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Handbook of Sustainable Design of Digital Services

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Backend    ODD#12     ODD#13    

Is the removal of obsolete data being managed ?

Recommendation 

Data

C People

A Planet

A Prosperity

Difficulty

**

Priority

High

Récurrence

Periodic

Tests

Are data lifetimes managed?

Precisions

The regulations require control of the data life cycle for certain categories (for e.g.: personal data governed by the RGPD). Lack of consideration to other categories of data leads to the accumulation of data without taking into account their expiry dates, which increases the volume of data, the volume of backups and the resources consumed by accessing the data. Over time, the level of detail of the data becomes less important, which should lead to a reduction in the volume of data, preceding its eventual removal.

Use Case

Impact assessment define actions and stakeholders involved in impact reduction

Additional elements

Operational issues related to the project

Posts

Rule for assessing the level of compliance of the criterion

Formalized = 100 ; Planned = 75 ; Identified = 50 ; Ignored = 0 / 100

Life cycle

Fin de Vie

19 other criteria related to the recommendation: Reduce the impact of data from its storage and access

Recommendation Essential

Data

Is the number of requests kept to a minimum (no looping) ?

Advice

Data

Is an alternative to SQL queries used when possible (local storage or similar) ?

Recommendation

Data

Do implemented queries use joins rather than multiple queries ?

Advice

Data

Can data be backed up incrementally ?

Recommendation

Data

Are database indexes consistent with operations ?

Advice

Data

Is an alternative to the relational model being considered ?

Advice

Data

Is a NoSql solution more efficient than its relational equivalent ?

Advice

Data

Have the different data access solutions (queries, triggers, stored procedures) been tested ?

Advice

Data

Are EXPLAIN clauses used on "Slow queries" to optimize indexes ?

Advice

Data

Are the slow query detection thresholds set effectively ?

Recommendation

Data

Are "live" and "dead" data handled differently (eg: Slow storage for "dead" data) ?

Recommendation

Data

Is frequently accessed data available in RAM ?

Recommendation

Data

Are data replications between multiple Database Engine (Cluster) instances appropriate for sensitivity and availability requirement ?

Recommendation

Data processing

Does the data have an expiration date when it is deleted ?

Recommendation

Data processing

Is sensitive data collected ?

Recommendation

Data processing

Is the data collected really useful ?

Recommendation

Data processing

Does the API provide limits, filters and the list of fields to return ?

Recommendation

security

Is sensitive user data secure ?

Advice

Data processing

Does regulated data (personal, health, financial) comply with the recommendations for structuring these categories of data ?