App 360

Full Stack Observability for Applications & Microservices
 

App 360 - A Modern Alternative to APM

Embrace an innovative approach to application observability that transcends traditional APM with end-to-end microservices monitoring and debugging. Maintain full visibility into application health, easily surface production issues and quickly drill into root causes, with detailed topology mapping and automated OpenTelemetry configuration. Be confident that your modern applications are running at full speed, without the cost and complexity of legacy monitoring tools.

 

Surpass Traditional APM with App 360

While APM offers useful monitoring, it wasn’t designed for today’s AI-driven, microservices-centric environments. Even worse, it comes with heavy deployment and spiraling costs. Embrace a modern, observability-based approach that:

  • Unifies the key signals across apps and infrastructure
  • Accelerates microservices analysis and debugging
  • Eliminates the burden of APM complexity and cost

Gain a single view into the health and performance of your applications, with automated data collection based on OpenTelemetry, out of the box dashboards and AI-driven root cause analysis.

Surpass Traditional APM with App 360

Optimize Application Performance and Accelerate Troubleshooting

App 360 delivers every key capability needed to easily surface production issues and troubleshoot faster, offering extreme ease of use, data simplicity and cost efficiency, including:

  • Distributed Tracing for end-to-end transaction analysis
  • Service Overview for high-level performance trending
  • Service Map for detailed service topology mapping
  • Anomaly Detection for detecting and alerting on issues with specific services

Embrace an observability-based approach to applications monitoring and troubleshooting tailor made for today’s microservices, Kubernetes and ephemeral environments.

Optimize Application Performance and Accelerate Troubleshooting

Conclusive Visibility and Insight into Complex Applications

Automatically surface production issues and quickly action troubleshooting, with a bird’s eye view into performance, detailed mapping and straightforward investigation paths that:

  • Prioritize business-impacting problems and affected services
  • Correlate logs, metrics and traces to isolate the root cause
  • Clearly articulate distributed microservices architectures
  • Provide AI-driven analysis and alerting for issues on critical services

Enable engineering teams to continuously maintain the full view of system, applications and infrastructure performance needed to ensure optimal performance and uptime.

Conclusive Visibility and Insight into Complex Applications

Unified Tracing and Analysis of Microservices Architectures

Measurably reduce the time needed to isolate and understand production services issues, then quickly drill into individual transactions to diagnose and troubleshoot problems by:

  • Visualizing latency of application requests within microservices architectures
  • Pinpointing service relationships and dependencies to quickly debug issues
  • Aggregating R.E.D metrics from span data to elevate emerging incidents

Improve code performance by gaining exhaustive visibility into the latency of every service and request, while correlating logs and metrics to better inform, speed and simplify response.

Unified Tracing and Analysis of Microservices Architectures

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