AI TOOL PROFILE
SignalFx | Splunk
- Software Development
- Application Performance Monitoring
- Software companies
- Mid-market companies
- Enterprise companies
- Engineering teams
- ITOps and SecOps teams
Pricing
Pricing is usage-based and involves multiple models, including workload, ingest, entity, and activity-based pricing. Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Software companies, Mid-market companies, Enterprise companies, Engineering teams, ITOps and SecOps teams
- Key use cases
- Cloud-Native Infrastructure Monitoring, Microservices Troubleshooting, Serverless Function Observation, Real-time Data Observation
- Official website
- Visit signalfx official website

How AI is used
SignalFx is a real-time observability platform integrated into the Splunk ecosystem. It is designed to help technical teams monitor cloud-native technologies, including serverless functions, microservices, and container environments such as Docker and Kubernetes.
The tool is intended for SecOps, ITOps, and engineering teams who need to observe data across their cloud environment. By providing visibility into metrics and logs, it supports the identification and troubleshooting of performance issues.
Buyers should confirm how these specific observability tools fit into their existing data and security workflows, as the platform is geared toward technical environments.
Key Features
Real-time Observability
Provides visibility into cloud-native environments to monitor data in real time.
Container Support
Designed for monitoring container orchestrated environments, including Docker and Kubernetes.
Microservices and Serverless Monitoring
Supports the observation of microservices and serverless functions.
AI-powered Analytics
Includes AIOps capabilities and AI-driven analytics to help identify patterns and anomalies.
Splunk Ecosystem Integration
Integrates with Splunk, providing access to pre-built apps through Splunkbase.
Use Cases
Cloud-Native Infrastructure Monitoring
Observing data and performance across Docker and Kubernetes container environments.
Microservices Troubleshooting
Diagnosing root causes and debugging issues within microservices architectures.
Serverless Function Observation
Monitoring the execution and health of serverless functions in real time.
Real-time Data Observation
Tracking data across the cloud journey to help reduce silos between data centers and cloud environments.
FAQ
What is SignalFx used for?
- SignalFx is used for real-time observability and monitoring of cloud-native technologies, including microservices, serverless functions, and containers like Kubernetes.
Who is the target audience for SignalFx?
- It is designed for engineering, ITOps, and SecOps teams at mid-market and enterprise-level companies.
How does SignalFx pricing work?
- Pricing is usage-based and offers different models including workload, ingest, entity, and activity-based pricing.
Source category: Software Development
Source subcategory: Application Performance Monitoring
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