Automate Reliability.
Engineer Resilience.
Prove Outcomes.
Operations at scale can’t rely on manual effort. As enterprises move from automation to autonomy, operations must evolve into intelligent, AI-enabled systems that can detect, decide, and act in real time.
Hitachi Digital Services’ HARC platform combines Site Reliability Engineering (SRE) with automation, observability, and FinOps controls, creating an AI-enabled operations layer that continuously optimizes performance, reliability, and cost. The result: cloud environments that are not just monitored, but actively managed, self-optimizing, and engineered for always-on reliability with measurable outcomes.
Break Free from Reactive Operations
Traditional operations models buckle under the pressure of scale, complex multi-cloud environments, and business demands for speed. Manual firefighting drains resources and risks downtime. The opportunity is to move from reactive support to predictive, AI-enabled operations where reliability is engineered, issues are resolved before impact, and systems continuously improve.
Engineer Reliability into Everyday Operations
Embed site reliability principles into operations to improve uptime, reduce incidents, and align engineering teams to measurable service performance and reliability outcomes.
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Service Objectives
Define and manage SLOs and error budgets to guide reliability improvements. -
Shift-Left Reliability
Embed reliability into DevOps workflows to prevent issues earlier in development.
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Engineering Ownership
Align teams with clear accountability for service performance and reliability outcomes. -
Performance Discipline
Use metrics-driven practices to continuously improve system stability and uptime.
Move from Reactive Support to Predictive Operations
Apply automation and AI-driven insights to detect issues earlier, reduce noise, and accelerate resolution through intelligent event correlation and automated remediation.
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Alerts As Code
Standardize alerts and automate responses to reduce manual intervention and delays. -
Automated Remediation
Resolve incidents faster with predefined workflows and automated response actions. -
AI Root Cause
Use AI-driven analysis to identify root causes and reduce repeat incidents.
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Event Correlation
Reduce noise by correlating events and prioritizing critical issues for faster resolution. -
Predictive Insights
Anticipate failures early using machine learning and historical operational data patterns.
Deliver Real-Time Visibility Across Every Environment
Standardize observability using reusable templates, unified dashboards, and anomaly detection to provide consistent, real-time insight across hybrid and multi-cloud environments.
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Monitoring Templates
Standardize monitoring across services using reusable templates for consistency and speed. -
Unified Dashboards
Provide centralized visibility across systems, applications, and cloud environments in real time.
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Anomaly Detection
Detect performance issues early with automated anomaly detection and alerting systems. -
Full Visibility
Gain end-to-end observability across hybrid and multi-cloud infrastructure environments.
Align Cost, Performance, and Reliability Continuously
Integrate financial accountability into operations by detecting anomalies, automating optimization, and aligning performance and availability with cost efficiency across environments.
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Spend Monitoring
Detect and respond to cloud spend anomalies in real time. -
Rightsizing Automation
Automate resource optimization to reduce waste and improve efficiency continuously.
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Cost Alignment
Align cost, performance, and availability with business and operational priorities. -
Continuous Optimization
Improve cost efficiency through ongoing monitoring and automated optimization workflows.
Build Systems that Adapt and Sustain Performance
Build resilient architectures using testing, automation, and recovery strategies to ensure continuous availability and rapid recovery across regions, platforms, and failure scenarios.
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Chaos Testing
Validate system resilience through controlled failure simulations across environments and services. -
Self-Healing Systems
Enable automated recovery mechanisms to restore services quickly after disruptions.
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High Availability
Design systems to maintain uptime across regions, platforms, and infrastructure layers. -
Recovery Frameworks
Implement SLA-aligned recovery strategies to ensure consistent performance and uptime.
Raiffeisen Bank: Banking in the Cloud
Enhanced digital banking experiences through scalable, cloud-based innovation.
Aegon Life Accelerates Cloud Modernization
Migration to AWS Cloud improves reliability, security, and agility.
Portfolio Plus - Open banking services with cloud migration
Meeting customer demand for SaaS-based open banking services.
Worldwide Incident Command Services (WICS): Emergency services in the cloud
Migrating a critical emergency response management platform to cloud.
How We Work
We embed automation, reliability, and cost-efficiency into operations.
Reliability by design, automation at scale.
HARC is the operational backbone of the cloud environment, integrating reliability, performance, and cost control into one continuous system.
- Automated incident response and RCA
- Always-on observability across platforms
- Productivity increase with engineering-led RunOps
- Faster issue detection and resolution with automation
- Integrated FinOps + SRE for cost and performance optimization
Partners
INSIGHTS
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