London Meetup - Performance for Mortal Companies - JOSH-FINAL
London Web Performance Meetup: Performance for mortal companies
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Transcript of London Web Performance Meetup: Performance for mortal companies
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Web Performance Optimization (WPO)Web Content Optimization (WCO)Web Code Optimization (WCO)Web Transformation (WT)Front end performance Optimization (FEO)…Stories from an emerging market…
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Agenda
• Introduction
• What is performance automation
• Basic terminology and concepts
• Automation at work
• Performance stats and Case Studies
• Market overview
• Q&A
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Web Performance
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Making sites faster
without changing code
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Basic terminology and concepts
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Waterfall chart
12
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Waterfall chart
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HTML
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Waterfall chart
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Resources
HTML
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Waterfall chart
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Start Render
Document Complete
FullyLoaded
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Waterfall component breakdown
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DNS lookup
DNS Lookup
• Takes one packet in each direction
• Time is limited to the latency of the connection (DSL/Cable/etc) for the single round trip
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Waterfall component breakdown
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TCP Connection
TCP Connection
• 3 packets
- ClientServer (SYN) - ServerClient (SYN/ACK) - ClientServer (ACK)
• Time is limited to the latency of the connection (DSL/Cable/etc) for the single round trip
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Time To First Byte
Time to First Byte
• Time from the request packet (usually 1) to the first packet of the response
• Includes the latency of the connect ion (DSL/Cable/etc) for a single round trip
• Also includes whatever server think time was involved in generating the response
Waterfall component breakdown
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Content Download
Download
• Time it takes for the entire content of the response to get to the browser
• Mostly limited by the bandwidth limit of the connection (DSL/Cable/etc)
Waterfall component breakdown
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First view vs Repeat View
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Concurrency
Blocking
Concurrent
Concurrency
•Blocking script don't let the browser use available resources (network, connections, etc) to fetch more content from the server
•The overall page load time and render time are both affected negatively)
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Case Study: Automation in action
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Methodology
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Let’s Automate
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A Few Points of Clarification
• We’ll use it to describe where performance pain points are, but that doesn’t mean the page actually has these problems
• What we’re going to do:
Not so good(slow)
Awesome(fast)
Improve performance incrementally
* The real Velocity site is somewhere in the middle!
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Performance Summary
http://bit.ly/au01VY /
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Waterfall
First View Repeat View
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Per Object
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Content Analysis by Type
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Content Analysis by Domain
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Show Me Where It HurtsProblem Analysis
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Performance Problems
• Too many connections (too much orange)
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Too Many Connections
97 Connections(almost one per request)
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Too Many Connections
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Performance Problems
• Too many connections (too much orange)• Too many bytes (too much blue)
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Too Many Bytes
By Type By Domain
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Performance Problems
• Too many connections (too much orange)• Too many bytes (too much blue)• Concurrency
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Concurrency
• Browsers can only open and use so many connections at once
• www.browserscope.org
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Performance Problems
• Too many connections (too much orange)• Too many bytes (too much blue)• Concurrency• Bad Caching for repeat views
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Bad Repeat View
Full Fetches
Validation
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Bad Repeat ViewConnections Bytes
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Performance Problems
• Too many connections (too much orange)• Too many bytes (too much blue)• Concurrency• Bad Caching for repeat views• No CDN (the greens are too big)
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The Green Problem #1: No CDNTTFB
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Performance Problems
• Too many connections (too much orange)• Too many bytes (too much blue)• Concurrency• Bad Caching for repeat views• No CDN (the greens are too big)• Too Many Roundtrips (too many greens)
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The Green Problem #2: Roundtrips
First View Repeat View
80 Requests
27 Requests
78 Requests
14 Requests
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The Green Problem #2: Roundtrips
• Every fetch still pays the HTTP overhead penalty TTFB is still a problem
• Exacerbated by concurrency issues• Getting worse as number of objects per page
grows• Generally, the hardest problem to solve
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Performance Problems
• Too many connections• Too many bytes (too much blue)• Concurrency• Bad Caching for repeat views• No CDN (the greens are too big)• Too Many Roundtrips (too many greens)• Others
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Examples of Other Problems
• Blocking Javascript
• 3rd party calls (http://stevesouders.com/p3pc/)
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Summary
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Let’s Fix It!!
