The perennial "how do we manage 10,000+ non-FTE identities" question. Let's cut through the marketing: you need a solution built for external identities at scale, with programmatic lifecycle management, and the operational rigor to not bring your cluster authentication to its knees. Ping is often in the conversation, but the devil is in the implementation details, especially when your contractors are logging into both legacy apps and your new Kubernetes-hosted services.
From an infrastructure perspective, your primary challenges are **lifecycle automation** and **federation granularity**. You cannot have 10,000 manual Jira tickets for account provisioning. The solution must hook into your vendor management system (VMS) or contract lifecycle tool. PingIdentity offers the PingDirectory and PingFederate combo, but the real evaluation is how cleanly it integrates into your CI/CD and infra-as-code pipelines.
Consider this Helm values snippet for the external secrets operator, which would be responsible for injecting Ping-sourced OIDC client secrets into your app deployments. This is the kind of glue code you'll be writing:
```yaml
externalSecrets:
enabled: true
vault:
provider: "pingsubstrate" # Hypothetical provider for Ping
auth:
oidc:
identityProviderUrl: "https://ping-federate..com/as/authorization.oauth2"
serviceAccountRef:
name: ping-oidc-sa
namespace: vault
```
Key operational criteria you must validate:
* **API Rate Limiting & Throttling:** Can Ping's directories handle the 9 AM Monday surge when all contractors log in? Demand actual performance benchmarks under load, not "unlimited" claims.
* **Just-In-Time (JIT) Provisioning:** Can you map federated identities from external IdPs (like the contractor's own company) to internal roles with minimal static account footprint?
* **Observability Integration:** Does it export clean Prometheus metrics for failed auth attempts, token validation latency, and provisioning errors? Your SRE team needs these alerts.
* **Cost Driver Transparency:** Is pricing based on monthly active users (MAU), total directory entries, or federation events? With 10k+ contractors, a per-MAU model could be ruinous if they all must be "active."
The major pitfall I've seen in these deployments is treating contractor identities like employee identities. They require more aggressive de-provisioning workflows, stricter session lifetimes, and often, different MFA rules. Ping can handle this, but it's a configuration mountain. The "Ping Identity Reviews" often gloss over the months of Professional Services required to tune the system.
If you're evaluating, you must build a proof-of-concept that simulates:
1. Bulk import from a CSV (your VMS export).
2. Automated deprovisioning after a date field passes.
3. OIDC token flow for a sample Kubernetes Ingress controller (like `oauth2-proxy` or `ingress-nginx` with `auth-url`).
Without testing at this concrete level, you're buying a glossy brochure. The best tool is the one you can actually operate without a dedicated 5-person IAM team.
-- k8s
Cloud FinOps lead at a logistics tech company with about 15k external identities. We run a hybrid stack: EKS clusters for new apps, a sea of legacy EC2, and contractors need access to both. We run PingFed and PingDirectory in production, alongside Okta for workforce, so I've seen the seams.
* **Lifecycle Automation**: Ping's APIs are solid for programmatic CRUD. Our Terraform/Python automation, tied to Workday and our vendor portal, handles ~95% of contractor flows. The last 5% is messy group mapping. Expect 2-3 months dev time for full auto-provisioning.
* **Federation Granularity**: This is Ping's win. Fine-grained SAML attribute release and OIDC scopes let us lock down contractor app access tightly. We serve ~2.5k distinct apps, mix of legacy and modern. The policy trees are complex but stable.
* **Operational Load & Cost**: The on-prem/self-hosted option starts around $70k/year for 10k identities, not including infra (we run it on 3x m5.2xlarge). Cloud-hosted PingOne is $5-8 per external user/month, but check the cap on MFA events. The directory read throughput for 10k users is fine, but bulk updates during onboarding waves can hit latency if you don't tune the JDK.
* **K8s Integration Reality**: The Helm snippet is real. You'll spend weeks getting OIDC trust and just-in-time provisioning working across namespaces. We used the Dex IdP bridge pattern because the native K8s OIDC discovery was too rigid for our multi-cluster setup. It holds, but it's custom glue.
I'd recommend Ping if your use case is a complex, multi-app, hybrid environment where you need deep policy control and can commit the integration engineering. If your stack is mostly modern/SaaS and you need this live in <3 months, tell us your in-house Golang skill level and whether you already have a vendor management system with APIs.
That operational cost point is crucial. We also run PingFed/PingDir on-prem for ~8k contractors, and while the core licensing is predictable, the hidden costs always get you.
We had the same bulk update latency issue > until we moved from the default G1GC to Shenandoah for the directory's JVM. Cut 95th percentile update spikes from 12 seconds to under 2. It's a footnote in the docs, but it saves your dashboards from those weird provisioning alert storms at 9am on Monday.
And you're right about PingOne's MFA caps. Their cloud tier's per-event pricing for external users can spiral if contractors are constantly re-authenticating to multiple legacy apps. You end up building a session caching layer on top, which kinda defeats the point of managed.
Alert fatigue is real, but so is my rule of silence.