Application performance monitoring

Enhance application reliability and performance with AI-driven monitoring

Trusted by enterprises and MSPs to monitor their Kubernetes environment

  • Deep code-level visibility
  • Identify performance bottlenecks
  • Trace request flows across microservices
  • Save on your IT budget
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Site24x7's application performance monitoring tool is loved by SMBs and enterprises alike

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Leverage AI to optimize application performance

Monitoring applications proactively identifies bottlenecks, resource constraints, and potential failures, ensuring seamless performance, reduced downtime, and a smooth user experience. With Site24x7's AI-driven application performance monitoring (APM) tool, you can track key metrics, monitor application behavior, trace errors and exceptions, understand the factors impacting your application in real time, and ensure your application is always running at peak efficiency.

Identify failed components quickly with application dependency mapping

Identify failed components quickly with application dependency mapping

  • Get a complete overview of your application's architecture, with a detailed view of the various interdependencies between services, databases, and external resources.
  • Instantly detect transaction failures or degraded components in external resources using dependency maps to isolate the source of the issue and minimize downtime.
  • Identify component failure at a single glance and debug method-level errors easily.
Detect anomalies and troubleshoot errors quickly with AI-powered alerts

Uncover code-level bottlenecks with end-to-end distributed tracing

  • Observe web transactions end-to-end in distributed cloud environments with code-level tracing and get a clear visual representation of your application's transaction flow, helping you easily detect slow or failed components.
  • Pinpoint slow-performing code segments, database queries, and methods that cause bottlenecks with deep, code-level insights that allow you to optimize performance at the source.
  • Correlate traces with logs and front-end and back-end metrics, like CPU, memory, and response times, to identify root causes of infrastructure issues quickly in a single-view setup.
Uncover code-level bottlenecks with end-to-end distributed tracing

Detect anomalies and troubleshoot errors quickly with AI-powered alerts

  • Leverage AI-driven algorithms to detect anomalies like unusual patterns and performance deviations proactively, and enable faster mitigation of potential issues before they impact users.
  • Reduce downtime and maintain SLAs by identifying anomalies and trace the root cause down to the exact line of code with AIOps.
  • Cut down on alert fatigue by filtering out noise with intelligent alert prioritization, and focus on high-severity incidents that require immediate attention.
Understand the impact of deployments on customer experience

Understand the impact of deployments on customer experience

  • Track and compare application performance metrics before and after each deployment to identify changes in key indicators or signals such as response times and error rates, and understand how they affect customer experience.
  • Instantly detect and resolve performance degradations in your application after deployment by monitoring real-time customer interactions.
  • Understand the impact your application's performance has on user satisfaction. Use end-to-end tracing and user journey analysis to make informed, data-driven decisions to enhance customer experience.

FAQs

1. Why is an application performance monitoring tool important for businesses

Application performance monitoring is crucial for several key reasons. An application monitoring tool or solution plays a vital role in identifying and notifying users about performance issues in core business applications. This is essential for proactive issue resolution, as it enables users to track their applications and receive alerts, preventing service interruptions and downtime.

An APM tool provides a unified view of events, enabling the identification of performance issues and their root causes. This streamlined troubleshooting process is facilitated by visualizing interactions among application components. Monitoring performance metrics also aids developers in gaining valuable insights for optimizing application performance, responsiveness, and resource utilization.

Application performance monitoring is vital for ensuring uninterrupted performance, streamlining issue resolution, and optimizing overall application functionality.

APM tools work by tracking in real time the time taken by functions in your application code. Typically, a monitoring agent is installed in the app servers that then instruments and collects performance metrics of key functions in well-known frameworks. The agent also allows the instrumentation to be customized via configuration or API, and groups the metrics by their event source—usually an HTTP/API request or a service/database call—to provide a bird's-eye view of the health and potential performance bottlenecks in the application.

To ensure the best outcome for your monitoring efforts, it is important to follow a set of best practices. Before beginning your monitoring journey, you should:

  • Identify critical business functions and evaluate your needs and requirements.
  • Compare and analyze various vendors. Check whether they are cloud-based or on-premises, are available on multiple platforms, and can integrate well with your existing tools and technologies.
  • Confirm that the tool can be customized to best fit your monitoring needs.
  • Ensure that your tool vendor has the resources and a great support team to help answer all your questions and accommodate your requests.

An APM tool offers several benefits in today's digital landscape, where even a slight delay can impact user experience and business profitability. APM helps you with:

  • Real-time tracking of application metrics: Monitor application response time, throughput, errors, and exceptions in real-time.
  • Instant alerts and reports: Receive immediate notifications and detailed reports to assess and monitor web application performance.
  • Proactive monitoring with AI-powered capabilities: Utilize AI-based alerting and anomaly detection for proactive monitoring and optimization of application performance.
  • Understanding performance under various scenarios: Gain insights into your application's performance in different scenarios and optimize it accordingly.
  • Enhanced user experience: Ensure a seamless user experience by promptly identifying and addressing performance issues.
  • Business Profitability: Improve the bottom line by minimizing delays and enhancing application performance, directly impacting user satisfaction and business success.