Published By: Riverbed
Published Date: Jan 25, 2018
To stay ahead in today's hybrid network, you need a lens into the end user's experience as well as an understanding of the dependencies between your applications and network. With this approach, you are alerted to issues before the business is impacted and problems are resolved faster. This eBook details what you need to know to select a best of breed network performance management solution and outlines the critical capabilities required for deep application visibility across virtualized, hybrid and cloud networks no matter where a user is located. Read this book and:
Discover best practices - for proactive network monitoring and fast troubleshooting
Learn how to stay ahead of application performance issues with increased visibility
Increase productivity and a higher ROI - with automatic discovery, end-to-end monitoring, reporting, analytics and faster MTTR
Ensure your approach is a proactive mode
Study the
Published By: Riverbed
Published Date: Jul 17, 2013
To deliver IT performance, you need complete visibility. Riverbed Cascade offers a superior network performance management solution for discovering, monitoring and troubleshooting your network and your critical applications. Now you can resolve performance problems before they impact the business, while lowering your IT management costs. Cascade has an elegant and simple design that deploys easily in complex environments and provides true integration across the Cascade family. This cleaner architecture means superior visibility, management and troubleshooting, saving our customers both capex and opex. According to IDC, Cascade customers typically experience an 83% reduction in mean time to resolution (MTTR)
Published By: BMC Software
Published Date: May 01, 2015
Complex hybrid environments can make it difficult to track interdependencies, increasing the risk of disrupting critical business services. In this research paper by EMA, you’ll learn how application discovery and dependency mapping can help you:
• Meet granular targets for availability, cost, and time-to-revenue for cloud services
• Accelerate mean time to repair (MTTR) while communicating better with stakeholders
• Manage even the most complex hybrid environments more efficiently and effectively
• Understand the impact of proposed changes and potential security risks to guide decision-making
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
CA’s portfolio is designed to drive efficiency from planning through production. A core component of our continuous delivery portfolio is CA Release Automation, a market-leading application release automation solution that delivers full application deployment automation and release coordination across stages, environments and teams. The solution’s analytic capabilities enable DevOps teams to plan, manage, analyze and optimize the continuous delivery pipeline from a single control point. In addition, the portfolio includes CA Agile Central, CA Agile Requirements Designer, CA Service Virtualization and CA Test Data Manager. We continue to invest in and enhance the portfolio, most recently via the acquisition of BlazeMeter, an innovative, SaaS-based performance and load-testing solution.
Take an idea from design to deployment at pace— without compromising quality—using an end-to-end, continuous delivery ecosystem that’s capable of driving rigorous testing from the desired user functionality.
A lot can be learned from getting a group of experienced CIOs in a room and encouraging them to talk freely about the topics at the front of their minds. Rarely do they want to discuss technology, and even the latest IT industry ‘hot topics’ usually don’t get that much airplay. Conversations, and sometimes quite heated debates, tend to revolve around broader business-related trends, how these are changing stakeholder and user behaviour and expectations, and how best to respond to such dynamics.
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
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences.
Download the e-book to learn how:
Micron Technology reduced number of IT incidents by more than 50%
Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events
TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
This paper describes key security aspects of developing and operating digital, cloud-based remote monitoring platforms that keep data private and infrastructure systems secure from attackers. This knowledge of how these platforms should be developed and deployed is helpful when evaluating the merits of remote monitoring vendors and their solutions.
Published By: BMC ESM
Published Date: Aug 20, 2009
See the highlights of BMC’s Application Performance and Analytics; a predictive, resourceful and intelligent solution that empowers IT Operations to reduce mean time to repair (MTTR), avoid problems with early warning, find problems faster using fewer resources, ensure applications meet business requirements and put the right person on the right problem, every time.
Published By: BMC Software
Published Date: Jul 22, 2015
In this white paper by EMA, you’ll learn how application discovery and dependency mapping can help you:
• Meet granular targets for availability, cost, and time-to-revenue for cloud services.
• Accelerate mean time to repair (MTTR) while communicating better with stakeholders.
• Manage even the most complex hybrid environments more efficiently and effectively.
• Understand the impact of proposed changes and potential security risks to guide decision-making.
Published By: BMC Software
Published Date: Dec 21, 2011
This Executive Brief discusses IDC's perspective on how enterprise workload management requirements are changing and highlights the ways that workload automation solutions can address these emerging requirements
Published By: Riverbed
Published Date: Feb 15, 2018
To stay ahead in today's hybrid network, you need a lens into the end user's experience as well as an understanding of the dependencies between your applications and network. With this approach, you are alerted to issues before the business is impacted and problems are resolved faster. This eBook details what you need to know to select a best of breed network performance management solution and outlines the critical capabilities required for deep application visibility across virtualized, hybrid and cloud networks no matter where a user is located. Read this book and:
Discover best practices - for proactive network monitoring and fast troubleshooting
Learn how to stay ahead of application performance issues with increased visibility
Increase productivity and a higher ROI - with automatic discovery, end-to-end monitoring, reporting, analytics and faster MTTR
Ensure your approach is a proactive mode
Study the evaluation checklist - select the best solution for your needs
Published By: LogRhythm
Published Date: Sep 19, 2016
In this webinar, three cyber security veterans will discuss today’s rapidly evolving cyber threat landscape and LogRhythm’s new Security Intelligence Maturity Model™ (SIMM). They will explore how the SIMM provides organizations with a framework to plan for continuous reduction in their mean-time-to-detect (MTTD) and mean-time-to-respond (MTTR) to high-impact threats.
Published By: Logrhythm
Published Date: Feb 24, 2016
In this webinar, learn how LogRhythm reduces mean time to detect (MTTD) and mean time to respond (MTTR) through machine-driven, real-time behavioral analytics, rapid forensic search and automated response.
Published By: ITinvolve
Published Date: Apr 16, 2013
The mean-time-to-repair an IT service is a critical measure for most IT organizations, Recent industry survey data from Forrester Research and the itSMF report that IT organizations have made little progress in improving this measure despite its importance to the overall perception of IT operations. The good news is that there is a new approach, built using familiar social collaboration principles, that can help you reduce MTTR by at least 30% without replacing your existing tools. Read this use case document to learn more.
This report reveals how Best-in-Class firms distinguish themselves from all others by routinely benchmarking and measuring their service performance; implementing effective measuring, monitoring and tracking systems; integrating service KPIs with company-wide CRM or ERP systems, wherever possible; and establishing a formal process for automatically collecting and disseminating data.
Published By: ITinvolve
Published Date: Jun 06, 2012
As much as 80 percent of the time related to MTTR (mean time to repair) is spent on identifying the key components, relationships, and people involved to determine the cause of a problem and fix it.
Published By: ThousandEyes
Published Date: Nov 17, 2016
With Internet Outage Detection, you can rapidly detect both network and routing outages and understand their severity, breadth and likely root cause. As a result, you’ll improve diagnosis and decision-making during mitigation and ultimately reduce MTTR. Download to data sheet now to learn more!
Published By: BMC ESM
Published Date: Jul 17, 2009
IT Infrastructure Library® (ITIL®) best practices promote a well-functioning, collaborative IT environment that can enable the business and your IT organization to cope with the effects of economic stress.
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