Skip to main content

StackGen Aiden Integrated into Tech Mahindra Cloud Delivery

StackGen and Tech Mahindra announced a partnership to deliver StackGen's Autonomous Operations Platform through Tech Mahindra's global cloud delivery practice. 

The partnership gives Tech Mahindra's enterprise customers access to a comprehensive suite of agentic AI capabilities spanning cloud infrastructure automation, AI-driven SRE, and managed observability, all with governance and compliance embedded by design.

By integrating StackGen's Autonomous Operations Platform into Tech Mahindra's cloud delivery playbook, enterprise clients gain AI-powered automation across infrastructure, pipelines, SRE, and observability — accelerating cloud transformation without disrupting existing CI/CD investments or DevOps toolchains.

Sham Arora, Chief Technology Officer, Tech Mahindra, said, "Enterprises today are looking to scale AI-led cloud transformation while maintaining governance, reliability, and operational agility across increasingly complex environments. However, fragmented operations and manual infrastructure processes continue to slow innovation. Through our partnership with StackGen, we are enabling enterprises to accelerate autonomous cloud operations with AI-powered automation, observability, and governance embedded seamlessly across the infrastructure lifecycle."

StackGen's Autonomous Operations Platform provides four integrated Aiden modules designed to eliminate the manual toil that slows enterprise cloud teams after code is written. Unlike point solutions or generic large language models that generate output without context or guardrails, the platform delivers deterministic, policy-aware automation across the operations lifecycle — from infrastructure provisioning through incident response and observability.

Through the Tech Mahindra partnership, enterprise clients can now access the full platform through an experienced global systems integrator with deep cloud delivery capabilities, enabling rapid onboarding and production-ready deployment with governance validated at every layer.

The StackGen–Tech Mahindra partnership delivers across four critical areas of enterprise cloud operations:

  • Governed Infrastructure Automation: Aiden for Infrastructure eliminates infrastructure provisioning bottlenecks with deterministic IaC generation, Rego-based policy enforcement, and a governed self-service module catalog — integrated natively with Cursor, Claude, and AWS Kiro via MCP, and working seamlessly across AWS, Azure, and GCP without disrupting existing pipelines.
  • AI-Powered SRE: Aiden for SRE detects anomalies 90% faster than manual monitoring, reduces alert noise by 90%, and cuts root cause identification time by 66% — with intelligent alert enrichment, SLO-driven incident prioritization, and human-in-the-loop remediation that keeps SREs focused on reliability rather than toil.
  • Unified Managed Observability: Aiden for Observability delivers fully managed, open-standards observability with AI-correlated logs, metrics, traces, and APM in a single platform — replacing fragmented self-hosted tooling with 60%+ cost savings versus commercial alternatives, 300+ pre-built integrations, and a 2–4-week migration path.
  • Enterprise-Grade Integration and Governance: The complete platform works across multi-cloud environments with no disruption to existing DevOps toolchains, CI/CD pipelines, or developer workflows — with compliance, cost controls, and security governance embedded throughout the infrastructure lifecycle rather than bolted on after deployment.

"The future of enterprise cloud delivery is intelligent, autonomous, and governed by design, and our partnership with Tech Mahindra is a powerful step in that direction. By embedding Aiden, our Autonomous Operations Platform for Infrastructure, into Tech Mahindra's delivery playbook, we're giving enterprise clients the confidence to adopt AI faster, with less risk and governance built into every layer from day one" said Sachin Aggarwal, CEO, StackGen

The partnership addresses four critical challenges that consistently slow enterprise cloud transformation programs:

  • Speed vs. Control: Rapid provisioning without sacrificing governance or security posture
  • SRE Productivity: Reducing the alert noise and operational toil that pull top engineers away from proactive reliability work
  • Cost Optimization: Embedding FinOps controls at infrastructure creation and replacing costly commercial observability platforms with open-standards alternatives
  • Compliance Readiness: Automated policy enforcement ensuring audit-ready deployments across cloud platforms and operational practices

Tech Mahindra validated the Autonomous Operations Platform's ability to automate module hardening, streamline policy management, and deliver enterprise-grade cloud operations with governance embedded throughout the lifecycle.

StackGen's Autonomous Operations Platform is available to enterprise customers through Tech Mahindra's cloud delivery practice, effective immediately. Enterprises seeking to accelerate cloud transformation with governed, autonomous AI operations are encouraged to engage Tech Mahindra as their delivery partner for the joint solution.

