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LTIMindtree Collaborates with CAST AI

LTIMindtree announced a strategic collaboration with CAST AI to help companies save, on average, over 60 percent on cloud costs as they modernize legacy applications for cloud migration.

This collaboration brings together LTIMindtree’s Infinity platform, with CAST AI’s cloud cost optimization platform to provide enterprises with a complete view of their cloud portfolio. This combined offering will empower organizations to optimize Kubernetes management and costs in a single or multi-cloud environments, without any manual intervention. It will also help free up the customers’ time from routine tasks by automating 100% of their cloud-native infrastructure, resulting in increased stability and reduced costs.

Yuri Frayman, CEO and Co-founder, CAST AI, said, “Our speciality at CAST AI revolves around cloud cost optimization. Google Cloud Platform alone has some hundreds of virtual machines on offer. The manual effort of configuring resources, picking virtual machines, and setting auto-scaling policies is overwhelming. And frankly, it costs more than its optimization impact. We automate the entire process, reducing your cloud costs in real-time.”

“This partnership with CAST AI has enabled us to offer discrete services to our customers aligned with their business goals and objectives. Through this collaboration, we are assisting our customers in deriving value from their cloud investments through enhanced end-to-end observability & cost optimization, along with freeing up their budget for modernization,” said Nachiket Deshpande, Whole-Time Director, and Chief Operating Officer, LTIMindtree.

The collaboration will strengthen the value proposition and help the organizations align their cloud usage strategies and achieve continuous cost savings.

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LTIMindtree Collaborates with CAST AI

LTIMindtree announced a strategic collaboration with CAST AI to help companies save, on average, over 60 percent on cloud costs as they modernize legacy applications for cloud migration.

This collaboration brings together LTIMindtree’s Infinity platform, with CAST AI’s cloud cost optimization platform to provide enterprises with a complete view of their cloud portfolio. This combined offering will empower organizations to optimize Kubernetes management and costs in a single or multi-cloud environments, without any manual intervention. It will also help free up the customers’ time from routine tasks by automating 100% of their cloud-native infrastructure, resulting in increased stability and reduced costs.

Yuri Frayman, CEO and Co-founder, CAST AI, said, “Our speciality at CAST AI revolves around cloud cost optimization. Google Cloud Platform alone has some hundreds of virtual machines on offer. The manual effort of configuring resources, picking virtual machines, and setting auto-scaling policies is overwhelming. And frankly, it costs more than its optimization impact. We automate the entire process, reducing your cloud costs in real-time.”

“This partnership with CAST AI has enabled us to offer discrete services to our customers aligned with their business goals and objectives. Through this collaboration, we are assisting our customers in deriving value from their cloud investments through enhanced end-to-end observability & cost optimization, along with freeing up their budget for modernization,” said Nachiket Deshpande, Whole-Time Director, and Chief Operating Officer, LTIMindtree.

The collaboration will strengthen the value proposition and help the organizations align their cloud usage strategies and achieve continuous cost savings.

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Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

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The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...