Build & DeployBuild & Deploy
Conference50min
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Black Friday Brilliance: Managing a Billion Transactions with Tech, Tactics, and Teamwork

This talk shares how Loqate scaled its API infrastructure to handle over 1 billion Black Friday/Cyber Monday requests with 99.99% availability. It covers the technologies, planning, and teamwork behind this success, featuring insights from the development team on managing massive traffic spikes during critical retail periods.

Jamie Coleman
Jamie ColemanLoqate

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Wednesday, November 12, 11:50-12:40
L'oranger
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The Black Friday and Cyber Monday period is one of the busiest times in the retail calendar, both in stores and online, and here at Loqate our customers rely on our infrastructure to support their businesses at this crucial time. Over the four-day BFCM period in 2023 we processed over 1 billion requests to our APIs, and we managed this with greater than 99.99% availability! We've seen our request volume increase over 100x in the last 10 years, and managing this requires the right technologies, careful planning, and a great team of people.
With insightful commentary from a cross-section of our brilliant Dev team, I’ll talk you through how we scale our infrastructure to support these increases in traffic, and some of the technologies and processes we use. I’ll also give some insights into how the team works together over this busy period to keep everything running smoothly.
infrastructure
traffic
scalability
availability
talks.speakers
Jamie Coleman

Jamie Coleman

Loqate

UK

Jamie is a Senior Developer Advocate for Loqate formally at IBM & Sonatype, based in the UK. He has had the privilege to have spoken all around the world at developer conferences and is an organiser of London’s biggest developer community, the London Java Community.
Passionate about discovering ways to help reduce developers carbon footprint, he is also a subject matter expert in containerised solutions and build technologies. He fell in love with coding at university and has gone on to talk at many conferences about using languages like Java with microservices and related technologies such as AI and software security. He has worked on a wide variety of projects such as modernising IBMs mainframe testing infrastructure, creating, and automating the creation of Docker images for IBM’s products and contributing to a DevOps pipeline offering.

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