This IDC vendor profile analyzes Cirba’s Software-Defined Infrastructure Control with workload aware predictive analytics.
“Customers interviewed by IDC credit Cirba with helping them substantially reduce infrastructure and software licensing costs by improving the density of their environments without compromising application and workload performance.”
The storage market is noisy. On the surface, storage providers tout all flash, more models and real-time analytics. But under the covers lies a dirty little secret—their operating systems (the foundation of storage) are all the same… built on LUNs and volumes.
But now a new category of storage has emerged—with operating systems built on virtual machines, and specifically attuned to virtualization cloud. It’s called VM-aware storage (VAS), and if you’ve got a large virtual footprint, it’s something you need to explore further. Fortunately this guide offers you (the Visionary) a closer look at VAS and the chance to see storage differently.
While many storage products wear the VM-aware label, it doesn’t take much to assess its authenticity. If the product’s architecture is still built on a foundation of LUNs and volumes, it can never be fully VM-aware.
Truly VM-aware storage is built specifically for virtualized applications. It provides you visibility across your infrastructure, control over performance and complete analytics at the VM level. If your data center is experiencing pain—poor performance, complex management and cost over-runs—you can’t solve it with all-flash or hyperconverged alone. Only VAS can help you see storage differently.
ESG Lab Spotlight evaluates the power of SIOS iQ Machine Learning and Flashsoft software to enable companies to improve application performance through easy, cost-efficient host based caching with solid-state storage devices (SSDs).by reducing storage bottlenecks, speeding application performance, and minimizing latency. However, the challenge for many organizations, especially since many SSDs are still more expensive than HDDs, is to know when and where to apply SSDs to both maximize performance and minimize costs. This lab report evaluates the SIOS iQ IT Analytics and SanDisk FlashSoft, ioMemory, and SSDs. SIOS iQ, a machine learning analytics platform for optimizing VMware environments, identifies which virtual machines will benefit most from host-based caching and recommends the configuration that will provide the best results. FlashSoft host-based caching software leverages SanDisk Fusion ioMemory PCIe application accelerators, SanDisk Lightning, Optimus, and CloudSpeed SSDs, or any other solid-state storage device, to reduce latency and improve throughput in read-intensive virtual and physical server workloads.
ESG Lab used a simulated enterprise IT infrastructure to validate how organizations can use the SIOS iQ analytics platform to identify applications that could be accelerated with host-based caching software, recommend an optimal cache configuration, and predict the resulting storage performance if caching were configured as recommended.
SIOS iQ is the first solution designed from the ground up to automate the intelligence of IT operations and simplify the optimization of critical application operations in VMware environments. SIOS iQ is an advanced analytics platform that applies patented machine learning technology actionable analysis, insights and problem-solving recommendations. Learn how SIOS iQ can help you identify wasted VMware resources (idle VMs, unneeded snapshot); find and resolve root causes of performance issues, and make informed decisions about implementing and configuring storage acceleration (host based caching with SSDs, all-flash arrays, and hybrid storage).
LUNs, volumes, RAID, striping and more have nothing to do
with the virtual machines and applications that run your business, and only
result in storage performance issues and management complexity. Tintri lets you
manage what matters: individual virtual machines. With the announcement of VM
Scale-out and analytics, Tintri provides virtualization scale-out technology
that makes it possible to focus on managing individual VMs instead of storage.
This paper illustrates how Tintri’s per-VM management tools
work together with predictive analytics and VM Scale-out technology to make it
possible to scale out storage while utilizing the management simplicity that is
designed into each Tintri VMstore.
Tintri Analytics is designed from the ground up to support
resource planning. And like everything that Tintri does, Tintri Analytics is
VM-aware, which provides the critical link between storage metrics, VMs and
applications. Having the ability to ask “what-if” questions and see answers in
real time greatly simplifies resource planning.
This paper explains how you can use Tintri Analytics to
answer important resource planning questions:
Oracle database sprawl comes with significant costs and complexity for businesses. It results from the proliferation of database copies whether they are created for disaster recovery, development and testing infrastructure provisioning, quality assurance (QA), or DevOps in private or hybrid clouds, to name a few.
Catalogic Software’s ECX Copy Data Management platform deployed in conjunction with the Pure Storage FlashArray, allows businesses to manage, orchestrate and analyze Copy Data. The solution provides full lifecycle management of your Copy Data through automated workflows that allow you to streamline the creation, management and use of Oracle database copies to keep the overall cost and complexity under control.
The virtualization of physical computers has become the backbone of public and private cloud computing from desktops to data centers, enabling organizations to optimize hardware utilization, enhance security, support multi-tenancy and more. These environments are complex and ephemeral, creating requirements and challenges beyond the capability of traditional monitoring tools that were originally designed for static physical environments. But modern solutions exist, and can bring your virtual environment to new levels of efficiency, performance and scale.
This guide explains the pervasiveness of virtualized environments in modern data centers, the demand these environments create for more robust monitoring and analytics solutions, and the keys to getting the most out of virtualization deployments.
TABLE OF CONTENTS
· History and Expansion of Virtualized Environments
· Monitoring Virtual Environments
· Approaches to Monitoring
· Why Effective Virtualization Monitoring Matters
· A Unified Approach to Monitoring Virtualized Environments
· 5 Key Capabilities for Virtualization Monitoring
o Real-Time Awareness
o Rapid Root-Cause Analytics
o End-to-End Visibility
o Complete Flexibility
o Hypervisor Agnosticism
· Evaluating a Monitoring Solution
o Unified View
o CMDB Support
o Converged Infrastructure
· Zenoss for Virtualization Monitoring