No Sphinx Search videos yet. You could help us improve this page by suggesting one.
Based on our record, Sphinx Search should be more popular than Porter. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://getporter.org/ https://getporter.dev/ One of you is going to have to rename yourselves... - Source: Hacker News / over 1 year ago
Porter - a fully-managed PaaS that lets teams automate DevOps. The free basic tier for porter cloud offers management of 1 cluster with up to 10 vCPU and 20 GB memory. - Source: dev.to / over 1 year ago
There are some YC startups (AtomizedHq.com and getporter.dev) that are doing really interesting things with cross-cloud K8S deployments (more like heroku). These are all different bits of the serverless microservices scaling puzzle. We are a long way off but trying to think long term, even as a 2 person alpha prototype :). Source: almost 3 years ago
But then I saw a YC startup called Porter (https://getporter.dev) that made getting the cluster set up and deploying the apps from Heroku on AWS EKS a piece of cake. It's really great. There is another YC startup called Atomized (https://atomizedhq.com) that I've been looking at that's also really great. They are both worth checking out, and the teams from both are super-responsive. Source: almost 3 years ago
Sphinx is a search engine that can be integrated into a website to provide advanced search functionality such as full-text, Boolean, and faceted search. It is a powerful open-source search engine that can handle large amounts of data and quickly return results. - Source: dev.to / over 1 year ago
Have been using Sphinx. It does some processing around suffixes, tenses, and so on, and looks at word proximity (BM25), but is definitely limited. Source: over 1 year ago
Lucene is the thing you think you need. Elastic Search is a nice wrapper for it. But these are Java, so maybe you want Sphinx Search (C++) or MeiliSearch (Rust). Source: over 1 year ago
Using a natural language search will almost certainly be a better solution and PHP may not be the best tool for this task. Figure out how you are going to get the text out of the PDF and where you are going to put it. Look at things like sphinx and full text search in boolean mode for doing the keyword matching. Source: almost 2 years ago
In practice though you don't do any of this, you get a library to do it for you. I've used Sphinx Search in the past for some fairly hefty (In the order of terabytes), and there's a good book covering how to get it all set up and started. Source: almost 2 years ago
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
MkDocs - Project documentation with Markdown.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
8base - Rethink development using 8base's low-code development platform.
GitBook - Modern Publishing, Simply taking your books from ideas to finished, polished books.