Sentinel architecture in Redis - Step-by-Step Execution

Concept Flow - Sentinel architecture

Start: Redis Master

↓

Sentinel Monitors Master

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Detects Master Failure?

No→Continue Monitoring

Yes↓

Sentinel Votes for New Master

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Elect New Master

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Slaves Reconfigure to New Master

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Clients Redirected to New Master

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Sentinel Resumes Monitoring

Sentinel watches the master Redis server, detects failure, elects a new master, and updates slaves and clients.

Execution Sample

Redis

SENTINEL MONITOR mymaster 127.0.0.1 6379 2
SENTINEL FAILOVER mymaster
SENTINEL GET-MASTER-ADDR-BY-NAME mymaster

Sentinel monitors a master, triggers failover, and retrieves the current master address.

Execution Table

Step	Action	Condition/Check	Result/State Change
1	Sentinel starts monitoring master	Master reachable?	Yes, monitoring continues
2	Master fails (simulated)	Master reachable?	No, failure detected
3	Sentinel nodes communicate	Quorum reached?	Yes, failover initiated
4	Sentinel elects new master	New master selected	One slave promoted
5	Slaves reconfigure	Slaves point to new master	Replication continues
6	Clients redirected	Clients connect to new master	Service restored
7	Sentinel resumes monitoring	Monitoring active	System stable
8	End	No further failure	Sentinel waits for events

💡 Sentinel stops failover process after new master is elected and system stabilizes

Variable Tracker

Variable	Start	After Step 2	After Step 4	After Step 6	Final
Master Status	Up	Down	Down	Down	Up (new master)
Sentinel State	Monitoring	Detecting failure	Failover in progress	Failover complete	Monitoring
Slaves Config	Point to old master	Point to old master	One slave promoted	All point to new master	All point to new master
Clients Connection	To old master	To old master	Failover ongoing	Redirected to new master	Connected to new master

Key Moments - 3 Insights

Why does Sentinel need a quorum before failover?

Sentinel nodes vote to avoid split-brain; quorum ensures majority agree on master failure before promoting a new master (see execution_table step 3).

What happens to slaves during failover?

One slave is promoted to master, and other slaves reconfigure to replicate from the new master (see variable_tracker Slaves Config after step 4 and 6).

How do clients know about the new master?

Clients are redirected to the new master after failover completes, ensuring continuous service (see execution_table step 6 and variable_tracker Clients Connection).

Visual Quiz - 3 Questions

Look at the execution_table, at which step does Sentinel detect the master failure?

A Step 1

B Step 4

C Step 2

D Step 6

💡 Hint

Check the 'Condition/Check' column for 'Master reachable?' changing to 'No' in execution_table.

According to variable_tracker, what is the state of 'Master Status' after step 4?

A Up (new master)

B Down

C Unknown

D Starting

💡 Hint

Look at the 'Master Status' row under 'After Step 4' in variable_tracker.

If the quorum was not reached, what would happen in the execution_table flow?

A Sentinel would continue monitoring without failover

B Failover would proceed anyway

C Slaves would be promoted automatically

D Clients would be redirected immediately

💡 Hint

Refer to execution_table step 3 where quorum is checked before failover.

Concept Snapshot

Sentinel architecture monitors Redis master servers.
It detects failures by checking master availability.
Sentinel nodes vote to confirm failure (quorum).
On failure, a slave is promoted to master.
Slaves and clients are reconfigured to new master.
Sentinel resumes monitoring after failover.

Full Transcript

Redis Sentinel architecture involves multiple Sentinel nodes monitoring a Redis master server. They continuously check if the master is reachable. When a failure is detected, Sentinel nodes communicate and vote to confirm the failure, requiring a quorum to avoid mistakes. Once confirmed, Sentinel elects a new master by promoting one of the slaves. The other slaves reconfigure to replicate from the new master, and clients are redirected to connect to the new master. After failover, Sentinel resumes monitoring the new master to maintain high availability.