IaaS & PaaS security and monitoring
See every layer of your cloud. Fix issues before they hit production.
NodeMethod gives cloud developers and infrastructure teams real-time insight into software, hardware and security status across their entire ecosystem, and uses machine learning to resolve problems before they become service impacting.
The platform
One view across software, hardware and security.
Real-time insight
Live status for applications, services, hosts and hardware in one place, so your team always knows what is healthy and what is drifting.
AI-driven prediction
Machine learning models trained on extensive logging spot the early signals of failure and flag potential issues long before users notice.
Security posture
Continuous monitoring of your security status across IaaS and PaaS environments, with threats surfaced and contained as they emerge.
Proactive resolution
Issues are resolved automatically or routed with clear remediation steps, before they become service impacting.
How it works
From signal to fix, automatically.
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01
Collect
Connect your cloud environments. NodeMethod ingests logs, metrics and events from software, infrastructure and hardware.
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02
Analyze
Machine learning and AI correlate signals across your ecosystem to separate real risks from noise and predict what comes next.
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03
Resolve
Fixes are applied or queued with context, so problems are handled before they affect your customers.
Proprietary toolkit
More than monitoring. A suite of performance and security enhancements.
Alongside monitoring, NodeMethod's own toolkit helps teams harden and tune their environments, turning insights into lasting improvements.
- NM Pulse · Telemetry agentA lightweight collector for hosts, containers and managed services that streams logs, metrics, traces and hardware health into NodeMethod with minimal overhead.
- NM Sentinel · Security hardeningContinuous configuration audits against industry benchmarks, vulnerability and exposed-secret scanning, and drift detection across IAM, network and storage policies.
- NM Tune · Performance optimizationRightsizing and autoscaling recommendations, bottleneck analysis and capacity forecasting that keep workloads fast without overspending on cloud resources.
- NM Lens · Log intelligenceCentralized, searchable logs with AI-powered anomaly detection and root-cause correlation that links an alert to the deploy, change or component behind it.
- NM Autopilot · Automated remediationSelf-healing runbooks that restart services, roll back bad deploys, rotate certificates and scale resources automatically, with approval gates for sensitive actions.
Our full site is on the way.
Get early access to NodeMethod or talk to our team about your cloud environment.
Or email us at contact@nodemethod.net