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Google Cloud Platform > Case Studies > Bloomreach: Scaling for Peak Performance with Google Cloud

Bloomreach: Scaling for Peak Performance with Google Cloud

Google Cloud Platform Logo
Technology Category
  • Analytics & Modeling - Machine Learning
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Construction & Infrastructure
  • Retail
Applicable Functions
  • Product Research & Development
  • Sales & Marketing
Use Cases
  • Construction Management
  • Vehicle-to-Infrastructure
Services
  • Cloud Planning, Design & Implementation Services
  • Testing & Certification
About The Customer

Bloomreach is the world’s leading Commerce Experience Cloud, empowering brands to deliver personalized customer journeys. The company offers a suite of products that drive personalization and digital commerce growth, including AI-driven search and merchandising, a headless CMS, and a leading Customer Data Platform (CDP) with marketing automation solutions. These solutions combine the power of unified customer and product data with the speed and scale of AI-optimization, enabling revenue-driving digital commerce experiences that convert on any channel and every journey. Bloomreach serves over 850 global brands including Albertsons, Bosch, Puma, FC Bayern München, and Marks & Spencer.

The Challenge

Bloomreach, a leading Commerce Experience Cloud, faced significant challenges as it grew rapidly since its launch in 2015. The company's growth began to strain its bare-metal IT infrastructure, affecting both development and stability. The company experienced server failures and poor connections with their data center provider, which threatened the reliability of their service. Furthermore, with the advent of GDPR regulations and a global client base, Bloomreach had to prepare for a more complex security environment. Their existing infrastructure was not capable of handling the upcoming challenges, and they needed a solution that could provide scalability, stability, and security.

The Solution

After evaluating several cloud vendors, Bloomreach chose Google Cloud for its ease of use and global reach. The migration to Google Cloud allowed Bloomreach to meet its clients' different needs, including data storage in different regions for GDPR compliance. As the company migrated to Google Cloud, it redesigned its architecture around containers rather than just virtual machines, using Google Kubernetes Engine (GKE) as the backbone of the new infrastructure. For stateful services like databases, Bloomreach used virtual machines with Compute Engine. The company's AI platform used Cloud Storage for data sources, which were processed with Dataproc, and GKE was used to train and deploy prediction models. Over time, Bloomreach refined its infrastructure to make more effective use of Google Cloud products, using BigQuery for data analytics and Google Cloud operations suite for monitoring and logging.

Operational Impact

  • The migration to Google Cloud has significantly improved Bloomreach's operational efficiency. The company's IT team can now work in much faster, more efficient cycles, with deployments taking under 20 seconds, regardless of the number of new customers added. This has empowered developers to take on responsibility for new projects without having to wait for DevOps staff to set up new infrastructure. Furthermore, the company successfully handled the peak load during Black Friday 2018, delivering a reliably smooth service to its customers. As Bloomreach continues to grow, it is exploring Google Cloud's machine learning and AI tools to gain insights from its internal monitoring and convert them into even greater efficiencies.

Quantitative Benefit

  • Bloomreach's infrastructure scaled to handle more than double the normal load during Black Friday with minimal cost.

  • The development of new features and bug fixes was sped up, deploying in seconds rather than minutes.

  • Bloomreach processes around 7 billion events per client, a significant increase from the previous average of 500 million events monthly.

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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.
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Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
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How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
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