This white paper examines why unified IT monitoring is an important enabling technology for both enterprises and management service providers, including both the organizational and strategic impacts as well as the business case surrounding it. It goes further to examine CA Unified Infrastructure Management as an example of unified IT monitoring, and reviews three case studies where the solution has been deployed for active use in a unified manner.
Published By: Riverbed
Published Date: Jul 17, 2013
Enterprises are rapidly adopting virtualization for dynamic service delivery and service management agility. IT challenges already exist in virtual environments and will only be exacerbated with the higher adoption of virtualization. The ability to proactively monitor traffic within these environments is critical for enabling predictable and reliable delivery of applications and for troubleshooting diverse IT infrastructures. Read this white paper to learn more.
Quality of service (QoS) is a critical enabling technology for enterprises and service providers wanting to deliver consistent primary storage performance to business-critical applications in a multi-tenant or enterprise infrastructure. The type of applications that require primary storage services typically demand greater levels of performance than what is readily available from traditional storage infrastructures today. However, simply providing raw performance is often not the only objective in these use cases. For a broad range of business-critical applications, consistent and predictable performance are the more important metrics. Unfortunately, neither is easily achievable within traditional storage arrays.
These challenges stem from an increased focus on agility and scale for building modern applications—and traditional application development methodology cannot support this environment.
CA Technologies has expanded full lifecycle API management to include microservices—an integration enabling the best of breeds to work together to provide the platform for modern architectures and a secure environment for agility and scale. CA enables enterprises to use best practices and industry–leading technology to accelerate and make the process of architecture modernization more practical.
Understanding, managing and containing risk has become a critical factor for many organizations
as they plot their hybrid architecture strategy. Access by an expanding array of privileged identities
looms large as a risk concern once organizations look beyond tactically using cloud services for cost
and agility efficiencies. Existing approaches developed for static infrastructure can address initial
risk concerns, but fall short in providing consistent policy enforcement and continuous visibility for
dynamic, distributed infrastructure.
Multiple elements factor into how effectively an enterprise can embrace automation and advance the maturity of their transformation. However, security tools are central to enabling a structured and measured approach to managing critical access risks at each stage of the maturity model journey. With the right privileged access platform and set of tools, enterprises can progressively automate and scale access management to align risk
Published By: Turbonomic
Published Date: Jul 05, 2018
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.
Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model.
With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency?
In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how to iden
Hyperconverged Infrastructure is clearly the future of the data centre - enabling enterprises to drive IT modernisation to help manufacturing companies continuously innovate in an ever-changing, rapidly evolving, technology-led environment.
The combination of reliable data centre hardware from Lenovo and powerful platform from Nutanix creates a compelling offering for enterprises to intelligently transform their IT infrastructure.
Read how hyperconverged Infrastructure can help drive Intelligent transformation in manufacturing in this story by Mashable India.
A significant challenge for many organizations has been enabling their analysts to find the "unknown
unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in
fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime.
IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional
visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective
early-detection, cyberintelligence weapon for its arsenal.
IDC’s research shows enterprises around the world are using multicloud strategies
to optimize the performance of modern and existing legacy applications running
on-premises, in public cloud services, and on legacy systems. In the early days of
enterprise cloud adoption, many organizations focused their cloud strategies on
enabling net-new cloud-native applications written to take advantage of dynamic cloud
infrastructure and pay-as-you-go consumption-based cost models. Early success with
these implementations is convincing more and more enterprises to expand their cloud
footprint and to migrate existing applications to cloud in order to enhance end-user
experiences, optimize cloud resource utilization and costs, and create a more flexible
and agile business environment.
Digital transformation initiatives and the need for innovation are causing enterprises to rethink their IT landscapes including business-to-business (B2B) integration. Modern B2B integration is critical for enabling enterprises to achieve goals like increasing revenue, speeding up time to market, and improving efficiencies because these outcomes are dependent on having a successful business network. B2B practitioners have two goals — enable critical business initiatives and control costs — and cloud-based B2B services have been successful in helping enterprises achieve both goals.
IDC interviewed eight IBM clients to understand how their use of IBM Sterling B2B Integration Services, part of the IBM B2B Cloud Services portfolio, has impacted their operations and businesses.
Download now to learn more!
Published By: Teradata
Published Date: May 01, 2015
Creating value in your enterprise undoubtedly creates competitive advantage. Making sense of the data that is pouring into the data lake, accelerating the value of the data, and being able to manage that data effectively is a game-changer. Michael Lang explores how to achieve this success in “Data Preparation in the Hadoop Data Lake.”
