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Case study · Automotive

Consumer-facingat automotive scale.

A large global automotive enterprise running extensive consumer-facing digital platforms: connected services, membership programs, e-commerce and vehicle-related applications. Those platforms serve a rapidly growing user base and need high availability, elastic scalability and frequent feature updates to keep pace with consumer expectations. As digital services became central to customer engagement and growth, traditional IT architectures and delivery models could not keep up with traffic surges, rapid iteration cycles and rising system complexity.

Constraints and answers

Traffic that outgrew the architecture

The rebuild that caught up

The constraints5
01

Legacy architecture that could not scale

Legacy platform architecture could not scale effectively as user growth exceeded projections, overwhelming server capacity.

02

Waterfall delivery delayed frequent feature updates

Consumer-facing applications required frequent feature updates, but traditional waterfall development delayed releases by weeks or months.

03

Peak campaign traffic strained system stability

High-concurrency traffic during campaigns and peak usage periods strained system stability and responsiveness.

04

Limited observability slowed issue resolution

Limited observability and fragmented operations reduced visibility into application behavior and slowed issue resolution.

05

Delivery processes without agility or automation

Existing IT delivery processes lacked the agility and automation required for continuous innovation.

The answers4
01

Microservices governance with standardized design

Unified microservices design standards, governance frameworks, and full-process monitoring using metrics, logs and traces, enabling monolithic applications to be decomposed into scalable microservices.

02

Resilient hybrid cloud architecture

A cloud-native hybrid environment with self-healing, elastic scaling and canary release mechanisms, built to carry traffic surges and high-concurrency workloads reliably.

03

Standardized migration with bimodal IT operations

A bimodal IT strategy let applications such as owner communities, coupons, e-commerce and shared services migrate using DevOps-driven agile and stable modes for continuous delivery.

04

End-to-end observability and operational control

Unified monitoring, logging and tracing across applications and infrastructure improved operational visibility, fault diagnosis and system governance.

Elastic capacity and canary releases turn a campaign peak into an ordinary release.

The results

Builds up 96.67%, deployment success up 53%.

96.67%
INCREASE IN DAILY BUILD FREQUENCY
Automation and standardized DevOps pipelines accelerated development cycles.
53%
IMPROVEMENT IN DEPLOYMENT SUCCESS RATE
Higher release reliability reduced failures during frequent application updates.
24
INCREASE IN APPLICATION RELEASE EFFICIENCY
One deployment now runs across multiple clusters and clouds.
PLATFORM STABILITY AND RESILIENCE
Improved reliability supported large-scale consumer automotive services.

Deploy once, run across every cluster and cloud. That is the whole operating model.

The stack

What was deployed

Supports analysis and optimization where required, giving data-driven insight and service intelligence across consumer-facing applications.

The cloud-native operating platform for microservices governance, DevOps enablement, observability and unified multi-cloud management.

The scalable, resilient infrastructure foundation for high-concurrency consumer workloads, elastic scaling and hybrid cloud deployment.

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