Topic: cloud

Amazon Web Services goes under the microscope at Cloud DevCon

In June, cloud developers will gather to share what they’ve learned and what more they can gain from cloud computing … continue reading

Red Hat releases OpenShift Enterprise 2

Private platform-as-a-Service addresses DevOps while forming foundation for company’s xPaaS vision … continue reading

Isis2: A new open platform for data replication in the cloud

Ken Birman describes his updated version of Isis and how it was upgraded for the modern world … continue reading

SD Times Blog: Google’s $10 method for scaling apps from zero to a million requests per second

Google Cloud Platform services simplifies cloud app scaling using Compute Engine Load Balancing … continue reading

Pivotal puts an enterprise PaaS in new offering

VMware spinoff is working on simple packaged versions of complex enterprise development environments … continue reading

Zeichick’s Take: Cloud storage is more than hot air

The quality of cloud hardware keeps rising, but when will the price rise with it? … continue reading

Analyst Watch: Mobile is growing, but the Web still rules

Forrester shares findings on mobile development, cloud and HTML trends … continue reading

Life in the PaaSLane: Making your apps ready for the cloud

Migrating apps out of data centers and into the cloud surely won’t make you lose your mind … continue reading

Believe it or not, public clouds are more secure than private clouds

The maintenance that goes into public clouds makes them more reliable and harder to compromise … continue reading

Zeichick’s Take: Twelve things to consider before moving your data to the cloud

Any potential cloud deployment must have an answer for these questions … continue reading

SaaS backwards: On-prem data utilized in a cloud interface

There is a way to get your on-premise data to work with the cloud, but beware of these three pitfalls … continue reading

Big Data in the cloud: Making M2M analytics a reality

The confluence of these two technologies means that large amounts of data can be analyzed at lower cost … continue reading

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