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Set-Up
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Testing Environment
Automation SERVICE (CLOUD)
WebPageTest Client(East Coast)
O’Reilly Datacenter (West Coast)
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Acceleration Methodology
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Stepwise Acceleration
• Start from the beginning and fix the easy stuff
• Step by step acceleration of the page– Apply techniques/methods/etc and see the result– Try to make it as fast as possible
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Step 1:
Low Hanging Fruit
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Keep-Alive
• Solves the too-many connection problem (Less Orange!)
• Will help alleviate the TCP connection setup overhead
97 Connections
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Compression
• Addresses the too-many-bytes problem (Less Blue!)
• We’ll compress textual content (html/css/etc)• Not the only solution to less blue, but the easiest
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WebPageTest
http://bit.ly/cKkjGz
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Before and After
~17.8sec ~10.5sec
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What We Helped: Keep-Alive
97 Connections 19 Connections
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What We Helped: Compression
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How Did We Do?
Original
KA+Comp
First View
Repeat View
52%
71%
34%
94%
31%
51%
23%
75%
40%
62%
Improvement
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Before and after: Keep-alives & compression
http://www.youtube.com/watch?v=KPYBF41yiFw
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Pros and Cons
• Pros– Really easy to do– Single configuration switches in servers, proxies, or
load balancers– Good benefit seen right away
• Cons– Compression has processing overhead– On their own they’re just not enough
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Step 2:
Repeat View Problem
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Poor Client Side Caching
Original
KA+Comp
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Problem Still Exists
~6.2sec
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How Do We Get Better Caching
• RFC 2616, Section 13• Caching headers should be used on static (non-
changing) objects, so they can be cached browser-side – And by intermediate caching proxies
• Validators are not enough
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WebPageTest
http://bit.ly/aCP3iX
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Before and After
~6.2sec
~2.0sec
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How Did We Do?
KA+Comp
With Good Caching
Repeat View 70% 42%67%
Improvement
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Pros and Cons
• Pros– Good caching can have a major performance impact
on repeat visits to a page– Sometimes it’s easy to do– Browsers generally pay attention (although
interpretation may vary slightly)
• Cons– The spec appears scary– Invalidation and stale content
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Step 3:
CDN
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What Does a CDN do?
• Global network of proxy caches
• Get cacheable content close to users
• Reduce TTFB (smaller greens)
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TTFB Problem
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WebPageTest
http://bit.ly/a9ZJcF
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Before and After
~10.5sec ~8.3sec
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TTFB Savings
Per object TTFB savings of ~50%
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How Did We Do?
KA+Comp
+CDN
First View 21% 17%22%
Improvement
0.7 sec 2.3 sec 2.7 secSeconds Gained
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Before and after: Adding a CDN
http://www.youtube.com/watch?v=BR5hO5rL8lE
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Pros and Cons
• Pro– Good mitigation of the TTFB problem– Established industry: lots of vendors to choose from
• Cons– Sometimes costly– May require code change (CDN’ed objects should be
written to the CDN domain)
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Step 4:
Steroids- the Hard Stuff
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We Can Get Better!
Still too many roundtrips
Still too many bytes
Not Fast Enough!!
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What to do Next?
• Reduce Roundtrips– Combine images– Combine JavaScript– Combine CSS
• Reduce Payload even more– Minify CSS and JavaScript– Add Image Compression
• Increase Concurrency– Add a couple of domains to the mix
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WebPageTest
http://bit.ly/bbT3v4
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Before and After
~8.3sec
~3.8sec
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How Did We Do?
+CDN
+Strangeloop
First View 19% 30%54%
Improvement
0.5 sec 4.6 sec 4.1 sec
45% 31%
Seconds Gained
81 107
11 37
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Before and after: The final, fastest version
http://www.youtube.com/watch?v=IPn0T1UacIA
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Pros and Cons
• Pros– Most significant benefit for the hardest part of the
acceleration lifecycle– Address multiple performance points (somtimes
multiple ones with the same technique)
• Cons– It’s not easy– Regression
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Different Browsers
Chrome 9Chrome
10 FireFox 3
FireFox 4IE 6 IE 7 IE 8
Safari 5Series1
0
0.5
1
1.5
2
2.5
3
3.5
4Performance differences across browsers
Safari
Mobile
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Flow
3.8 Seconds11 Roundtrips
Conversion
? ? ?
