Whether your apps run on virtual machines, lift-and-shifted services, or containers, one truth holds: the network your apps depend on is only as reliable as the processes around it. Fragmented tooling, duplicated policies, and manual handoffs create avoidable risk—no matter if the traffic originates in a data center, a private cloud, or a Kubernetes cluster. Gartner has warned that through 2025, the vast majority of cloud security failures are attributable to humans—not because teams don’t care, but because fragmented operations invite human error.
When failures do happen, the costs are board-level. IBM’s 2025 study puts the global average at $4.44M (U.S. $10.22M)—plus brand impact and potential lost customers that often surface in the following quarters. And the fix isn’t more point tools—it’s integrated operations. When policy, telemetry, and automation operate with consistency across your existing stack, teams ship faster, outages fall, and audits stop being events. That’s the change we’re driving: a simpler way to run what you already own, from virtualized platforms to container platforms, with observability and automation built in.
The day your stack behaves like one system
Picture a launch day tomorrow. Your team opens one console, scales capacity in minutes, and the right policies follow automatically. Traffic shifts cleanly across clusters. Telemetry lands in your observability pipelines without custom glue. An auditor drops by; you show policy as code and dashboards that mirror production. A second business unit asks for the same rollout—no rework, you just reuse approved templates. The day ends on time, no war room required.
That experience—integrated operations instead of tool sprawl—cuts manual steps, lowers human-error risk, and speeds releases. Finance sees fewer outage surprises. Compliance becomes routine rather than an event. This is the “modern apps need modern networking” outcome we’re delivering.
What’s new: integrations that make it real
Most enterprises already have a crowded shelf of “best-of-breed” tools—and adding another dashboard won’t fix inconsistent policy, slow handoffs, or audit gaps. The answer is an integrated operating model that makes the stack behave like one system: policy defined once, telemetry flowing to where teams already work, and changes expressed as code. NetScaler is building the connective tissue across the solutions you already operate —virtualization, Kubernetes, observability, and automation—so value shows up in days, not quarters.
Let’s cover a few of them:
- Virtualization with Nutanix AHV (Acropolis Hypervisor): NetScaler VPX now supports Nutanix AHV, delivering faster time-to-service, shorter change windows, and lower operational risk across your Nutanix estate, while helping you retire legacy hypervisors sooner to improve TCO. This fully supported integration, set up simply through Prism, lets you apply consistent application delivery and security policies wherever AHV runs, making migrations and ongoing operations more predictable.
- Traffic governance for Red Hat OpenShift and Kubernetes Gateway API: For Red Hat estates, you can now ship features faster and safer with one consistent L7 policy and fewer handoffs across teams. NetScaler’s Ingress Controller for Red Hat OpenShift and support for Kubernetes Gateway API bring enterprise traffic management and security into the native workflows you already use—unlocking high-value use cases like progressive delivery (canary/blue-green) without freezes, per-tenant isolation and rate limits on shared clusters, and consistent TLS/WAF policy on every service.
- Instant IaC — Ansible & Terraform from today’s policies: Take your existing NetScaler configuration and automatically generate infrastructure-as-code templates (Ansible playbooks and Terraform scripts) covering core load balancing and global traffic management, Gateway/AAA access, and security controls like encryption & certificate policy, WAF, and API/bot protection. That makes changes reviewable and repeatable from day one, cuts configuration drift, and shortens change windows—without a rewrite or big-bang migration.
- Integrated observability: new Kafka streaming, improved Prometheus, plus Splunk and Elasticsearch: Integrated observability turns NetScaler into a direct signal source for the tools you already use, so issues surface sooner and fixes ship faster. Real-time streams and right-sized metrics cut noise, improve SLO performance, and strengthen audit readiness—without adding more tools to manage. This wave emphasizes what’s newand the broader value of integrated telemetry.
- New: Kafka streaming from NetScaler observability exports feeds real-time transactions and events directly into your data pipelines.
- Improved: Cleaner Prometheus integration for direct metrics exposure (fewer custom collectors, tighter SLOs).
- Also integrated: Export to Splunk (HEC) and Elasticsearch (Kibana dashboards) so SecOps/SREs stay in their native tools. You can also use Grafana with Prometheus to easily visualize and monitor NetScaler health and traffic. How-to ›
Taken together, this reduces detection time, simplifies audits, and eliminates brittle collectors across environments.
The business impact (validated)
Those organizations standardizing on this integrated model report materially fewer unplanned outages, more efficient app-delivery teams, and fast payback—proof that integration is a business decision, not just an architectural preference.
IDC’s independent analysis of organizations standardizing on NetScaler found 97% less unplanned downtime and 70% more efficient app-delivery teams, with 387% three-year ROI and seven-month payback. That directly maps to the risk and speed issues execs care about most.
Next steps
If you’re on Nutanix AHV, pilot a VPX using the Prism-based POC to validate Day-0/Day-1 flows. Follow our step-by-step deployment guide and try it today.
Watch the Red Hat–hosted webinar recording featuring NetScaler Gateway API, then share our NetScaler + Red Hat solution brief with your platform lead to scope a pilot.
Share the nsconf2iac overview blog with your platform lead and sponsor a two-week pilot to convert one production-adjacent service’s configs into Ansible/Terraform templates—so you can validate faster changes, built-in reviews, and clear audit trails before scaling.
Share the observability export overview with your SRE lead and sponsor a short pilot to wire NetScaler data into Prometheus, Splunk, Elasticsearch, or Kafka—so you can validate faster detection, unified SLOs, and audit-ready trails before scaling.