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

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.

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

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.

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