He’s been a rock singer, a villainous clockmaker, a bodyguard and an assassin. He has been featured on merchandise, been replicated in media, and has been the symbol of High Tea the world over. Of all the characters from Alice in Wonderland, perhaps the most memorable and recognizable is none other than the Mad Hatter. This time, he breaks down Johnny Depp’s iconic Mad Hatter costume (on which he has a Master Milliner’s worth of knowledge) and examines how the famed actor used the attire to embody one of the best known characters in literature. ‘They were,” Depp says, “ very close.The Top Hat of Hatters and my personal friend Chad Evett is back to share with us another compelling peak through the looking glass. Burton, whose background in art and animation is well known, also draws his characters, and when he and his star compared their handiwork they grinned like the Cheshire Cat. Depp let the two ideas germinate in his head and it informed his own Hatter concoction. And you start thinking about the letter ‘M’ and Hatters and the term ‘Mad as a hatter’ and ‘mercury.’”ĭepp was also intrigued by one of the Mad Hatter’s nonsense questions during a dizzying tea party: “Why is a raven like a writing desk?” “I think he is referencing Edgar Allan Poe,” Depp said, referring to the haunted author of “ The Raven,” which was published in 1845, two decades before Carroll’s surreal tale reached the public. “So I started kind of doing a little researching, reading a bunch. “There’s a great line in the book where the Hatter says, ‘I’m investigating things that begin with the letter ‘M,’” Depp said. The 46-year-old actor said his Hatter’s springy mass of tangerine hair became a particularly important detail because of one of the suspected origins of the term “Mad as a hatter.” But his version of the Mad Hatter for Tim Burton’s interpretation of “ Alice in Wonderland” has stirred both interest and, early on, some skepticism from literary purists who say it’s a far cry from the character as described in Lewis Carroll’s 19th century writings or from images in the collective public imagination shaped by years of stage productions and the 1951 Walt Disney animated classic.ĭepp’s extreme vision for the character - who arrives in theaters on March 5 - creates yet another vivid screen persona for the Hollywood chameleon who has played Sweeney Todd, Willie Wonka, Edward Scissorhands and a certain scoundrel named Jack Sparrow. It’s hard to imagine any pink slips in the future for Depp, who arguably reigns as the biggest movie star in the world at the moment. “I was thinking,” the actor said, “‘Oh my God, this one will get me fired!’” After putting the finishing touches on his painting for “ Alice in Wonderland,” Depp looked down at the Mad Hatter staring back at him from the canvas and giggled. When he takes on a role, Johnny Depp often paints a watercolor portrait of the still-forming character to help find his face and personality. We have big plans here at the Hero Complex for covering ‘ Alice in Wonderland’ and today we have an early exclusive as Rachel Abramowitz talks with star Johnny Depp about the very specific madness of the Mad Hatter. This article was originally on a blog post platform and may be missing photos, graphics or links.
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In the AWS Lambda console, choose Create function.Adds delay between log stream deletions to avoid exceeding rate limits.Deletes log stream if the last log ingestion time is greater than configured retention period.Calls the CloudWatch DescribeLogStreams API and gets last log ingestion time.Checks retention day setting for each log group and picks only those log groups that do not have infinite retention setting enabled.The script reads the retention settings for all CloudWatch log groups and clears those log streams that are past their retention day period. Solution overviewĪ simple solution is to run the script provided below (lambda_function.py code) periodically in AWS Lambda. We will setup an AWS Lambda function that can be run on schedule to delete any empty log streams inside CloudWatch log groups. However, CloudWatch will retain the log streams even after logs are emptied by retention period settings. It typically takes up to 72 hours before log events are deleted, but in rare situations might take longer. CloudWatch Logs doesn’t immediately delete log events when they reach their retention setting. You can change the log retention for each log group at any time. Any data older than the current retention setting is deleted. By default, CloudWatch Logs are stored indefinitely, however you can configure how long data is stored in a log group. Each separate source of logs in CloudWatch Logs makes up a separate log stream. A log stream is a sequence of log events that share the same source. In this post, we will demonstrate process of automating the cleanup of Amazon CloudWatch log streams that have exceeded their retention period. Containerized and auto-scaling workloads (those with short-lived resources that create their own log streams) are common examples of this. While there is no charge for maintaining an empty log stream, having potentially thousands of them can be overwhelming, especially while using the CloudWatch console. Customers that use Amazon CloudWatch to monitor their applications and resources on AWS can accumulate a large number of log streams that are used only briefly, or are no longer required. |