ArxstonARXSTON

Enterprise Case Study

Standardizing CI/CD at Scale Across 300+ Microservices

How Arxston replaced fragmented Jenkins pipelines with a standardized, secure AWS-native CI/CD platform capable of supporting hundreds of independently deployed services.

Client identity anonymized due to enterprise confidentiality obligations.

Client Context & Challenges

Client Context

The client operated a large-scale microservices architecture with over 300 independently deployed services supporting business-critical systems.

CI/CD pipelines evolved organically on Jenkins, resulting in fragmented pipelines, inconsistent delivery standards, and growing operational risk during releases.

Core Challenges

  • Manual and inconsistent pipeline configurations
  • Pipeline architecture unable to scale consistently across hundreds of services
  • Weak security and compliance enforcement
  • Slow onboarding and high cognitive load for developers

Why This Problem Mattered

As service count increased, CI/CD became a bottleneck rather than an enabler. Pipeline changes were slow, error-prone, and difficult to audit across teams.

This introduced systemic risk: inconsistent release behavior, uneven security enforcement, and growing friction between platform teams and service owners.

“The delivery platform itself was becoming a constraint on scale.”

Engineering Approach

From fragile pipelines to a standardized DevOps platform.

  1. 1. Pipeline Standardization

    A template-driven CI/CD model was introduced to enforce consistent delivery behavior across services, with infrastructure and pipelines defined as code.

  2. 2. Configuration-Driven Customization

    JSON-based interfaces enabled teams to customize pipelines without duplicating or modifying shared logic.

  3. 3. Automated, Event-Driven Execution

    Pipelines executed automatically on code merge, ensuring fast, repeatable, and synchronized deployments.

  4. 4. Security as a Non-Negotiable Control

    Security scanning, secrets management, and access controls were enforced as mandatory stages in every pipeline.

Standardized AWS CI/CD Platform Architecture

A centralized CI/CD platform replacing fragmented Jenkins pipelines with AWS-native workflows designed for scale, auditability, and controlled change.

Standardized AWS CI/CD Platform Architecture

CDK-based templates enforced consistency across services, while JSON configuration enabled service-level flexibility without increasing long-term maintenance overhead.

High-level, anonymized architecture illustrating the Jenkins to AWS CI/CD migration.

Measurable Impact

0+
Microservices Standardized
Unified CI/CD model
0%
Reduction in Pipeline Setup Effort
New service onboarding
0
Manual Pipeline Provisioning
Post-standardization
0%
Policy-Enforced Pipelines
Security & quality gates

Transformation Journey

01

Assessment

Identified pipeline inconsistencies, scalability limits, and operational risk.

02

Design

Defined a CDK-based, template-driven CI/CD architecture.

03

Migration

Gradually migrated 300+ services from Jenkins to AWS CI/CD.

04

Optimization

Strengthened security controls and reduced cognitive load for engineering teams.

Technology Stack

AWS

AWS CI/CD

Managed CI/CD services.

CDK

AWS CDK

Infrastructure and pipeline templating.

GIT

GitHub

Source control and pipeline triggers.

SEC

CodeQL

Static security analysis.

SONAR

SonarQube

Code quality enforcement.

OBS

Datadog

Monitoring and observability.

Conclusion

Replacing fragmented Jenkins pipelines with a standardized AWS-native CI/CD platform transformed delivery from a collection of bespoke workflows into a governed, scalable system. The result was predictable delivery, enforced controls, and a platform capable of supporting continued service growth.

Related Capability

DevOps, SRE & Reliability Engineering

This transformation was delivered as part of Arxston’s DevOps and reliability engineering practice — standardizing CI/CD, enforcing security and quality gates, and enabling scalable, predictable delivery across hundreds of independently deployed services.

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