Driven by increased adoption of services-based computing, virtualization technologies, and mixed private and public cloud computing, enterprise datacenter applications are evolving from static and monolithic to dynamic, distributed, and multitiered. With this new application model come new operating challenges.
As organizations become increasingly reliant on integrated data center applications, deploying these applications is becoming a key business priority and a formidable operational challenge for IT teams. Responsibility for these applications – from managing release cycles to servicing lifecycles – is shifting to datacenter operations.
Traditionally, application release and deployment tasks have been performed manually, or semi-manually based on scripting. However, due to the complexity of multi-tier applications, the growing number of application environments and dependencies, and the sheer volume of operational tasks, manual approaches have become increasingly error-prone. As a result, application release and deployment tasks are resulting in delays, configuration errors, and release failures that undermine application reliability. Furthermore, this tedious manual work may result in increased operating and maintenance costs.
To address these challenges, a new application service model is needed to automate and orchestrate routine and emergency application tasks. These solutions should help IT operation teams execute and manage application service tasks and build reliable processes across application silos and the entire datacenter application lifecycle.
–
Read the rest of this IDC White Paper on www.noliosoft.com
application service automation