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Digitate Releases Eagle Version of Ignio

Digitate announced the general availability of its latest release to help advance greater agility and resiliency in digital enterprises.

With artificial intelligence (AI) at its core, Digitate expands its integrated SaaS-based AIOps platform with closed-loop automation, advanced observability, and a single-pane cloud management console that gives organizations a comprehensive, unified software suite to simplify their operations and increase business velocity.

The new release – Eagle – advances AI and machine learning (ML) capabilities across the entire ignio™ product line, solving key business challenges with better enterprise risk management, intelligent patching and compliance, automation of advanced SAP operations, and streamlined change management process. The Eagle release significantly enhances the overall user experience with customizable dashboards, proactive health checks, and centralized control with increased visibility for faster isolation and remediation of issues that have proven to cause enterprise-wide disruptions.

“Our core belief is that an autonomous enterprise driving agility and resiliency through intelligence and predictability is critical in delivering business outcomes and providing an unrivaled customer experience. This new release is advancing the autonomous enterprise by equipping our customers with an integrated SaaS platform that increases digital resiliency through advanced AI and analytics as well as better visibility across the tech stack,” said Akhilesh Tripathi, CEO of Digitate. “This latest release also expands our multi-cloud offerings to deliver seamless cloud operations with improved security and compliance, enabling customers to manage complex multi-cloud environments with greater consistency and resilience.”

ignio™ CloudOps brings state-of-the-art cloud operations to multi-cloud and hybrid environments, integrating and streamlining cloud management to deliver uniform vendor-agnostic monitoring, security, reporting, and remediation recommendations via a single source of truth.

Digitate’s cloud offering is both strengthened with the addition of a cloud console, a convenient interface to manage hybrid multi-cloud environments, optimize cloud costs, and the expansion across major platforms – AWS, Azure, and Google Cloud Platform (GCP).

ignio™ CloudOps provides deep understanding of the usage of all cloud resources and services. This granular visibility enables detailed reporting and proactive recommendations to optimize both cloud resources and cost, accelerating business value realization via more efficient cloud deployment. The solution also enables proactive and automated cloud life-cycle operations, minimizing service disruptions for scheduled upgrades and patching, meaning less down time and mean-time-to-resolve (MTTR), freeing up resources and assets through routine task automation.

The new release advances the autonomous enterprise, leveraging AI, ML, and automation to eliminate the need for most human intervention in technology operations. For customers, that means increased agility, resiliency, assurance, and a superior end-user experience.

The Eagle release version enables key applications, including:

- Autonomous IT risk management – Context-driven risk assessment across IT processes and intelligent automation to reduce risk and improve compliance.

- Autonomous SAP operations – Automated monitoring identifies issues and improves the health of SAP, systems, and networks, enabling rapid issue remediation before they impact businesses and optimizing supply chain operations.

Additionally, the Eagle release incorporates explainable AI to accelerate a user’s ability to understand the predictions of AI, facilitating insights that can quickly be adopted for business-critical decisions. Starting with ignio™ AI.Workload Management, Digitate’s approach draws on complex black-box algorithms to make accurate predictions, then explains these predictions with the post-hoc explanation methods.

The release also adds change management capabilities as part of proactive problem management to reduce change-induced risks for customers, enhancing agility and improving the reliability of their operations by providing impact analyses of change events.

The release of the Eagle version introduces several improvements to the ignio™ product portfolio:

- Amplified intelligence through features such as learning user behavior to suppress alerts, automatic context creation from logs, explainable intelligence, and process flow mining.

- Simplified user experience through an intuitive user interface, effectiveness reports, and remote execution of remediation actions on end-user devices.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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Digitate Releases Eagle Version of Ignio

Digitate announced the general availability of its latest release to help advance greater agility and resiliency in digital enterprises.

With artificial intelligence (AI) at its core, Digitate expands its integrated SaaS-based AIOps platform with closed-loop automation, advanced observability, and a single-pane cloud management console that gives organizations a comprehensive, unified software suite to simplify their operations and increase business velocity.

The new release – Eagle – advances AI and machine learning (ML) capabilities across the entire ignio™ product line, solving key business challenges with better enterprise risk management, intelligent patching and compliance, automation of advanced SAP operations, and streamlined change management process. The Eagle release significantly enhances the overall user experience with customizable dashboards, proactive health checks, and centralized control with increased visibility for faster isolation and remediation of issues that have proven to cause enterprise-wide disruptions.

“Our core belief is that an autonomous enterprise driving agility and resiliency through intelligence and predictability is critical in delivering business outcomes and providing an unrivaled customer experience. This new release is advancing the autonomous enterprise by equipping our customers with an integrated SaaS platform that increases digital resiliency through advanced AI and analytics as well as better visibility across the tech stack,” said Akhilesh Tripathi, CEO of Digitate. “This latest release also expands our multi-cloud offerings to deliver seamless cloud operations with improved security and compliance, enabling customers to manage complex multi-cloud environments with greater consistency and resilience.”

ignio™ CloudOps brings state-of-the-art cloud operations to multi-cloud and hybrid environments, integrating and streamlining cloud management to deliver uniform vendor-agnostic monitoring, security, reporting, and remediation recommendations via a single source of truth.

Digitate’s cloud offering is both strengthened with the addition of a cloud console, a convenient interface to manage hybrid multi-cloud environments, optimize cloud costs, and the expansion across major platforms – AWS, Azure, and Google Cloud Platform (GCP).

ignio™ CloudOps provides deep understanding of the usage of all cloud resources and services. This granular visibility enables detailed reporting and proactive recommendations to optimize both cloud resources and cost, accelerating business value realization via more efficient cloud deployment. The solution also enables proactive and automated cloud life-cycle operations, minimizing service disruptions for scheduled upgrades and patching, meaning less down time and mean-time-to-resolve (MTTR), freeing up resources and assets through routine task automation.

The new release advances the autonomous enterprise, leveraging AI, ML, and automation to eliminate the need for most human intervention in technology operations. For customers, that means increased agility, resiliency, assurance, and a superior end-user experience.

The Eagle release version enables key applications, including:

- Autonomous IT risk management – Context-driven risk assessment across IT processes and intelligent automation to reduce risk and improve compliance.

- Autonomous SAP operations – Automated monitoring identifies issues and improves the health of SAP, systems, and networks, enabling rapid issue remediation before they impact businesses and optimizing supply chain operations.

Additionally, the Eagle release incorporates explainable AI to accelerate a user’s ability to understand the predictions of AI, facilitating insights that can quickly be adopted for business-critical decisions. Starting with ignio™ AI.Workload Management, Digitate’s approach draws on complex black-box algorithms to make accurate predictions, then explains these predictions with the post-hoc explanation methods.

The release also adds change management capabilities as part of proactive problem management to reduce change-induced risks for customers, enhancing agility and improving the reliability of their operations by providing impact analyses of change events.

The release of the Eagle version introduces several improvements to the ignio™ product portfolio:

- Amplified intelligence through features such as learning user behavior to suppress alerts, automatic context creation from logs, explainable intelligence, and process flow mining.

- Simplified user experience through an intuitive user interface, effectiveness reports, and remote execution of remediation actions on end-user devices.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...