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The @Amazon Web Services ( #AWS ) Well-Architected Framework is designed to assist organizations in building secure, resilient, performant and efficient infrastructure able to optimally support their applications. The five pillars of the Well-Architected Framework provide some of the most valuable guidance available when it comes to pursuing effective cloud transformation strategies, building and deploying scalable systems, reducing risks, and making informed decisions based on best practices gleaned through studying thousands of real customers’ architectures on AWS. Click here to register for this free webinar covering the AWS Well-Architected Framework’s Cost Optimization pillar. Reliam, a Los Angeles-based MSP and longstanding AWS partner, presents this webinar series featuring an in-depth exploration of each of the AWS Well-Architected Framework’s five pillars. The complete webinar schedule (with completed webinars always available on-demand): April 11, 2018 – Operational Excellence May 9, 2018 – Reliability June 21, 2018 – Security July 19, 2018 – Cost Optimization August 15, 2018 – Performance Efficiency The next webinar, hosted by Reliam’s Chief Technology Officer Jonathan LaCour, is scheduled for July 19. This webinar will investigate the Cost Optimization pillar of the Well-Architected Framework. Attendees should anticipate learning how to: Ensure that your costs move in line with demand. Use appropriate resource types to minimize costs. Analyze and attribute costs. Reduce costs over time. Can’t make it to the webinar? No worries, each webinar is recorded and will be emailed to all registrants after the event. To register click here.

https://register.gotowebinar.com/register/2497339843465750275?source=theregister_article_cost

https://www-theregister-co-uk.cdn.ampproject.org/v/s/www.theregister.co.uk/AMP/2018/07/12/aws_best_practices_webinar_series_cost_optimization/?amp_js_v=a2&amp_gsa=1#amp_tf=From%20%251%24s&ampshare=https%3A%2F%2Fwww.theregister.co.uk%2F2018%2F07%2F12%2Faws_best_practices_webinar_series_cost_optimization%2F

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