Intelligent Capacity Optimization for Hybrid IT Infrastructures
Ensuring an organization has the computing capacity it requires to be successful today – without blowing the IT budget building excess capacity – is a daunting task. Modern markets move at hyperspeed, and companies that don’t become agile don’t survive. For the IT department, agility means constant change, and technology services providers have responded to their needs with the development of complex hybrid computing solutions designed to provide the company with complete IT flexibility without sacrificing performance or reliability. The complex systems can include physical, virtual, and/or cloud-based resources, and it’s common to find business critical applications residing anywhere across the environment.
Optimizing the capacity of hybrid infrastructures is difficult because the decision data exists in separate stovepipes across those disparate systems. System metrics and constraints, such as Compute, Storage, Network, Power, and Location must be extracted to a single data store from the heterogeneous physical, virtual and cloud environments for analysis, trending and forecasting. IT managers can spend hours collecting data from those systems and assimilating them into a unified spreadsheet from which management reports can be produced.
Sentilla elevates capacity planning and optimization to the next level with continuous capture of the decision metrics from all physical assets and software layers. Data is stored in Sentilla’s easy-to-use, IT-centric analytics architecture where it can be quickly and accurately analyzed to produce trend and forecast reports. Sentilla also maps system resources to their business context so it is easy to assess the cost and performance of the resource and relate KPIs to business tenants, applications, and services across the enterprise environment. A what-if scenario builder allows managers to simulate the different options for planned migrations or workload deployments to ensure the best strategy is executed.
Sentilla is easy to install, configure, and deploy. The solution suite includes agent-less, plug-and-play connectors to thousands of asset types, such as physical, virtual, or cloud environments, system software, and enterprise management applications, and can accommodate legacy and custom-built applications.
IT organizations struggling to achieve mandated SLAs will find Sentilla lets them easily accelerate workload deployments and effectively restrain and manage spiraling infrastructure costs. In minutes, rather than days or weeks, operations managers can analyze comprehensive historical data, identify performance patterns, trend the consumption of resources, and forecast future performance levels across a number of metrics for Computer, Storage, Network, Power, Location, and more. Sentilla produces the decision data IT managers need to optimize capacity, such as analysis for seasonality, peak demand, and maximum/minimum utilization. All relevant statistics are easily visualized – IT staff access accurate, current data to make better, more informed decisions.
Identifying impediments to performance is easy with Sentilla. Managers quickly pinpoint underutilized resources and can easily understand which metrics indicate the real constraints to performance. IT resources are all mapped by Sentilla to business tenants, applications, and services so that staff can easily understand the impact of planned changes and work hand-in-hand with business partners to resolve those issues.
The Sentilla what-if scenario builder makes it simple to evaluate the cost, capacity, and impact to performance of different deployment models, such as private cloud, public cloud, or virtual clustering, so that the best architecture for your requirements can be determined.