Operations | Monitoring | ITSM | DevOps | Cloud

Freezer Management Software: How Food and FMCG Companies Track, Maintain and Control Freezers in the Field

For food and FMCG companies, managing freezers becomes more complex once equipment moves outside warehouses and company facilities. Freezers may be placed at supermarkets, retail stores, restaurants, distributors, convenience stores, and other customer locations, often across hundreds of cities or territories. At that scale, spreadsheets and manual field checks make it difficult to answer basic operational questions. Where is a particular freezer? Which outlet is responsible for it?

The Pod Was Cheaper. The Service Wasn't.

A smaller Kubernetes pod can lower allocation cost while completing less work. Green status codes and matching schemas can hide it. This walkthrough combines OpenCost allocation data with proxymock behavior and performance evidence. A candidate passes only when behavior and throughput hold while unit cost falls.

How to build a resilient incident management workflow using ilert

Your payment API suddenly returns 503 errors. Within seconds, your infrastructure monitors, application checks, and dependency monitors begin generating their own alerts. And while the dashboards keep flashing, the clock is still running. Your customers are waiting, internal teams are asking for updates, and engineers are trying to separate the real problem from the noise before the situation gets worse.

Monitor outages with StatusGator MCP and Claude

When a service your organization depends on stops working, you need to know whether the problem is internal or caused by a third-party provider. Connecting StatusGator to Claude gives you a faster way to find out. You can ask Claude what is down, investigate provider incidents, review affected components, and analyze historical uptime using data from your StatusGator account.
Sponsored Post

Flamegraphs Find It. Replay Proves It.

I made an API endpoint 13 times faster. Then I realized my first verification only checked the status, headers, and response schema. I had not checked the totals. I had made the bug faster. That is the problem with giving an AI coding agent one kind of evidence. A CPU profile can show where the application is slow, but not whether an optimization preserves behavior. A traffic replay can prove that behavior stayed stable, but not explain why the code burns CPU. This walkthrough gives the agent two independent witnesses: Together, they turn AI code verification into an experiment with two independent checks.

Cooler Management Software: How Beverage Companies Track, Maintain and Optimize Coolers in the Field

For beverage companies, deploying a cooler at a retailer, restaurant, supermarket, or distributor is only the beginning of the asset lifecycle. Once coolers move outside company facilities, maintaining visibility becomes far more difficult. Operations teams need to know where each cooler is located, who is responsible for it, whether it has been transferred, if maintenance is required, and whether the equipment is being used effectively.

Don't build the autonomous AI factory first

Here's a scene playing out in engineering teams right now. An engineer spends the weekend running four or five coding agents in parallel. Monday morning, a teammate opens their laptop to 53 changed files with 2000+ diffs and a message that says, more or less, "should be good to merge." Nobody asked for this much output. Nobody has time to review it properly. The team doesn't feel faster. It feels ambushed.

Solving bugs with elmah.io and Claude Code - a real-life example

I spend most of my day in Claude Code these days. Most of my development processes changed after having access to my own personal assistant. In this post, I'll show you a real-life example of how bug fixes are often done on elmah.io now. I hope it will inspire someone to optimize their workflow and get even more out of their elmah.io subscription.

Data localization for Indian Fintech: RBI rules and your cloud choice

Indian fintech operates under one of the most specific data localization regimes in the world. The Reserve Bank of India has published progressive guidance since 2018 requiring payment system data to be stored in India, with subsequent extensions to other categories of financial data. The rules aren't optional. For fintechs operating in India - whether payment providers, lending platforms, wealth managers, or neo-banks - the localization requirements shape fundamental infrastructure choices.