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Transform management of your cloud operations
In our digital age, delivering an exceptional user experience is paramount. CGI SiteReliability360, deeply integrated with artificial intelligence (AI) and machine learning capabilities, excels in ensuring reliability through cloud-agnostic deployments and continuous monitoring to maintain stringent service level objectives (SLOs). The union of AI and cognitive technology provides a solid foundation for elevating user satisfaction, ensuring unwavering reliability and offering unparalleled efficiency in IT cloud operations management.
CGI SiteReliability360 leverages cognitive automation for efficient operations management and proactively addresses anomalies through auto-healing. It also optimizes role-based access, enables comprehensive telemetry, monitors resource utilization and manages costs effectively through a multi-tenant governance layer.
CGI SiteReliability360 is built on the principles of site reliability engineering (SRE) and includes features that empower engineers and application teams to simplify the complexities of a hybrid IT infrastructure.
- Decoupling of application blueprints from underlying infrastructure
- Deployment innovation
- Precise configuration management database mapping
- Smart event management and automated processes
- Intelligent auto-scale, auto-heal and auto-replace
- Business and IT process automation
- Multi-cloud management
- DevOps and DevSecOps
- Predictive self-healing
Benefits of CGI SiteReliability360
CGI SiteReliability360 harnesses the power of AI and machine learning to streamline IT asset management, event correlation and automation to offer a host of benefits, including:
- Improving productivity by bridging the gap between development and operations teams
- Automating repetitive processes to reduce effort and improve automation maturity by leveraging the automation marketplace
- Enabling hybrid cloud management and support
- Enabling recommended workflows and self-healing through AI-powered intelligence
- Facilitating AI-driven predictive analytics for proactive issue resolution to prevent downtime
- Proactively monitoring and analyzing application availability, capacity and performance
- Tracking clients’ service level objectives (SLOs)
- Categorizing, suppressing and prioritizing alerts intelligently through machine learning algorithms to reduce alert fatigue
- Maximizing rich telemetry and diagnostics
- Facilitating seamless integration of DevOps and DevSecOps