Skip to main content

Digitate Releases ignio™ on Amazon Web Services

Digitate has announced the general availability of their flagship product ignio™ on Amazon Web Services (AWS).

The company’s innovations integrated with key AWS products and services have resulted in significant improvements in performance, scalability, and cost-effectiveness and are already driving benefits for global Fortune 500 customers.

Digitate provides unified observability, AI-powered insights, and close-loop automation integrated with AWS technologies such as Amazon EKS and Amazon Aurora. Its offerings are tailored to global businesses with complex technology landscapes operating in a variety of industries, including retail, banking, finance, manufacturing, utilities, healthcare, and life sciences.

Digitate’s ignio AI platform accelerates the automation of IT lifecycle tasks from triaging to resolution. It also enables predictive and preventive operations through intelligent recommendations and self-healing. By rearchitecting ignio’s SaaS environment using AWS cloud-native technologies, Digitate enhances global scalability, sustainability, and cost-effectiveness across IT and business operations, delivering agility, assurance, and resiliency for its global enterprise customers.

"Our collaboration with AWS has been transformative," said Rahul Kelkar, Chief Product Officer, Digitate. "Leveraging AWS's cloud-native technologies accelerates the time-to-market of ignio’s products and solutions. This association lowers our bill-of-materials, reduces costs, and simplifies our SaaS operations. The elasticity and auto-scaling capabilities of AWS have proven particularly beneficial for ignio, enabling a more efficient pay-as-you-go model.”

The collaboration with AWS streamlines Digitate's go-to-market strategy. By leveraging AWS's process-driven approach to Independent Software Vendor partnerships and global scale, Digitate is positioned to expand its market reach and accelerate customer acquisition. As Digitate continues to expand its presence on the AWS Marketplace, the company looks forward to driving further innovation and delivering enhanced value to its growing customer base.

 

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

Digitate Releases ignio™ on Amazon Web Services

Digitate has announced the general availability of their flagship product ignio™ on Amazon Web Services (AWS).

The company’s innovations integrated with key AWS products and services have resulted in significant improvements in performance, scalability, and cost-effectiveness and are already driving benefits for global Fortune 500 customers.

Digitate provides unified observability, AI-powered insights, and close-loop automation integrated with AWS technologies such as Amazon EKS and Amazon Aurora. Its offerings are tailored to global businesses with complex technology landscapes operating in a variety of industries, including retail, banking, finance, manufacturing, utilities, healthcare, and life sciences.

Digitate’s ignio AI platform accelerates the automation of IT lifecycle tasks from triaging to resolution. It also enables predictive and preventive operations through intelligent recommendations and self-healing. By rearchitecting ignio’s SaaS environment using AWS cloud-native technologies, Digitate enhances global scalability, sustainability, and cost-effectiveness across IT and business operations, delivering agility, assurance, and resiliency for its global enterprise customers.

"Our collaboration with AWS has been transformative," said Rahul Kelkar, Chief Product Officer, Digitate. "Leveraging AWS's cloud-native technologies accelerates the time-to-market of ignio’s products and solutions. This association lowers our bill-of-materials, reduces costs, and simplifies our SaaS operations. The elasticity and auto-scaling capabilities of AWS have proven particularly beneficial for ignio, enabling a more efficient pay-as-you-go model.”

The collaboration with AWS streamlines Digitate's go-to-market strategy. By leveraging AWS's process-driven approach to Independent Software Vendor partnerships and global scale, Digitate is positioned to expand its market reach and accelerate customer acquisition. As Digitate continues to expand its presence on the AWS Marketplace, the company looks forward to driving further innovation and delivering enhanced value to its growing customer base.

 

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...