98 lines
2.4 KiB
Markdown
98 lines
2.4 KiB
Markdown
[DATE] - [ARCHITECTURE_DECISION_NAME]
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===
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## Motivation
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<!--
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Motivation Example
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===
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Our database is heavy on read operations than write operations. After users is growing, we need to optimize read performance to ensure low latency and high availability.
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### Stackholder
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- **Users**: Expect fast response times when accessing data.
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- **Developers**: Need to maintain and scale the database efficiently.
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### Problem Statement
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The current database setup is struggling to handle the increasing read load, leading to slow response times and potential downtime during peak usage periods.
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-->
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[DESCRIPTION_OF_THE_DECISION_PROBLEM]
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### Stakeholders
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- [STAKEHOLDER_1]: [ROLE_AND_INTEREST]
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- [STAKEHOLDER_2]: [ROLE_AND_INTEREST]
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### Problem Statement
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[DETAILED_DESCRIPTION_OF_THE_PROBLEM]
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## Proposed Solution
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<!--
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Proposed Solution Example
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We have considered the following solutions to address the read performance issue:
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### Redis Caching
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Implementing Redis as an in-memory caching layer to store frequently accessed data. This will reduce the load on the primary database and speed up read operations.
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### Read Replicas
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Setting up read replicas of the primary database to distribute read traffic. This will help in balancing the load and improving read performance.
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-->
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### [SOLUTION_NAME]
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[DESCRIPTION_OF_SOLUTION]
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### [SOLUTION_NAME]
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[DESCRIPTION_OF_SOLUTION]
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## Decision
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<!--
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Decision Example
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===
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After evaluating the proposed solutions, we have decided to implement Redis Caching because it provides a significant performance boost for read operations with relatively low complexity and cost.
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-->
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After evaluating the proposed solutions, we have decided to implement [CHOSEN_SOLUTION_NAME] because [REASON_FOR_CHOICE].
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## Consequences
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Consequences Example
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Implementing Redis Caching will have the following consequences:
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### Positive Consequences
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- Improved read performance, leading to faster response times for users.
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- Reduced load on the primary database, enhancing overall system stability.
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### Negative Consequences
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- Additional infrastructure to manage and maintain (Redis server).
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- Potential data consistency issues if cache is not properly invalidated.
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-->
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### Positive Consequences
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- [POSITIVE_CONSEQUENCE_1]
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- [POSITIVE_CONSEQUENCE_2]
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### Negative Consequences
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- [NEGATIVE_CONSEQUENCE_1]
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- [NEGATIVE_CONSEQUENCE_2]
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