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“These stats don’t apply to me.”
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Conversion Cart size Sales
9%
11%
13%
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Revenue Per visit Overall revenue
8%
6%
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“These stats don’t apply to me either.”
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How to perform a 5-minute speed/revenue benefit analysis of your site
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Step 1
Perform WebPagetests in IE7 and IE8.
Calculate the load time difference as a percentage.
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Step 2
Use Google Analytics to calculate your current order value per visit for IE7 and IE8.
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Step 3
Determine your order value per visit, by connection speed (cable, DSL, T1, dialup).
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Step 3 con’t
Determine your order value per visit, by connection speed (cable, DSL, T1, dialup).
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Step 4
Correlate the results of steps 1 to 3 in simple graphs.
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Step 5
Test your site to get a sense of how much faster it could be.
strangeloopnetworks.com/test-your-website
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Step 6
Compare these gains to your graphs from step 4.
What lift can you anticipate in value per visit?
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Caveats
• Correlation does not imply causation.
• Browser and connection speed might imply something about the buyer (i.e. s/he is more affluent) that is unrelated to the effects of speed.
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But this trend seems to hold true in the real world.
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Case study
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How to be your company’s in-house performance evangelist
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The average exec wants to know 3 things
• What’s in it for the company?
• What’s in it for me?
• How do we compare to our competitors?
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When talking to an exec…
Tell the time, not how the watch works.
• Most important, urgent point first.• Keep it short.• Keep it simple.• Make it visual.• Be ready to give context.
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What to say: #1
“Our site is slower than our competitors. We’re losing money.”
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What to say: #2
“We’ve proven that, when our site is faster for users, they spend more.”
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What to say: #3
“This is where we should be aiming.”
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What to say: #4
“Consumers expect EVERY website to load fast.”
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Performance automation market
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1993 20021999 20062000 200719961995 1998 20042003 20092008 2010
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“I will deliver what the server gives me as efficiently as possible to the browser.”
“I will transform what the server gives me to optimize it for the user’s browser”
Delivery
Transformation
History of performance automation
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Original Delivery Transformation
9.5 seconds63 roundtrips
5.7 seconds63 roundtrips
2.1 seconds9 roundtrips
Delivery vs Transformation
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Delivery market
Delivery
Load Balancers (scale and availability)
CDN (scale, availability and performance)
Other
TCP (Fastsoft)
WAN Optimization (Riverbed)
DNS (Neustar)
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Delivery market
Delivery
Load Balancers• Compression Smaller blues on HTML and resources• TCP Optimization & Multiplexing Smaller greens on HTML and some resources• Caching Smaller greens on HTML and resources• SSL Offload Higher scale and potentially smaller greens on HTML and smaller
blues
CDN- Static and Dynamic• Static object delivery smaller greens on resources• ESI smaller greens on HTML• DNS smaller teal • Compression Smaller blues on HTML • TCP Optimizations smaller greens and blues on HTML and some resources• Routing Optimization smaller blues on HTML and some resources
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Players delivery marketDelivery
Load Balancers
Basic
Kemp
Barracuda
Coyote Point
Advanced
F5
Citrix
Radware
Zeus
Cisco
CDN
Small object delivery
Akamai
Level 3
Limelight
CD Networks
Edgecast
Dynamic
Akamai
Level 3
CDNetworks
Contendo
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Transformation market
Transformation
Server side
Network
Cloud
Beta
Production
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Transformation market
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Transformation market
Transformation
Server
Platform agnostic
Strangeloop (Virtual)
Platform specific
Aptimize
Webo
Mod_Page speed
Network
Basic
F5 Web Acc
Cisco ACE4710
(fineground)
Advanced
Strangeloop
Aptimize (beta)
Cloud
Basic
Akamai
Limelight
Level 3
Advanced (beta)
Limelight (Acceloweb)
Torbit
Yotta
Blaze
Cotendo ( page_speed
)
Advanced (production)
Strangeloop
Level 3 (Strangeloop)
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