Use Case
DDoS Protection for
SaaS Platforms
Your customers depend on your uptime. A DDoS attack does not just take your app down — it takes your customers' businesses down. When your API goes offline, their workflows break, their users see errors, and their trust in your platform erodes. Flowtriq detects attacks before they impact your SLA and gives your ops team the tools to respond in seconds.
The Problem
When your platform goes down, your customers go down with it
SaaS platforms are high-value DDoS targets. Attackers know that taking down a multi-tenant platform creates a cascading impact — hundreds or thousands of end users are affected simultaneously. This makes SaaS companies attractive targets for extortion, competitive sabotage, and hacktivism.
Your architecture makes defense harder, not easier. API gateways, load balancers, microservices, and multi-region deployments create a complex attack surface. A volumetric flood hitting your primary API endpoint can overwhelm your load balancer while your application servers sit idle.
The cost is not just downtime. It is SLA credits to enterprise customers, lost trust, and churn. A single high-profile outage can dominate Hacker News for a day and erode months of brand building. You need detection that keeps up with the speed of modern attacks.
09:14:22 Load balancer health checks fail
09:14:35 API returns 503 to all tenants
09:15:00 Status page: investigating
09:15:10 2,400 customers impacted
09:18:00 Engineering team paged
09:24:00 Attack vector identified
09:31:00 Manual mitigation applied
Downtime: 17 minutes
SLA credits issued: $14,200
Enterprise customers affected: 38
Support tickets: 247
How Flowtriq Helps
Detect and mitigate before your customers notice
Flowtriq monitors traffic at the network level on each server in your infrastructure. The FTAgent detects anomalies within one second of the first malicious packet. Auto-mitigation drops attack traffic at the kernel level first, then escalates through BGP FlowSpec and upstream cloud scrubbing for larger attacks — keeping your API responsive throughout the incident regardless of attack size.
Webhook alerts fire instantly to your existing incident response tools. Pipe them into PagerDuty, OpsGenie, Slack, or your custom runbook automation. Flowtriq fits into the workflow you already have instead of replacing it.
After every incident, Flowtriq generates a detailed report with attack timeline, traffic volumes, classification, and mitigation actions. Use these reports for internal postmortems, customer communications, and SLA compliance documentation. Your customers get transparency, and your team gets data.
09:14:01 PPS=310,000 BPS=8.1Gbps THRESHOLD
T+0.1s Incident opened · SYN Flood · 94%
T+0.2s Auto-mitigation · nftables rule applied
T+0.4s Webhook fired · PagerDuty
T+0.5s Webhook fired · Slack #incidents
09:14:02 PPS=12,800 BPS=495Mbps MITIGATED
API uptime: 100%
Customers impacted: 0
SLA credits: $0
_
Key Features
Built for SaaS operations teams
API and webhook integration
Flowtriq fires webhook alerts in real time to any endpoint. Integrate with PagerDuty, OpsGenie, Datadog, or your own internal tools. Pull metrics and incident data via the REST API to build custom dashboards or automate runbooks.
Multi-region monitoring
Deploy the FTAgent on servers across AWS, GCP, Azure, bare metal, or any combination. Every node reports to the same dashboard regardless of provider or region. See your global infrastructure in one view and detect attacks targeting any region.
SLA incident reports
Every incident generates a detailed report with timestamps, traffic volumes, attack classification, and mitigation actions. Use these for customer-facing postmortems, SLA compliance documentation, and internal engineering reviews.
Multi-layer auto-mitigation
Malicious traffic is dropped before it reaches your application process. The first line of defense uses iptables or nftables rules at the kernel level, so your Node.js, Python, or Go application never sees attack packets. For volumetric attacks that exceed your server capacity, Flowtriq automatically escalates to BGP FlowSpec or upstream cloud scrubbing. Response times stay normal for legitimate users at every escalation tier.
Dynamic baselines
SaaS traffic patterns change throughout the day. Flowtriq learns your traffic curves, from Monday morning login spikes to quiet weekend hours, and adjusts detection thresholds automatically. Legitimate traffic surges do not trigger false alerts.
Role-based access for your team
Give your SRE team admin access, your developers analyst access, and your customer success team read-only access. Everyone sees what they need without accessing what they should not. Unlimited seats at no extra cost.
Getting Started
Add Flowtriq to your SaaS stack in minutes
Deploy alongside your existing infrastructure. No DNS changes, no proxy configuration, no traffic rerouting.
Create your workspace
Sign up and create a workspace for your SaaS platform. Invite your SRE and engineering team. The 7-day free trial starts immediately with full access to all features, no credit card required.
Deploy agents across your infrastructure
Install the FTAgent on each server: API gateways, application servers, database hosts, and worker nodes. Use your existing deployment tools like Ansible, Terraform, or Kubernetes DaemonSets. Each agent uses under 0.1% CPU and 30MB RAM.
Connect your incident response tools
Set up webhook alerts to PagerDuty, OpsGenie, Slack, or any HTTP endpoint. Configure escalation policies so critical attacks page your on-call engineer while minor anomalies go to a Slack channel. Flowtriq fits into your existing runbook.
Enable firewall rules and monitor
Turn on firewall rules for your public-facing nodes. Within 24 hours, Flowtriq calibrates dynamic baselines from your real traffic patterns. Review the analytics dashboard to understand your traffic profile and fine-tune thresholds if needed.
By the Numbers
The impact on your SaaS operations
Before & After
How Flowtriq transforms your incident response
Without Flowtriq
- Attacks detected by customer complaints
- Manual investigation to identify attack vector
- API returns 503 to all tenants during attack
- SLA credits issued to enterprise customers
- Postmortem with incomplete data
- Customer trust erodes after public outage
- Engineering team pulled from feature work
With Flowtriq
- Sub-second automated detection
- Instant classification with confidence score
- Attack traffic dropped before reaching application
- Zero SLA impact, zero credits
- Detailed incident report with full timeline
- Customers never know an attack occurred
- Engineering team stays focused on product
Pricing
Simple per-node pricing for SaaS teams
Monitor your API servers, workers, and database hosts at the same per-node price. Unlimited team seats, unlimited webhooks, unlimited incident reports. No bandwidth fees, no overage charges.
FAQ
Common questions from SaaS teams
How do I deploy across multiple regions?
Install the FTAgent on servers in any region or cloud provider. All agents report to the same Flowtriq workspace regardless of where they run. You can group nodes by region, environment (production vs staging), or service name. There is no limit on the number of regions or providers.
Can I integrate with PagerDuty, Datadog, or other monitoring tools?
Yes. Flowtriq sends webhook alerts in real time to any HTTP endpoint. Native integrations include PagerDuty, OpsGenie, Slack, Discord, and email. For tools like Datadog or Grafana, use the webhook integration to forward incident data. You can also pull metrics and incidents via the Flowtriq REST API.
Can I generate SLA impact reports for my customers?
Yes. Every incident in Flowtriq includes a detailed timeline with traffic volumes, attack classification, mitigation actions, and resolution time. You can export these reports as documentation for customer communications, SLA compliance reviews, and internal postmortems. Reports include evidence that your platform remained available during mitigated attacks.
Does Flowtriq work behind a load balancer?
Yes. Install the FTAgent on both your load balancer and your backend servers. The agent on the load balancer monitors aggregate inbound traffic and detects volumetric floods. Agents on backend servers detect application-layer anomalies. Both layers work together for comprehensive coverage.
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