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Systems Integrator

Enabling CGI to manage Kubernetes securely across multiple clouds

Deployment time reduced from 1 week to 1 hour

Platforms
1 week → 1 hour
Deployment Time
0 clouds
AWS, Azure & GCP
Zero
Operational Overhead

The Challenge

Multi-cloud Kubernetes beyond AWS

CGI's machine learning platform, Lovelace, was developed exclusively on AWS EKS using CloudFormation templates. While this worked well for AWS deployments, it could not provision to other cloud-managed Kubernetes clusters such as Azure AKS or GCP GKE, limiting the options available to CGI's customers.

Cloud provider-specific tools couldn't transfer between AWS, Azure, and GCP, and native tooling lacked scalability beyond AWS. Outdated Kubernetes versions risked exposure to security vulnerabilities, while manual configuration for TLS, DNS, and open-source tooling required constant monitoring and evaluation.

  • × Lovelace platform built exclusively on AWS EKS using CloudFormation templates
  • × Could not provision to Azure AKS or GCP GKE, limiting customer options
  • × Cloud provider-specific tools couldn't transfer between AWS, Azure, and GCP
  • × Native tooling lacked scalability beyond AWS
  • × Outdated Kubernetes versions risked exposure to security vulnerabilities and attacks
  • × Manual configuration for TLS, DNS, and open-source tooling required constant monitoring and evaluation

Our Approach

Wayfinder-powered multi-cloud Kubernetes management

Appvia deployed Wayfinder to replace cloud-specific tooling with a single management layer across all three cloud providers, automating provisioning, security hardening, and platform component configuration.

1

Automated Cluster Provisioning Management

Abstracted cloud provider-specific options, enabled self-served clusters and namespaces with automated best practices, and supported on-demand auto-scaling.

2

Automated Policy Administration & Security Hardening

Highest security standards across clusters, least-privilege and time-based access, CIS benchmark compliance without human error, pod security restrictions and network policies.

3

Automated Configuration of Platform Components

ExternalDNS, Cert-Manager, and Nginx ingress controller provisioned automatically with zero operational overhead.

4

Consolidated Management Interface

Simplified creation and maintenance of secure Kubernetes clusters across GKE, AKS, and EKS from a single interface.

The Outcome

Measurable impact across all clouds

Wayfinder eliminated the complexity of managing Kubernetes across multiple clouds. CGI's teams can now focus on building applications rather than fighting infrastructure.

Deployment time slashed

Deployment time reduced from 1 week to 1 hour through automated provisioning and configuration.

Secure multi-cloud Kubernetes

Secure Kubernetes management across AWS, Azure, and GCP from a single platform.

Developer focus maintained

Teams maintained focus on application development instead of infrastructure management.

Automated maintenance

Automated patches, updates, and upgrades for Kubernetes, OS, and networking.

Deployment at scale

Application deployment at scale with GitOps integration across all cloud providers.

Security best-practice adherence

All clusters managed with security best-practice adherence, including CIS benchmarks and least-privilege access.

Key Metric

1 week → 1 hour

Deployment time reduction

Ready to get started?

Whether you need a cloud assessment, a platform accelerator, or a fully managed service - let's start with a conversation.

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