Technology and application trends such as Big Data, storage and server growth, mobile applications, bring-your-own device (BYOD) and social media are the biggest disrupters of Enterprise IT today. The resultant pressure on IT organizations is to deliver 24x7 "dial-tone" service levels that align with business demands for availability and performance while remaining ever-agile to meet continually evolving application and business requirements.
The benefits of datacenter consolidation are being realized by more and more companies and seen as a way to streamline many storage-driven applications. Virtual Instruments develops optimization solutions for managing the growth and design of the physical layer.
It's no secret that cloud computing is enabled by advancements in virtualization, and with all the benefits of virtualization come some challenges. There's a new class of tools out there designed to work with, and optimize the 'virtual infrastructure', the building block of cloud computing, and with those tools come some new IT best practices.
Taneja Group conducted in-‐depth telephone interviews with six Virtual Instruments (VI) customers. The customers represented enterprises from different industry verticals. The interviews took place over a 3-‐month period in late 2012 and early 2013. We were pursuing user insights into how VI is bringing new levels of performance monitoring and troubleshooting to customers running large virtualized server and storage infrastructures.
People like to talk about change and all of the problems that change brings, but when it comes to managing the performance of business critical applications and systems, the reality is that the current state is broken. The problems with the current state are two-fold. Once, while many enterprises have hundreds or even thousands of business critical and performance critical applications few of these applications are being instrumented for the response time that they are delivering to their end users. The second problem is that the tools that are being used to manage the infrastructure that supports these applications do not provide a real-time, deterministic, and comprehensive picture into the performance (latency) that the infrastructure is delivering to these workloads.
Whether migrating to a new data center, upgrading a SAN or deploying new storage arrays, an Oracle migration project is never trivial. Virtual Instruments reduces the risks of storage migration, helping organizations find and correct potential problems before the migration and trouble-shooting problems quickly to keep migrations on schedule.
The primary objective of the IT department is to support the growth and smooth operation of the business unit or of the entire organization. This implies that IT must ensure new applications are rolled out quickly and reliably, applications are up and available to users, and that application response times to the users are acceptable. IT has to accomplish this with as low a budget as possible with the fewest number of people possible; they have to be productive and efficient. The mantra of "do more with less" can be heard in nearly every datacenter operation around the globe.
Maintaining peak performance while simultaneously addressing the root cause of Brocade Fabric errors is challenging. This paper presents a high level summary of the most common Brocade Fabric problems and explores new ways to dramatically improve application performance and availability. Most of the examples and diagrams herein equally apply to other vendors’ fabrics, and we even use other fabric devices for illustrative purposes.
It seems that every company is planning to build a new data center over the next year or two. They claim to be running out of floor space and/or power to run, cool and support the hundreds or thousands of servers housing petabytes of data in their new virtualized IT infrastructures.
Virtual Instruments offers an Infrastructure Optimization solution that holistically assesses the entire physical, virtual, and private cloud infrastructure, and provides the IT staff with the data necessary to make intelligent decisions about capacity, utilization, and performance for every layer of the I/O infrastructure – from the host to the storage.