Cluster Control
Managed Kubernetes clusters reduce the operational overhead for your AI workloads.
Deploy AI Agents on AWS EKS at Scale
Launch production-ready AI agents on AWS EKS. Our platform provides the scalable, secure, and governed environment you need to deploy with total confidence.
Kubernetes-native deployment
Auto-scaling agent pods
Enterprise-grade security
Scale AI Agents:
On Cloud Infrastructure
AWS EKS provides the ideal environment for AI agent orchestration, delivering resilience, portability, and complete control over your AI deployments at any scale.
Pod Isolation
Each agent runs in an isolated pod, ensuring high fault-tolerance and reliability.
Elastic Scaling
Agent replicas scale automatically with workload demand using EKS node groups.
Secure Network
VPC-native networking and IAM roles protect all agent traffic and data.
Resource Purity
Optimize usage with precise pod configurations and avoid any cloud waste.
in Action
in Action
Discover the range of powerful enterprise use cases enabled when you run sophisticated AI agents on the AWS EKS platform with Lyzr.
Process Automation
AI agents automate complex, multi-step enterprise workflows running 24/7 on EKS.
Real-Time Analysis
Agents process live data streams, delivering critical insights at scale via EKS pods.
AI Assistants
Deploy conversational AI agents on EKS to handle your high-volume customer interactions.
Stop waiting on infrastructure. Ship AI agents to production on EKS in hours, not months.
Achieve Tangible Benefits
with AWS EKS
Enhanced Production Reliability
EKS keeps agents available with self-healing pods and seamless rolling updates.
Infinite Scalability
Horizontal pod autoscaling grows agent capacity as your enterprise workloads increase.
Optimized Cost Efficiency
Pay-per-use EKS node groups prevent overprovisioning for AI agent infrastructure.
Fully Compliance-Ready
Deploy with built-in audit trails, RBAC, and data residency on EKS.
Lyzr Platform Capabilities:
Built for EKS
Lyzr offers a complete deployment stack, from agent packaging to EKS orchestration, with no custom tooling required to get started.
Helm Deployment
Lyzr agents ship as Helm charts for standardized EKS deployment and version control.
Multi-Agent Orchestration
Coordinate specialized agents across EKS namespaces from a single control plane.
Integrated Observability Stack
Get native integration with CloudWatch and Prometheus for full agent visibility.
Secure IAM & Secrets
Agents authenticate via AWS IAM roles and Secrets Manager for zero hardcoded credentials.
CI/CD Support
Plug agent builds into your CI/CD pipeline for automated EKS deploys.
AI Agent Deployment
Options on EKS
| Feature | Manual Deploy | Basic Scripts | Lyzr |
|---|---|---|---|
| EKS Helm Support | Manual Charting | Template-based charts | Managed Helm Charts |
| Multi-Agent Coordination | No Central Control | Basic API calls | Unified Control Plane |
| Auto-Scaling Pods | Manual HPA Config | Limited metrics | Pre-Configured Autoscaling |
| Observability | Requires Manual Setup | Basic log shipping | Integrated Monitoring Stack |
| IAM Role Access | Manual Role Binding | Scripted roles | Native IAM Integration |
| CI/CD Pipeline Integration | Custom Scripts Needed | Webhook triggers | Automated Pipeline Hooks |
| Enterprise-Grade Governance | No policy enforcement | Limited rules | Granular Policy Controls |
| Audit Trails | No Built-in Logs | Basic event logs | Comprehensive Audit Logging |
| Data Privacy Controls | Shared data access | Manual VPC configs | VPC Isolation by Default |
| Deployment Speed | Weeks to Months | Days to Weeks | Hours to Production |
Why Choose Lyzr for
Your EKS Needs?
EKS-Optimized Design
Lyzr is purpose-built for Kubernetes-native AI agent deployment.
No Vendor Lock-In
Agents deployed via Lyzr are portable across all EKS clusters and regions.
