Access your Pro+ Content below.
Cloud systems management the next big challenge for IT pros
This article is part of the Modern Infrastructure issue of June 2017, Vol. 6, No. 6
Companies new to the cloud often cite security as a primary concern, but cloud veterans recognize there are other thorny challenges. Managing performance across heterogeneous platforms and controlling costs can trip up even experienced cloud users. Because fewer businesses question whether they should place corporate information in the public cloud, adoption is growing steadily. Now comes the hard work. There is a great deal of confusion about what the term cloud management means, and chaos reigns supreme. To manage cloud deployments effectively, IT departments need to understand how cloud systems management differs from traditional systems management, sift through a cornucopia of tools coming from a variety of suppliers and choose the right management platform. Public cloud has invaded the data center: 79% of enterprises have at least one public cloud service in production, while 35% have more than four, according to Torsten Volk, managing research director at market research firm Enterprise Management Associates (EMA). Cloud ...
Access this PRO+ Content for Free!
Features in this issue
Container isolation doesn't cut it in production. Instead, beef up security from the infrastructure to the application code, and be prepared to use some new tools to do it.
Major public cloud providers have launched new services for IoT and event-driven computing. Learn what these services will mean to your IT team and for the future of cloud.
Public cloud management tools have come a long way, but cost containment and governance will be the next big hurdles for cloud admins to jump.
Columns in this issue
There's an innovative concept behind the buzzword 'serverless.' Discover the benefits of this emerging architecture and how it delivers the true promises of cloud computing.
Algorithms govern many facets of our lives. But imperfect logic and data sets can make results worse instead of better, so it behooves all of us to think like data scientists.