01 - Ingest @ scale
Data as it arrives
- Syslogs and application logs
- Configuration files and inventory
- Topology
Real-time and historical, multi-vendor
Platform
Advanced triage. Advanced troubleshooting. AI-based recommendations. One unified platform.
Everything your NOC needs to move from reactive firefighting to proactive operations.
A day in the life
Network engineer: the port-flapping morning.
Four steps from early warning to a recommended next step.
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1 Early warning
Heat map flags the interface errors
- Degradation surfaces before it becomes an outage
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2 Drill down
Drill down to the interface level
- Errors and discards charted per interface over time
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3 Correlate
Correlate across interfaces and devices
- Similar events grouped instead of listed one by one
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4 Act
The assistant recommends next steps
- A recommended action attached to the finding
One platform. Four stages.
02 - Analyze @ scale
Analysis and evidence
- Latest LLMs, agentic RAG
- ML-based classification and anomaly detection
- Pattern-based correlation
Millions of events, minutes not hours
03 - Insights @ scale
Trends and root cause
- Early warning trends
- Root cause analysis
- AI analysis and recommendations
Human-centric, evidence-backed
04 - Execute @ scale
Action and remediation
- Interactive assistant
- Agentic workflows
- Remediation next steps
Advises your engineers, never replaces them
Capabilities
Everything triage needs, in one platform.
Multi-vendor streaming data ingestion
A data pipeline that ingests real-time and historical data.
Multi-device correlation
Connects events across interfaces or devices to group similar events.
Agentic RAG assistant
Ask in plain language. Get evidence-backed answers.
ML-based log classification and analysis
Sorts and extracts patterns from millions of events by type and frequency.
Early warning trends
Surfaces degradation before it becomes an outage.
Root cause and next steps
Every finding comes with a recommended action.
See it working
Real screens. Real results.
Key feature 01
AI-powered troubleshooting and diagnostics
- Collect data in real time through an adaptive ingest pipeline and device library.
- Run interactive queries across logs, config files and performance metrics.
- Find root causes faster with ML-based algorithms.
Key feature 02
Real-time trends and insight visualization
- See conditions across devices before issues become outages.
- Recognize patterns and developing problems in network logs.
- Surface early warnings for costly network degradation.
Key technical benefits
What the engineering team gets.
- Start troubleshooting almost immediately, with millions of real-time syslogs ingested.
- Save hours of troubleshooting by turning network error logs into dashboard insights and an AI assistant.
- Get an early warning system from trends and classification of errors.
- Let multiple engineers and sysadmins use the platform at the same time.
- Speed up operations reporting with visualizations and analytics dashboards.
- Correlate issues within minutes, with ML algorithms that identify possibly related error logs.
Works with what you run
Device library and supported vendors.
- Cisco
- Juniper
- F5
- Palo Alto
- A10 Networks
- Fortinet
- Nokia
- Ericsson
- Linux
- Windows
- MySQL
- Apache
Network
- Cisco routers and switches
- Juniper firewalls and switches
- A10 load balancers
- F5 load balancers
- Palo Alto firewalls
Application
- Virtualization
- Linux and Windows servers
- Web servers
- Databases
- Middleware and APIs
Core services
- DNS
- Routing and BGP
- Inventory and CMDB
- CDN, IP and video services
- Device configurations
Explainer
Take a glimpse of PulsarOps AI.
Book a demo
Walk through the platform with an engineer.
Thirty minutes on the PulsarOps demo environment.