Joint go-to-market programs, sales enablement, and customer success initiatives are planned for Q2 2026. Tech Mahindra delivery teams will complete enablement through StackGen's Center of Excellence integration program ahead of customer engagements.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

StackGen Aiden Integrated into Tech Mahindra Cloud Delivery

StackGen and Tech Mahindra announced a partnership to deliver StackGen's Autonomous Operations Platform through Tech Mahindra's global cloud delivery practice. 

The partnership gives Tech Mahindra's enterprise customers access to a comprehensive suite of agentic AI capabilities spanning cloud infrastructure automation, AI-driven SRE, and managed observability, all with governance and compliance embedded by design.

By integrating StackGen's Autonomous Operations Platform into Tech Mahindra's cloud delivery playbook, enterprise clients gain AI-powered automation across infrastructure, pipelines, SRE, and observability — accelerating cloud transformation without disrupting existing CI/CD investments or DevOps toolchains.

Sham Arora, Chief Technology Officer, Tech Mahindra, said, "Enterprises today are looking to scale AI-led cloud transformation while maintaining governance, reliability, and operational agility across increasingly complex environments. However, fragmented operations and manual infrastructure processes continue to slow innovation. Through our partnership with StackGen, we are enabling enterprises to accelerate autonomous cloud operations with AI-powered automation, observability, and governance embedded seamlessly across the infrastructure lifecycle."

StackGen's Autonomous Operations Platform provides four integrated Aiden modules designed to eliminate the manual toil that slows enterprise cloud teams after code is written. Unlike point solutions or generic large language models that generate output without context or guardrails, the platform delivers deterministic, policy-aware automation across the operations lifecycle — from infrastructure provisioning through incident response and observability.

Through the Tech Mahindra partnership, enterprise clients can now access the full platform through an experienced global systems integrator with deep cloud delivery capabilities, enabling rapid onboarding and production-ready deployment with governance validated at every layer.

The StackGen–Tech Mahindra partnership delivers across four critical areas of enterprise cloud operations:

  • Governed Infrastructure Automation: Aiden for Infrastructure eliminates infrastructure provisioning bottlenecks with deterministic IaC generation, Rego-based policy enforcement, and a governed self-service module catalog — integrated natively with Cursor, Claude, and AWS Kiro via MCP, and working seamlessly across AWS, Azure, and GCP without disrupting existing pipelines.
  • AI-Powered SRE: Aiden for SRE detects anomalies 90% faster than manual monitoring, reduces alert noise by 90%, and cuts root cause identification time by 66% — with intelligent alert enrichment, SLO-driven incident prioritization, and human-in-the-loop remediation that keeps SREs focused on reliability rather than toil.
  • Unified Managed Observability: Aiden for Observability delivers fully managed, open-standards observability with AI-correlated logs, metrics, traces, and APM in a single platform — replacing fragmented self-hosted tooling with 60%+ cost savings versus commercial alternatives, 300+ pre-built integrations, and a 2–4-week migration path.
  • Enterprise-Grade Integration and Governance: The complete platform works across multi-cloud environments with no disruption to existing DevOps toolchains, CI/CD pipelines, or developer workflows — with compliance, cost controls, and security governance embedded throughout the infrastructure lifecycle rather than bolted on after deployment.

"The future of enterprise cloud delivery is intelligent, autonomous, and governed by design, and our partnership with Tech Mahindra is a powerful step in that direction. By embedding Aiden, our Autonomous Operations Platform for Infrastructure, into Tech Mahindra's delivery playbook, we're giving enterprise clients the confidence to adopt AI faster, with less risk and governance built into every layer from day one" said Sachin Aggarwal, CEO, StackGen

The partnership addresses four critical challenges that consistently slow enterprise cloud transformation programs:

  • Speed vs. Control: Rapid provisioning without sacrificing governance or security posture
  • SRE Productivity: Reducing the alert noise and operational toil that pull top engineers away from proactive reliability work
  • Cost Optimization: Embedding FinOps controls at infrastructure creation and replacing costly commercial observability platforms with open-standards alternatives
  • Compliance Readiness: Automated policy enforcement ensuring audit-ready deployments across cloud platforms and operational practices

Tech Mahindra validated the Autonomous Operations Platform's ability to automate module hardening, streamline policy management, and deliver enterprise-grade cloud operations with governance embedded throughout the lifecycle.

StackGen's Autonomous Operations Platform is available to enterprise customers through Tech Mahindra's cloud delivery practice, effective immediately. Enterprises seeking to accelerate cloud transformation with governed, autonomous AI operations are encouraged to engage Tech Mahindra as their delivery partner for the joint solution.

Joint go-to-market programs, sales enablement, and customer success initiatives are planned for Q2 2026. Tech Mahindra delivery teams will complete enablement through StackGen's Center of Excellence integration program ahead of customer engagements.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...