Gerrit topics support with AWS Lambda
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Our company has a large codebase split across many Git repositories that are reviewed using Gerrit. Gerrit allows grouping related code changes across different projects into topics but does not support checking out topics from the repo or running continuous integration feedback on all commits in a topic. To address this, a workflow was created using Gerrit topics and AWS Lambda to automatically run CI tests on all commits in a topic.
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Finding a specific car online can be a time-consuming task, especially when checking multiple dealer websites. A few years ago, I faced this exact problem while searching for a particular vehicle in New Zealand. The local classified platform, Trade Me (similar to eBay), wasn¡¯t yielding any results, so I expanded my search to second-hand dealer sites¡ªonly to realise that periodically checking each one was going to be tedious. That¡¯s when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platform¡¯s structure and built an FME workspace that automated the search process for me. By integrating API calls and setting up periodic checks, I received real-time email alerts when matching cars were listed. In this presentation, I¡¯ll walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME can¡¯t buy a car for you¡ªyet¡ªit can certainly help you find the one you¡¯re after!Connecting Data and Intelligence: The Role of FME in Machine Learning
Connecting Data and Intelligence: The Role of FME in Machine LearningSafe Software
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In this presentation, we want to explore powerful data integration and preparation for Machine Learning. FME is known for its ability to manipulate and transform geospatial data, connecting diverse data sources into efficient and automated workflows. By integrating FME with Machine Learning techniques, it is possible to transform raw data into valuable insights faster and more accurately, enabling intelligent analysis and data-driven decision making.AI Agents and FME: A How-to Guide on Generating Synthetic Metadata
AI Agents and FME: A How-to Guide on Generating Synthetic MetadataSafe Software
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In the world of AI agents, semantics is king. Good metadata is thus essential in an organization's AI readiness checklist. But how do we keep up with the massive influx of new data? In this talk we go over the tips and tricks in generating synthetic metadata for the consumption of human users and AI agents alike.You are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante
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¡°MPU+: A Transformative Solution for Next-Gen AI at the Edge,¡± a Presentation...
¡°MPU+: A Transformative Solution for Next-Gen AI at the Edge,¡± a Presentation...Edge AI and Vision Alliance
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Gerrit topics support with AWS Lambda
- 1. Artem Nikitin Selenium Camp| March, 2018 Gerrit + topics + Lambda = ?
- 2. Specifics of our workflow ? Huge internal codebase (10+ millions LOC) ? Very modular (1000+ Git repos) ? Our project depends on almost 100 internal dependencies ? `repo` for working with codebase ? Gerrit for code review ? 2018 HERE | PublicSelenium Camp | March, 2018
- 3. Topics in Gerrit ? Gerrit has topics ? Topic combines commits to several different projects into one logical entity ? `repo` allows you to create topic, but not to checkout it ? No built-in support for feedback to all commits in topic on CI side ? 2018 HERE | PublicSelenium Camp | March, 2018
- 4. Handling topics in Gerrit ? 2018 HERE | PublicSelenium Camp | March, 2018
- 5. Thank you Contact Artem Nikitin hi@artemnikitin.com artemnikitin artemnikitin