Logblog: Podcast: IT systems analytics become more crucial as cloud and SaaS adoption raises complexity bar

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Podcast: IT systems analytics become more crucial as cloud and SaaS adoption raises complexity bar

Read a full transcript of the discussion. Find it on iTunes/iPod.
Software-as-a-service (SaaS) and cloud computing are changing the nature of IT systems’ performance requirements and heightening expectations for end users from online applications and services.

Increasingly, an extended level of visibility, management, and performance will apply to those serving up applications as services, regardless of their hosting origins or models. The more the apps and services fulfill a need, the more the users will expect even better results and performance.

In other words, the more these organizations succeed, the more they need to scale, leverage virtualization and cloud infrastructure methods, embark of service oriented architecture (SOA) and then keep all the trains running fast and on time. Using the latest tools and analytics — the equivalent of business intelligence (BI) for IT — on the systems and across the gathering complexity becomes essential.

To learn more about how systems log tools and analysis are aiding providers of cloud and SaaS, I recently spoke with fellow blogger Phil Wainewright, an independent analyst and director at Procullux Ventures, and SaaS blogger at ZDNet and ebizQ, as well as with Jian Zhen, senior director of product management at LogLogic.