Remote work allows me to work from anywhere in the world! But how do you folks manage remote access to private resources and networks? Let me know below.Īdditionally, I recently stumbled upon Twingate, and it has some pretty cool features. In fact, the author used this technique during their face-to-face meeting at Aiven (aptly named Crab Week), and it worked like a charm!Īlso shoutout to them for sponsoring my work! It's all about using vector representation and search to tackle this familiar problem.
Well, that's exactly what this blog explores. How do you identify all the pictures you're in without sifting through the entire pile? 📸 These pics are then shared with everyone. So, imagine this scenario: you're at an event, and there are tons of pictures taken by your friend or a photographer. And the star of the show in this blog? PostgreSQL with the amazing pgvector extension, recently released in Aiven for PostgreSQL. But fear not! There are tools designed to store colossal datasets and make searching through them a breeze, all while speaking a language we know and love – SQL. When your data becomes massive, handling it efficiently can be a real challenge. It's all about finding the closest vector(s) within the stored dataset, based on metrics like distance and angle. When you ask questions to these AI models, the answers are determined by proximity. Whether it's massive text data parsed and categorized by Large Language Models (LLMs) or images broken down to identify specific objects within them, vectors are at the heart of it all. In this age of AI, everything becomes a vector. Just read this nice blog post about AI and vectors by Aiven, here is what I learned: On top of that, it’s also open sourced with a great community behind it!Īlso shoutout to them for sponsoring my work. If you're tired of grappling with intricate deployment solutions or settling for expensive alternatives. Preevy prioritises simplicity with a firm belief that preview environments should be affordable, adaptable, and accessible to all. One game-changer in this process has been Preevy by Livecycle, a groundbreaking solution that simplifies the creation of preview environments for Docker Compose applications. Development teams collaborate seamlessly, refining and optimising features until they meet the standards for a seamless user experience. These environments facilitate the detection and resolution of issues, including performance bottlenecks, security vulnerabilities, or conflicts with existing features, well before they impact the user experience.ģ. Think of it as a dress rehearsal before the grand performance.Ģ. Preview Environments empower developers to experiment without concerns about destabilising the live platform or exposing users to potential bugs. When they introduce a new chat feature, they can meticulously assess its functionality within a Preview Environment, ensuring it doesn't disrupt your overall experience.ġ. Here, they meticulously test and refine the recommendation engine without affecting real users.Īlternatively, contemplate a beloved social media platform (perhaps the one you're currently using). Rather than directly deploying it, they established a "ShopNow DevLab," an identical replica of their website. Picture your favourite e-commerce platform, let's call it "ShopNow," aiming to implement a sophisticated feature such as personalised product recommendations. Consider it a controlled environment for code experimentation.
They provide developers with isolated spaces for testing new features, updates, and modifications before these alterations are unleashed upon the public.
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Preview Environments serve as exclusive laboratories for software development. In this post, we are going to learn more about it and how it works with some real-world examples. Have you ever pondered how leading websites seamlessly introduce new features, avoiding disruptions and glitches? This is where "Preview Environments" step in to save the day.
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