dozer
libcurl
dozer | libcurl | |
---|---|---|
20 | 300 | |
1,450 | 34,221 | |
2.1% | 0.9% | |
9.7 | 9.9 | |
17 days ago | 4 days ago | |
Rust | C | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dozer
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Show HN: Find simple open source bounties to solve and get paid
https://github.com/getdozer/dozer/issues/1631#issuecomment-1...
and then something has gone off the rails about the accounting process since
Trigger.dev
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Who owns and manage product documentation in your OSS / dev tool startup?
Hi HN,
I'm Matteo and co-founder of Dozer (https://github.com/getdozer/dozer), a backend tool for building data products. Over the past few months we have done good progress with the product development but our documentation needs a lot of work. Myself, my co-founder and the entire team are juggling among many activities, and one of them is producing good documentation, and that is the part where we are bit struggling.
We have tried to hire a couple of tech writers but it's really not working out as we wanted. Our product is a dev product, and it is very hard to find tech writers who have that depth to think what a developer need. At the same time, asking the dev team to write documentation produces low quality docs (obviously devs prefer to write code and they just to go back to that as fast they can).
The result is that I end up writing most of documentation or refactoring the entire content produced by tech writer. But this approach will not scale.
How do you guys solved it? I'm curios to know about the approach of other startups.
Thanks
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Creating a Low-Latency Cache with Dozer and PostgreSQL
This blog post explores how to enhance these aspects by implementing a low-latency cache using Dozer and PostgreSQL. We delve into the importance of caching in data management, the limitations of not having a cache, and the unique advantages of using Dozer as a cache layer. We also provide a guide on how to use Dozer for real-time data ingestion from PostgreSQL. This post is a must-read for developers seeking to improve their application's performance and responsiveness, and for those looking to simplify their data infrastructure.
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Building a Fast, Low-Latency Cache with Dozer and PostgreSQL
I recently penned a blog post on an interesting topic - leveraging Dozer with PostgreSQL to create a high-speed, low-latency cache. In case you're not familiar with Dozer, it's an open-source data API backend built entirely in Rust, known for its fast processing and lower resource usage.
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A video introduction to Dozer
some time ago I shared about our OSS project Dozer with the group. We just did a presentation and demo at the Python Meetup group here in Singapore and just wanted to share the full video here.
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Unified data view across Microservices: Temporal and Dozer?
Hey HN,
As one of the co-founders of Dozer (https://github.com/getdozer/dozer), I stumbled upon this awesome article from the Temporal folks (https://temporal.io/blog/saga-pattern-made-easy) and got super excited about the potential synergy between Dozer and Temporal.
While Temporal nails the orchestration of microservices, I couldn't help but notice the challenge of consolidating data across services. In the article, they talk about three services: flight booking, hotel booking, and experience booking. But imagine trying to create a complete trip view by stitching together data from all three services - it can be quite a headache!
And that's where Dozer swoops in to save the day. With Dozer, I can tap into all the change data capture (CDC) events from each microservice, merge the data in real-time, stash it in a cache, and make it available through APIs. The best part? Since Dozer operates in real-time, my cached data is always fresh. Boom! Now I can simply leverage Dozer's APIs to access a comprehensive trip view.
Raise your hand if you've faced this challenge before! Let's hear your thoughts.
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Announcing the Dozer Appathon!
👋🏼 Are you looking for a platform that simplifies the process of building and deploying data-driven applications? Look no further than Dozer! 💻 is a powerful Data API backend that simplifies the process of building and deploying data-driven applications & APIs for real-time data processing and analysis, predictive analytics, data caching, and much more. Dozer is a 100% open-source project.
Star our repository and get a chance to win an amazing Swagpack!!🎁🎉 We will announce the winners in our Discord server. So, don’t forget to join.🤗
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Pulling CDC data from Postgres
You can consider using Dozer (https://github.com/getdozer/dozer), an open-source data API backend. Dozer has a PostgreSQL connector that you can use to monitor any changes in your database schema and data. Although Dozer is not specifically designed for ETL tasks, you can still use it for this purpose by using Lambda functions. Dozer provides a Lambda runtime to execute user-defined functions. So you can use PostgreSQL connector ( to capture CDC) with Lambda runtime to load data to snowflake.
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Building a Real-time Data App with Dozer, React, and PostgreSQL
Enter Dozer, it simplifies the process of creating low-latency data APIs (gRPC and REST) from any data source easily with OpenAPI specification. Dozer is a real-time data engineering tool built with Rust, which enables seamless integration of data streams(sources), efficient data processing, and lightning-fast response times. This allows developers to focus on building applications without worrying about the complexity of managing real-time data.
libcurl
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Caching RESTful API requests with Heroku’s Redis Add-on
Then, in another terminal window, we use curl to hit the endpoint:
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Verified Curl
Made a PR to curl in line with the above: https://github.com/curl/curl/pull/13338
- Kelsey Hightower: Developers, what marketing strategies work on you?
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Open source at Fastly is getting opener
Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).
- Bruno
- Apple curl security incident 12604
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"The issue was detected by our new AI-powered vulnerability scanner"
From the GitHub Issue itself, the maintainer did end up creating a PR to fix a related issue: https://github.com/curl/curl/issues/12983
Also, the bot filed another issue despite the complaints.
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pyaction 4.28.0 Released
This Docker image is designed to support implementing Github Actions with Python. As of version 4.0.0., it starts with the official python docker image as the base which is a Debian OS. It specifically uses python:3-slim to keep the image size down for faster loading of Github Actions that use pyaction. On top of the base, we've installed curl gpg, git, and the GitHub CLI. We added curl and gpg because they are needed to install the GitHub CLI, and they may come in handy anyway (especially curl) when implementing a GitHub Action.
- Would Rust secure cURL? (2021)
- Curl HTTP/3 Performance
What are some alternatives?
dozer-samples - Sample applications using Dozer
Boost.Beast - HTTP and WebSocket built on Boost.Asio in C++11
conduit - Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
C++ REST SDK - The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
wick - Functional, reactive WebAssembly with a twist
POCO - The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems.
conduit-connector-postgres - Conduit connector for PostgreSQL
Simple-WebSocket-Server
dozer-react
cpp-httplib - A C++ header-only HTTP/HTTPS server and client library
kaskada - Modern, open-source event-processing
cpr - C++ Requests: Curl for People, a spiritual port of Python Requests.