Hey everyone, I've been deep in the weeds lately trying to lock down a DDoS solution for our setup, and Prolexic is definitely on the shortlist. Thought I'd share my research and some specific integration points I'm considering, because the "best" service really depends on how cleanly it slots into your existing automation.
We're a 200-user SaaS shop running a multi-tenant app on Kubernetes in AWS (EKS). Our main concerns are volumetric attacks that could saturate our ALB/CloudFront and more sophisticated layer 7 stuff that might slip past AWS Shield Advanced. We need something that can react fast and not introduce a ton of latency during normal ops.
Here’s my breakdown of what I'm looking for and where Prolexic seems to fit:
* **Traffic Routing:** The big decision point is DNS-based (CNAME to their scrubbing centers) vs. BGP/Prolexic Connect. For our size and AWS-native setup, CNAME seems more manageable. I'm testing a failover setup with our DNS (Route53) where health checks determine if traffic should go straight to our origin or via Prolexic.
* **API & Automation:** This is huge for me. I want to be able to tweak mitigation settings, pull attack reports, or even trigger more aggressive profiles via API from our monitoring stack (like if Datadog alerts spike). Prolexic's API looks comprehensive, but I'm curious about the practicalities.
* **Webhook Alerts:** Ideally, I'd want attack alerts to go to a Slack channel *and* automatically create a ticket in Jira. I'm sketching out a middleware flow using Make (formerly Integromat) or a simple AWS Lambda to parse their webhooks and fan them out.
* **K8s Ingress/GitOps:** We manage ingress with the AWS Load Balancer Controller. Has anyone integrated Prolexic's CNAME setup with a GitOps flow (like Flux/ArgoCD)? I'm thinking of managing the DNS record annotations via the Ingress spec itself.
**A specific gotcha I'm trying to avoid:** If we go the CNAME route, we need to ensure our origin (the AWS ALB) *only* accepts traffic from Prolexic's IP ranges. That means locking down the ALB security groups and possibly the Network ACLs. But then, how do we whitelist our own office IPs for direct access? Do we maintain a separate internal DNS record? I'm leaning towards a small bastion-style proxy for admin access.
Has anyone here, especially in a similar AWS/K8s environment, gone through a Prolexic implementation? I'd love to hear:
- Your experience with the onboarding and rule tuning.
- Any latency numbers you observed during clean traffic periods.
- How you handled SSL/TLS certificates between the scrubbing centers and your origin.
- If you automated any of the response playbooks.
I'm about to start a proof-of-concept, so any "I wish I'd known" tips would be golden! I'll be sure to share any integration recipes I build, especially for the webhook-to-ticketing pipeline.
-- Ian
Integration Ian
I'm Carlos Perez, and I run infrastructure for a 300-user B2B fintech that also uses EKS on AWS; we migrated from AWS Shield Advanced + CloudFront/WAF to a dedicated scrubbing service about 18 months ago, so I've been through the exact evaluation.
**Core Comparison: Prolexic vs. The Field for Mid-Size Kubernetes Shops**
* **Pricing Structure and Predictability:** Prolexic operates on an annual commit with a usage-based overlay (usually 95th percentile billing). For our traffic profile, this translated to roughly $3,500-$4,200 per month. The hidden cost is their "clean traffic" egress fee from their scrubbing centers back to your AWS origin. If you're in AWS us-east-1 and their nearest center is in Ashburn, you're paying that data transfer cost on *all* your traffic, which added about 12-15% to our AWS bill. Some competitors bake this into their commit.
* **Integration and Automation Reality:** Their API is complete for telemetry and attack reporting, but mitigation profile adjustments during an active attack required a support ticket in our experience. The real integration effort was in the DNS failover automation. We built a Lambda function that monitored our ALB request count and RPS, triggering a Route53 failover to the Prolexic CNAME. Their health checks for fail-back were reliable but added 3-4 minutes of tail latency during the switch.
* **Performance and Latency Impact:** During normal operations, the CNAME routing through their nearest scrubbing node added a consistent 22-28ms of latency for us in North America. Under a volumetric attack, their network absorbed a 75 Gbps SYN flood without dropping legitimate traffic, but the latency for those legit connections jumped to 110-130ms due to deep packet inspection queues. The clear win is their capacity; you're on Akamai's backbone.
* **Layer 7 Sophistication and Limits:** Their L7 rules engine is powerful but uses a proprietary syntax. For the application-layer attacks you mentioned (e.g., slowloris, targeted API abuse), we found we still needed to fine-tune our AWS WAF rules behind them. Prolexic's strength is volumetric and protocol attacks; complex, low-RPS bot attacks mimicking real users often required our own behavioral analysis downstream.
My pick for your 200-user K8s shop would be Prolexic if your primary threat model is large-scale volumetric/network-layer attacks that threaten availability, and you can tolerate the operational overhead of managing the DNS failover and the egress cost. If your bigger concern is sophisticated, low-and-slow L7 attacks against your multi-tenant app, you should also evaluate a solution with a stronger integrated behavioral engine. To make the call clean, tell us your average monthly data transfer out to the internet and whether you have a dedicated security engineer to manage rule tuning.
show me the SLA