1.
Improving the Performance and
Scalability of Web Based
Applications
Ivaylo Stefanov
INHolland University of Applied Sciences
15–06–2015

2.
Outline
• Introduction
• The Problem
• The Solution
• Background
• Research Questions
• Research Methods
• Findings
• Conclusion
• Recommendations
• Your Questions

3.
What is FMS
Financial Application

4.
What is FMS
Financial Application
Integrated Management System

5.
What is FMS
Financial Application
Integrated Management System
Customized for the Clients

6.
The Problem
Slow Performance

7.
The Problem
Slow Performance
NOT Really Scalable

8.
The Problem
Increasing Amount of Customers

9.
The Goal
Better Performance

10.
The Goal
Increase Scalability
Better Performance

11.
The Goal
Fast Application = Happy Customers

12.
Background
Presentation
Logic
Data

13.
Presentation
=
ExtJSSingle Page

14.
Logic
=
Zend FrameworkREST API

15.
Data
=
Persistence

16.
Research Questions
Using tools to identify problems

17.
Research Questions
Using tools to identify problems
Architectural solutions to the problem

18.
Research Questions
Using tools to identify problems
Architectural solutions to the problem
Data solutions to the problem

19.
Research Methods
1. Measure
2. Analyze3. Optimize

20.
Where to Start
→
Measure Presentation
Chrome DevTools

21.
Backend Measuring
→
Measure Logic
PHP Storm Xdebug
+

22.
Backend Analysis
→
Analyze Logic
Inspect Code
+
Do The Math

23.
Backend Changes
→
Optimize Logic
+
Think SOLID Fix Architecture

24.
Measure After
LogicRe-measure

25.
Data Measuring
→
Measure Data Transfer
PHP Storm Run Requests
+

26.
Data Analysis
→
Analyze Data Transfer
+
Do The MathInspect Code

27.
Data Transfer Changes
→
Data Transfer
Select Specific
+
Optimize
Index

28.
Data Transfer Changes
→
Data Transfer
+
Optimize
CachePaginate

29.
Measure After
Re-measure Data

30.
Findings
x7 Times Faster

31.
Findings
x2 Less Memory Used

32.
Conclusion
1. Measure
2. Analyze3. Optimize
1. Measure
2. Analyze3. Optimize

33.
Recommendations
Query Logic
Command Logic
UI
Relational Data
Prepared Data

34.
Your Questions

35.
Thank You!