Safety Controls
Lyzr enforces agent policies, rate limits, and audit logging at the EKS layer.
Rapid Deployment
Lyzr reduces EKS agent deployment from weeks to mere hours with our templates.
Trusted by Industry
Leading Companies
Global leaders in finance, technology, and logistics trust Lyzr to deploy, manage, and scale their most critical AI agents in production environments.
Lyzr has been a game-changer for our AI strategy. We were able to securely deploy AI agents on AWS EKS in under three days, a process that previously took six weeks. The production reliability and granular security controls are exactly what our enterprise environment demands.
VP Platform · Engineering, Global FinServ
Zero
Data exfiltration incidents
Deploy AI Agents on AWS EKS
in Four Steps
Connect Cluster
Link your existing AWS EKS cluster to Lyzr via a secure IAM role.
Configure Blueprint
Define agent behavior, tools, memory, and resource limits in our builder.
Deploy Agent
Push the agent to your EKS cluster using Lyzr's pre-configured Helm chart.
Monitor and Scale
Track agent performance in real-time and let pods autoscale as needed.
Your Questions About Deploying
AI Agents on AWS EKS
What does it mean to deploy AI agents on AWS EKS?
Deploying AI agents on AWS EKS means running your autonomous software agents within a managed Kubernetes environment on AWS. EKS provides the orchestration, scaling, and reliability needed for enterprise-grade AI workloads, handling the underlying infrastructure so you can focus on agent performance and business logic.
How does Lyzr help deploy AI agents on AWS EKS?
Lyzr simplifies the process by providing pre-built Helm charts, secure IAM integration, and automated monitoring setups. This removes weeks of manual configuration, allowing your teams to deploy governed and scalable agents onto EKS in hours, not months.
What are the prerequisites to deploy AI agents on EKS?
To get started, you will need an active AWS account with an EKS cluster already provisioned. You'll also need the necessary IAM permissions for Lyzr to interact with your cluster, along with standard kubectl access for verification, and a Lyzr account.
Does Lyzr support multi-agent deployment on EKS?
Yes, our platform is designed for multi-agent orchestration. You can deploy and manage multiple specialized agents across different EKS namespaces, enabling them to communicate and share memory or data securely, all from a unified control plane within Lyzr.
How does auto-scaling work for AI agents on EKS?
We leverage Kubernetes' Horizontal Pod Autoscaler (HPA). Lyzr pre-configures HPA to monitor agent CPU and memory usage. When load increases past a defined threshold, EKS automatically provisions new agent pods to handle the demand, ensuring consistent performance.
What security controls exist when deploying AI agents?
Security is paramount. Deployments are protected by VPC network isolation, IAM role-based access for agents, integration with AWS Secrets Manager to avoid hardcoded credentials, and Lyzr’s own policy layer for rate limiting and behavior enforcement.
Can I use my CI/CD pipeline to deploy Lyzr agents?
Absolutely. Lyzr provides pipeline-ready Helm charts that integrate seamlessly with tools like GitHub Actions, AWS CodePipeline, and Jenkins. You can easily automate the building, testing, and deployment of your AI agents directly into your EKS cluster.
How do I monitor AI agents deployed on AWS EKS?
Lyzr provides a native observability dashboard out of the box. We also offer deep integrations with Amazon CloudWatch for logging and metrics, as well as Prometheus and Grafana, giving your team complete visibility into agent performance and health.
What happens if an AI agent pod fails on EKS?
EKS provides built-in self-healing. If a pod fails a health check, Kubernetes automatically restarts it to restore service. Lyzr adds to this by preserving agent state where possible and sending immediate alerts so your team is aware of any disruptions.
Is deploying agents on EKS more cost-effective?
For continuous, long-running agent tasks, EKS is highly cost-effective compared to serverless options which can suffer from cold starts. Lyzr helps you optimize costs further by allowing precise resource limit settings, preventing waste and ensuring efficient use of nodes.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.