Fulfilling the security and compliance obligations within the AWS Shared Responsibility Model is critical as organizations shift more of their infrastructure to the cloud. Most infrastructure and application monitoring solutions haven’t caught up to meet these new requirements, forcing IT and security teams to resort to traditional monitoring strategies that don’t allow for innovation and growth.
Join us for this webinar to learn how Splunk and AWS give you end-to-end visibility across your applications and help quickly detect potential security threats. Find out how Experian leveraged Splunk Cloud to deliver log data in near real-time to their operations teams for analysis and monitoring, roll out new features/updates faster, create reusable features to deploy in multiple customer environments to scale with their business, and ensure adherence to security and compliance standards.
Managing infrastructure has always brought frustration, headaches, and wasted time. That’s because IT professionals have to spend their days, nights, and weekends dealing with problems and manually tuning their infrastructure.
Traditional monitoring and support are too far removed from infrastructure, resulting in an endless cycle of break-fix-tune-repeat. Infrastructure powered by artificial intelligence, however, can overcome the limitations of humans and traditional tools.
This white paper explores how HPE InfoSight with its recommendation engine paves the path for an autonomous data center your Hybrid Cloud World.
Published By: Oracle CX
Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion.
Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation.
The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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
Published By: Riverbed
Published Date: Jul 17, 2013
Highly complex IT environment with multi-tier application architectures delivering apps and services, detecting and diagnosing code level performance problems can be like looking for a needle in a haystack. While it may be plain to the end user that there is a problem, understanding where that problem originates and exactly what is causing it is difficult, and time consuming. Riverbed OPNET AppInternals Xpert addresses this challenge by combining end-user experience, transaction tracing, and application component monitoring for deep end-to-end application visibility. This latest release facilitates bi-directional workflows between operations and application development to expedite problem resolution. Register to read the full report.
Volverse más eficiente y más confinable.Para llevar ventaja sobre la evolución de los centros de datos, las empresas necesitan considerar el monitoreo remoto digital. Este informe explica cómo el monitoreo remoto digital afectará estas áreas:
• Mejoras en el costo y el rendimiento de sistemas integrados
• Computación en la nube
• Análisis de macrodatos
• Computación móvil
• Aprendizaje automático
• Automatización para rendimiento laboral.
Die Anwendungscontainerisierung wird bei Unternehmen immer beliebter, da sie damit ihre Entwicklungsgeschwindigkeit und -effizienz steigern können. Entwickler können jede Anwendung leicht als schlanken, eigenständigen Container verpacken, ausliefern und ausführen, der so gut wie überall eingesetzt werden kann. Dies führt zu einer sofortigen Portierbarkeit der Anwendung.
Um den aktuellen Stand des Container-Monitorings besser zu verstehen, haben wir 100 Führungskräfte befragt und die wichtigsten Trends für Container identifiziert. In diesem eBook beschreiben wir jeden einzelnen Trend und bieten handlungsrelevante Anleitungen und nächste Schritte, mit denen Sie das Monitoring Ihrer Container-Umgebung beherrschen können.
Un numero sempre crescente di aziende ricorre alla containerizzazione delle applicazioni per aumentare l'efficienza e la velocità dello sviluppo. Grazie ai container, gli sviluppatori possono inserire in un pacchetto, inviare ed eseguire qualunque applicazione sotto forma di container leggero e autosufficiente, eseguibile praticamente ovunque, per garantire la portabilità istantanea dell'applicazione.
Per comprendere più chiaramente lo stato del monitoraggio dei container, abbiamo intervistato 100 executive e identificato i principali trend per i container. In questo eBook viene esaminato ogni singolo trend, quindi vengono forniti indicazioni concrete e passi successivi da compiere per garantire il controllo completo del monitoraggio dell'ambiente container.
La contenedorización de aplicaciones es cada vez más popular para las organizaciones como un método para mejorar la velocidad y la eficiencia de su desarrollo. Los contenedores permiten a los desarrolladores empaquetar, enviar y ejecutar fácilmente aplicaciones en forma de contenedor ligero y autosuficiente que puede ejecutarse prácticamente en cualquier lugar, ya que permite una portabilidad instantánea de las aplicaciones.
