DevOps

Amazon Redshift Concurrency Scaling: Staying Fast When Everyone Queries at Once

As your data grows and your user base expands, your Amazon Redshift cluster faces increasing demands from concurrent queries. Without proper management, this can lead to performance bottlenecks, longer query times, and frustrated users. Fortunately, Amazon Redshift offers a feature called Concurrency Scaling to address exactly this problem. This post covers what it is, how […]

Shalley Gupta
Shalley Gupta
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MSP

Azure Monitor: Centralized Monitoring, Logging, and Alerting for Azure Workloads

Introduction Running workloads on Azure without a monitoring strategy means flying blind. Teams may discover problems only after users report them, while troubleshooting becomes a manual hunt across scattered logs and there is no single place to understand how infrastructure and applications are performing. This is where Azure Monitor helps. It provides a centralized monitoring […]

Sankalp Batra
Sankalp Batra
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DevOps

AWS DevOps Agent: What It Is, How It Works, and Where It Fits in Your Pipeline

AWS re:Invent-style announcements come and go, but every so often one lands directly on the desk of the people who get paged at 2 AM. AWS DevOps Agent is one of those. It’s an AI-powered, always-on agent built to sit across two halves of the software delivery lifecycle that usually live in separate tools and […]

Shalley Gupta
Shalley Gupta
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DevOps

What Bedrock Cost Attribution Reveals About AI Governance

There’s a pattern that shows up almost every time an organization scales generative AI workloads on Amazon Bedrock past a single team: at some point, someone asks a simple question — “which service spent what, on which model, last month?” — and nobody can answer it with real confidence. Not because the data is missing. […]

Shalley Gupta
Shalley Gupta
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DevOps

From Jira to PR: How AI Agents Are Transforming DevOps Delivery

Introduction A change request starts as a single Jira ticket. Hours later it’s live in production, coded, reviewed, and documented, with almost none of the usual back-and-forth in between. That’s the shift AI agents are bringing to DevOps and platform engineering teams. An AI agent, in this context, is a software assistant that understands context […]

Chetan Singh
Chetan Singh
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DevOps

Integration Of IAM Identity Center With Microsoft Entra ID

Introduction This blog provides step-by-step instructions to implement AWS IAM Identity Center with Microsoft Entra ID as the identity source. Authentication is handled via SAML 2.0. User and group provisioning is handled via SCIM 2.0. IAM Identity Center is administered from a dedicated Identity account using Delegated Administration. Prerequisites AWS Organization active with All Features […]

DevOps

Stop Grepping Logs at 3 AM: Why LLMs are Finally Making AIOps Useful

Stop Grepping Logs at 3 AM: Why LLMs are Finally Making AIOps Useful Let me describe a situation that every DevOps engineer knows well. It’s 3:00 AM on a Thursday. You’re deep in REM sleep when PagerDuty starts vibrating on your nightstand with a Severity-1 alert. You drag yourself to your laptop. Slack is buzzing […]

Mayank Kumar
Mayank Kumar
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DevOps

DevOps evolving with AI

A note before this starts: I used AI to help write this piece. The observations in it aren’t generated, though — they’re what our DevOps team has actually watched happen over the past while. I’m upfront about the tool because the argument here is that the shift itself is real and lived, even if the […]

Navjot Singh
Navjot Singh
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DevOps

Two AWS services called “Explorer” that have nothing to do with each other

Introduction Someone asked me last week whether Cost Explorer works like Resource Explorer, just for billing. It’s a reasonable guess. Same suffix, same console, both let you slice things by region. The guess is wrong in a way that costs people real time, so it’s worth pulling apart. One is a search index. The other […]