![]() ![]() In a workforce of over 650,000 people, there will be some individuals with ongoing performance challenges, and we work with these employees to help them meet the performance bar before determining if Amazon is the right place for them,” the spokesperson said. ![]() The vast majority of employees meet or exceed that high bar. “Amazon has always had a high bar for performance-it’s one of the things that makes Amazon an attractive place to work. And recent changes to Pivot’s appeal process may have further eroded workers’ chances of a fair hearing.Īn Amazon spokesperson said the Pivot program was created to provide a “fair and transparent process for employees who need support in their job,” while providing them choices about next steps in their career. It’s a critical piece of the toolkit the company’s management uses to wield power over its workers.Īmazon managers have routinely used Pivot as a weapon to edge out employees for a slew of reasons unrelated to low performance-some of them potentially illegal-according to current and former employees and employment lawyers familiar with the program. That program, known as Pivot, gives employees accused of underperforming a choice between leaving voluntarily or signing onto a rigorous work improvement plan to test their mettle. (Amazon disputed this estimate and told The Daily Beast those workers number in the hundreds.) Like thousands of tech workers at Amazon’s Seattle headquarters, Judy was managed out through an experimental management program at Amazon. Īt AWS, we use launch stack URLs with our sample templates to enable our customers to quickly launch the templates.įor more information about creating templates, see Working with Templates in the AWS CloudFormation User Guide.Exhausted and disillusioned, she took the severance package and signed an agreement promising she wouldn’t sue Amazon. To make your launch stack URL more visible, try our Launch Stack image ( ), which is available at. If they are not already authenticated, users are directed to the AWS Management Console sign-in page and then redirected to the AWS CloudFormation Create Stack wizard. Users can still specify parameters or other stack options. The template_location parameter is the URL of the template file.Īs an example, the following launch stack URL launches a stack named myteststack in the us-east-1 region with the mytemplate.template template:Īnyone who follows that URL is directed to the Create Stack wizard in the AWS CloudFormation console, with the specified stack name and template location, as shown in the following screenshot. The stack_name parameter is a unique name that identifies the stack. If you don’t specify a region, users are directed to the region they last used. The region parameter specifies where the stack will be created. ![]() region#/stacks/new?stackName= stack_name&templateURL= template_location ![]() To construct the launch stack URL, use the following general URL syntax: From the Amazon S3 console, you also need to retrieve the URL of the template file. Launch stack URLs are useful to bloggers, internal teams of a company, trainers, independent software vendors, or anyone who wants to provide a quick up and running solution to their users.īefore you construct a launch stack URL, save your template in an Amazon S3 bucket and grant open and download permissions to users who should have access to your template. A launch stack URL takes users directly to the Create Stack wizard in the AWS CloudFormation console with the stack name, the template URL, and default parameters already filled in. Users can launch an AWS CloudFormation stack with one of your templates, and AWS CloudFormation automatically provisions the specified resources and bootstraps the software running on them.Īlthough users have several ways to create stacks from your templates, you can provide a quick and direct option for your users by constructing a launch stack URL. When you use AWS CloudFormation templates to deliver your solutions, your users can get up and running with just a few clicks or commands. ![]()
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