Justin Myers Ordre des livres

Leo, typically the supportive best friend, finds himself unexpectedly in the spotlight, challenging his usual role. This new comedy by Justin Myers explores themes of friendship, self-discovery, and the complexities of stepping into the limelight. As Leo navigates this shift in dynamics, readers can expect humor and heartfelt moments that reflect on identity and the pursuit of one's own narrative.

In life, Leo's the best friend, never the leading man, but now he's in the spotlight and all eyes are on him. A masterful new comedy from Justin Myers, author of The Fake-Up, The Magnificent Sons and The Last Romeo.

A sharply observed and riotously funny coming-of-age story about a couple trying to forge a relationship in the fires of the modern world, from Justin Myers, acclaimed author of The Last Romeo and The Magnificent Sons

The brand new novel from Justin Myers, acclaimed author of The Last Romeo

James is 34 and fed up. His six-year relationship with Adam has imploded, he hates his job making up celebrity gossip, and his best friend Bella has just announced she's moving to Russia.Adrift and single in loved-up London, James needs to break out of his lonely, drunken comfort zone. Encouraged by Bella, he throws himself headlong into online dating, blogging each encounter anonymously as the mysterious Romeo.After meeting a succession of hot/weird/gross men, James has fans and the validation he's always craved. But when his wild night with a closeted Olympian goes viral and sends his Twitter-fame through the roof, James realises maybe, in the search for happy-ever-after, some things are better left un-shared. Seriously, wherefore art thou Romeo . . .From Justin Myers, author of sensational blog The Guyliner, this razor-sharp and cringingly candid account of one man's quest for The One is as sad, fearless and funny as dating itself.

Focusing on the advantages of distributed event correlation for security event detection, this research compares it with centralized methods, highlighting the latter's limitations such as high bandwidth use and resource demands. The study evaluates metrics like network utilization and detection capabilities, demonstrating that distributed correlation can significantly reduce syslog traffic and improve database performance. By implementing remote configuration scripts and correlating various log sources, the analysis showcases a 99% reduction in traffic and enhanced efficiency in high-accountability scenarios.