Use Machine Learning to Manage Multi-Cloud Environments
With the accelerated adoption of public cloud, hybrid applications often use infrastructure resources from one or more cloud providers, along with on-premises resources.
Attend this webinar and 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
-How you can gain visibility of hybrid applications and multi-cloud environments through a single view
E-book: Leverage artificial intelligence to run your IT infrastructure (https://www.bmc.com/forms/elevate-it-operations-ai-ops-ebook.html)
Park Place Leverages TrueSight AIOps Platform for Proactive Monitoring (https://www.youtube.com/watch?v=jnFwXi4nYVk&feature=youtu.be)
See how TrueSight tackles Multi-cloud (http://documents.bmc.com/products/documents/25/84/492584/492584.pdf)
ESG’s take on application-centric and service-centric systems management (https://www.bmc.com/forms/esg-report-meet-the-challenges-of-multi-cloud-world.html)
Infographic: How Multi-cloud is changing performance management (http://media.cms.bmc.com/documents/ESG+Infographic_BMC_August+2017.pdf)
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