key points
Numendo supported a Swiss private bank in progressively optimizing software deployments and environment monitoring. Through automation (Puppet, CI/CD), advanced monitoring implementation (Grafana), and architecture improvements, teams gained efficiency, stability, and responsiveness. This intervention aligns with a continuous evolution toward more robust and sustainable DevOps practices.
of automations are reproducible across all services
of governance became proactive
context
This initiative fits into a broader infrastructure modernization program aimed at securing deployments, automating critical operations, and ensuring enhanced governance across the entire application lifecycle—whether on-premise or in the cloud. The mission was conducted within the Software Integration Services department, working closely with the Tindaro team.
intervention
• Deployment Industrialization: Streamlining and securing application installations across multiple servers using Puppet.
• Advanced Monitoring: Setting up real-time tracking of technical and business metrics with Grafana.
• CI/CD Pipelines: Building and automating delivery pipelines under Bamboo to foster a faster, controlled, and repeatable release cycle.
• Production Oversight: Actively monitoring production environments with preventive and corrective actions to guarantee service continuity.
• Architecture Optimization: Evaluating and refining technical architectures in line with the organization’s cloud and on-premise strategies.
• Task Automation: Automating recurring tasks to free up team bandwidth and minimize risky manual operations.
• Containerization & Security: Introducing containerization solutions and reinforcing security through regular vulnerability audits.
• Agile Collaboration: Partnering with Product Owners and technical teams with an emphasis on incremental improvement and knowledge sharing.
results
By focusing on the progressive evolution of tools and methodologies, the bank laid the groundwork for a lasting DevOps approach while securing its most sensitive applications. The impact is reflected both in the reduction of operational risks and in the continuous improvement of service quality.