White Papers
Today, teams across the enterprise are building and managing large-scale, data-driven applications to drive value for their business – including IT operations, app developers, data scientists, and data engineers. But, getting optimal performance from your data applications is both challenging and expensive. Read this guide to learn how to:
- Remove performance blind spots in your data applications
- Better allocate resources and reduce costs
- Automatically tune performance
While everyone is aware that releases can affect software quality, there is very little available in the form of definitive proof. With Plumbr monitoring, we are able to provide qualitative proof of how our web applications are affected by releases. In this white paper, you can get to know how monitoring data from Plumbr helps:
- To quantify instability
- Report availability before and after releases
- Collect evidence and actionable insights
Every engineering team spends a considerable amount of resources on keeping web applications operating at acceptable levels of quality. How do these teams determine what to fix? And more importantly, what not to fix? In this white paper, we use monitoring data from Plumbr to help engineers identify the important incidents that need their attention from among the hundreds of issues that affect a web application at any given time. This analysis is built on the following data:
- 400 different applications monitored
- Six-month time period
- 19 billion API calls served
- 100 million failed calls over the period
- 4,500 distinct errors causing these failures.
- Many interesting conclusions that help improve your maturity as an engineering team available in our conclusions. Read more to find out!
Download the Gartner Magic Quadrant for Application Performance Monitoring 2019 to get insight into:
- Application Performance Monitoring market overview
- Gartner's evaluation criteria
- Evaluations of each recognized vendor
- Latest trends in APM landscape
Get this complimentary white paper on JVM performance management and learn tips and best practices for:
- Diagnosing a runaway Java application and identifying a high CPU thread which is the root cause
- Troubleshooting a hung Java application and isolating the blocked thread that is causing the problem
Take control of your Java applications and ensure supreme digital experience for your users.
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.
Riverbed Technology has been recognized as a Leader in the Gartner Magic Quadrant for Network Performance Monitoring and Diagnostics (NPMD) for the sixth year in a row. Register to view your complimentary copy of the full 2019 report, which includes:
- Growth of the NPMD market
- Gartner's latest criteria for a fully-equipped NPMD solution
- The NPMD vendor landscape
- Key NPMD trends
This Definitive Guide to Serverless Monitoring and Observability shares lessons learned from dozens of SignalFx customers using serverless in production. The Guide focuses on three new ways to think about serverless monitoring and observability, and explains how SignalFx is architected to meet those criteria. In this guide you’ll learn about:
- Serverless architectures
- The benefits of leveraging serverless in your environment
- The key challenges for monitoring serverless environments
- The new criteria for serverless monitoring and observability
- The top five FaaS metrics to monitor
- How SignalFx monitors serverless at scale
Today’s software-centric business models have completely changed competitive dynamics, opening up opportunities for disruption across every industry. Speed of innovation and the ability to operate in real-time have become critical capabilities for every organization. Companies have to rethink how they monitor their infrastructure, applications, and the performance of their business. SignalFx's founding technical team figured out how to monitor at scale at Facebook during their move fast and break things days -- the precursor to DevOps today. In this whitepaper, you’ll get a glimpse into what the SignalFx team learned, and how that led them to create the only cloud monitoring solution built on a streaming architecture. In this whitepaper, you’ll learn:
- How companies are using software to speed up innovation and stay competitive
- The three stages that companies typically go through to become cloud-native
- New requirements and challenges for monitoring today’s cloud-native architectures
- Why a monitoring platform with a streaming architecture is the only way to operate in real-time at any scale
Organization-wide, real-time metrics-based monitoring can transform the way your business operates. This data can help you increase the quality and speed at which you iterate, deploy your apps, and provide customer service. With SignalFx, you can provide everyone in your organization with the visibility needed for better strategic planning, forecasting, and tactical decisions. In this eBook you will learn:
- Why cross-team visibility into data is crucial to your entire organization
- What is meant by real-time visibility during the software development process
- How to enable a data driven monitoring culture with SignalFx
Applications today are built on cloud infrastructure, containers, and third-party or custom services. Monitoring this environment requires ingesting and analyzing huge amounts of data from hundreds to thousands of web services; yet operations teams must create effective alerts without the luxury of a prolonged trial-and-error process. By understanding how to create alerting rules that more closely match metrics behavior in real-world scenarios, your team will be able to respond to systems issues before issues emerge and customers are affected. This whitepaper explores:
• Why accurate alerting requires more than static alert thresholds or health checks on individual nodes.
• What to account for in cases where data is aperiodic, ephemeral, cyclical, or otherwise more complex.
• How to create and customize alert detectors in SignalFx.
In this eBook, you’ll learn:
- What new requirements and challenges have emerged for monitoring today’s microservices architectures
- When to optimize your monitoring systems for high churn (containers, autoscaling, serverless)
- How to achieve a holistic view of your systems, as opposed to monitoring individual components or signals
- Why monitoring at high resolution can improve alerts and help meet SLAs more consistently
eG Enterprise delivers the first converged application and infrastructure performance monitoring solution, providing unified visibility of application performance, end-user experience, and infrastructure health — all from a single pane of glass. Read this white paper to find out how eG Enterprise’s converged application and infrastructure monitoring capabilities help you:
- Proactively detect user experience issues before your customers are impacted
- Trace business transactions and isolate the cause of application slowness
- Get code-level visibility to identify inefficient application code and slow database queries
- Automatically map application dependencies within the infrastructure to pinpoint the root cause of the problem
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
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
