See Everything.
Prevent Downtime.

Our monitoring infrastructure utilizes an ultra-lightweight, natively compiled telemetry agent. This agent operates at the hypervisor level and within the OS kernel, consuming less than 1% of a single vCPU core and mere megabytes of RAM. It securely streams metric data via an encrypted outbound connection to our centralized time-series databases. Because the processing and data aggregation happen off-node on Neviri's dedicated observability clusters, your server's compute power remains 100% dedicated to serving your actual application workloads.

Host-level monitoring (which is included out-of-the-box with Neviri) tracks the physical and virtual hardware resources of your instance: CPU usage, total memory consumption, network bandwidth in/out, and disk read/write operations. Application-level monitoring (APM) goes a layer deeper, tracking specific software behaviors like HTTP 500 error rates, database query execution times, and background worker queue lengths. While Neviri provides comprehensive host-level metrics, our platform also allows you to integrate seamlessly with APM tools like Datadog, New Relic, or open-source Prometheus/Grafana stacks.

Alert policies allow you to define custom thresholds for any tracked metric. For example, you can create a rule that states: 'If CPU utilization exceeds 85% for more than 5 consecutive minutes, trigger a High Severity alert.' When an alert is triggered, the Neviri observability engine instantly routes a notification to your configured endpoints. This can include SMS messages, automated emails, Slack/Discord webhook notifications, or triggering a PagerDuty incident. You can also configure 'warning' thresholds to notify you before a situation becomes critical.

Yes. Neviri's monitoring metrics are deeply integrated with our cloud orchestration API. By combining custom alert thresholds with webhooks, you can build fully automated CI/CD and auto-scaling pipelines. When your monitoring agent detects sustained high traffic (e.g., bandwidth spikes or high CPU load), it can fire a webhook to your load balancer or infrastructure-as-code scripts (like Terraform) to automatically spin up additional Virtual Machines, ensuring your application seamlessly absorbs traffic spikes.

By default, high-resolution metric data (sampled every 10 seconds) is retained for 30 days, allowing for granular post-mortem incident analysis. Aggregated data (downsampled to 1-hour and 1-day averages) is retained for up to 12 months. This long-term historical data is crucial for capacity planning, identifying seasonal traffic trends, auditing application performance degradation over time, and generating compliance or SLA reports for your enterprise clients.

Absolutely. While monitoring is primarily a performance tool, it is a critical component of a Zero-Trust security posture. Sudden, unexplained spikes in outbound network bandwidth can indicate a data exfiltration event or your server being used in a DDoS botnet. Unusually high CPU utilization might signal unauthorized crypto-mining malware. By setting strict baseline thresholds and utilizing our anomaly detection algorithms, you can isolate and shut down compromised instances within minutes of an intrusion.

Basic host-level monitoring, which includes standard dashboards for CPU, RAM, Disk, and Network traffic, alongside email alerting, is included completely free of charge with every Virtual Machine and Managed Database deployed on the Neviri network. For enterprise teams requiring sub-second metric resolution, extended data retention beyond 12 months, or advanced API integrations (like PagerDuty or unlimited Slack webhooks), we offer a highly affordable Premium Observability add-on.