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Mala Pillutla

As seen in: TechRadar, Dynatrace Blog, iTWire, TI Inside, Inkl, Gear Open, MSP Channel Insights, SDC Channel Insights
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Articles

Why intelligence needs to move upstream in the modern tech stack

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By Mala Pillutla
| iTWire Verified
Modern systems generate more telemetry and data than ever, but more telemetry and data hasn’t made teams faster or more productive. In fact, it’s doing the opposite. Fragmented telemetry data signals, rising storage costs, and delayed insights are making it harder to understand and act when it matters most. As systems become more dynamic and ephemeral, teams often find themselves dealing with fragmented telemetry and unclear signals.
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Log management for AI workloads: How to bring your logs and telemetry plan into the AI-first century

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By Mala Pillutla
| Dynatrace Blog
AI is stretching the boundaries of traditional log management. More data without context slows insight, increases risk, and stalls AI progress. Teams need to rethink how they capture, process, and use telemetry from ingest to analysis. This action plan outlines how to unify telemetry, optimize pipelines, and turn data into real‑time, trusted intelligence teams can use to scale AI operations with confidence.
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How AI workloads are changing what logs must deliver, forcing a new strategy

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By Mala Pillutla
| Dynatrace Blog
New Dynatrace research reveals how logs are becoming the accountability anchor for AI systems and why cost-driven trade-offs (sampling, cold storage, and discarding data) increase operational risk. In fact, with legacy log management tools now consuming 45% of observability budgets, 67% say the costs of these tools outweigh their value, indicating a need to modernize quickly (source: Dynatrace State of Log Management 2026 research). Scale is accelerating.
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