75% Faster Deployments for Ataccama's AI Platform
The Pain
Ataccama, an international data management company with over 200 global customers, needed to modernize from monolithic legacy applications to cloud-native architecture. The team faced challenges with deployment agility, scalability, and the need to support innovation initiatives like generative AI. Manual processes and environment inconsistencies were slowing development [citation:5].
The Intervention
I architected a container-based infrastructure using Docker that enabled seamless portability across on-premises and cloud environments. I implemented Docker Compose for local development, standardized deployment processes, and established DevOps practices that empowered developers. The solution included migrating to microservices architecture and implementing automated CI/CD pipelines [citation:5].
The Profit
Deployment lead times dropped by 75%, and time from development to production improved by 50%. Server footprint shrank by 40%, CPU usage per application decreased by 33%, and scalability improved dramatically—handling double the application instances seamlessly. The modernization unlocked rapid prototyping of GenAI features and positioned Ataccama as an innovation leader in data management [citation:5].