Services
About Mphasis
The client is a global energy technology company that provides infrastructure provisioning and automation on Amazon Web Services (AWS) Cloud. In order to gain competitive advantage, it wanted to standardize processes, enhance infrastructure provisioning, and shorten time to market.
High manual errors and increasing costs hampered the productivity of the client. A detailed analysis revealed that the following issues needed to be addressed on priority.
• Ineffective tools/process integration between software development and IT operations
• Extended time for provisioning and deployments, leading to lengthy time to market
• Lack of standardized processes and tools, and minimal automation
We leveraged our expertise in program management, architecture, cloud, and Agile and DevOps to address client challenges. From execution in Agile mode to monitoring and test automation; we partnered with the client to enhance infrastructure provisioning and automation as follows:
• Segregated various environments (INT, SQE, PPR, and production) and automated deployment for AWS cloud environments
• Set up appropriate controls and delegation credentials for operations management
• Streamlined processes and increased transparency in operations
• Automated test and production environments and provisioned for DevOps projects
• Implemented capacity management, service cost monitoring, and optimization practices
• Reduced time to incident resolution and enhanced root-cause analysis through site reliability engineering (SRE) practices
By leveraging cutting-edge technology and an effective engagement model, we automated infrastructure as code (IaC) for geo-distributed apps on AWS and delivered continuous improvements in DevOps metrics through SRE. The client gained the following benefits:
• Reduced deployment time from days to minutes through push button deployment
• Minimized costs by 23 percent across delivery
• Improved speed to market by 58 percent
• Reduced defects by 34 percent
• Supported four AWS regions for geo-distributed and automated deployments