How did TDengine go from obscurity to prominence on GitHub? How does TDengine achieve superior storage and query performance? Why open source, and open source all your “know-how”? And how to practice the principle of “trust the code only”? What trends and breakthrough points can developers who love open source find? This Saturday (November 7, 2020), three months after TDengine opened its cluster to open source, Taos data’s geek boys are hosting an offline Party with TDengine fans. Click here to sign up.
On August 3, 2020, we decided to open source the clustering function most needed by users, which caused a lot of response. Many former “diving” in TDengine technology exchange group users reported to the official team, since the open source last year, they are very concerned about TDengine, but because the cluster function was not open source before, it increased their consideration of the cost of using TDengine in production environment, and this time, it can be said that the right time, right place, There is no reason not to replace the clunky Hadoop architecture.
After cluster open source, TDengine once again reached a new height on GitHub, ranking no. 1 in GitHub global Trend list for 6 consecutive days. Currently, the number of stars has exceeded 14,000, the number of forks has exceeded 3,600, and the number of issues has exceeded 4,000. More happily, our real user base continues to grow by more than 100 per day, and within three months, we have reached 10,000 users using TDengine 2.0.
Open source is about being thorough. This is Taos Data’s guide to action from top to bottom. But is it enough to open all the source code and open source whatever the user needs?
Of course not! As open source geeks, we want to show you our hearts. Therefore, we have positioned this offline Party as a technology Open Day, and intend to announce all the technical innovations and design details of the program. As a technical straight man, I may not be able to talk with you from poetry to philosophy of life, but I can certainly talk with you from technological innovation to design ideas, and bring you to know a different TDengine.
You will hear
Tao Jianhui (Founder &CEO of Taos Data) : What is the innovation of TDengine? Why are performance metrics 10 times faster than generic big data platforms?
Guan Shengliang (Co-founder, Taos Data) : understand how TDengine 2.0 clusters are designed and work in 30 minutes
Cheng Hongze (Co-founder of Taos Data) : TDengine’s storage and compression algorithm: How to achieve less than 1/10 of the storage space of the general database?
Liu Yiqing (TRX Data R&D engineer) : Trust people or code? Open source Software, how to do CI/CD?
Awards announced
In addition to this sharing of technical wizardry, we have two other big awards to reveal.
Remember when we launched the TDengine MQTT Bounty Challenge a little over a month ago? After layers of selection, the winner has been produced. Huskar-t (GitHub nickname) will be at the tech open house to pick up his prize.
In addition, there will be a “Best Contributor” award for external contributors who have been supporting TDengine and the open source community since open Source. PS: There are many ways to become our Contributor, see if there is one suitable for you, maybe next time you will be on the podium
How to sign up
Scan the qr code in the poster below to register ~ Add a small assistant “InfoQ111” invites you to enter the activity communication group in advance
