Thomas Bryant is a Product Line Marketing Manager in the Cloud Management Business unit at VMware. His primary focus is on analysis of vendors in Cloud Management and Performance Monitoring spaces. With over 15 years experience in technology, Thomas has a broad-based background including holding key industry certifications & recognitions from VMware, Microsoft and Citrix. He has been recognized multiple times by VMware as a vExpert. He also enjoys reading, writing and arithmetic.

Recent Posts

Real-time Capacity Management in vRealize Operations 6.7

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With the release of vRealize Operations 6.7 there are some fundamental changes to the way we look at capacity management. These came about because customers are more and more looking at real-time capacity management to deal with what is happening now. That is not to say that what we plan for in the future is Read more...

Why Customizing vROPs Is Important for Your Container Strategy

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Two key takeaways from last month’s DockerCon: containers have gone mainstream and system administrators are paying close attention. Long a haven for developers, this year’s DockerCon in Austin hosted more system administrators than I’d ever seen, and they all seemed to be asking one question: We get it that containers are here to stay; how do Read more...
network insight

Setting the record straight on DRS, pDRS and Workload Placement

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A consistent theme in questions from customers have been cropping up lately around VMware DRS (Distributed Resource Scheduler), p(predictive)DRS & workload placement. The questions are related to how DRS & pDRS actually work as well as some misunderstandings around the benefits they bring to customers’ environments. There are several descriptive posts on how DRS & pDRS work, why they were created and Read more...
cloud management challenge

Workload Management: Happiness Matters More Than Perfection

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Happy workloads support great service to the line of business and efficient resource management—in the best scenario, a “win-win” for IT and the business stakeholder. But the pursuit of perfection comes at a cost; hence “perfect” and “optimal” workload placement may look different. In this post we’ll take a look at the hidden costs of Read more...

Why data granularity matters in monitoring

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There are a wide variety of solutions on the market all claim to have various levels of machine learning, adaptive baselines, market driven analytics, learning algorithms etc… By and large they all collect the data the same way, poll vCenter for performance data via real-time APIs and on at the same time or less frequently poll all Read more...