Operations | Monitoring | ITSM | DevOps | Cloud

Okay, picture this: if you drew a Venn diagram of folks in tech right now, it'd probably look something like this: You'll probably find yourself in one of those circles, right? I’m guilty of falling in the intersection! Because let's be real, the 'will AI replace developers by 20xx?' debate is everywhere – Reddit, Hacker News, team Slack and even your local cafe. Well, we decided to go straight to the source.

LlamaIndex has become a popular choice for building Retrieval-Augmented Generation (RAG) applications, helping developers seamlessly connect large language models with private or domain-specific data. But RAG workflows can be complex with slow retrieval times, irrelevant or inconsistent responses, and silent failures in the data pipeline can all degrade the user experience. That’s why observability is essential.

“Developers hate marketing.” Do they, really? I often hear this thrown around on podcasts about DevTools marketing, and while it’s true that developers don’t respond to the same old marketing tactics, they do respond to genuine communication. The reason developers are hard to “market” to is that they are also the builders of the stuff you want to sell.

Redis is a powerful tool, but its position in the critical path of applications means that performance issues can have a widespread impact. Whether you use Redis as a cache, session store, or primary database, effective monitoring is essential to prevent slowdowns and ensure a responsive user experience. This guide provides a comprehensive walkthrough of Redis monitoring, covering the essential metrics you need to track, the tools available to you, and the best practices to adopt in 2025.

Almost every other day, when I scroll past r/devops or r/sre, I see a post like this asking how a dev can get started with devops, observability, etc. Sample Reddit thread on how to get started with OTel This blog is an attempt for anyone lost to find their way into observability and a wake-up call for devs to they should think about observability more actively today than ever before. A dev’s observability playbook.

LLM-powered apps are growing fast, and frameworks like the Vercel AI SDK make it easy to build them. But with AI comes complexity. Latency issues, unpredictable outputs, and opaque failures can impact user experience. That’s why monitoring is essential. By using OpenTelemetry for standard instrumentation and SigNoz for observability, you can track performance, detect errors, and gain insights into your AI app’s behavior with minimal setup.

You have nested JSON in your logs. When you query body.event.type = "user_action", it fails. Here's why and how to fix it.

NestJS applications require comprehensive monitoring to ensure optimal performance and rapid issue resolution. As your application grows—spanning multiple services, databases, and external APIs—understanding what's happening under the hood becomes critical. That's where OpenTelemetry comes in. OpenTelemetry provides vendor-agnostic observability for your NestJS applications through distributed tracing, metrics, and logs.