Operations | Monitoring | ITSM | DevOps | Cloud

What is a Scam Checker and How Can It Protect You Online?

Here's something that should worry you: online scams are evolving faster than ever before. We're not talking about clumsy Nigerian prince emails anymore. Last year, Americans handed over billions to digital con artists, and those figures? They're accelerating at an alarming rate. The truly frustrating part is that most people only discover they've been victimized after the damage is done.

AI Impact on software engineering (as I see it)

When I first started using AI (Cursor, to be more specific) for coding, I was very impressed to see how it could generate such high-quality code, and I understand why it's now one of the most widely used tools for software engineers. As I continued to use them more regularly, I realized they are far from perfect. Their effectiveness depends heavily on how they are used and the context in which they are applied.

Lightrun Runtime Context MCP | Lightrun

In this video, Lightrun's Moshe Sambol walks you through the power of Lightrun MCP and Runtime Context. A game-changer for AI-assisted development. This integration lets developers debug live issues, inspect real-world variables, and verify fixes across environments, all without leaving the IDE. With Lightrun MCP, you can: Capture live transaction state directly from Staging and Production. Identify root causes using real runtime values, not just static code. Verify fixes instantly without redeploying or context switching.

Observability with AI? Honeycomb with AI!

Since Honeycomb started, it has had a weakness: too many choices. Every field, custom or standard, hundreds of them, all are free to group, filter, and visualize in dozens of ways. Which ones are interesting? Honeycomb exists to help people understand custom software. It doesn’t pretend to know what matters in your application. That’s an interpretive task, not programmatic. Hey, computers can do interpretation now!

The next wave of AI: Open source, robotics & the future of India's tech powerhouse

As we kick off 2026, the tech landscape is being reshaped by the very breakthroughs discussed at Civo Navigate India 2025. This panel, featuring Josh Mesout, Murthy Chitlur, Chirotpal Das and Anjali Batra, laid the groundwork for the AI-driven world we are operating in today. From the rise of agentic AI and small language models to the massive shift toward open-source parity, these experts didn't just discuss trends; they provided the blueprint for building resilient, sovereign, and scalable AI infrastructure in India.

4 Ways AI Chat Helps Operations Teams Work Smarter and Faster

Operational teams live in constant motion. Systems change, incidents escalate, and information is spread across tools that don't speak the same language. The real bottleneck isn't lack of data. It's clarity. People spend more time searching, rewriting, summarizing, and coordinating than they do actually solving problems.

AI SRE in Practice: Diagnosing Configuration Drift in Deployment Failures

Deployments fail for dozens of reasons. Most of them are obvious from the error messages or pod events. But when a deployment rolls out successfully according to Kubernetes but your application starts experiencing latency spikes and error rate increases, the investigation becomes significantly harder. This scenario walks through a configuration drift incident where the deployment appeared healthy but available replicas were constantly flapping, creating cascading reliability issues.

Modern Image Workflows Need Speed - This Is Where AIEnhancer's Watermark Remover Fits

You know that annoying moment when you notice a watermark in a corner of a photo? It's small, maybe almost invisible, but it keeps distracting you. Sometimes you try erasing it manually, and it just... doesn't look right. AIEnhancer steps in here, helping clean images without making them feel over-edited or artificial. It's kind of like having someone do the tedious part for you, but faster.

How to Build Media Operations That Survive Full AI Automation

By the end of 2026, you will upload a product image and a budget to Meta, and its AI will generate the creatives, pick the audience, allocate spend across surfaces, and optimize in real time. Google’s Performance Max already automates bidding, asset selection, and cross‑channel allocation across Search, Shopping, YouTube, Display, and more.