Enterprises experiencing success with data preparation acknowledge its three essential competencies: structuring, exploring, and transforming. Teradata Loom offers a new approach by enabling enterprises to get value from the data lake with an interactive method for preparing big data incrementally and iteratively.
As the first complete data management solution for Hadoop, Teradata Loom enables enterprises to benefit from better and faster insights from a continuous data science workflow, improving productivity and business value.
To learn more about how Teradata Loom can help improve productivity in the Hadoop Data Lake, download this report now.
Innovative data-driven strategies are enabling organizations to connect with customers and increase operational efficiency as never before. These new initiatives are built on a multitude of applications, such as big-data analytics, supply chain, and factory automation. On average, organizations are now 53% digital as they create new ways of operating and growing their businesses, according to the Computerworld 2017 Forecast Study.
As part of this transformation, enterprises rely increasingly on multivendor, multicloud environments that mix on-premise, private, and public cloud services and workloads. This shift is causing enterprises to increase network capacity; 55% of enterprises in the Computerworld study expect to add network bandwidth in the next 12 months.
If your business is like many other
organizations that are in the process of
enabling a Microsoft Azure public cloud
platform, then you might be struggling
with the guardrails needed to secure
and manage cost, while at the same
time enabling flexibility for the teams
consuming cloud services.
While the Azure platform is already
very secure, it also allows a great deal
of flexibility in configuration. In order
to avoid accidentally creating security
holes and out-of-control spend, a
Governance Framework is required. We
created the AHEAD Azure Governance
framework to allow enterprises to
develop and maintain a fully optimized,
and secure environment. The resulting
framework will be tailored to your
organization’s specific business and
compliance needs, as every enterprise
is different. This guide will introduce you
to the components of this necessary
Azure Foundational Governance Design.
With the cloud transforming application development and deployment—enabling organizations to improve flexibility, automate processes, and decrease time to market—some big questions remain. One of the most important issues an organization must address is how it can best employ the smarter tools and limitless scale that the cloud offers. One way that enterprises take advantage of the benefits of the cloud is by deploying their own private cloud, which is a computing
model that fosters agility while allowing organizations to maintain control of their infrastructure, while better securing their
applications and their data.
This IDC Vendor Profile analyzes Box, a company playing in the public cloud advanced storage services market and the content management and collaboration market, and reviews key success factors, highlighting market information tailored to investment.
Despite the array of new technologies enabling customer contact across web and mobile channels, most serious interactions still have to pass through an agent in order to be resolved. Enterprises can push customers toward self-service, but in the end, people often still need to talk to other people. This means that, even in the best of circumstances, the customer experience is highly dependent on the capabilities of the agent manning the phones. That person needs more than skills and a beneficial temperament; they require a software environment that provides maximum space for flexibility, problem solving, and intuitive task switching.
Published By: VMTurbo
Published Date: Feb 11, 2014
These new software-defined capabilities, enabling enterprises and service providers bridge the gap between software-defined flexibility and the true business potential of the Software-Defined Datacenter.
Published By: VMTurbo
Published Date: Mar 25, 2015
In this paper, we outline the need for “Software-Driven Control” – the intelligence or “control plane” that can take advantage of these new software-defined capabilities, enabling enterprises and service providers to bridge the gap between software-defined flexibility and the true business potential of the Software-Defined Datacenter.
The Internet of Things (IoT) is composed of sensor-embedded devices and machines
that exchange data with each other and the cloud through a secure network.
Often referred to as “things” or “edge devices”, these intelligent machines
connect to the internet either directly or through an IoT gateway,
enabling them to send data to the cloud. Analyzing this data can reveal
valuable insights about these objects and the business processes
they’re part of, helping enterprises optimize their operations.
Devices in IoT deployments can span nearly any industry or use case.
Each one is equipped with sensors, processing power, connectivity,
and software, enabling asset control and other remote interactions
over the internet. Unlike traditional IT assets, these edge devices are
resource-constrained (either by bandwidth, storage, or processing
power) and are typically found outside of a data center, creating unique
security and management considerations.
Published By: Accelops
Published Date: Nov 05, 2012
Read this white paper to learn how the combination of discovery, data aggregation, correlation, out-of-the-box analytics, data management, and reporting can yield a single pane of glass into data center and IT operations and services.
Published By: Riverbed
Published Date: Sep 05, 2014
Enterprises have been using Cascade® products from Riverbed Technology for many years to discover, monitor and troubleshoot their physical network and application infrastructure. Cascade network performance management (NPM) solution offers a rich set of functionality to understand network and application performance in the context of end-user experience, and to uncover problems in an organization’s physical infrastructure. With enterprises aggressively embracing virtualization, this sea change has brought new visibility gaps in IT infrastructure.