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Hitachi Vantara Launches Application Reliability Centers

Hitachi Vantara unveiled Hitachi Application Reliability Services, 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.

Hitachi Vantara’s cloud management services are delivered as managed services through Hitachi Application Reliability Centers. Each center combines best-in-class frameworks, design patterns, automated tools, and experts to deliver SRE as-a-service and 24/7/365 cloud management. The first physical centers will be in Dallas, Texas and Hyderabad, India.

Hitachi Vantara’s cloud management services are delivered as managed services through Hitachi Application Reliability Centers. Each center combines best-in-class frameworks, design patterns, automated tools, and experts to deliver SRE as-a-service and 24/7/365 cloud management. The first physical centers will be in Dallas, Texas and Hyderabad, India.

Hitachi Application Reliability Services optimize 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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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

Hitachi Vantara Launches Application Reliability Centers

Hitachi Vantara unveiled Hitachi Application Reliability Services, 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.

Hitachi Vantara’s cloud management services are delivered as managed services through Hitachi Application Reliability Centers. Each center combines best-in-class frameworks, design patterns, automated tools, and experts to deliver SRE as-a-service and 24/7/365 cloud management. The first physical centers will be in Dallas, Texas and Hyderabad, India.

Hitachi Vantara’s cloud management services are delivered as managed services through Hitachi Application Reliability Centers. Each center combines best-in-class frameworks, design patterns, automated tools, and experts to deliver SRE as-a-service and 24/7/365 cloud management. The first physical centers will be in Dallas, Texas and Hyderabad, India.

Hitachi Application Reliability Services optimize 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."

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...