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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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...