in RAM. Beef up your hard disk RAM. This will facilitate quicker performance while executing queries.
Optimize Data Modeling
A well-structured data model is fundamental to ensuring MongoDB performs up to standard. Two ways to optimize data modelling are embedding documents and using normalization in data processing. This is beneficial when dealing with large datasets that may or may not have complex relationships.
Align Data Structure to Access Patterns
Your MongoDB data structure should align with an application’s access patterns to avoid performance bottlenecks. Evaluate performance with monitoring tools to determine if bottlenecks exist.
Index Strategically
Over-indexing slows down writes and consumes disk space. Correctly indexing, however, improves query performance. Index fields are based on query patterns, and index performance is monitored to ensure it is done properly.
More Indexing Strategies
There are several ways to improve MongoDB performance based on fine-tuning indexing and understanding query patterns.
Store the results of frequent sub-queries on documents to reduce read load. Look at logs to identify slow queries and check your indexes.
Use Query Profiling
Query profiling identifies slow queries and allows you to fine-tune them for better performance. Review a library’s visitor data. Use this data to enhance the layout. This can reduce page load times and improve the overall user experience.
Limit Returned Data
Use projection to minimize data retrieval in queries. Retrieve only the necessary fields, reducing the amount of data transferred over the network.
Deploy in the Cloud
A business can deploy MongoDB on-premises, in the cloud, or as a managed service. We recommend using cloud storage systems, which are the most inexpensive. They suit scalability needs and security requirements.
Define Access Controls
Define access controls based on user roles. Ensure each user or application only has permission to access the data they are authorized to use. This safeguards data and limits data exposure.
Maximize Encryption
Do not opt out of encryption. Encryption protects your data from unauthorized access or from being intercepted. This extra layer of security is a must. It ensures that, even if someone should gain access to your server or network, the data stored there will be near-impossible to decipher.
Prioritize Strong Data Security
MongoDB utilizes TLS, RBAC, and other forms of data security to protect its platform from misuse, security threats, and unauthorized users. From a user standpoint, enforcing strict user permissions is strongly encouraged.
Leverage Replication
Replication creates copies of your data across multiple servers, maximizing data availability if your other server fails. This protects you if a hardware failure or a server goes offline.
Embed – No Joins
Embedding documents is an efficient and clean way to store related data. Trying to create joins will, by comparison, reduce speed and performance.
Reference Over Embedding
Understanding when to reference data instead of embedding it is crucial. Make sure the application makes follow-up queries to resolve any references when needed.
Consider referencing if a document is accessed often but has data that’s not used much. Using references could be a good choice if one part of the document is updated a lot and the rest stays the same for a long while. Also, if your document gets bigger than MongoDB’s 16MB limit, referencing can help manage that.
Regularly Back Up Your Database
Whenever you back up MongoDB, you’re keeping essential data safe in the event of data loss, corruption, or similar unforeseen events. Schedule and automate backups, allowing you to store copies of data securely off-site.
If a catastrophic failure is tied to your MongoDB deployment, the database can be restored from your backups. For a business, this not only means you minimize data loss but dramatically reduce downtime as well.
Set Up Sharding Early
Implement sharding early in anticipation of the potential scalability to come. Businesses experiencing data growth or high query volume would normally encounter a bottleneck. With sharding, a user scales horizontally across multiple servers. Receive more power, resources, and better performance.
Plan for Schema Changes
While MongoDB utilizes a schema-free design to have a flexible data model and a strategy for handling schema changes in the application. This can reduce inconsistencies or errors when changes occur.
