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Products that do what Search on S3 Using AWS Lambda does
Hi everyone, During the last 3 months, I worked on the Quickwit search engine to adapt it for AWS Lambda runtime. I wrote a blog post to announce the beta release [0] and two tutorials to quickstart: - Indexing and searching 20 million logs entries dataset [1]. - Implementing an E2E use case where an application generates data, uploads it in batches to S3. Users can then search through an HTTP API authenticated with an API Key [2]. On the performance side, I observed on a 20 million log dataset that search is sub-second, and analytics queries take from 1 to 4 second. On the cost side,…
- 1QO
Hi folks, Quickwit cofounder here. We started Quickwit 3 years ago with a POC, "Searching the web for under $1000/month" (see HN discussions [0]), with the goal of making a robust OSS alternative to Elasticsearch / Splunk / Datadog. We have reached a significant milestone with our latest release (0.7) [1], as we have witnessed users of the nightly version of Quickwit deploy clusters with hundreds of nodes, ingest hundreds of terabytes of data daily, and enjoy considerable cost savings. To give you a concrete example, one company is ingesting hundreds of terabytes of logs daily…
2024 · github.com
- 2IW
Hi HN! During the last few years, I worked on a few applications built with Go, running on AWS Lambda. As I got to know the platform better, I started to find Go & Lambda to be a really productive combination. The applications were fast, and they ended up being much cheaper to run than what my team & I had built before. It’s probably not the best platform for _every_ application, but I was surprised at how much of our workload worked well on it. As we brought new engineers on to our team and helped them get up to speed with the stack, I found that we were covering a lot of the same topics…
2021
- 3QO
Hi HN, Quickwit cofounder here! Quickwit is a cloud-native search engine for observability, and we have just released a significant upgrade with performance improvements, extended Elasticsearch API compatibility, and better integration with OpenTelemetry tools, Grafana, and Jaeger. This release is also a significant milestone as we have been witnessing users of the nightly version of Quickwit deploy clusters with hundreds of nodes, ingest hundreds of terabytes of data daily, and enjoy additional cost savings. We are very excited to put it in the hands of all of our users. One report…
2024 · github.com
- 4IB
Hey HN: I'm Kaveh, the founder of Usage (https://www.usage.ai/) We help companies drive down AWS costs. Why? Because the way it's done now is a pain. Stakeholders, especially engineers, are required to spend unnecessary time manually finding underutilized or overly expensive EC2s. We believe the optimization process should be done automatically through a series of sophisticated algorithms. At the moment, there are over 70,000 AWS EC2 prices - doing that manually just won't scale at most organizations. My background is in software engineering. Previous to founding Usage, I…
2020
- 5
- 6IB
Hi all! A few weeks ago I was scrolling through confluence pages trying to find ssh connection details to our integration machine for 40 minutes straight, later I discovered my co-worker slack'ed me the ssh connection string two months ago. So the same weekend I started working on haystack - a search engine for workplace apps. that enables you to search slack, confluence, jira, teams, sharepoint, github, and email in one place. I wanted it to support natural language queries so a query like: "how to connect to integ2 machine?" yields: ssh -i private.pem…
2023 · haystack.it
- 7U2
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We launched on Hacker News for the first time early last year, and we've made a lot of progress since then. We've saved tens of millions of dollars for companies, and we are even more excited to announce the launch of a new product: insured reservations for RDS! We worked closely with AWS on this feature and are excited to finally make it generally available. We help companies drive down AWS EC2 & RDS spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs…
2023
- 8
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- 10BQ
2017 · bucketquery.com
- 11
- 12SL
S2 was on HN for our intro blog post a year ago (https://news.ycombinator.com/item?id=42480105). S2 started out as a serverless API — think S3, but for streams. The idea of streams as a cloud storage primitive resonated with a lot of folks, but not having an open source option was a sticking point for adoption – especially from projects that were themselves open source! So we decided to build it: https://github.com/s2-streamstore/s2 s2-lite is MIT-licensed, written in Rust, and uses SlateDB (https://slatedb.io) as its storage engine. SlateDB is an…
Jan 2026 · github.com
- 13AS
We built a search engine that shows you the most engaging stories/topics being shared across Twitter, Facebook, Linkedin, and Google+. We crawled over 15 million articles the past 3 months, retrieved the total number of Facebook likes, tweets, Google+’s etc and built a search index around it. Here's what our infrastructure looks like: Rails/Redis: We use the Sidekiq gem as a message queue. We have hundreds of workers that do the crawling, data mining, and number crunching. ElasticSearch: We built the search index using ElasticSearch, with the data imported from our Postgres…
2013 · buzzsumo.com
- 14LC
2015 · cloudnative.io
- 15
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- 17
- 18IB
I created a 100% Open source Company-wide Self-hosted File Sharing Solution for Teams Recently, I wanted to share HD images and video files with my graphic designer. She’s exceptional at her craft but isn’t familiar with AWS S3 So, I got an idea and built this. Github Repo: https://github.com/rohitg00/s3-file-share-for-free Detailed Guide: https://ghumare64.medium.com/i-built-a-company-wide-self-hos...
2024 · s3-file-share-for-free-35n2u.kinsta.app
- 19
- 20LL
2018 · producthunt.com
- 21LA
2017 · lambdacult.com
- 22TS
2023 · ultrafastsearchengine.com
- 23WS
We built a search engine interface on top of OpenAI GPT 3.5 and Microsoft Bing that summarizes and cites top search results in response to natural language questions. By using search results, the AI is able to reference recent news and provide citations for specific facts. Our interface offers concise answers, without having to click through links, scroll past irrelevant content, or read ads. No login is required; no personal data is collected. We believe in the power of combining the intuitive UI of web search with the intelligence of large language models. The search engine does indexing…
2022 · perplexity.ai
- 24SF
2018 · github.com
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