Use Case
Major Retailer
Simplifying multi-team service delivery across 250+ apps in Cloud Foundry and Kubernetes
Challenge
A major European retailer was running more than 250 microservices across multiple teams and clouds. With a mix of Cloud Foundry and Kubernetes environments, they faced challenges in standardizing how teams provisioned data services. MySQL and OpenSearch were essential to key business systems but provisioning processes varied, and observability was fragmented.
Solution
With over 250 internal and customer-facing apps across multiple lines of business, the retailer needed a way to standardize deployments, improve service delivery time, and reduce operational sprawl. They migrated to a9s Cloud Foundry as their centralized application platform, giving teams self-service capabilities and enabling more consistent delivery pipelines.
For data services, they adopted the a9s Data Service Bundle for Valkey (a9s KeyValue), replaced MySQL with a9s MariaDB, and OpenSearch (a9s Search) to provide highly available databases and data services on VMs automated with BOSH and integrated into Cloud Foundry via service brokers. As some business units began transitioning to Kubernetes, they leveraged Klutch to make these VM-based services consumable within Kubernetes clusters without duplicating the operational model or compromising security policies.
Impact
They reduced misconfiguration issues by 90% and improved uptime for customer-facing apps during high-traffic sales periods. Klutch enabled consistent governance and fast provisioning across both platforms, keeping platform teams efficient. The unified platform allowed teams across departments to operate consistently across environments. Using Klutch, developers in Kubernetes had access to the same reliable, production-grade databases as teams using Cloud Foundry, avoiding fragmentation. Platform engineers reduced support burden and avoided managing separate automation pipelines for pod-native databases. Standardized observability, backup policies, and versioning ensured platform compliance without slowing down product teams. The result: faster releases, fewer escalations, and greater platform trust across the organization.
By the Numbers
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