Boundary Brings Big Data to AWS With More Cloud Transparency

Boundary updated its cloud monitoring service this morning with new features that can detect technical difficulties and pending application issues using the power of analytics.

The update includes a “proactive alerting” capability that tracks app behavior and sends out a warning as soon as something breaks the pattern.  This supplements the second new feature that Boundary is introducing today: a data store that allows you to stash historical information about your deployment.

The latter platform comes with a visualized panel that allows the user to select and view individual time slices. Boundary automatically compares performance from a selected period with real-time data from your infrastructure, a handy feature for results-driven admins to have.

“Applications hosted in the public cloud – even more than traditional infrastructures – require constant and vigilant monitoring,” said Gary Read, CEO at Boundary.  “But because the public cloud is dynamic in nature and does not expose critical items such as topology, traditional solutions are typically out of date and too late in reporting problems.”

There seems to be very little in the way of hype coming from the direction of Boundary, at least as far as the sales pitch goes. The company picked up on month’s AWS outage  two hours before it actually occurred, and forecasted an Azure blackout a full 15 hours before Microsoft notified its users.

Boundary is fairly new to the cloud scene. The startup launched its product in April and only has about 60 paying customers today, but this number is steadily growing.

Garantia Data, another up-and-coming analytics firm, also had a big cloud update this week. The firm extended its enterprise-grade Redis fork with add-ons for three major PaaS services including Heroku, AppFog and AppHarbor.

About Maria Deutscher

Maria Deutscher is a staff writer for SiliconAngle covering the enterprise cloud space. If you have a story idea or news tip, please send it to @SiliconAngle on Twitter.