Scout APM vs Splunk Synthetic Monitoring comparison

Scout APM is an application performance monitoring solution that simplifies the troubleshooting process by enabling developers to discover and repair performance problems before clients ever notice them. Scout APM uses a developer-based UI with real-time alerting and intuitive tracing logic to identify bottlenecks precisely to the source code. This helps to greatly reduce time and effort needed to debug code and results in greater productivity and improved outcomes.

Scout APM facilitates the ability of developers to break down, discover, and prioritize performance issues such as N+1 queries, latent database queries, memory bloat, and more, and accomplishes these results at a fraction of the cost. Scout APM monitors Elixir, Node.js, PHP, Python and Ruby.

Scout APM is built by developers, for developers.

Scout APM Features

• 24/7 monitoring: Continuous, consistent monitoring proactively keeps users apprised of any performance deviations. Intuitive dashboards allow users to deep-dive into specific requests, paths, users, and endpoints attached to any performance slowdowns or bloating.
  
  
• Quick and easy analysis: Should a slowdown occur or an increased response time be discovered, users have an easy to use drag-and-drop option to simply and quickly analyze every endpoint and dissect any anomalies. Scout APM will pinpoint the precise user or endpoint(s) responsible for the problem.
  
  
• Intuitive trace logic: Users are able to quickly deep-dive and discover slow requests based on average responses or any/all requests.
  
  
• Crossfilter powerhouse: Crossfilter is a Scout APM feature that allows users to quickly discover similarities with any/all slow requests back to the user or endpoint.
  
  
• Easily discover bottlenecks: With Scout APM, users can easily pinpoint bottlenecks to the exact source code without any additional custom instrumentation. The solution uses a production-safe profiler to fully examine users' custom codes.
  
  
• Developer tracing: Scout APM uses backtraces that are embedded with git blame output so developers of the code can be quickly identified and contacted to resolve issues and concerns immediately.
  
  
• Cost-effective: Scout APM is an open-source solution and offers many flexible pricing options to meet any size business, from small to enterprise level, including custom options. The cost per transaction decreases based on usage and works very efficiently with applications with very high throughput. Scout APM also offers a free trial period and encourages its usage so users can best understand and gauge the level of service needed and determine the best pricing plan to meet organizational needs. Scout APM is considered to be significantly cheaper than many other APM solutions in the marketplace today.

Reviews from Real Users

“The solution is stable. It's pretty easy to set up, especially if you have the knowledge base and/or you have a partner assist you. The product can scale. The processes are great. It helps with services and microservices. The product is great for many different industries, including energy, government, finance, and more. It's allowed our company to be more forward-thinking and to consider the future a bit more. ” - Antonio B., Regional Manager LatAm at Splunk

Customers use Splunk Synthetic Monitoring to proactively monitor application performance, simulate user interactions, and identify potential issues before impacting end-users. They appreciate its ability to provide detailed insights into application behavior and detect downtime early.

Splunk Synthetic Monitoring is highly valued for real-time alerts and comprehensive data analysis, helping businesses ensure optimal functionality and user experience. It offers precise error tracking, insightful analytics, and robust network monitoring capabilities. Users benefit from simulating user interactions, which enhance performance assessment and issue resolution. The customizable alert system and in-depth reporting contribute to improved operational efficiency. Automated test execution and scheduling provide seamless continuity for processes, while its comprehensive dashboards facilitate real-time data visualization and troubleshooting.

• Precise Error Tracking: Helps in identifying and rectifying specific issues efficiently.
• Insightful Analytics: Provides actionable insights through in-depth data analysis.
• Robust Network Monitoring: Ensures optimal network performance by identifying bottlenecks.
• User Interaction Simulation: Enhances performance assessment by mimicking real user behavior.
• Customizable Alert System: Allows tailored notifications for varying needs and priorities.
• In-depth Reporting: Facilitates thorough operational reviews and decision-making.
• Automated Test Execution and Scheduling: Ensures processes continue uninterrupted.
• Comprehensive Dashboards: Supports real-time data visualization and troubleshooting.

• Improved Operational Efficiency: Streamlines processes and reduces downtime.
• Better Issue Resolution: Quickly identifies and resolves problems.
• Enhanced Performance Assessment: Provides a detailed understanding of application behavior.
• Proactive Monitoring: Detects issues before they impact end-users.
• Real-time Alerts: Keeps teams informed and responsive to changes.
• Accurate Data Analysis: Offers reliable insights for better decision-making.

Splunk Synthetic Monitoring finds implementation across diverse industries, offering tailored solutions to unique requirements. In finance, it helps ensure the reliability of trading platforms, while in healthcare, it aids in maintaining the uptime of critical health applications. E-commerce businesses use it to simulate user interactions, ensuring seamless shopping experiences.