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Building a Scalable, Automated Kubernetes Platform

To streamline deployments, reduce manual overhead, and improve operational stability, we implemented a centralised, automated, and modular infrastructure approach for the client’s Kubernetes environments. By introducing infrastructure as code and automation tools, we enabled consistent, scalable, and reliable delivery processes across all stages of development.

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Client Overview

The client is a software provider focused on helping developers build and manage scalable, serverless backends. Their platform specialises in stateful microservices and supports a wide range of use cases in modern software development.

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Challenge

The client lacked standardized deployment processes across their Kubernetes environments, leading to:

Deployment Inefficiencies

Manual deployment processes created room for human error and slowed down delivery timelines.

Scaling Limitations

Existing infrastructure made it difficult to scale efficiently or release new features quickly.

Configuration Drift

Environment inconsistencies across development, staging, and production led to errors and debugging challenges.

Governance Gaps

Lack of centralised control and traceability hindered infrastructure visibility and operational compliance.

Solution

To address these challenges, Bion Consulting delivered a robust automation and infrastructure management solution, focused on consistency, scalability, and operational efficiency:

1. Deployment Automation & Helm Integration

Implemented Helm charts to standardise and automate application deployments on Kubernetes. This ensured consistent configuration across all environments and simplified updates.

2. Infrastructure Provisioning with Ansible

Adopted Ansible to automate infrastructure setup and environment configuration. This reduced manual effort, eliminated inconsistencies, and aligned infrastructure with best practices.

3. Terraform Workflow Optimisation with Terragrunt

Introduced Terragrunt to modularise Terraform workflows, improving reusability and control over multi-environment infrastructure. This allowed for more scalable and secure infrastructure deployments.

Together, these changes enabled a seamless, end-to-end automation pipeline for infrastructure and applications.

Results

The new automation framework significantly improved deployment reliability and operational efficiency:
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40% reduction in manual effort

Infrastructure and application provisioning were fully automated, improving productivity and reducing deployment overhead.

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35% improvement in deployment times

Streamlined pipelines accelerated release cycles, minimising downtime and enabling faster iteration.

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50% fewer configuration drift incidents

Consistent, version-controlled deployments ensured reliable and predictable environments.

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Enhanced governance and visibility

Integrated tooling provided better traceability, auditability, and compliance with internal policies.

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Lower operational overhead

Manual interventions were minimised, freeing up engineering capacity for innovation.

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Greater infrastructure consistency

Environments across development, staging, and production aligned closely, reducing environment-specific issues.

Technology Stack


To deliver scalable and reliable Kubernetes infrastructure, the following technologies were used:

  • Infrastructure Automation: Ansible, Terragrunt, Terraform
  • Containerisation & Orchestration: Kubernetes, Helm
  • Cluster Provisioning: Kubespray
By modernising deployment and provisioning processes, the client now operates with a high-performance, consistent infrastructure across all environments.


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