F5 WAF for Distributed Cloud vs Telecom Network Automation
F5 WAF for Distributed Cloud
f5.comTelecom Network Automation
cloud.google.comSide by side
| Figure | F5 WAF for Distributed Cloud | Telecom Network Automation |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 2 |
| Spec score · Cloud Network Management Software | 7.3 (#10) | 6.7 (#18) |
| Integrations | The product page names Terraform, vesctl CLI, public APIs, Opsgenie, Slack, Splunk, and Datadog for automation and alerting/SIEM workflows. | Google documents integrations with Google Distributed Cloud and Google Kubernetes Engine. |
| Security and compliance | The managed WAF enforces industry security standards such as PCI DSS and supports OWASP application security protections. | Users can review audit logs for administrative activity and data access, and the Telco Automation API emits Admin Activity and Data Access audit logs by IAM permission type. |
| Support | The managed service is supported 24/7 by F5 application security experts. | Standard, Enhanced, and Premium customers receive a direct Google Support channel, while Basic Support customers use an issue tracker with an expected initial response within 24–48 hours and no guaranteed resolution time. |
Plans
F5 WAF for Distributed Cloud
- F5 Distributed Cloud WAF managed servicePriced on request
Telecom Network Automation
- GDC Edge cluster automationPriced on request
- GKE cluster automationPriced on request
In their own words
F5 WAF for Distributed Cloud
F5 WAF for Distributed Cloud has no write-up on Specifiction yet; its figures are above.
Telecom Network Automation
Telecom Network Automation is a managed cloud implementation of Nephio, the open source project from Google and the Linux Foundation. It gives communication service providers a cloud control plane for Day 0, Day 1, and Day 2 deployment and operations across Google Distributed Cloud Edge and Google Kubernetes Engine clusters, cluster adaptation, networking fabric, and network-function workloads. Common templates provide Kubernetes-based intent automation across multiple clouds and vendors. The architecture uses the Kubernetes Resource Model, Configuration as Data, custom resource definitions, and pluggable Kubernetes operators. GitOps handles continuous reconciliation, versioning, tagging, and intent-drift measurement. A single-pane interface supports configuration, deployment, and ongoing operation, with blueprints, CI/CD tooling, and northbound APIs. Lifecycle testing includes cross-version, vendor-specific, validation, and release-qualification checks. Audit logs cover administrative activity and data access. Pricing is on request and billed per automated vCPU per hour.