psiphon-tunnel-core VS QuestDB

Psiphon | Senior Software Engineer | https://psiphon.ca | Toronto, Canada | Full-time | REMOTE for now, REMOTE/ONSITE hybrid later

Psiphon Inc. is looking for experienced software developers to join our Toronto team.

= What we do =

We develop and operate Psiphon, an Internet anti-censorship network that helps millions of people in freedom-restricted countries access uncensored Internet every day. We work at the leading edge of circumvention technology, where the latest network protocol and endpoint obfuscation research is rapidly deployed into production around the world.

Our tasks include censorship technology research, server and client software development, and operation of a dynamic, global network of thousands of proxy servers.

We’re a small team looking for skilled and enthusiastic people to join us. We offer great compensation and benefits and flexible work arrangements.

= Tech stack =

Much of our system is open source, check it out at https://github.com/Psiphon-Inc/psiphon/ and https://github.com/Psiphon-Labs/psiphon-tunnel-core

We use Java (Android app), Obj-C and Swift (iOS app), C++ (Windows app), Go (cross-platform core client and server), Python/JavaScript/C/shell script (server-side stack), ElasticSearch/Logstash/Kibana (stats), and more.

= Contact =

Send resume to: [email protected]

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!