Cortex XCOR

Cortex XCOR

Palo Alto Networks
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About

Palo Alto Networks Cortex XCOR is an AI-driven observability platform designed to help organizations monitor application performance, infrastructure health, and digital user experiences. The platform combines real-time telemetry analysis, automated incident investigation, and conversational AI to identify performance issues and accelerate troubleshooting. Its XCOR Operator allows engineers to investigate incidents, query telemetry, and create dashboards using natural language instructions. AI Investigations correlates logs, metrics, traces, and system dependencies to identify probable root causes of operational problems. Cortex XCOR also provides real user monitoring, application performance monitoring, infrastructure observability, and automated telemetry optimization. The platform supports OpenTelemetry standards, scalable data processing, and configurable consumption budgets to help organizations maintain system reliability while controlling observability costs.

About

OrbOps AI is an agentic infrastructure operations platform for DevOps, SRE, Platform Engineering, Cloud, and Security teams. O2 AI uses specialized AI agents to coordinate and automate workflows across CI/CD, releases, incidents, on-call, infrastructure, Kubernetes, security, access governance, provisioning, observability, and FinOps. The platform brings together context from source code, cloud infrastructure, Infrastructure as Code, monitoring, security, identity, and cost-management systems to help teams investigate issues, prepare deployment plans, correlate alerts, understand dependencies, and automate repetitive operations. OrbOps AI follows an Observe → Reason → Plan → Approve → Act → Verify model, combining agentic automation with human and policy controls for critical infrastructure actions. It is designed to work with existing DevOps ecosystems including GitHub, GitLab, Terraform, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, OpenTelemetry, PagerDuty, and Jira.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Site reliability engineers, DevOps teams, platform engineers, cloud infrastructure teams, application developers, IT operations professionals, and enterprises seeking AI-powered observability, application performance monitoring, automated root cause analysis, infrastructure monitoring, and telemetry cost optimization

Audience

B2B

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 4.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • - Cuts down significantly on manual ops toil — routine tasks that used to need hands-on intervention are now handled with much less effort - Access management is noticeably faster — fewer manual approval bottlenecks compared to a ticket-and-wait process - FinOps visibility is built into the same platform, so you're not stitching together a separate cost-management tool - Repo-to-production deployment is dramatically faster — takes our GitHub repo to our AWS cloud in about 45 minutes, and has cut client onboarding from days down to roughly 60 minutes from repo to live production Good fit for teams running AWS/GCP/Kubernetes/Terraform/ who want AIOps and DevOps Agents consolidated rather than fragmented across tools

Cons

  • Rewards a bit of ramp-up time like any automation platform, it takes a short adjustment period to get comfortable trusting the automated actions, but that trust builds quickly with use and They're still building out its ecosystem as a newer platform, the surrounding community and integrations are growing, with more third-party resources expected as adoption increases

Training

Documentation Not Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Palo Alto Networks
Founded: 2005
United States
www.paloaltonetworks.com/cortex/xcor

Company Information

OrbOps AI
Founded: 2025
India
www.orbops.ai

Alternatives

Alternatives

Cortex XCOR

Cortex XCOR

Palo Alto Networks

Categories

Agentic DevOps Supported
AI Observability Supported
AI SRE Agents Supported
Cloud Monitoring Supported
Observability Supported
Telemetry Supported

Categories

Agentic DevOps Supported

Integrations

OpenTelemetry Supported
PagerDuty Supported
Amazon Web Services (AWS) Not Supported
GitHub Not Supported
GitLab Not Supported
Google Cloud Platform Not Supported
Grafana Cloud Not Supported
Jira Not Supported
Kubernetes Not Supported
Microsoft Azure Not Supported
NudgeBee Supported
Opsgenie Supported
Prometheus Not Supported
Sedai Supported
Shoreline Supported
Slack Supported
Terraform Not Supported
TierZero Supported

Integrations

OpenTelemetry Supported
PagerDuty Supported
Amazon Web Services (AWS) Supported
GitHub Supported
GitLab Supported
Google Cloud Platform Supported
Grafana Cloud Supported
Jira Supported
Kubernetes Supported
Microsoft Azure Supported
NudgeBee Not Supported
Opsgenie Not Supported
Prometheus Supported
Sedai Not Supported
Shoreline Not Supported
Slack Not Supported
Terraform Supported
TierZero Not Supported
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