
We build intelligence that enables infrastructure to observe, learn, and act in real time. It combines three pillars: scalable data engineering using Kafka and Spark to unify logs, metrics, and events; environment-specific machine learning to detect anomalies and identify root causes; and closed-loop automation with self-healing workflows and ServiceNow integration. The result is infrastructure that not only detects issues but resolves them automatically.
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Raw telemetry is noise. Our Apache Kafka and Spark pipelines, powered by Veryx Cloudmon, consolidate logs, metrics, and events into unified, normalized, high-fidelity intelligence with near-zero overhead.
Your environment is unique. So is our AI, tuned to your topology and KPIs, detecting anomalies, isolating root causes, and explaining every flag in plain context.
Our AI doesn't just detect, it acts. Self-healing workflows, ServiceNow integration, and southbound actuators push fixes directly to the network edge, automatically.
We don't just tell you when something is down; we tell you why it's slow and how to fix it before your users even notice.
Running infrastructure is one thing; running it optimally, around the clock, is another. Veryx Managed Services gives you expert-led monitoring, proactive issue resolution, and full-stack visibility without the overhead of building it in-house.
From network anomalies to cloud performance gaps, we catch and address problems at the root, so your team stays focused on what moves the business forward.
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Synthetic and real-user monitoring combined-pinpoint latency, verify SLAs, and keep critical apps performing everywhere, for everyone.
Full-stack visibility across AWS, Azure, and GCP, no blind spots, no waste. Monitor everything, optimize spend, in real-time.
Flow-based analysis across NetFlow, IPFIX, and sFlow, detect anomalies, flag bandwidth hogs, and stay ahead of network degradation.
Our expert NOC team uses Cloudmon to watch your infrastructure around the clock. We handle the configuration, threshold tuning, and alert management so your internal team can focus on innovation.
When an incident occurs, we don't just "reboot and pray." We use Cloudmon’s deep diagnostic tools to perform Root Cause Analysis (RCA), providing you with a detailed report and a permanent fix.
On a quarterly basis, we analyze your Cloudmon data to provide actionable recommendations on network architecture changes, cloud rightsizing, and application performance tuning.
Veryx builds cloud infrastructure that keeps businesses moving without friction or compromise. We design environments that accelerate deployments, stay resilient under pressure, and scale seamlessly as demand grows, while keeping cloud costs aligned to real business value. By bridging development and operations, we turn infrastructure into a strategic advantage. With full visibility across infrastructure, applications, and user experience, teams gain clarity to act faster, reduce risk, and ensure consistent performance.

Your infrastructure is code, versioned, tested, and repeatable. Automated provisioning, consistent environments, and instant disaster recovery, always.
Ship faster, break nothing. Automated testing, zero-downtime deployments, and instant feedback keep your release cycle sharp and reliable.
Security built in, not bolted on. Automated scanning, least-privilege access, and real-time compliance monitoring protect every layer.
AWS, Google Cloud (GCP), Microsoft Azure.
Kubernetes (K8s), Docker, Amazon ECS.
Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI.
Prometheus, Grafana, ELK Stack, Datadog.
The Old Way - Monthly or Quarterly
The DevOps Way - Multiple times per day
The Old Way - Hours or Days
The DevOps Way - Minutes (Automated)
The Old Way - Manual & Reactive
The DevOps Way - Elastic & Proactive
The Old Way - High (Human Error)
The DevOps Way - Low (Automated Validation)
We analyze your current bottlenecks and manual processes
We design a custom automation strategy tailored to your scale.
We build the pipelines and infrastructure alongside your team.
Continuous monitoring and fine-tuning for cost and performance.