IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs.
Download “The Essential Guide to Infrastructure Machine Data” for:
The benefits of machine data for network, remote, web, cloud and server monitoring
IT infrastructure monitoring data sources to include in your machine data platform
Machine data best practices
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential.
Download this white paper to learn:
*How organizations can answer critical questions that have been impeding business success
*How the financial services industry can make great strides in security, compliance and IT
*Common machine data sources in financial services firms
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers.
For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy.
Download this report to learn:
How to reduce monitoring blind spots when creating an ITOM strategy
How to address ITOM requirements across IT and non-IT groups
Distinct layers across ITOM Potential functionality gaps with domain-specific products
Intelligent file virtualization helps resolves the dilemma of managing and storing an ever increasing amount of information. This white paper introduces the F5 ARX intelligent file virtualization solution. It also discusses the key applications and benefits of this innovative technology.
New ways of working call for new ways of managing risk. Mobility, flexwork, bring-your-own device (BYOD) and increased collaboration across organizations have changed the risk profile and undermine existing IT architectures. The challenge is to allow people the flexibility they need for optimal business productivity while ensuring the security and compliance required by the enterprise. This paper describes how desktop virtualization can help regain control and reduce risk without sacrificing business productivity and growth.
In this Solution Profile, we will concentrate on the importance of optimizing data protection for evolving virtual networks, and on working with a trusted partner. Virtualization technology works across all sizes of business to reduce costs, control management overhead, and increase flexibility. However, virtualization also requires that companies adapt their traditional backup and data protection practices to suit the rapidly changing virtualization infrastructure.
The workplace is changing rapidly to accommodate mobile and flexible work styles, as employees expect the same computing experience when working remotely as they get in the office. And those expectations are rising rapidly among all employees — not just in the executive hallways or engineering labs. To discover more about mobile work styles and client virtualization trends in today’s enterprises, Citrix Systems and HP commissioned Forrester Consulting to survey IT decision-makers in North America, Europe, and Asia for this Technology Adoption Profile (TAP). Coupled with Forrester’s existing Forrsights data, we found that IT is turning to client virtualization to manage the growing complexity that BYOD programs and mobility initiatives have created and is embracing end-to-end solutions to overcome the toughest client virtualization challenges concerning cost, performance, scalability, and security.