Modern data analysis tools such as Hadoop and Spark have become central to many Fortune 1000 businesses. As critical components for digital business success, they produce insights that can only be obtained by analyzing massive amounts of data. The continued growth of these systems can mean that an enterprise may be running 100,000 applications a day on 1,000 nodes, and servicing over 2,000 users. Even the best data analysis tools on the market can produce problems during massive scale analysis when they are piecing together performance data from those applications.
There’s no foreseeable end to the relentless growth of users and applications. So how do you address performance management problems and end the headache of constant manual tuning even when you’re using the most common data analysis tools?
The answer: To manage data for performance improvement, deploy a solution that automatically correlates both application and infrastructure performance data allowing you to be laser-focused in your efforts to improve performance. This solution must go beyond standard monitoring and provide real actionable insights.
Auto-Correlate Infrastructure and Application Performance Events
It’s much easier to resolve bottlenecks and failures when you have rich contextual information that traverses infrastructure and application performance.
Application performance management helps developers improve application and query performance within the context of cluster operations. This also supports better organizational alignment with IT Operations. Within today’s enterprise environment, it’s critical that the process is automated. Manual tuning is not an option.
With detailed application/workload metrics, IT Operations can quickly identify and troubleshoot infrastructure issues within such an environment, optimize related cluster resources, and quickly resolve performance problems. Streamlining this process even in the best data analysis tool is essential to successfully scaling analytics environments to meet the business’ needs.
Application and Infrastructure Correlation Requires a Holistic Approach
Gaining visibility across your distributed system means correlating and visualizing metrics to quickly pinpoint and resolve issues. This requires a holistic approach, one that looks at how your applications interact within the context of your big data infrastructure.
Pepperdata solutions provide that holistic strategy, allowing a view of your cluster resources and delivering context-aware application tuning recommendations. You get a unified operational view, real-time granular data, and historical references to optimize application performance and resource utilization.
The solutions also make it easy to quickly see whether an application, the infrastructure, or a combination of both are contributing to the latency of your workloads. A 360-degree view of all your performance data in one dashboard lets you gauge performance, diagnose issues up to 90% faster, and improve the overall efficiency of the data analysis tools you are using to analyze your entire cluster.
Furthermore, Pepperdata provides intelligent tuning recommendations for improving on application performance so you can better allocate and utilize resources by pinpointing exactly what specific resources each big data analysis application requires. This application right-sizing also improves your ability to only deploy on-premise and cloud resources that are needed to support a given workload.
Further Your Efficiency with Pepperdata Application Spotlight and Pepperdata Platform Spotlight
Application Spotlight is a self-service portal that provides 360-degree visibility and insights into your Hadoop and Spark application performance data, along with powerful APM tools. Developers get useful, actionable recommendations that eliminate the time-consuming “try-test-repeat” processes.
Meanwhile, Platform Spotlight continuously monitors and collects unique data from all relevant hardware and execution framework sources, providing a 360-degree cluster view that enables IT Operations to quickly diagnose performance issues and make resource decisions based on user priorities and needs. It also enables alerting to identify the root cause of problems in big data analysis tools before your users and applications are impacted.
Pepperdata solutions correlate metrics to provide you with rich telemetry data and actionable insights to monitor and manage the performance of your entire cluster. Tap into the unmatched experience and expertise of Pepperdata to:
- Get real-time visibility into resource utilization, along with the ability to recapture wasted resources and optimize capacity utilization.
- Easily troubleshoot difficult issues and automatically optimize your big data application and infrastructure performance, both in the cloud and on-premise.
- Get detailed tuning recommendations for each of your applications, derived from hundreds of metrics that Pepperdata tracks in real time.