Kubernetes Services

Kubernetes Services

Kubernetes Services

Kubernetes solutions for scalable, resilient and efficient application delivery

Kubernetes solutions for scalable, resilient and efficient application delivery

Kubernetes solutions for scalable, resilient and efficient application delivery

EZOps Cloud designs, deploys and operates Kubernetes environments that improve reliability, automate deployment workflows and optimize resource usage. We build enterprise-grade Kubernetes foundations that support modern applications with predictable performance, security and scalability.

What we deliver

We architect and operate Kubernetes clusters aligned with your application, traffic and reliability needs. From provisioning to workload management, we unify deployments, automate operations and ensure environments scale predictably without manual intervention or resource waste.

Why choose EZOps Cloud

Kubernetes demands more than cluster creation — it requires governance, automation and engineering maturity. With 700+ cloud platforms deployed and deep experience across AWS EKS, Azure AKS and GCP GKE, we deliver production-grade clusters, hardened configurations and scalable workload patterns that reduce downtime and simplify operations long term.

What you get

  • Production-ready Kubernetes clusters on EKS, AKS or GKE.

  • Automated deployments, scaling and workload orchestration.

  • Resilient architectures with observability, logging and policy enforcement.

  • Optimized resource usage through autoscaling and rightsizing.

  • Secure environments with hardened IAM, network policies and guardrails.

From fragmented workloads to automated Kubernetes operations

From fragmented workloads to automated Kubernetes operations

From fragmented workloads to automated Kubernetes operations

The challenges slowing your platform down

  • Workloads failing due to misconfigured clusters or node groups.

  • Manual deployments causing drift and reliability issues.

  • Resource waste from oversized nodes and unoptimized autoscaling.

  • Inconsistent environments across dev, staging and production.

  • Limited visibility into cluster health, logs and performance.

The advantages of Kubernetes done right

  • Resilient workloads with self-healing and automated rollouts.

  • Predictable environments aligned through GitOps and IaC.

  • Efficient autoscaling tuned for performance and cost.

  • Unified deployments through Helm, ArgoCD or native pipelines.

  • Full observability across nodes, pods, workloads and traffic.

FAQ

FAQ

FAQ

What is Kubernetes used for in modern cloud applications?

How does Kubernetes improve reliability and reduce downtime?

Should I choose EKS, AKS or GKE for my Kubernetes workloads?

How much does it cost to run Kubernetes in the cloud?

Can Kubernetes integrate with my CI/CD pipeline?

What is Kubernetes used for in modern cloud applications?

How does Kubernetes improve reliability and reduce downtime?

Should I choose EKS, AKS or GKE for my Kubernetes workloads?

How much does it cost to run Kubernetes in the cloud?

Can Kubernetes integrate with my CI/CD pipeline?

What is Kubernetes used for in modern cloud applications?

How does Kubernetes improve reliability and reduce downtime?

Should I choose EKS, AKS or GKE for my Kubernetes workloads?

How much does it cost to run Kubernetes in the cloud?

Can Kubernetes integrate with my CI/CD pipeline?

ACE Dev, the agentic AI cloud engineer automating DevOps workflows, resolving incidents and optimizing AWS, Azure and GCP environments autonomously
ACE Dev, the agentic AI cloud engineer automating DevOps workflows, resolving incidents and optimizing AWS, Azure and GCP environments autonomously
ACE Dev, the agentic AI cloud engineer automating DevOps workflows, resolving incidents and optimizing AWS, Azure and GCP environments autonomously

Meet your agentic AI cloud engineer

Meet your agentic AI cloud engineer

Meet your agentic AI cloud engineer

ACE Dev monitors, optimizes and operates Kubernetes clusters autonomously. It identifies failing workloads, adjusts resources, optimizes deployments and enforces guardrails — reducing engineering overhead and improving platform reliability.

ACE Dev monitors, optimizes and operates Kubernetes clusters autonomously. It identifies failing workloads, adjusts resources, optimizes deployments and enforces guardrails — reducing engineering overhead and improving platform reliability.

ACE Dev monitors, optimizes and operates Kubernetes clusters autonomously. It identifies failing workloads, adjusts resources, optimizes deployments and enforces guardrails — reducing engineering overhead and improving platform reliability.

  • Detects failing pods and fixes configuration issues automatically.

  • Suggests node sizing, scaling policies and workload optimizations.

  • Applies deployment best practices without human intervention.

  • Ensures consistent, drift-free environments across all clusters.

  • Reduces operational load through continuous, autonomous optimization.

  • Detects failing pods and fixes configuration issues automatically.

  • Suggests node sizing, scaling policies and workload optimizations.

  • Applies deployment best practices without human intervention.

  • Ensures consistent, drift-free environments across all clusters.

  • Reduces operational load through continuous, autonomous optimization.

Optimize Kubernetes deployment and management today

Optimize Kubernetes deployment and management today

Optimize Kubernetes deployment and management today

Kubernetes infrastructure diagram visualizing container orchestration, cluster scaling, workload optimization and resilient multi-environment deployments
Kubernetes infrastructure diagram visualizing container orchestration, cluster scaling, workload optimization and resilient multi-environment deployments