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According to Ben Evans in the article Going inside Java’s Project Loom and virtual threads: Now let's say I switched a thread pool to use virtual threads instead. So if I have 200 hundred users reaching this endpoint, I need to create 200 threads each waiting for IO. So let's say I have a backend application that has single endpoint, the business logic behind this endpoint is to read some data using JDBC which internally uses InputStream which again will use blocking system call( read() in terms of Linux). So I understand the motivation, for standard servlet based backend, there is always a thread pool that executes a business logic, once thread is blocked because of IO it can't do anything but wait. I was investigating how Project Loom works and what kind of benefits it can bring to my company. JACK CABLE KREBS GROUP RANSOMWHERE 32M PAGETECHCRUNCH CODEInstead you want the rolling sum over the past year and divide that by the number of days in the year, per my code above. I've had a look at your code and I don't think that the use of the pct_change function is correct - that will calculate the change on the rolling differential, so a movement from eg 0.10% to 0.11% would actually equate to a 10% change. Please also note the article cited states that "It was reported that it had correctly predicted a significant stock market decline only 25% of the time." so I'm not sure if we can read too much into this. So from a look at our graph, my interpretation is that the stock market is currently closing at a lot of 52 week highs, but is not showing many 52 week lows. It would be abnormal if both were occurring at the same time." ![]() JACK CABLE KREBS GROUP RANSOMWHERE 32M PAGETECHCRUNCH FREELike the show? Want to keep Jen and Tod in the podcasting business? Feel free to rate and review with your favorite podcast purveyor, like Apple Podcasts.,įrom the Hindenburg Omen Definition, "The Hindenburg Omen looks for a statistical deviation from the premise that under normal conditions, some stocks are either making new 52-week highs or new 52-week lows. Check out Discourse's security program and policies.Peruse Discourse's technical blog post about it.See Discourse's announcement of the vulnerability on GitHub.Read the CISA notification on the critical RCE vulnerability in Discourse.Listen to our previous episode with Jack on election security.At Stanford, Jack is a research assistant with the Stanford Internet Observatory and Stanford Empirical Security Research Group and launched Stanford's bug bounty program, one of the first in higher education. Jack was named one of Time Magazine's 25 most influential teens for 2018. After placing first in the Hack the Air Force challenge, Jack began working at the Pentagon's Defense Digital Service. Jack is a top-ranked bug bounty hacker, having identified over 350 vulnerabilities in companies including Google, Facebook, Uber, Yahoo, and the US Department of Defense. Jack formerly served as an Election Security Technical Advisor at CISA, where he led the development and deployment of Crossfeed, a pilot to scan election assets nationwide. Jack Cable is a security researcher and student at Stanford University, currently working as a security architect at Krebs Stamos Group. Tod highlights some of the many things Discourse is doing right with its security program. Stick around for our Rapid Rundown, where Tod and Jen talk about a remote code execution vulnerability that open-source forum provider Discourse experienced recently, which CISA released a notification about over the weekend. They chat about how Cable came up with the idea, the role of cryptocurrency in tracking these payments, and how better data sharing can help combat the surge in ransomware attacks. In this episode of Security Nation, Jen and Tod chat with Jack Cable, security architect at the Krebs Stamos Group, about Ransomwhere, a crowdsourced ransomware payment tracker. ![]()
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