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Digitate Releases Dragon Version of ignio AIOps Suite

Digitate announced the general availability of its latest release, Dragon, which adds enhanced product functionalities across the entire ignio product line as well as new out-of-the box solutions that help enterprises kickstart and accelerate their digital transformation at scale.

Dragon introduces SaaS-based, pre-packaged solutions across IT and business operations that combine automation, AI, and machine learning, allowing enterprises at any stage of their digital journey to get started faster and maximize the return on their technology investments. These out-of-the-box solutions – IT Event Management, Business Health Monitoring, Business Service Level Agreement (SLA) Prediction, and IDoc Management for SAP – are designed to support common use cases for maximizing uptime and guaranteeing smooth operations.

With the vision to help enterprise operations migrate to the cloud, the Dragon version of the ignio flagship AIOps suite adds multi-cloud support with leading providers including Microsoft Azure and AWS. The release also expands the reach of ignio with a new, state-of-the-art observability module. ignio Observe offers a single, integrated monitoring platform that not only replaces disparate views across the IT landscape but also predicts system issues and resolves them autonomously. Additionally, the release improves the overall user experience with easy-to-use integrations, new, intuitive interfaces, and enhanced mobile app access.

Together, the new releases give Digitate customers a comprehensive, unified, and easy-to-use software suite to increase business velocity and achieve greater resilience and agility, while propelling their cloud migrations forward.

“This new release significantly expands and enhances product capabilities and delivers pre-packaged solutions on an integrated SaaS platform. Digitate is advancing the autonomous enterprise by equipping organizations with the industry’s first single-stack solution across IT operations, assurance, and business operations,” said Akhilesh Tripathi, CEO of Digitate. “As organizations navigate increasingly complex multi-cloud and hybrid environments in their cloud journeys, we are empowering our customers to innovate, migrate and manage workloads, and boost business outcomes by increasing productivity, lowering risk, and providing greater coverage, choice and control.”

ignio AIOps for Multi-Cloud Support, a new module of the AIOps suite, brings together visibility and intelligence across hybrid environments, providing a distinctive closed-loop solution that autonomously detects, analyzes, and remediates infrastructure, applications, and cloud resources. ignio AIOps for Multi-Cloud Support also identifies cloud waste and resource sprawl based on configuration, usage, and cost, and provides actionable recommendations to eliminate unnecessary costs and security risks. With cloud adoption on the rise, organizations are facing more operational and implementation complexities. ignio AIOps for Multi-Cloud Support makes it easier for organizations to manage IT landscapes efficiently as they migrate to the cloud.

Powered by AI and advanced machine learning capabilities, Digitate’s IT Event Management solution reduces event noise by proactively suppressing, filtering, and aggregating redundant alerts, as well as predicting and preventing issues. With increased visibility and actionable insights across the IT infrastructure, the solution reduces the risk of missing genuine alerts, speeds up resolution, eases operator overload, and boosts availability for a better customer experience. Enterprises globally are leveraging the new IT Event Management solution to speed up incident resolution, reducing alert noise and service impacts.

All organizations must respond to IT incidents, which is why solutions to manage them efficiently – screening out unnecessary alerts without overlooking important ones – are key, according to Valerie O’Connell, Research Director from Enterprise Management Associates. “One way or another, all organizations do incident management. If they didn’t, they’d be out of business. It’s a question of how well they do it,” O’Connell says. “AI and ML can be game changers, making it possible to identify potential incidents so they can be addressed before any impact to users or the business. It’s not unusual for event management initiatives to detect and remediate 40% -- or more -- of incidents prior to impact. When looking for an event management system, scalability, flexibility, and time to value share top billing with cost. Equally important is the ability to scale the use of both AI and automation to meet organizations where they are today – and to keep pace with maturing demands for increasingly advanced capabilities over time.”

ignio Observe is a comprehensive monitoring module that covers metrics, alerts, and logs, providing a single, unified view across all components of the organization’s infrastructure. It draws on industry-leading machine learning algorithms to swiftly mine and analyze millions of log lines and highlight behavior patterns that may be problematic.

ignio Observe proactively identifies and even predicts system issues, then offers solutions. As a result, Digitate customers gain end-to-end visibility to monitor, troubleshoot, and prevent business-critical incidents early and reduce ticket volumes, thereby reducing the time and efforts required by the IT team.

