If India is the fastest-growing start-up in the world, observability isn’t just an enabler. It’s the insurance policy for digital trust, continuity, and competitive edge. At the heart of India’s digital growth lies a critical challenge: managing scale, speed, and complexity without losing control.
In this exclusive conversation, Subbu Subramanian, Country Director – India at Dynatrace, decodes why India’s digital transformation isn’t just fast but it’s disruptive by design. He explains how Indian enterprises are skipping legacy stages and going straight to cloud-native, AI-first architectures, creating an urgent need for intelligent observability. From managing hybrid workloads and multi-cloud blind spots to monitoring AI at scale, Subbu lays out how Dynatrace is enabling businesses to turn complexity into clarity.
Dynatrace is scaling rapidly in India. What’s uniquely driving demand here that you don’t see in more mature markets?
For years we were told that India is a developing country, and my interpretation of that is, India is a start-up and at the same time, one of the oldest civilizations alive. India has stability and speed: airports that look like bus stands and train stations that look like airports, pan-stained walls in government offices and hospitals that look finer than a 5-star hotel are a bundle of paradoxes. The UPI is a wonder of our lifetime that proves India can make the impossible happen. India will remain the fastest-growing start-up.
India's digital transformation is uniquely accelerated compared to mature markets, with enterprises leapfrogging directly to cloud-native and AI-enabled architectures rather than evolving gradually. This creates immediate demand for Dynatrace's intelligent observability platform across sectors implementing high-stakes digital initiatives like UPI and e-governance.
What further distinguishes the Indian market is its tech-savvy talent pool, which is already comfortable with Kubernetes, microservices, and multi-cloud environments. These teams aren't looking for piecemeal solutions but unified platforms that deliver immediate business value. As Nandan Nilekani noted, India is becoming "the AI use-case capital of the world", driving demand for advanced observability across BFSI, healthcare, retail, and telecom sectors.
This combination of ambitious digital transformation at unprecedented scale with sophisticated technical talent creates a perfect environment for Dynatrace's continued expansion.
India’s digital push spans legacy systems and next-gen AI. How is Dynatrace helping enterprises navigate this hybrid complexity without disruption?
India’s digital landscape is inherently hybrid. Enterprises are running next-gen AI workloads alongside legacy systems that still power core operations. Managing this duality without disruption is a significant challenge, and exactly where Dynatrace excels.
Our platform delivers unified, full-stack observability across mainframes, cloud-native environments, and everything in between. We automatically discover all dependencies, trace transactions across environments, and surface issues in real time with full business context. Whether it’s a delayed batch job or a Kubernetes deployment error, Dynatrace pinpoints the root cause in seconds, not hours.
The real differentiator is automation. Our Davis AI engine continuously analyzes telemetry data to detect anomalies, assess business impact, and trigger automated remediation when needed. This reduces noise and empowers teams to act faster and smarter.
In India, where customer experience is everything and digital outages have real-world impact, this proactive observability model ensures continuity even as systems modernize. With Dynatrace, enterprises don’t need to choose between innovation and stability. They can confidently evolve, knowing the complexity is under control.
With hybrid and multi-cloud now the norm, what observability blind spots are Indian enterprises still underestimating?
Indian enterprises are embracing hybrid and multi cloud architectures at an impressive pace, but many are still underestimating the observability gaps these environments introduce.
A major blind spot is fragmentation. Teams often rely on disparate tools for logs, metrics, traces, and security. This leads to siloed data, duplication of effort, and delayed root-cause analysis. In a high-stakes environment like fintech or e-commerce, a delay of even a few minutes can mean customer churn or regulatory exposure.
Another overlooked issue is the lack of real-time dependency mapping. In multi cloud setups, a bottleneck in one cloud or container can silently impact applications elsewhere. Without unified observability, these issues go undetected until it's too late.
Dynatrace addresses these blind spots by offering a single platform with full stack observability, powered by Davis AI. We correlate telemetry from every layer of applications, infrastructure, user experience and automatically prioritize based on business impact.
As cloud complexity grows, the cost of observability gaps is only increasing. Indian enterprises that invest now in intelligent, unified observability will not only avoid outages, but will unlock faster innovation, stronger customer trust, and greater operational efficiency.
As AI goes mainstream, why is AI-powered observability no longer just a support tool but a prerequisite for enterprise-scale AI deployments? Is India genuinely undergoing AI-driven transformation or merely automating faster?
AI is quickly becoming core to enterprise strategy, not just in India, but globally. But as AI moves from pilots to production, observability is no longer a nice-to-have; it’s a prerequisite.
Modern AI workloads are dynamic, opaque, and often unpredictable. Whether you're running a Large Language Model or automating decision making in real time, you need deep visibility into how those systems behave, how they interact with existing infrastructure, and what risks they pose.
Dynatrace enables exactly that. Our platform continuously observes AI models in production, traces inference pipelines, monitors LLM API usage, and flags performance or security anomalies in real time. Davis AI then links these findings to business impact, so teams can move from insight to action instantly.
As for India, we’re seeing both rapid automation and true AI transformation. Enterprises here are applying AI not just to improve efficiency, but to create new customer experiences, streamline operations, and enhance digital trust.
In a market moving faster than its infrastructure, what’s the biggest risk Indian businesses face by delaying investment in full-stack observability?
In a high-growth market like India, digital ambition often outpaces infrastructure readiness. The biggest risk for enterprises is operating without visibility and being caught off guard when systems fail.
Delayed observability investment means relying on legacy monitoring tools that can’t keep up with the speed, scale, or complexity of modern environments. When issues occur across distributed systems, say, a UPI failure or a cloud misconfiguration, teams are left scrambling, with no clear root cause or business context.
That’s not just an IT issue, it's a business risk. Downtime impacts customer trust, revenue, and even compliance in regulated industries. Dynatrace helps Indian enterprises close this gap. Our AI powered platform delivers automatic discovery, real-time anomaly detection, and instant root-cause analysis across hybrid, multi-cloud, and AI environments. It’s not just about catching failures; it’s about preventing them.
In today’s digital economy, visibility equals control. Indian businesses that delay observability investments may save in the short term, but they risk paying a much higher price in operational disruption, lost revenue, and competitive disadvantage.