AI TOOL PROFILE

SignalFx | Splunk

SignalFx helps engineering and IT operations teams monitor cloud-native infrastructure in real time. It is designed for companies managing microservices or containerized environments.

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
Visit signalfxsignalfx software interface screenshot

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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