Dynamic organizations often need to deploy tens to hundreds of similar systems to quickly replicate IT infrastructure and increase capacity. An automated approach to deployment, monitoring and management can help IT efficiently keep their IT infrastructure in-sync with business needs.
Dynamic organizations are continually challenged to keep their IT infrastructure in-sync with their business needs. Applications change often, new technologies must be addressed, and a continual stream of new software and hardware requires efficient deployment, monitoring and management.
In faster growing Internet business segments, like e-commerce, online travel, and digital media, organizations need elasticity in order to scale quickly and predictably in response to growth or volume-related increases in their capacity needs. In the retail industry, for example, seasonal demands require a dramatic increase in capacity that shrinks at other times of the year. These organizations may need to deploy tens to hundreds of similar systems to quickly replicate infrastructure and increase capacity, then decommission or retire these resources when application demand subsides. Ideally, dynamic organizations need to be capable of adjusting their resource capacity in an on-demand, automated fashion whenever needed. The most agile organizations can anticipate bottlenecks and react quickly to demands.
Organizations must be able to effectively prepare for and react to challenges as they arise and utilize their existing resources efficiently to stay competitive in a fast-paced marketplace. Does your organization have the processes, resources, tools and expertise to address the myriad of challenges required to build and manage an ever changing IT infrastructure?
The term “New Normal” was coined to describe the financial conditions that emerged during the global recession which followed the 2007 - 2008 financial crisis.
With data center operations, equipment maintenance and software licenses consuming an excessive portion of IT budgets - companies have much to gain by optimizing their current operations.
Customers and internal users alike expect quick, dependable access to both online sites and internal applications, and network issues can negatively impact customer satisfaction, brand reputation, and revenue.
Making decisions using data that is pieced together through a combination of spreadsheets, data exports, and email messages doesn’t provide project teams with a comprehensive understanding of compliance, security and other business requirements. That’s why TDS enhanced its rules engine, making it easy to write simple scripts that apply business rules to data, ensuring that the results will be aligned with business goals.
We continue to evolve TransitionManager’s capabilities, focusing first on what problem we are trying to solve for the customer. For enterprise architects and cloud professionals, finding the right information and leveraging the variety of tools available to plan and manage IT transformation projects is challenging and complex.
Transitional Data Services (TDS), a global leader in modernizations, and cloud and data center migrations, today announced TransitionManager 6.0. The new release includes enhancements to further automate complex hybrid cloud planning, decision-making, transformation, and migration. Together they enable customers to rapidly respond to cloud adoption, cyber preparedness, disaster recovery and digital transformation strategies.