Recommendation : 1. Reduce the impact of data from its storage and access
Is frequently accessed data available in RAM ?
Data
C People
B Planet
B Prosperity
Difficulty
**
Priority
Medium
Récurrence
Periodic
Tests
What rate of physical access to data is being measured?
Precisions
The consumption of processing resources is higher when information has to be collected on physical media (disks, networks) rather than in RAM memory. The most frequently accessed data should benefit from this solution to reduce the energy of access, and reduce the need of high performance.
Use Case
Technical documentation
Pidila 436 / GreenIT 64 / Opquast 62
Additional elements
Operational issues related to the project
Rule for assessing the level of compliance of the criterion
0 / 0
Life cycle
Administration
19 other criteria related to the recommendation: Reduce the impact of data from its storage and access
Data
Is the number of requests kept to a minimum (no looping) ?
Data
Are the slow query detection thresholds set effectively ?
Data processing
Does regulated data (personal, health, financial) comply with the recommendations for structuring these categories of data ?
security
Is sensitive user data secure ?
Data processing
Does the API provide limits, filters and the list of fields to return ?
Data processing
Is the data collected really useful ?
Data processing
Is sensitive data collected ?
Data processing
Does the data have an expiration date when it is deleted ?
Data
Are data replications between multiple Database Engine (Cluster) instances appropriate for sensitivity and availability requirement ?
Data
Are "live" and "dead" data handled differently (eg: Slow storage for "dead" data) ?
Data
Are EXPLAIN clauses used on "Slow queries" to optimize indexes ?
Data
Have the different data access solutions (queries, triggers, stored procedures) been tested ?
Data
Is a NoSql solution more efficient than its relational equivalent ?
Data
Is an alternative to the relational model being considered ?
Data
Are database indexes consistent with operations ?
Data
Is the removal of obsolete data being managed ?
Data
Can data be backed up incrementally ?
Data
Do implemented queries use joins rather than multiple queries ?
Data
Is an alternative to SQL queries used when possible (local storage or similar) ?