Download PDF
Google Cloud Platform > Case Studies > Google Cloud Platform: A Recipe for Success at Allthecooks
Google Cloud Platform Logo

Google Cloud Platform: A Recipe for Success at Allthecooks

Technology Category
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Construction & Infrastructure
  • Glass
Applicable Functions
  • Maintenance
Use Cases
  • Construction Management
  • Infrastructure Inspection
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
The Challenge

Allthecooks, a social media platform for cooking enthusiasts, faced the challenge of managing a rapidly growing user base. The platform, which allows users to find, rate, comment on, and post their own recipes, had to process hundreds of thousands of simultaneous API requests whenever popular chefs updated their content. The company, which started with just three part-time engineers and no external funding, needed a scalable and reliable infrastructure to support its growth. The challenge was not just about speed, but also about scalability. As the user base grew, the need for a more robust backend processing architecture became evident. Cost was also a significant concern as the company was using its savings to build the platform.

About The Customer

Allthecooks is a social media platform for people who love cooking. It is available on Android, iPhone, Windows Phone, Google Glass, and Android Wear, and is a top recipe app on Google Play. The platform connects passionate chefs with casual and first-time cooks on every major mobile device. Users can find, rate, and comment on dishes they can cook themselves, or post their own ideas complete with directions, ingredients, servings, and nutrition information. The platform has chefs with tens of thousands of followers, meaning that whenever they make an update, hundreds of thousands of simultaneous API requests need to be processed.

The Solution

Google Cloud Platform played a pivotal role in addressing Allthecooks' challenges. The platform helped Allthecooks grow without worrying about their architecture. Google App Engine and Google Cloud Datastore were used to manage millions of daily interactions. As the user base expanded, Allthecooks began migrating significant parts of their backend processing architecture from App Engine to Google Compute Engine. This transition allowed the company to operate at higher performance levels using cheaper CPU and caching more data in the large RAM configurations supported by Compute Engine instances. The company also planned to use Google BigQuery to simplify the process of finding the perfect recipe. The recommendation engine was built on Compute Engine, enabling it to run entirely on RAM for immediate response times.

Operational Impact

  • The use of Google Cloud Platform has resulted in a reliable, manageable, and scalable system that requires minimal oversight for Allthecooks. The platform's stability is such that it can be left alone for a week without requiring maintenance. Google's support team has been quick to respond and has provided excellent services when needed. The recommendation engine built on Compute Engine has been particularly effective, providing users with immediate results. The social interaction level on Allthecooks, facilitated by the reliable infrastructure, is unmatched by other cooking apps, leading to users spending more time on the app. The platform has also enabled hands-free recipe following for Google Glass users, enhancing the user experience.

Quantitative Benefit

  • User base grew to over 12 million users with a million monthly active users since launching in December 2012.

  • Application now sees millions of interactions daily.

  • Migration to Google Compute Engine allowed for higher performance levels and cost savings.

Related Case Studies.

Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Learn more
Case Study
Condition Based Monitoring for Industrial Systems
A large construction aggregate plant operates 10 high horsepower Secondary Crusher Drive Motors and associated conveyor belts, producing 600 tons of product per hour. All heavy equipment requires maintenance, but the aggregate producer’s costs were greatly magnified any time that the necessary maintenance was unplanned and unscheduled. The product must be supplied to the customers on a tight time schedule to fulfill contracts, avoid penalties, and prevent the loss of future business. Furthermore, a sudden failure in one of the drive motors would cause rock to pile up in unwanted locations, extending the downtime and increasing the costs.Clearly, preventative maintenance was preferable to unexpected failures. So, twice each year, the company brought in an outside vendor to attach sensors to the motors, do vibration studies, measure bearing temperatures and attempt to assess the health of the motors. But that wasn’t enough. Unexpected breakdowns continued to occur. The aggregate producer decided to upgrade to a Condition Based Monitoring (CBM) sensor system that could continually monitor the motors in real time, apply data analytics to detect changes in motor behavior before they developed into major problems, and alert maintenance staff via email or text, anywhere they happened to be.A wired sensor network would have been cost prohibitive. An aggregate plant has numerous heavy vehicles moving around, so any cabling would have to be protected. But the plant covers 400 acres, and the cable would have to be trenched to numerous locations. Cable wasn’t going to work. The aggregate producer needed a wireless solution.
Learn more
© 2015-2024 IoT ONE Limited | Privacy Policy

Contact us

Let's talk!

* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.