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Digitate Releases Dragon Version of ignio AIOps Suite

Digitate announced the general availability of its latest release, Dragon, which adds enhanced product functionalities across the entire ignio product line as well as new out-of-the box solutions that help enterprises kickstart and accelerate their digital transformation at scale.

Dragon introduces SaaS-based, pre-packaged solutions across IT and business operations that combine automation, AI, and machine learning, allowing enterprises at any stage of their digital journey to get started faster and maximize the return on their technology investments. These out-of-the-box solutions – IT Event Management, Business Health Monitoring, Business Service Level Agreement (SLA) Prediction, and IDoc Management for SAP – are designed to support common use cases for maximizing uptime and guaranteeing smooth operations.

With the vision to help enterprise operations migrate to the cloud, the Dragon version of the ignio flagship AIOps suite adds multi-cloud support with leading providers including Microsoft Azure and AWS. The release also expands the reach of ignio with a new, state-of-the-art observability module. ignio Observe offers a single, integrated monitoring platform that not only replaces disparate views across the IT landscape but also predicts system issues and resolves them autonomously. Additionally, the release improves the overall user experience with easy-to-use integrations, new, intuitive interfaces, and enhanced mobile app access.

Together, the new releases give Digitate customers a comprehensive, unified, and easy-to-use software suite to increase business velocity and achieve greater resilience and agility, while propelling their cloud migrations forward.

“This new release significantly expands and enhances product capabilities and delivers pre-packaged solutions on an integrated SaaS platform. Digitate is advancing the autonomous enterprise by equipping organizations with the industry’s first single-stack solution across IT operations, assurance, and business operations,” said Akhilesh Tripathi, CEO of Digitate. “As organizations navigate increasingly complex multi-cloud and hybrid environments in their cloud journeys, we are empowering our customers to innovate, migrate and manage workloads, and boost business outcomes by increasing productivity, lowering risk, and providing greater coverage, choice and control.”

ignio AIOps for Multi-Cloud Support, a new module of the AIOps suite, brings together visibility and intelligence across hybrid environments, providing a distinctive closed-loop solution that autonomously detects, analyzes, and remediates infrastructure, applications, and cloud resources. ignio AIOps for Multi-Cloud Support also identifies cloud waste and resource sprawl based on configuration, usage, and cost, and provides actionable recommendations to eliminate unnecessary costs and security risks. With cloud adoption on the rise, organizations are facing more operational and implementation complexities. ignio AIOps for Multi-Cloud Support makes it easier for organizations to manage IT landscapes efficiently as they migrate to the cloud.

Powered by AI and advanced machine learning capabilities, Digitate’s IT Event Management solution reduces event noise by proactively suppressing, filtering, and aggregating redundant alerts, as well as predicting and preventing issues. With increased visibility and actionable insights across the IT infrastructure, the solution reduces the risk of missing genuine alerts, speeds up resolution, eases operator overload, and boosts availability for a better customer experience. Enterprises globally are leveraging the new IT Event Management solution to speed up incident resolution, reducing alert noise and service impacts.

All organizations must respond to IT incidents, which is why solutions to manage them efficiently – screening out unnecessary alerts without overlooking important ones – are key, according to Valerie O’Connell, Research Director from Enterprise Management Associates. “One way or another, all organizations do incident management. If they didn’t, they’d be out of business. It’s a question of how well they do it,” O’Connell says. “AI and ML can be game changers, making it possible to identify potential incidents so they can be addressed before any impact to users or the business. It’s not unusual for event management initiatives to detect and remediate 40% -- or more -- of incidents prior to impact. When looking for an event management system, scalability, flexibility, and time to value share top billing with cost. Equally important is the ability to scale the use of both AI and automation to meet organizations where they are today – and to keep pace with maturing demands for increasingly advanced capabilities over time.”

ignio Observe is a comprehensive monitoring module that covers metrics, alerts, and logs, providing a single, unified view across all components of the organization’s infrastructure. It draws on industry-leading machine learning algorithms to swiftly mine and analyze millions of log lines and highlight behavior patterns that may be problematic.

ignio Observe proactively identifies and even predicts system issues, then offers solutions. As a result, Digitate customers gain end-to-end visibility to monitor, troubleshoot, and prevent business-critical incidents early and reduce ticket volumes, thereby reducing the time and efforts required by the IT team.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...