flipkart big billion day_final
TRANSCRIPT
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FLIPKARTTHE BIG BILLION DAY SALE
BY
GROUP B7
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FLIPKART
Indias largest e -commerce company
Founded in 2007 by Sachin and Binny Bansal
Operates exclusively in India
Current m-cap : $ 11 billion ( post the recent $700 million funding inDec 2014)
On average, the company sells 10 products per minuteAims to generate Rs 50 billion in revenues by 2015
Operates on the marketplace model
Major competitors: Snapdeal, Jabong, Amazon
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ARCHITECTURE OF FLIPKART.COM
LoadBalancer
Web Servers
Database
Session store
Cache
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Requirements of Big Billion Sale
Required 700,000 man hours over six months
Challenge was to scale up the IT infrastructure to match 25 timesincrease in traffic expected on the day
Controlling the mobile application and rolling out the new featuresacross all platforms was a huge challenge
Flipkart added 4500 servers permanently to create an internal hybridcloud to manage the traffic
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Preparation for the Big Billion Sale
Additional capacity created for the event was higher than thecapacity created through seven years of the companys launch
In excess of 2000 systems, 3500 scanners, 1200 printers,300 routers,300 firewalls and 300 switches were in use50 tonnes of copper was moved across 800 km throughout thecountry to be ready for the sale
Additional 50 km of fibre optic cable(including 30 km imported) waslaid across various Flipkart facilities to be ready for the sale
Additionally subscribed to roughly 350 MB of Multi-Protocol LabelSwitching bandwidth
1200 high speed data cards were used to ensure no site was cutofffrom the system
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PreparationPreparations had started two and a half months before the D-day
Scale up the IT infrastructure to match the 20-25 times spike in the traffic
New features were added to the mobile application to create a new experience4500 servers were added to manage the traffic
1000 engineers were hired to handle the technical difficulties
10000 employees working 12-hour shifts in the weekend
Extended delivery to 40 more cities
Contingency PlanCreated a separate team for digital security
In a case of an error
A team of engineers were dedicated to ensure the services remain live
Another team focused on fixing the bug
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What Went Wrong?A lot of hype was built up through TVcommercials, newspaper and online
advertisingHowever, Flipkart failed to anticipate theresponse this event would generate.
Poor estimation of the duration of spike inthe traffic
Testing mechanism for the IT services notup to the mark - flipkart mobile app was
not functioning as expectedCouldnt convert prospective customersinto satisfied ones
Lost credibility and hurt their brand as sorecustomers lashed out their anger on socialmedia
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Big Side Effects of Poor Planning
Accused of Pricing Scam , iethe prices were inflated andhence the discounts werenot genuine
Lack of product variety
Product available forcheaper on competitorssite
Site crashed several timesOrder placements weremarred by glitches
No option of refund orcancellations
Ordered products werecancelled automatically
Products went Out of Stockwithin minutes ofcommencement of sale.
Ratings and reviews werehidden
Deals advertised were notavailable
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PEOPLE
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In the category of mistakes made by people, the most commonreason is the negative effect of undermined motivation onproductivity and quality
The individual capabilities of team members and the nature ofworking relationships of the team members is the next largestinfluencer
Failure to take timely action against a problem employee is one ofthe most often repeated reasons for a IT project failure
Adding people late to a project is another classic mistake.
In the case of Flipkart, based on public data, the Big Billion Day salefailed due to Flipkarts idea of speeding up the implementation byadding additional manpower to achieve the required number ofmanhours. Recruiting additional workforce coupled with addingnew systems is a classic recipe for disaster, as seen again in the caseof Flipkart
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TECHNOLOGY
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SCALING
Scaling the Flipkart website is required to handle large amounts oftraffic
Ensure high availability(reduce downtime of website)
Ensure Good Response Times
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How Flipkart Scales
Flipkart.com uses the following methods to scale and handle largeamounts of traffic: Logging and measuring High availability setup Web server optimizations
Caching Horizontal scaling
Load balancing
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HTTP ERROR 500
General HTTP status code that means the web server running thewebsite encountered a certain unexpected condition that did notallow access to the specified URL
Not a client side problem
To resolve, fix needs to be implemented to the web server software
In case of Flipkart, the error was most likely caused as a result of PHPcoding timeout
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HTTP ERROR 502
The 502 error is an HTTP status code which implies one serverreceived an invalid response from another server while attemptingto load the webpage
Usually a network error between servers on the Internet
Outdated or corrupted files that are being stored by your browsercould be causing 502 Bad Gateway issues
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HTTP ERROR 504
No response to the gateway- Usually means that the upstreamserver is down
Problem is entirely caused due to slow IP communication betweenback-end computers, possibly including the Web server
Caused due to increase use of proxies and caching on the Web
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RECOMMENDATIONS(contd.)
Avoid Ineffective Stakeholder ManagementFlipkart grossly underestimated the demand for certain SKUs, leading to stockouts in 5seconds for certain items
Being an online marketplace, it failed to adequately equip its stakeholders, the sellersor the upcoming rush of orders
Flipkart should have used technology to auto-exclude all sold -out items from its pageso that the customer dont experience the loss of an unmatchable deal.
Avoid Insufficient Risk ManagementFlipkart decided to provide a new experience across all its Web and mobile platforms.This put unnecessary load on its engineers and exposed the company to a myriadvariety of risks
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RECOMMENDATIONS(contd.)
Relook core software algorithms
The largely untested software and hardware infrastructure was notable to scale to the unforecasted sudden spike in traffic.
Flipkart needs to quickly invest in scalable infrastructure whichensures sudden spike such as this would not cause there sites to beunresponsive or show errors as well as be ready not only for presentdemand but also to tackle the explosive growth e-commerce isexpected to see in India, as the industry moves to second and thirdtier towns and broadband penetration increases
The technology at the core of their software algorithms should beequipped and made robust enough to handle all future spikes,however sudden or unpredicted they maybe
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REFERENCES
http://www.slideshare.net/sids/how-flipkart-scales-php http://royal.pingdom.com/2009/05/06/the-5-most-common-http-errors-according-to-google/
http://www.thehindubusinessline.com/features/smartbuy/tech-news/big-billion-day-sale-flipkart-site-crashes-on-heavy-demand/article6475295.ece
http://www.dnaindia.com/scitech/report-did-amazon-try-to-cleverly-hijack-flipkart-s-big-billion-day-sale-2023959
http://www.checkupdown.com/status/E502.html
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THANK YOU