Para comprender mejor el estado de la monitorización de contenedores, hemos encuestado a 100 directivos y hemos identificado las diez tendencias principales en cuanto a contenedores. En este libro electrónico, abordaremos cada una de las tendencias y ofreceremos indicaciones y pasos adecuados para dominar la monitorización del entorno de contenedores.
Published By: New Relic
Published Date: Apr 07, 2015
At Zendesk, they see using New Relic and Rackspace® solutions as a winning combination. New Relic allows them
to understand the performance characteristics of their application, to monitor performance and quickly drill down to
find and resolve issues. Additionally, New Relic shows Zendesk how their application interacts with the Rackspace infrastructure underpinnings so they can achieve the most effective and efficient use of their hosting environment. Together the Rackspace hosting environment and the New Relic application performance tool creates a foundation for SaaS application success. In turn, this frees up the Zendesk team to work on application features.
Published By: Aternity
Published Date: May 18, 2015
This whitepaper provides an overview of Aternity Virtual Desktop Monitoring and how it monitors end user experience in a VDI environment. Aternity goes well beyond traditional Virtual Desktop Infrastructure assessment tools that are primarily focused on planning and testing virtual deployments. Aternity provides in-depth monitoring of end user experience in a production environment spanning tens of thousands of business users.
Published By: Aternity
Published Date: May 19, 2015
Read this whitepaper to navigate through the End User Experience Monitoring (EUEM) landscape. Learn how traditional APM and device monitoring products provide some aspects of End User Experience Monitoring, but can often leave enterprise IT Ops teams blind to what their workforce users are actually experiencing.
Published By: Aternity
Published Date: May 22, 2015
“ This 30-minute webinar that will help you navigate the EUEM landscape and learn how traditional APM and device monitoring products provide some aspects of End User Experience Monitoring, but can often leave enterprise IT Ops teams blind to what their users are actually experiencing.
Published By: Aternity
Published Date: Oct 20, 2015
This exclusive guide (a $1295 value), featuring Gartner Research, provides an overview of the five key capabilities for improving enterprise mobile workforce productivity beyond traditional monitoring. It also give you access to Gartner’s Market Guide for Mobile Application Performance Monitoring and Industry use case examples on how Aternity Mobile APM has improved both customer and workforce end user experience.
The guide also explains how, when it comes to actually measuring and improving the end user experience, Aternity Mobile APM uniquely addresses what counts most to the mobile workforce – the performance of the app as it renders on any device.
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations.
Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter.
Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to:
Enable a business aware IT organization
Unlock operational efficiencies
Solve problems with predictive analytics
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
With the growing need to effectively monitor your infrastructure, metrics have emerged as a way to gain insight to the trends and problems within your IT environment. collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside another tool, such as Splunk, to help identify trends, issues and relationships you may not be able to observe otherwise.
This e-book gives you a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment. Download your complimentary copy of “A Beginner’s Guide to collectd” to learn how to:
*Get and configure collectd
*Analyze collectd data
*Use Splunk and collectd together to analyze large amounts of infrastructure data
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution.
Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments.
Download your complimentary copy to:
*Gain insight into the developing industry of AIOps and its future
*Learn how to optimize IT operations powered by machine learning to drive business value
*Compare different AIOps platform vendors and their range of capabilities
Published By: Keynote
Published Date: Apr 23, 2014
In the world of digital interactions, the margin between success and disengagement or abandonment is measured in milliseconds. With the exploding adoption of advanced smartphones and tablets, you need a mobile-first approach to engaging with customers and employees. And as your mobile initiatives are delivered at increasingly rapid rates, the quality and reliability of the mobile apps, mobile web and connected services that support them has become critically important.
For the technology teams delivering customer and employee services in the mobile channel, it is important to understand that performance monitoring solutions which work for the desktop cannot be simply applied to mobile. Managing the mobile end user experience requires an understanding of the challenges posed by the complexities of the mobile environment. This paper will reveal the 4 pillars of mobile performance, plus offer strategies for accurately monitoring mobile end user experience so you can continuously improve.
Secureworks has been tracking cybercrime activity for more than
10 years and, as we monitor this activity to protect our clients,
we collect a large amount of data on both the criminals and their
infrastructure and systems. This annual report presents an overview
of the cybercrime landscape and trends we observed primarily from
the period of mid-2016 to May 2017, in addition to a handful of other
trends ranging from 2015 to 2016.