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.
This informative white paper demonstrates that an environment incorporating DevOps and end-to-end Application Performance Management is critical to keeping pace with agile development cycles. It looks in-depth at the direct impact an APM+ DevOps approach has on the insurance industry.
This informative white paper demonstrates that an environment incorporating DevOps and end-to-end Application Performance Management is critical to keeping pace with agile development cycles. It looks in-depth at the direct impact an APM + DevOps approach has on the banking and financial markets.
This informative white paper demonstrates that an environment incorporating DevOps and end-to-end Application Performance Management is critical to keeping pace with agile development cycles. It looks in-depth at the direct impact an APM+ DevOps approach has on the telecommunications industry.
This informative white paper demonstrates that an environment incorporating DevOps and end-to-end Application Performance Management is critical to keeping pace with agile development cycles. It looks in-depth at the direct impact an APM + DevOps approach has on the healthcare and life sciences industry.
For many enterprises, their application is their business. Although performance and reliability are top priorities, IT Ops teams struggle to keep up with the complexity and scale of modern software applications. They need help. Enter the rise of the Site Reliability Engineer (SRE). In this eBook, learn how the role of the SRE can help your enterprise:
- Increase application reliability at scale
- Overcome Dev and Operations silos and conflicts
- Improve project, end user, and business outcomes
DevOps has already taken the IT world by storm, and it’s continuing to transform the way organizations develop, deploy, monitor, and maintain applications, along with underlying infrastructure. It’s quickly transitioning from a niche scope to a critical business outcome that all teams hoping to scale to digital transformation. In this eBook, AppDynamics collected the top 10 practices around DevOps your CIO and team need to know about to adopt the best model for success.
Download this white paper to find out how the right cloud performance management system needs to incorporate performance management from three different perspectives: FROM the cloud, OF the cloud and FOR the cloud. This approach will help you to quickly pinpoint the root cause of a problem by providing a much more holistic view into every tier of the cloud infrastructure – ensuring quick resolution – or even prevention – so business services are running smoothly.
Eight in ten users have deleted apps because they didn’t perform correctly. More than half have deleted a low-performing app without giving it a second chance. Read The App Attention Index 2017 study to see where enterprises are coming up short in meeting user expectations — and how to turn those failings into a competitive advantage.
In this white paper, Top Challenges and Best Practices for Virtualizing Citrix XenApp and XenDesktop on VMware vSphere, you will discover how address some of these challenges, including how to:
- Prevent common problems in the storage, network, compute and memory tiers
- Configure VMware vSphere and Citrix XenApp and XenDesktop for maximum reliability, performance and scalability
- Identify and monitor the right performance metrics
- Get complete visibility into your virtualized environment to deliver performance, end user satisfaction and cost control
As IT applications have been increasingly used to support online businesses, there is an increasing realization that application performance is as, if not more, important than that of the infrastructure. Ensuring that a server’s CPU utilization is normal is not a guarantee that users are happy with the performance of the application. Converging application and infrastructure performance monitoring into one single pane of glass covers the reach, depth and speed needed to effectively monitor all of the different platforms required, the level of visibility to drill down into application code issues and the automation required into supporting infrastructures for quick diagnosis and resolution. Download this white paper to discover how converged application and infrastructure performance monitoring can help you proactively discover, diagnose and resolve performance issues and applications to consistently deliver great user experience.
Because it hosts the core business logic, the performance of the Java middleware tier has a significant impact on the performance of the business services that it supports. Since all Java applications (whether client-server or web-based) run on a Java Virtual Machine (JVM), monitoring of the JVM can provide key insights into performance issues that could have a significant impact on the supported business services. For example, a single run-away thread in the JVM could take up significant CPU resources, slowing down performance for the entire service. Alternatively, a deadlock between two key threads could bring the business service to a grinding halt. This white paper focuses on monitoring at the JVM layer and provides use cases to highlight how JVM monitoring can help pinpoint and resolve the cause of complex performance issues.
One of the biggest challenges in virtualized infrastructure impacting application performance is the ability to manage resource contention in the underlying storage infrastructure. A common approach to reduce the impact of this challenge is to over-provision storage platforms with IO and disk capacity and manage mission-critical applications in silos. The adoption of SSD all-flash arrays tends to eliminate the IO bottleneck, as all-flash offer 10x+ the IOPS capacity. However, the challenge of workload alignment, heterogeneous storage management, and efficient capacity planning remain when introducing SSD arrays into virtual & cloud environments. So, how can we overcome all of these tough challenges? This paper answers these questions and explores storage virtualization in-depth.
This white paper is for leaders of Operations, Engineering, or Infrastructure teams who are creating or executing an IT roadmap. It discusses the challenges that must be recognized and questions that must be considered in order to succeed in this new cloud era. The paper will cover:
- Performance: It’s Still Your Problem
- Cost: “Cloud Scale” Still Gets Expensive
- Agility: Easily Talked About, Not Easily Done
- Cloudy with a Good Chance of Vendor Lock-In
- Choosing the Right Cloud
This paper explores some of the common challenges facing VDI planning, deployment, operations, and Turbonomic’s unique approach for addressing them. The whitepaper will explore how you can assure performance of virtual desktops with autonomic intelligent workload placement, sizing and provisioning to minimize latency, drive efficiency and control I/O intensive tasks. Download this whitepaper and learn:
- The challenges of virtual desktop infrastructure
- How to assure performance of virtual desktops with autonomic intelligence
- How to leverage existing storage investments for VDI
- How to plan for VDI and deliver an exceptional end-user experience 24/7
- How to quickly place new desktop workloads factoring in real-time resource allocation and continuous changes in the underlying infrastructure
- Prevent I/O intensive tasks (e.g. patch updates, antivirus updates, reboots) from overtaxing your storage footprint
How do you manage effective implementation in the hybrid cloud? 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 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 do you run workloads to guarantee performance while maximizing the efficiency. In this whitepaper you will learn:
- A brief history of hybrid cloud
- The different public cloud offerings on the market
- Why public cloud adoption is skyrocketing
- The challenges that come with adopting public cloud
- The “what, when and where” to run your workloads
- How Turbonomic’s solution can help accelerate cloud adoption with Autonomic IT
How do you think about your applications today? In this paper, Turbonomics examines the evolution of enterprise applications, the data centers in which these applications reside and the increasing expectations of businesses and end-users on the Quality of Service their applications deliver. The paper also discusses Application Performance Monitoring (APM) and why this approach is no longer sufficient to meet today’s complex data center and application design, nor meet end-user and business expectations.
In today’s application economy, customers expect a seamless digital experience and nothing less. Now more than ever it is imperative that organizations differentiate themselves to stand out from countless competitors. As a result, investments in Digital Transformation initiatives are growing and although the benefits are clear, the road to success may not be. This study conducted by Vason Bourne on behalf of CA Technologies, highlights the importance of improving digital experience along with the challenges and benefits of Digital Transformation.
Download a complimentary copy of the full Gartner Magic Quadrant report.
In this new report, The State of Multi-Cloud Architecture, Part 2, Turbonomic addresses the question: What can go wrong, and what does go wrong when implementing Multi-Cloud? The report highlights:
- Implementation Challenges
- Vendor Selection
- Technical and business requirements facing multi-cloud adoption
Download the second in the series of four reports to learn how your organization stacks up: What challenges will you face? Which vendor is right for your organization? What challenges lie ahead when you adopt Multi-Cloud?