SignalFx Monitoring Performance
SignalFx is a cloud monitoring and observability platform for modern applications.
- Since:2013
- Discord:@nNjNnV4
- Dockerhub:signalfx-agent
- Docs:docs.signalfx.com
- Github Topic:signalfx
- Reddit:r/signalfx
- Repository:github.com
- StackOverflow:[signalfx]
- Twitter:@signalfx
- Wikipedia:SignalFx
#What is SignalFx?
SignalFx is a cloud-based application performance monitoring (APM) tool that provides real-time insights into the performance of applications and microservices. It offers full-stack observability and can monitor a wide range of applications, from containerized microservices to traditional monoliths.
#SignalFx Key Features
Most recognizable SignalFx features include:
- Automatic instrumentation and tracing for easy setup and configuration.
- Real-time analytics and alerting to quickly identify and resolve performance issues.
- Support for distributed tracing to visualize application dependencies and identify bottlenecks.
- Pre-built dashboards and visualization tools for easy monitoring of application performance.
- Machine learning-powered anomaly detection to identify unusual application behavior.
- Open-source plugins and integrations for easy customization and extension.
#SignalFx Use-Cases
Some of the SignalFx use-cases are:
- Application performance monitoring and troubleshooting for cloud-native applications and microservices.
- End-to-end performance monitoring of distributed systems to identify and resolve bottlenecks.
- Capacity planning and optimization to ensure that applications are optimized for peak performance.
- Resource allocation and optimization to reduce waste and improve cost-effectiveness.
- Incident response and post-mortem analysis to improve the reliability and resiliency of applications.
- Business performance monitoring to ensure that applications are delivering business value.
#SignalFx Summary
SignalFx APM is a cloud-based APM tool that offers full-stack observability, real-time analytics, and distributed tracing to help users identify and resolve performance issues in their applications and microservices.