The enterprise is anxious to automate as much of its data ecosystem as possible, starting with the cloud. But is automation the best solution for every challenge, and if not, how can enterprise executives determine what should be automated and what should remain under human control?
According to tech journalist Bill Kleyman, cloud automation is one of the key drivers of business innovation. Many organizations have found, in fact, that while the cloud alone is useful in overcoming the challenges of traditional infrastructure – things like lack of scale, poor resource utilization, and the prevalence of data silos – problems such as resource management, visibility and cost control persist. Automating management tasks and orchestrating the relationships between resources and workloads can alleviate these issues, plus it accelerates IT management to speeds required of the modern digital economy. So in the end, the enterprise becomes more agile and more responsive to the needs of its users.
A number of platforms have emerged in recent months promising to deliver these results for cloud-facing enterprises. CloudVelox recently updated its One Hybrid Cloud stack that aims to streamline workload mobility across internal and external resources. The system provides a new set of optimization tools, such as application-centric instance tagging, multiple security groups and role-based identity and access management (IMA), plus new system reporting and alert functions to verify successful migrations to the cloud. Additional features, due later this year, are expected to provide autoscaling and elastic load-balancing (ELB) across multiple instances.