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Digitate ignio AIOps Platform Available on AWS Marketplace

Digitate announced the general availability of its flagship product ignio™ in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS).

Digitate’s AI-powered solutions integrated with key AWS products and services delivered significant improvements in IT operations performance, scalability, and cost-effectiveness for global Fortune 500 customers. With the listing of ignio, AWS customers will now have access to the operational benefits of ignio directly within AWS Marketplace, including:

  • Unified observability to enable better visibility across hybrid, multi-cloud environments.
  • AI-powered insights that leverage deep AI/ML models to analyze diverse datasets, provide detailed insights and detect issues across IT and business operations, predict future state, and recommend fixes and proactive actions.
  • Closed-loop automation, combining the knowledge of enterprise IT context, AI-based intelligence, and out-of-box modular automation capabilities for end-to-end lifecycle management - from detection to triaging to resolutions.

The ignio platform provides AWS customers with an AI-powered solution that streamlines IT operations across hybrid environments by automating issue detection, analysis, and resolution. It eliminates manual processes and prevents future incidents through predictive analysis and proactive recommendations. The platform increases IT efficiency by reducing alerts, tickets, and resolution time. With extensive pre-built capabilities — including 200+ self-healing use cases and automation for 40+ technologies — ignio AIOps accelerates enterprise transformation by approximately 40%, while improving system availability and customer experience.

“The listing of ignio in AWS Marketplace across 38 countries marks a major milestone in our ongoing collaboration with AWS, opening up new avenues for growth and innovation,” commented Rahul Kelkar, Chief Product Officer, Digitate. “By leveraging AWS's process-driven approach to Independent Software Vendor partnerships and its global scale, we are well-positioned to expand our market reach and accelerate customer acquisition. We are excited to driving continued innovation and delivering exceptional value to our growing customer base.”

ignio is now generally available in AWS Marketplace.

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Digitate ignio AIOps Platform Available on AWS Marketplace

Digitate announced the general availability of its flagship product ignio™ in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS).

Digitate’s AI-powered solutions integrated with key AWS products and services delivered significant improvements in IT operations performance, scalability, and cost-effectiveness for global Fortune 500 customers. With the listing of ignio, AWS customers will now have access to the operational benefits of ignio directly within AWS Marketplace, including:

  • Unified observability to enable better visibility across hybrid, multi-cloud environments.
  • AI-powered insights that leverage deep AI/ML models to analyze diverse datasets, provide detailed insights and detect issues across IT and business operations, predict future state, and recommend fixes and proactive actions.
  • Closed-loop automation, combining the knowledge of enterprise IT context, AI-based intelligence, and out-of-box modular automation capabilities for end-to-end lifecycle management - from detection to triaging to resolutions.

The ignio platform provides AWS customers with an AI-powered solution that streamlines IT operations across hybrid environments by automating issue detection, analysis, and resolution. It eliminates manual processes and prevents future incidents through predictive analysis and proactive recommendations. The platform increases IT efficiency by reducing alerts, tickets, and resolution time. With extensive pre-built capabilities — including 200+ self-healing use cases and automation for 40+ technologies — ignio AIOps accelerates enterprise transformation by approximately 40%, while improving system availability and customer experience.

“The listing of ignio in AWS Marketplace across 38 countries marks a major milestone in our ongoing collaboration with AWS, opening up new avenues for growth and innovation,” commented Rahul Kelkar, Chief Product Officer, Digitate. “By leveraging AWS's process-driven approach to Independent Software Vendor partnerships and its global scale, we are well-positioned to expand our market reach and accelerate customer acquisition. We are excited to driving continued innovation and delivering exceptional value to our growing customer base.”

ignio is now generally available in AWS Marketplace.

The Latest

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...