Download a complimentary copy of the Gartner MQ for APM 2018 from CA Technologies.
This eBook explains how to leverage DevOps tools and practices in a customer-centric way in order to build business value. It discusses the current challenges that most organizations face in extending DevOps innovations beyond the technical realm, identifies the gaps that companies must plug within continuous delivery chains in order to address those challenges, and explains how to make user engagement and the customer experience a prime consideration at all stages of the delivery pipeline.
IBM commissioned Forrester Consulting to conduct this Total Economic Impact (TEI) study that examines the potential return on investment (ROI) for IBM Cloud Application Performance Management (APM). The study determined that, on average, organizations using APM could realize an Net Present Value (NPV) benefit of $6.5 million, with an ROI of 139% over a 3 year period.
By utilizing the four Golden Signals of latency, traffic, errors, and saturation on all network traffic in real time, the IT team can achieve unparalleled visibility into the performance of the network and quickly gain the information they need to solve problems and maintain reliability. This is an enormous step toward solving one of the hardest problems in network operations; enabling users to take reliable, high-performance network functioning entirely for granted.
With the introduction of NetFlow and similar flow-based technologies, solutions based on flow-based data have become the most popular methods of network monitoring. While effective, flow-based network monitoring has a significant limitation — it lacks the depth of data to perform true root-cause analysis. This paper reinforces the concept of root cause analysis and how a packet data based approach to network monitoring allows you to know when and why a problem exists.
Want to get a better idea of the devices in your network, their addresses and which components they directly communicate with? There are a lot of Network Mapping Tools out there that do just that, but which one is right for your network? We analyzed nine Network Mapping Tools in collaboration with an independent institute to help you compare and decide. Find out:
- The features they offer
- The individual range of functions for each tool
- Which are simple, free drawing programs and which are powerful asset scanners for enterprise environments
Today’s geographically distributed companies and distributed applications require a 24×7 proactive approach to measuring and monitoring application performance. This paper defines Application Response Time (ART), presents factors to consider when troubleshooting the performance of distributed applications, and identifies “must have” criteria for distributed application analysis solutions.
Success in the mobile market is not the result of luck, despite appearance. It is the fruit of careful, deliberate attention to customer needs and an application development and management strategy that enables those needs to be met. This white paper explains how companies can create five-star mobile apps and avoid making usability, functionality and performance mistakes in mobile application delivery. It outlines the obstacles that hamper the development of successful mobile apps and provides tips and strategies for implementing an analytical approach to mobile app delivery.
Download a complimentary copy of 2018 Gartner MQ for Network Performance Monitoring and Diagnostics from Riverbed.
Read this survey analysis report and understand how the industry is gearing up for Citrix XenApp and XenDesktop 7.x adoption:
- The expectations from Citrix admins about the migration to XenApp/XenDesktop 7.x
- Key factors driving adoption of 7.x
- Challenges expected before, during and after migration
- Citrix Cloud adoption trends
- Performance management needs and concerns
The trend speaks volumes. By 2020, more than 50% of global enterprises will be running containerized applications in production, up from less than 20% today, according to Gartner1. And IDC says that by 2021, more than 95% of new microservices will be deployed in containers. At the same time, containerized application environments have created exponential complexity in cloud-based application management and monitoring. Among the challenges:
- Increases in components, dependencies and communication flows that necessitate the need for automatic mapping and maintaining telemetry data when containers move.
- Microservice and container proliferation that mean intelligent visualization and analytics are needed to surface KPIs as well as avert alert storms.
- Microservice performance impacted by application metrics and individual container attributes that must be tracked by correlating across hosts, containers and applications.
- Dynamic changes to containers that require DevOps teams to have more reliable ways to determine what, when and how application performance is impacted.
Not easy tasks on their own – and why container monitoring has become an essential APM tool for DevOps to rapidly develop and deploy innovative, cloud-based applications by incorporating new approaches in metric capture, correlation, analytics, transaction tracing, and visualization. Yes, it’s complex. And yes, there is much to consider. Start here for a quick overview of the essentials of container monitoring.
This eBook lays out the monitoring challenges confronting todays DevOps engineers, describing approaches to metric collection and visualization, the classes of modern monitoring, and importantly - how what methods work to tame complexity and ensure these dynamic application environments deliver on their promise.
By incorporating a shift–left monitoring approach into their DevOps practices, companies can maximize agility in software delivery without assuming undue risks. This eBook explains how you can achieve both agility and stability by shifting monitoring to the left in software delivery and DevOps workflows and building the feedback loops that typify high performing IT organizations and teams.
For years, IT managers have sought a single-pane-of-glass tool that can help them monitor and manage all aspects of their IT infrastructure - from desktops to servers, hardware to application code, and networks to storage. Read this eG Innovations white paper as it discusses the problem of "monitoring tool sprawl."
- How an organization ends up with more tools than what they need
- The challenges of dealing with multiple tools
- Myths and popular misconceptions about a single-pane-of-glass monitoring tool
- Best practices for achieving unified IT monitoring
- Benefits of consolidating monitoring into a single-pane-of-glass monitoring solution
Digital Experience Management (DEM) has evolved from traditional network monitoring and application performance management (APM) to become an overwhelmingly important component of IT service delivery and IT-to-business alignment. Featuring recent EMA research on digital, user and customer experience management, this white paper explores the many dimensions of digital experience management and provides insights into:
- The expanding scope and use cases for DEM
- Why companies are failing at DEM
- Principles and practices for effective DEM
- Top 10 tips for a successful DEM implementation
This ebook reviews the most common methods for monitoring TIBCO environments and show why adopting an end-to-end monitoring platform to monitor on-premise, hybrid, or cloud applications and the supporting infrastructure is the best solution.
RTView Enterprise Monitor aggregates health and performance data of individual components to interpret the impact on your top-level business applications and middleware platforms so that you can instantly grasp the bigger picture in context.
In today’s competitive application economy, it’s more difficult than ever to deliver a five-star experience. To truly capture customer interest and loyalty, your applications and services have to deliver reliable experiences that delight users, scale to support their changing needs and regularly refresh with new innovations. To do so, you need to have insights into operational performance — from mobile to mainframe — and user behavior, such as drop-off rates, most popular viewed pages, application flows and usage. In other words, you need both the “inside out” operational data and the “outside in” user behavior information. And to create alignment amongst marketing, development and operations teams, you need analytics that translate all of this data into a common language and metrics all parties can understand and share accountability for. Download this eBook for more information on how CA is uniquely positioned to address these challenges and help you to deliver five-star customer experiences.
To help organizations monitor, manage and improve end-user experience for virtualized application/desktop delivery, eG Innovations has released a free tool, the eG Enterprise Express Logon Simulator — a fully SaaS-based synthetic logon testing and performance monitoring tool for Citrix infrastructures. It is compatible with Citrix XenApp and XenDesktop. Read this blog to find out more about the tool.
Generic big data analytics tools often lack the capabilities or flexibility organizations need. Combining multiple open source and custom components enables organizations to develop a highly efficient, flexible and scalable analytics platform that meets their current and future needs. However, this can be a complex and costly process, so many organizations will require the help of an experienced partner that can maximize the results and minimize the risks. Read this white paper to find out more.