Hitachi Vantara to Boost Performance and Compliance of Cloud Applications

Hitachi Application Reliability Services for cloud operations integrate Site Reliability Engineering principles and AI-driven automation to modernize and improve the management and operations for cloud workloads by up to 25% beyond traditional standards.

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Frank Antonysamy, HItachi Vantara

 Hitachi Vantara, the digital infrastructure, data management and analytics, and digital solutions subsidiary of Hitachi Ltd. (TSE: 6501), today unveiled a new approach for developing, managing and automating cloud workloads that enhances the coordination between product engineering and operations teams and dramatically improves application reliability by more than 25% compared to traditional approaches. The new Hitachi Application Reliability Services, an evolved portfolio of cloud consulting and managed services helps clients accelerate innovation by migrating, modernizing, and managing cloud workloads, reliably and at scale.

The cloud is accelerating data-driven innovation and business agility, but the complexity of today’s cloud operating models is contributing to unexpected costs, outages and compliance and security risks. According to ESG, the four biggest hurdles for organizations to accelerate operations are the variety of application types, the time to coordinate between IT and DevOps, security concerns and a lack of visibility into how their apps and infrastructure align.1 To realize the full benefits of the cloud, new approaches to IT operations that enhance automation and simplification are required.

Hitachi Application Reliability Services optimizes cloud workloads for resiliency, performance and cost by incorporating a Site Reliability Engineering (SRE) focused strategy with application modernization and automation services. SRE is a software engineering approach to IT operations and our SRE approach automates and simplifies the software development lifecycle and workload management to remove unnecessary costs, risks and complexity associated with migrating, modernizing and running your apps, data platforms and infrastructure. The result is significant improvements in application availability with up to 25% improvement in the time it takes to detect and recover from faults, and 15% improvement in change failure rate, an underlying KPI that reflects the stability of releases and the availability of applications.

Hitachi Vantara’s cloud management services are delivered as managed services through Hitachi Application Reliability Centers. Leveraging automation and observability, these Hitachi centers modernize IT operations to more effectively integrate with the speed and efficiency already existing in most DevOps teams. These geographically dispersed physical and virtual centers of excellence are where cloud applications are monitored and optimized by our professional services to ensure client-defined KPIs are consistently achieved. Each site brings together best-in-class frameworks, design patterns, automated tools, and people to deliver SRE as-a-service and 24/7/365 cloud management. The first physical centers will be in Dallas, Texas and Hyderabad, India.

“Cloud accelerates an organization’s ability to be data-driven, and our strategy is to meet our clients wherever they are on their cloud journey to help them advance the modernization of their applications and IT operations with greater automation and simplicity. Achieving KPI-driven outcomes for cloud workloads requires a fundamental shift from simply managing infrastructure to managing the efficiency and reliability of the applications,” said, Frank Antonysamy, Chief Digital Solutions Officer at Hitachi Vantara. “Hitachi Vantara's Application Reliability Centers and engineering led cloud operations enables our clients to achieve true DevOps by fully integrating operations with engineering. Our cloud consulting and managed services helps our clients optimize their cloud workloads and processes and frees up resources and talent that can be deployed in new ways to accelerate their digital transformation with AI, data analytics and insights.”

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