GitHub/quartz
1
0
Fork 2
mirror of https://github.com/jackyzha0/quartz.git synced 2025-12-24 21:34:06 -06:00
Code Issues Actions Packages Projects Releases Wiki Activity

vault backup: 2022-06-12 13:17:30

Browse Source
This commit is contained in:
Jet Hughes 2022-06-12 13:17:30 +12:00
parent efcb34206d
commit 176accfef5
1 changed files with 51 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

54
content/notes/22-performance-and-security.md
View File

@ -21,10 +21,6 @@ Why are they important
- infosystems are wide and varied - infosystems are wide and varied
- wide range of performance characteristics - wide range of performance characteristics
- impact of changing requirements, e.g., adding a new module
- need to consider (often conflicting) organisational priorities
- critical to unambiguously document and agree
Things to consider Things to consider
- can interact and conflict with each other - can interact and conflict with each other
- accuracy vs speed - accuracy vs speed
@ -35,3 +31,53 @@ Things to consider
- data structures - data structures
- languages and frameworkds - languages and frameworkds
- constraints of target platform - constraints of target platform
- (devs machines are often more powerful)
- minimum requiremnts for system e.g., min specs for windows
- ...
- impact of changing requirements, e.g., adding a new module
- need to consider (often conflicting) organisational priorities
- critical to unambiguously document and agree
# Response time
- what is quick
- for most people
- < 0.1s: instant
- 0.1s to 1s: noticable
- 1s to 10s: slow
- > 10s: user will probably switch tasks
- affected by system workload: number of concurrent users, volume of data, etc vs available resources
- most users really dislike variable response times (unpredicatbility)
- example requiremen: "cards are validated within 2s"
- this implies 100%
- better: "95% of cards are validated within 2 s"
- other consideration
- what is included in response time?
- what is the measurement period (of the system in general) (often varied workload changes performance)
- what is the acceptable error rate
# Workload
- system workload is almost never constant
- may may well defined peaks and troughs
- may be unpreditable
- peak vs typical vs minimum
- differet transaction types
- read vs write transactions
- online vs batch
- define workload requirements around use cases
- e.g., " the system must be able to validate 1 million cards per day"
# Scalability
- can the system scale to meet changing demand
- can it scale quickly enough
- elasticity particularly important to large public-facing systems
- can be difficult to test "for real"
- example requirement: "the system must be able to handle up to 2 million cards on a busy day"
# Platform
- target for system deployment
- on prem
- cl