Awesome-Adoption VS QuestDB

Pawternity Hub is a Pet Adoption website where people can find local pets around their area to adopt. Started in a hackathon while brainstorming ideas to help the community, it was built with React and Bootstrap and uses the PetFinder API. Built by @NathanJoSuarez.

I have to say that looking for issues takes me forever. I want to further have more practice with JavaScript, so I head into this page to find any issues with JavaScript related. And I found that this project interested me, and the reason why is because it is a "full-stack" projects. I want to contribute to "small" full-stack project first, then further expand my knowledge, which enables me to build the fundamental.

The maintainer reviewed the PR very quick, he required some minor changes before merging my PR.

In the last blog, I have made a plan about how to add new feature to Awesome-Adoption project. Here are some tasks I need to complete in this week:

Picking two issues that challenged me more than my Hacktoberfest issues was not an easy process. The last challenge I left off on from Hacktoberfest was contributing a new provider to Notifire. Eventually I ended up choosing a Telescope issue and issue for a small opensource project.

In the final release, I decided to work on an external project named Awesome-Adoption which is a web application helping users find pets and adopt around their area.

I helped to improve image viewing in a React app called Awesome Adoption that I had previously worked on during Hacktoberfest. Importing the Carousel component from Bootstrap, I was able to make images more accessible on mobile. I am still working on ensuring the image size is correct for all.

register and login unit testing: https://github.com/redxzeta/Awesome-Adoption/issues/222

#207 highlighted the need for a modal through which the user could edit their profile. Awesome-Adoption is a React based application and I decided to work on it for my 4th contribution towards Hacktoberfest

First PR Second PR Third PR Fourth PR

If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.

If you're interested in that functionality or have any other feedback, please drop by our open source repository or community Slack and let us know.

QuestDB is a high-performance time series database with SQL analytics that can power through market data ingestion and analysis. It's open source and integrates well with the tools and languages you use. Check us out!

Looks like full keys are always compared if hash codes test equal, which is what I'd expect. For example: https://github.com/questdb/questdb/blob/master/core/src/main...

But of course, I want to run a QuestDB instance on my node, which uses two additional TCP ports for Influx Line Protocol (ILP) and Pgwire communication with the database. So how can I expose these extra ports on my node and route traffic to the QuestDB container running inside of k3s?

In this post, I will detail a way in which I recently used annotations while writing an operator for my company's product, QuestDB. Hopefully this will give you an idea of how you can incorporate annotations into your own operators to harness their full potential.

QuestDB is an open source, high performance time series database. With its massive ingestion throughput speeds and cost effective operation, QuestDB reduces infrastructure costs and helps you overcome tricky ingestion bottlenecks. Thanks for reading!