Why clustering provides horizontal scaling in Redis - Quick Recap

Recall & Review

beginner

What is horizontal scaling in the context of clustering?

Horizontal scaling means adding more machines or nodes to a system to handle more data or traffic, instead of making one machine more powerful.

beginner

How does clustering help achieve horizontal scaling?

Clustering splits data and workload across multiple nodes, so each node handles part of the work, allowing the system to grow by adding more nodes.

intermediate

Why is horizontal scaling often preferred over vertical scaling?

Horizontal scaling is preferred because it is more flexible, cost-effective, and can handle failures better by distributing work across many nodes.

intermediate

What role does data partitioning play in clustering for horizontal scaling?

Data partitioning divides data into parts stored on different nodes, so each node only manages a portion, enabling the system to scale out easily.

beginner

How does Redis clustering enable horizontal scaling?

Redis clustering splits the key space into slots and distributes these slots across multiple nodes, so adding nodes spreads the load and increases capacity.

What does horizontal scaling involve?

A Reducing the number of nodes

B Upgrading the CPU of a single machine

C Adding more machines to share the workload

D Increasing the RAM of a single machine

Horizontal scaling means adding more machines or nodes to handle more work.

In Redis clustering, how is data distributed?

A Data is stored randomly without partitioning

B All data is copied to every node

C Data is stored only on the master node

D Data is split into slots and spread across nodes

Redis clustering divides data into slots and distributes them to different nodes.

Why is horizontal scaling more fault tolerant?

A Because it uses a single powerful machine

B Because work is shared across many nodes, so failure of one node doesn't stop the system

C Because it reduces the number of nodes

D Because it stores all data in one place

Sharing work across nodes means if one fails, others can continue working.

What is a key benefit of clustering for scaling?

A It allows adding more nodes to handle more data

B It makes the system slower

C It reduces the number of users

D It removes the need for backups

Clustering allows the system to grow by adding nodes to handle more data.

Which is NOT true about horizontal scaling?

A It means making one server more powerful

B It can improve system reliability

C It involves adding more servers

D It distributes workload across nodes

Making one server more powerful is vertical scaling, not horizontal.

Explain in your own words why clustering helps with horizontal scaling.

Think about how spreading work across many machines helps the system grow.

Describe how Redis clustering distributes data to enable horizontal scaling.

Focus on how Redis splits data and assigns it to different machines.