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Scaling MongoDB with Sharding: Setup Best Practices
In our previous post, we covered the basics of sharding (how MongoDB distributes data across multiple servers), why config servers are critical, and how balancing helps maintain efficiency. Now, we’ll go deeper into three critical areas that will determine whether your sharded cluster thrives or struggles: Let’s break these down in detail. Shard Key Selection:…
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Scaling MongoDB with Sharding: The Basics
When your database starts to outgrow its capacity, you’ve got two options: scale up or scale out. Scaling up means buying bigger, beefier servers with more RAM, CPU, and disk space. Whereas scaling out (using MongoDB’s sharding feature) can be a more cost-effective and flexible solution. The Basics of Sharding In simple terms, sharding involves…
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How to Change a MongoDB Primary to a Secondary
Maintaining a MongoDB Replica Set requires occasional maintenance and upgrades. Sometimes, this necessitates taking the primary node offline or converting it to a secondary node. Learn more about different Replica Set roles, Replica Sets: Member Roles and Types This guide will walk you through the steps needed to safely perform this task. Why Would You…
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Understanding the local Database in MongoDB
When you set up and initiate a replica set in MongoDB, all databases and collections on the primary database are replicated to the secondary nodes. However, there is one crucial exception: the local database. What is the local Database? Each mongod instance maintains its own unique copy of the local database. It contains collections that…
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Replica Sets: Member Roles and Types
MongoDB replica sets are a powerful way to ensure high availability and data redundancy in your database environment. While we won’t delve into all the intricate configuration options here, let’s explore some key member roles and types that allow you to shape your replica set’s behavior according to your needs. Priority: Defining Leadership In a…
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Replica Sets: Why an Odd Number of Nodes?
If you are using a Replica Set with your MongoDB setup you might be wondering why using an odd number of nodes (or members) is the best practice. After all if you could have four nodes that is probably better than three, right? Not so fast! In this post we will dig in a little…
