# Travel Industry Published articles for Travel Industry. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## When history fails you, borrow from geography DevFeed: [When history fails you, borrow from geography]() Original publisher: [Read original article]() Author: Harrison Katz Published: 2026-06-02T17:01:04Z Content type: article Language: en Sources: [The Airbnb Tech Blog - Medium]() Topics: [data](), [datasets]() Tags: [ai](), [building](), [data](), [data-modeling](), [data-science](), [machine-learning](), [post](), [technology](), [travel-industry]() ### AI overview Airbnb describes a forecasting approach for the uneven post-COVID travel recovery, using sequential signals from other geographies and propagating prior information to produce corridor-level forecasts when local post-shock data was scarce. ### Source excerpt How Airbnb used sequential geographic recovery signals and prior propagation to generate reliable corridor-level forecasts when local data was scarce. By: Harrison Katz The problem with unprecedented shocks Almost every forecasting system is built on the same implicit assumption: the future will resemble the past. You train on historical data, you validate on holdout periods, and you trust that past patterns will at least roughly indicate future performance. When this assumption breaks, the model does not gracefully degrade; it fails confidently. It produces precise, well-calibrated intervals around the wrong answer. The acute phase of COVID, from early to late 2020, was a clear illustration of this, and we wrote about it in a previous post. But the more interesting forecasting problem was not the shutdown. It was everything that came after. The period from late 2020 through 2022 was not a single coherent regime. It was a sequence of overlapping, asynchronous changes: vaccine rollouts that reached some markets months before others, border reopenings that followed their own country-level timelines, reclosures triggered by new variants that hit different corridors (a pairing of the traveler's origin city and destination city) at different moments. Demand was not recovering uniformly. It was rebounding unevenly across every corner of the world, in ways that had no historical precedent and no single governing pattern. The standard response to a shock is to wait for each affected market to accumulate its own post-shock data and retrain locally. But Covid was among the biggest shocks the travel industry has faced in decades. With markets worldwide reopening and reclosing on staggered schedules, waiting for markets to settle meant forecasting blind for months at a time, across all markets, just when timely projections were most needed, in the circumstances. So we started building something different. When we could not simply look backward in time for relevant examples, we ## How Booking.com Orchestrated Their Service Architecture with Apollo Federation DevFeed: [How Booking.com Orchestrated Their Service Architecture with Apollo Federation]() Original publisher: [Read original article]() Author: Maylee Jacob Published: 2025-05-07T13:45:42Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [API](), [Orchestration]() Tags: [api](), [apollo](), [apollo-federation](), [architecture](), [booking](), [developer-experience](), [distributed](), [events](), [experiments](), [governance](), [graphql](), [performance](), [schema](), [services](), [travel](), [travel-industry]() ### AI overview This customer case study describes how Booking.com used Apollo Federation and GraphQL to move from a centralized API orchestration layer toward a distributed, federated service architecture. The supplied text reports that the earlier approach created performance, development, maintenance, and domain-specific optimization challenges, but the article text is incomplete. ### Source excerpt This post is part of our GraphQL Summit 2024 customer series, highlighting how leading teams are using Apollo to accelerate development and build world-class applications. Join hundreds of your peers this October as we return for GraphQL Summit 2025. Booking.com, a leader in the online travel industry, has significantly advanced its digital infrastructure by integrating Apollo Federation into its service architecture. ## The CTO of Triptojapan.com talks about how he made his site snappy and fast, with Cloudflare Workers, Drizzle and Turso DevFeed: [The CTO of Triptojapan.com talks about how he made his site snappy and fast, with Cloudflare Workers, Drizzle and Turso]() Original publisher: [Read original article]() Author: Michael Ludden Published: 2023-07-18T00:00:00Z Content type: article Language: en Sources: [Turso Blog]() Topics: [Turso](), [Drizzle](), [Workers](), [Databases]() Tags: [business](), [cloudflare](), [cloudflare-workers](), [databases](), [drizzle](), [japan](), [software-architecture](), [travel-industry](), [turso](), [web-development]() ### AI overview The article presents a CTO's account of making the Triptojapan.com site fast using Cloudflare Workers, Drizzle, and Turso. The supplied text also notes that Turso has since been rewritten and that the post describes an older version of Turso. ### Source excerpt Japan is a bucket list country for a lot of people -- natural sites, a deep rooted culture and world renowned cuisine. Japan has it all. But it's also one of the more difficult countries to use... ## trivago Tech Check-in: Meet Mohammad DevFeed: [trivago Tech Check-in: Meet Mohammad]() Original publisher: [Read original article]() Author: Mohammad Abed Javascript Software; Frontend Engineer Published: 2021-11-22T00:00:00Z Content type: article Language: en Sources: [Trivago]() Topics: [Front end](), [React](), [JavaScript](), [macOS](), [Unix]() Tags: [engineering](), [engineering-culture](), [frontend](), [javascript](), [macos](), [react](), [software-engineer](), [tech](), [travel-industry](), [unix]() ### AI overview A trivago Tech Check-in interview profiles Mohammad Abed, a frontend software engineer working on the Express Booking product. He discusses his background, move to Germany, daily work, React, and using macOS for development. ### Source excerpt trivago is the home to 500+ tech specialists from all corners of the globe - each with their own unique background and story of how they ended up here. Our trivago Tech Check-in series focuses o...