Combing through log files to find out why your program keeps crashing is complex and challenges the cause behind a program crashing, especially when you’re speaking about terabytes worth of information.
Takipi, the Israeli startup that has developed technology for quickly locating flaws in log files, announced on Tuesday that they have closed a $15 million Series B round, which will be directed at ramping up their R&D and marketing efforts.
Takipi seeks out bugs and other issues, recording the flow of code that leads to that point, including the arrangement of the variables before the code blew up. Utilizing this massive data collection, Takipi allows programmers to understand immediately what led to the problem, how bad their situation is, and ensure that it is actually resolved after the fixes are completed.
Their software also collects the analytics from all of the bugs that have popped up on the servers, allowing the development team to decide quickly which problems need to be dealt with first.
The company’s product can be installed in only five minutes, all without requiring any changes to existing code.
Already in their first year, Takipi has succeeded in building a roster of 120 paying clients, including big names like Samsung, HP, Amdocs, and TripAdvisor.
Takipi was founded in 2012 by CEO Tal Weiss, VP R&D Niv Steingarten, Chief DevOps Chen Harel, Chief Architect Dor Levi, and Iris Shoor who had served as the Director of Marketing and Product before leaving the company.
Before building Takipi, the group of five entrepreneurs had worked together at VisualTao, which was bought by AutoDesk in 2009 for an estimated $20-30 million price tag. They stuck around at AutoDesk for two years following the acquisition before moving on to found Takipi.
Since then, they managed to raise seed funding and then a $4.5 million Series A in 2013. With this announcement on the completion of their $15 million Series B, led by Lightspeed Venture Partners along with previous investors Menlo Ventures, this round brings the company to a total of $22 million raised.
In response to the funding, Weiss said in his statement to the press that, “Deciphering problems in code is very much like performing heart surgery on top of a train speeding along at 100 MPH. Modern programing architecture is built for speed and scale, but the system for logging files has not changed over the past 20 years. It doesn’t matter how you look at them, log files are still text files that are too complicated to perform analysis on, restricted by the type of data that they can contain and at an exponential rate.”