Use Machine Learning to Manage Multi-Cloud Environments





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Uploaded on Nov 13, 2018

With the accelerated adoption of public cloud, hybrid applications often use infrastructure resources from one or more cloud providers, along with on-premises resources.  Learn about the top challenges for managing multi-cloud and hybrid environments according to a recent study by ESG Research, how you can use machine learning to accelerate the discovery and resolution of performance problems, and how you can gain visibility of hybrid applications and multi-cloud environments through a single view.

Edwin Yuen, ESG Research Analyst
Edwin Yuen covers systems management, PaaS, and DevOps at ESG Research, which includes IT systems management, both traditional on-premises solutions and newer, cloud-based solutions, including automation and orchestration technologies. Edwin has worked with projects such as CloudFoundry, Stackato, and helped bring products such as Softricity/App-V to life.

Scott Penn, BMC Software, Software Engineer
Scott is a principal software engineer at BMC Software, working with the performance and analytic solutions. Scott specializes in performance management of Internet traffic, analyzing behavior and problems with performance, errors and volumes – and quickly isolating, reporting and architecting solutions.

About BMC
BMC helps customers run and reinvent their businesses with open, scalable, and modular solutions to complex IT problems. Bringing both unmatched experience in optimization and limitless passion for innovation to technologies from mainframe to mobile to cloud and beyond, BMC helps more than 10,000 customers worldwide reinvent, grow, and build for the future success of their enterprises, including 92 of the Forbes Global 100.

BMC—the multi-cloud management company. www.bmc.com


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