Transform your enterprise with autonomous IT and business operations
Get rid of the headaches of hands-on management of cloud and hybrid IT landscapes with Digitate’s freshly updated and expanded AIOps platform.
Digitate has led the way in helping enterprises autonomously transform their IT and business operations. Eagle is the latest release that helps enterprises continue to advance this journey. The new release of Digitate’s integrated SaaS-based AIOps platform, ignio™, powers organizations with enhanced autonomous operation capabilities, advanced observability, state-of-the-art explainable AI, sophisticated cloud management, and many other features to boost their operations with closed-loop automation and become more agile and resilient.
The Eagle release advances AI and machine learning (ML) capabilities, solving key business challenges with better enterprise risk management, intelligent patching and IT compliance, automation of advanced SAP operations, and streamlined change management that makes users’ operations more reliable by analyzing the potential impact of change events.
It also simplifies the overall user experience with customizable dashboards, proactive health checks, and centralized control with increased visibility, which means faster isolation and fixing issues that could cause enterprise-wide disruptions.
Easier cloud operations
No wonder cloud computing is so popular. It offers unparalleled flexibility to scale resources up and down as needed. But it can also open the door to runaway sprawl and multi-cloud management headaches.
With Eagle, Digitate supports fast, reliable, cost-effective cloud operations with powerful additions and upgrades, starting with ignio CloudOps, a module of ignio AIOps. ignio CloudOps provides a vendor-agnostic view of multi-cloud environments, cloud cost analytics, and automation that makes your operations simpler, more autonomous, and cost-effective.
With AI-powered context, insights, and intelligent automation to handle alert management, diagnostics, trouble-shooting, and self-healing, ignio CloudOps can make your cloud IT operations more resilient, agile, and efficient.
- Single-pane cloud console for easier management
- Support for AWS, Azure, and Google cloud environments
- Cost optimization feature to detect and consolidate unused or under-utilized cloud resources
- AI-enriched life-cycle operations – out-of-the-box automation libraries for IaaS and PaaS, including 500+ automated service operations (SOs) covering provisioning, user management, health checks, event management, compliance, and more
- Tag management
- Container (Kubernetes) support
Autonomous operations reduce risk and effort
Digital transformation promises quantum leaps in performance. But many enterprises are struggling to maintain their ever-expanding technology platforms manually, with skilled IT people spending long hours at routine tasks or chasing emergencies.
Digitate’s new release advances the autonomous enterprise, leveraging AI, ML, and automation to eliminate the need for most human intervention in technology operations. That means increased agility, resiliency, assurance, and a superior end-user experience.
- Autonomous IT risk mitigation – Observability-driven risk assessment across IT processes at all levels of your technology stack acts fast to close vulnerabilities and increase the safety of systems and networks, reducing risk and improving compliance.
- Autonomous SAP operations – Automated monitoring identifies issues and boosts the health of SAP applications, systems, and networks, remediating issues before they impact businesses and optimizing supply chain operations.
- Autonomous retail operations – Single-console view monitors critical business functions for in-store, warehouse, and online operations, including agentless, proactive health checks, data flow monitoring, and anomaly detection, lowering downtime and increasing customer satisfaction.
- SaaS-only platform complies with major regulatory requirements, including HIPAA, GDPR, and SOC2 Type 2.
- Better SLA compliance through more accurate predictions.
AI that shows its work
Addressing a major user concern about possible arbitrary or biased AI taking over decisions from humans, Eagle incorporates explainable AI. This is a first-of-its-kind development.
Typically, software vendors are forced to choose between “white-box” intelligence models (which are transparent in how and why they make decisions, but are by nature less complex) and “black-box” models (which are more powerful, wide-ranging, and accurate, but don’t reveal possible misunderstandings or biases). Digitate has adopted a “golden mean” between these extremes.
Starting with ignio AI.Workload Management, the company’s unique approach draws on complex black-box algorithms to make accurate predictions, then layers white-box techniques on top that essentially work backwards to trace and document all the decisions made along the way. This explainability gives users more confidence in ignio’s insights and adopting them for business-critical functions, such as accurately predicting process run times.
- Machine learning detects anomalies based on historical insights and real-time monitoring.
- State-of-the-art AI proactively identifies events, understands their root cause, and self-heals them.
- Change management capacity performs proactive analysis of change events and their likely consequences, reducing change-induced risks and boosting agility.
- Intelligent analytics proactively search for ways to optimize workload processes based on your business objectives and schedule.
Get end-to-end observability of your whole technology stack
In today’s highly distributed IT systems, a transaction can span many network boundaries. This challenges existing, tower-centric monitoring tools. Now Digitate introduces a request-centric observability tool that supports hybrid, serverless, dynamic application environments and delivers better visibility through a unified dashboard.
ignioTM Observe is an add-on module of ignioTM AIOps that derives actionable insights from machine data. It utilizes ML algorithms to mine distinct patterns from log files of historical data; it also monitors metrics from various technology stacks. It can spot problems before they take down your system.
- Log mining – Uses pattern detection algorithms to mine millions of log lines to detect distinct patterns.
- Log monitoring – Monitors logs in real time and raises events when a pattern match occurs.
- Metric monitoring – Monitors availability, network, and performance.
- Autonomous self-heal – Draws on pre-defined profiles to prioritize events and resolve alerts without manual intervention.
When IT works, business works
