Ashnik

AI Is Disrupting SaaS and IT Services. But Is the Market Panic Justified?

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More Logs. Longer Retention. Faster Search. This Is What Elasticsearch’s LogsDB Actually Does.

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From 200 GB to 1.2 TB: Running Apache NiFi at BFSI Scale and What It Takes

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From Data Fragmentation to Unified Intelligence: The Next Observability Architecture

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AI Is Not Failing Because of Models. It’s Failing Because of Architecture.

Here's a concise summary of the article "The Emerging Need For Modern Enterprise Architecture": The article argues that traditional, monolithic enterprise architectures are strugg…

Ashnik at PGDay Mumbai 2026: Building a Secure MCP Layer for PostgreSQL

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Executing Zero-Downtime Server Replacement in a Large Payments Platform

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Building and Operating Observability at Banking Scale with Elasticsearch

The article discusses how traditional observability tools struggle with the dynamic, ephemeral nature of serverless architectures. It highlights challenges like cold starts, distri…

Why SFTP Is a Hidden Operational Risk – And How Enterprises Are Replacing It with Kafka Based File Transfer Platforms

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Where AI Fits in Marketing Automation, and Where It Should Stop

This article guides readers on effectively monitoring key performance parameters in PostgreSQL to proactively identify and resolve database bottlenecks. It details essential metric…

OpenTelemetry Collectors: Re-architecting Observability Ingestion for Modern Production Systems

For years, observability ingestion has been dominated by vendor-specific agents, collectors, and tightly coupled pipelines. Each monitoring platform came with its own way of collec…

Building an MCP Server for PostgreSQL—My Journey to Making Databases Talk to AI

Over the last few weeks, I’ve been exploring how to make PostgreSQL “AI-ready” not by exposing it directly to an LLM, but by putting a secure, intelligent layer between the model a…