Instantly optimize your AWS EC2 fleets. Our AI-driven engine predicts traffic spikes, scales intelligently, and reduces cloud costs by up to 65% with zero-downtime operations.
Monitor every heartbeat of your autonomous infrastructure with millisecond precision through our high-fidelity data stream.
Drag the slider to input your current monthly AWS EC2 spend and see how much you could save instantly with CloudPulse AI's predictive scaling.
ESTIMATED MONTHLY SAVINGS
Based on an average 65% reduction in over-provisioning.
Experience real-time reactive architecture with our enterprise-grade scaling algorithms and predictive machine learning models.
Our AI analyzes historical traffic patterns and preemptively scales nodes before the surge hits your application.
Visualize your entire EC2 infrastructure via an interactive 3D WebGL topology map. Manage nodes globally.
Automatically switch between Spot and On-Demand instances to guarantee SLA while cutting costs by up to 65%.
Websocket-enabled telemetry monitors CPU, RAM, and network I/O with millisecond precision, reacting instantly.
Unhealthy nodes are automatically isolated, drained, and replaced without dropping a active client connection.
Generate gorgeous, board-ready reports with our built-in D3.js powered analytics and historical metrics platform.
Manage auto-scaling fleets across multi-region AWS environments seamlessly. Deploy your instances globally and let our localized ML engines predict traffic patterns independently.
Traffic automatically shifts to healthy regions during outages.
Optimized BGP ANYCAST network rules generated on the fly.
Deploy across isolated Availability Zones for 99.999% SLA.
See how CloudPulse AI adapts to various high-performance industry workloads with bespoke scaling strategies.
Predictive ML ramps up your web fleet 10 minutes before marketing blasts hit, ensuring shopping carts never crash during peak periods.
Maintain consistent millisecond response times. CloudPulse isolates network I/O spikes and scales worker nodes instantly.
Spin up regional game servers autonomously based on predictive player telemetry and matchmaking queue lengths.
Interact with the CloudPulse engine via our high-performance SDKs, fully-typed REST API, or native Terraform provider. Built by engineers, for engineers.
Low-latency wrappers for fleet management and real-time telemetry streaming.
Manage your entire auto-scaling topology as code with our official provider.
Propagate fleet events to Slack, PagerDuty, or custom endpoints in < 20ms.
Advanced encryption, zero root access, and continuous compliance monitoring for your most critical workloads.
We use tightly-scoped Cross-Account IAM roles. We literally cannot read your database, application code, or secret keys.
SOC 2 Type II and ISO 27001 readiness out-of-the-box. Audit logs stream natively back to your AWS CloudWatch.
All telemetry data sent to our servers over WebSockets is TLS 1.3 encrypted and instantly anonymized.
Deploy CloudPulse into your AWS infrastructure in under 5 minutes with zero disruption to active workloads.
Provision a secure Cross-Account IAM Role via CloudFormation with minimal least-privilege permissions.
Set budget caps, instance type filters, and custom Auto-Scaling Group (ASG) scaling policies.
Enable the ML core to continuously analyze metrics and execute autonomous scaling actions.
Our proprietary neural network ingests over 50+ infrastructure metrics per second, predicting traffic spikes with extreme precision before a single packet is lost.
Decision making at the edge. No round-trips to central control during mission-critical scaling windows.
CPU, RAM, Network I/O, Error Rates, and Request Latency are fused into a single predictive model.
Distinguishes between organic traffic surges and DDOS attempts to protect your budget and fleet.
Only pay for a small fraction of the money you save.
For startups and hobby projects
For growing SaaS businesses
For massive fleet deployments
Join over 1,500+ DevOps teams who have automated their scaling and reduced cloud waste with CloudPulse AI.
"CloudPulse cut our AWS bill by 40% in the first month. The zero-downtime scaling engine is, quite literally, a game changer for our infrastructure reliability."
"The dashboard aesthetics are stunning, but the predictive ML models are the real star. We've almost entirely phased out manual scaling policies."
"Migrating to the predictive engine was seamless. Our incident rate dropped by 65% because the fleet now anticipates spikes rather than reacting to them."
Deep dives into the specialized engineering and machine learning that power CloudPulse AI.
An in-depth analysis of our Go-based WebSocket worker queues and how we synthesized multi-region state updates in near real-time.
Learn our strategy for mixing On-Demand and Spot instances dynamically, ensuring high-availability while slashing costs by 60%.
Our journey to building a 99.2% accurate traffic prediction algorithm using Long Short-Term Memory (LSTM) neural networks.
Quick answers to common questions about our platform, security, and integration.
Our engine analyzes 50+ historical traffic patterns and signal markers using LSTM neural networks. It preemptively triggers capacity adjustments 5-10 minutes before an anticipated surge hits your fleet, ensuring zero-latency scaling and maximum reliability.
Security is our core priority. We use cross-account IAM roles with granular, least-privilege permission sets (read-only for metrics, auto-scaling for cluster management). We never store long-term secrets or your AWS root keys.
Currently, the CloudPulse AI Engine operates natively with AWS EC2 and Auto-Scaling Groups. However, our architecture is cloud-agnostic, and multi-cloud readiness for Azure and GCP is currently in closed-beta for Enterprise clients.
Yes. While we specialize in EC2 Auto-Scaling, our predictive agent can integrate with Kubernetes Horizontal Pod Autoscalers (HPA) to provide the same intelligence layer to your containerized workloads.
Have questions about technical integration, custom SLAs, or need a guided platform walkthrough?
Join 500+ world-class engineering teams optimizing their cloud infrastructure with predictive intelligence.