Massive changes are occurring to how applications are built and how they are deployed and run. The benefits of these changes are dramatically increased responsiveness to the business (business agility), increased operational flexibility, and reduced operating costs.
The environments onto which these applications are deployed are also undergoing a fundamental change. Virtualized environments offer increased operational agility which translates into a more responsive IT Operations organization. Cloud Computing offers applications owners a complete out-sourced alternative to internal data center execution environments. IT organizations are in turn responding to public cloud with IT as a Service (IaaS) initiatives.
For applications running in virtualized, distributed and shared environments, it will no longer work to infer the “performance” of an application by looking at various resource utilization statistics. Rather it will become essential to define application performance as response time – and to directly measure the response time and throughput of every application in production. This paper makes the case for how application performance management for virtualized and cloud based environments needs to be modernized to suit these new environments.
Virtually every area of human endeavour that involves the use of shared resources relies on a reservation system to manage the booking of these assets. Hotels, airlines, rental companies and even the smallest of restaurants rely on reservation systems to optimize the use of their assets and balance customer satisfaction with profitability. Or, as economists would say, strike a balance between supply and demand.
So how can a modern IT environment expect to operate effectively without having a functioning capacity reservation system? The simple answer is that it can't. With the rise of cloud computing, where resources are shared on a larger scale and capacity is commoditized, modeling future bookings and proper forecasting of demand is critical to the survival of IT. Not having proper systems in place leaves forecasting to trending and guesswork - a dangerous proposition that usually results in over-provisioning and excessive capacity.
Download this paper to learn how to manage the demand pipeline for new workload placements in order to improve the accuracy of capacity forecasting and increase agility in response to new workload placement requests.
This is not a paper on disk defrag. Although conceptually similar, it describes an entirely new approach to server optimization that performs a similar operation on the compute, memory and IO capacity of entire virtual and cloud environments.
Capacity defragmentation is a concept that is becoming increasingly important in the management of modern data centers. As virtualization increases its penetration into production environments, and as public and private clouds move to the forefront of the IT mindset, the ability to leverage this newly-found agility while at the same driving high efficiency (and low risk) is a real game changer. This white paper outlines how managers of IT environments make the transition from old-school capacity management to new-school efficiency management.
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike. However, these benefits don’t come without challenges.
In this whitepaper you will learn:• The challenges in implementing an effective hybrid cloud• How key vendors are addressing their challenges• How to answer what, when and where to burst
A recent IDC survey of small and medium-sized business (SMB) users revealed that 67% have a recovery time requirement of less than four hours, and 31% have a recovery time requirement of less than two hours. Additionally, IDC estimates that as many as half of all organizations have insufficient business continuity and disaster recovery plans to meet business requirements, or to even survive a disaster.
Although business continuity is perhaps the top use case for cloud computing, simply focusing on this one use limits the broad potential of cloud, especially in a hybrid cloud context.
This whitepaper provides an overview of Citrix AppDNA with Liquidware Labs FlexApp.
now the most common data replication technologies and methods essential
to mission-critical BC/DR initiatives have been tied to the physical
environment. Although they do work in the virtual environment, they
aren’t optimized for it. With the introduction of hypervisor-based
replication, Zerto elevates BC/DR up the infrastructure stack where it
belongs: in the virtualization layer.
Benefits of Hypervisor-Based Replication:
Zerto Offsite Backup in the Cloud
What is Offsite Backup?
Backup is a new paradigm in data protection that combines
hypervisor-based replication with longer retention. This greatly
simplifies data protection for IT organizations. The ability to leverage
the data at the disaster recovery target site or in the cloud for VM
backup eliminates the impact on production workloads.
Why Cloud Backup?
Can mission-critical apps really be protected in the cloud?
Introducing: Cloud Disaster Recovery
enterprises of all sizes are virtualizing their mission-critical
applications, either within their own data center, or with an external
cloud vendor. One key driver is to leverage the flexibility and agility
virtualization offers to increase availability, business continuity and
the cloud becoming more of an option, enterprises of all sizes are
looking for the cloud, be it public, hybrid or private, to become part
of their BC/DR solution. However, these options do not always exist.
Virtualization has created the opportunity, but there is still a
significant technology gap. Mission-critical applications can be
effectively virtualized and managed; however, the corresponding data
cannot be effectively protected in a cloud environment.
Additional Challenges for Enterprises with the Cloud:
Solutions with Zerto Virtual Replication:
Protect Applications, Not Data
How-to Guide: Application Protection and Recovery for VMware
organizations are considering a business continuity/disaster recovery
(BC/DR) solution, they need to look for a solution that not only
protects and recovers the data, but also protects and recovers the
application. Virtualized applications typically span multiple VMs and
are more complex in terms of dependencies and infrastructure. They
require recovery with write-order fidelity, something most replications
solutions do not supply
Zerto Application Protection Features: