Predictive Kubernetes Scaling That Understands Reality

Thoras scales your workloads with precision by combining real-world signals and infrastructure metrics — preventing outages, reducing cloud waste, and eliminating scaling guesswork.

Built by Engineers for Engineers

To handle the world’s largest Kubernetes deployments

Kubernetes “Autoscaling” Doesn’t Scale

Reactive autoscalers respond after it’s too late.

By the time HPA reacts to a traffic spike or config change, latency has already climbed. These tools require constant tuning, respond only after demand surges, and fail when traffic doesn’t follow the script.

Thoras predicts what’s coming

Thoras replaces reactive scaling with predictive, multi-signal intelligence, combining infrastructure metrics and real-world signals to scale before demand hits.

Why is Being Predictive so Important?

When you can reliably forecast demand, you no longer have to choose between performance and overspending.

50% utilization

Most teams run at only 50% utilization — wasting cloud spend just to avoid risk.

85%+ workloads

With Thoras, teams confidently run at 85%+ utilization — without sacrificing reliability.

HOW IT WORKS

From Install to Impact in Under 15 Minutes

1

Install Thoras with One Command

Deploy Thoras with a single Helm chart. No external APIs. No complex setup. Once installed, Thoras begins analyzing real-time traffic and historical workload behavior, instantly.

2

Connect to Your Existing Stack

Connect Thoras to Prometheus, Datadog, or Grafana to stream live telemetry — CPU/GPU, memory, request metrics. Enrich it with real-world signals like launches or traffic spikes to give Thoras full context.

3

Define Goals — Thoras Handles the Rest

Tell Thoras what matters most: reliability, efficiency, or cost. From there, it continuously adapts your infrastructure to meet demand — automatically, and without tuning thresholds.

How Does Thoras Predict So Precisely?

Thoras Ingests Time-Series Metrics

From your full observability stack — including Prometheus, Datadog, and Splunk — to understand workload behavior minute by minute.

Understand What’s Driving Demand

Correlate infrastructure usage with real-world events — like product launches, campaigns, or sudden traffic spikes — to scale preemptively, not reactively.

Learns and Predicts Automatically

Thoras combines historical trends and live signals to forecast future resource needs, no thresholds, no tuning, just adaptive scaling that stays ahead.

"Thoras feels like another SRE on our team — it redefined how we think about infrastructure. We’re no longer reacting to usage — we’re proactively optimized. Thoras eliminates waste, automates tuning, and gives us the confidence to scale without second-guessing cost."
Scott Estes
Director, Frameworks and Infrastructure
Vertical + Horizontal — Decided for You

Scaling That Thinks in Every Direction

Thoras analyzes workload behavior and predicts demand before it happens. It then chooses the right mix of vertical and horizontal scaling for each service, automatically.  

No restarts. No thresholds. No tuning. Just perfectly fitted workloads.

Beyond CPU/GPU
+ Memory. Powered by Real Signals.

Capacity Planning With Real-World Data

Thoras doesn’t just react to system metrics, it anticipates demand using real-world signals like product launches, user growth, ad traffic, business hours, and more.

By combining internal telemetry with external events, Thoras ensures your infrastructure scales proactively and intelligently, even when traffic patterns are unpredictable.

Zero Tuning. Zero Maintenance.

Your Cluster, on Autopilot

Once installed, Thoras scales your workloads for you — no tuning, no babysitting, no YAML.

Thoras fades into the background, and scaling is no longer a daily task. It just works,  so your team can focus on shipping, not sizing.

Tune HPA/VPA thresholds
Set CPU/memory requests & limits
Monitor Prometheus metrics
Watch Grafana dashboards
Write scaling YAML configs
Handle latency/ throughput spikes
Check cloud provider console  (EKS/GKE/AKS)
Forecast resource usage
Run kubectl scale commands
Analyze logs for patterns
Reconfigure autoscalers for new workloads
Capacity plan for traffic events
Proactive Infrastructure Optimization — Proven with Data

See the Value, Not Just the Graphs

Thoras doesn’t just optimize your infrastructure, it shows you exactly how much you’re saving. See the real cost impact of predictive autoscaling with per-workload breakdowns.

For every service, Thoras surfaces the before-and-after: current monthly cost, optimized cost, and total savings, all without drowning you in FinOps tooling.

FAQ

Frequently Asked Questions

Can Thoras help optimize my GPUs?

Yes. Thoras can forecast GPU workload demand and proactively scale your GPU resources to match upcoming needs. This means you can reduce idle GPU time, avoid last-minute provisioning delays, and ensure availability for high-priority workloads—whether for training, inference, or other compute-heavy jobs. By automatically rightsizing and scheduling GPU capacity based on predicted usage patterns, Thoras helps you run more efficiently while keeping costs under control.

We're migrating K8s to another environment, how can Thoras help?

Migrating comes with zero margin for error. Thoras gives you precision autoscaling without relying on HPA, VPA, or cloud-managed services. Our ML models adapt to your workloads and infrastructure, forecasting demand and allocating resources before spikes hit. You get cloud-grade elasticity on bare metal, without wasting a dime or risking downtime.

We're newly adopting K8s, how would Thoras help?

Don’t start with outdated tools. Most teams spend months tuning autoscalers, guessing resource requests, and reacting to noisy alerts. Thoras eliminates all of that. From day one, Thoras learns your workloads, makes resource decisions for you, and prevents scaling issues before they happen. You skip the growing pains and get straight to running production-ready systems, right.

Why does it matter to be predictive?

Because reactive tools lose you money, performance, and trust. By the time HPA notices a traffic spike, your users already feel the latency. By the time you respond to alerts, your team is already in firefighting mode. Thoras doesn’t wait. It forecasts demand based on historical usage and live signals, scaling just in time to avoid slowdowns, outages, or costly overprovisioning. Predictive means you never have to choose between safety and efficiency again.

Our K8s adoption is extremely mature, why would we introduce Thoras now?

Because maturity shouldn’t mean maintenance hell. If your team is still babysitting HPA thresholds, tuning requests, or manually right-sizing, that’s not maturity, that’s toil. Thoras replaces reactive tooling with proactive intelligence that runs 24/7. It finds the savings you missed, prevents the incidents you’ve come to accept, and scales your expertise without growing your team. You’ve already invested in Kubernetes, Thoras makes that investment self-optimizing.

If my traffic is predictable, why would I still need Thoras?

Predictable traffic doesn’t mean predictable systems. Rollouts, restarts, and cascading failures still happen. Thoras doesn’t just forecast traffic — it analyzes infrastructure signals, service dependencies, and real-world usage patterns to proactively prevent waste and performance degradation. Even if your traffic looks the same every day, we find the hidden inefficiencies and fix them before they hurt you.

Trusted by Engineers That Can’t Afford Mistakes

WHY THORAS.AI

Scale Before the Spike.

Thoras predicts demand before it happens, so you always have the right resources at the right time. Eliminate overprovisioning, slash cloud waste, and ensure reliability without manual tuning.

"Thoras also helps enterprises discover optimization opportunities within reliability to help save on cloud costs."

Rebecca Szkutak
Writer, TechCrunch

“By leveraging AI, companies can streamline their data operations while increasing speed and accuracy in decision-making.”

Brent Gleeson
Contributor, Forbes

“We’re excited to support Nilo, Jen, and the Thoras team. As thesis-driven investors, we’ve been seeking the next generation of software that tackles major SRE and DevOps challenges. Thoras is achieving impressive results in a short amount of time and addressing critical cloud costs and uptime issues faced by companies today.”

Van Jones
Deal Lead, Wellington Access Ventures

“We want customers to have the best of both worlds. AI/ML allows us to reduce noisy metrics and under utilized compute—without sacrificing performance.”

Nilo Rahmani
CEO, Thoras.ai

Trial Thoras for free, and start scaling immediately.