Operations | Monitoring | ITSM | DevOps | Cloud

Modern Tech and the Future of Sewer Line Repairs

Sewer line problems used to mean absolute chaos for property owners. Heavy machinery would tear up yards, driveways, and beautiful gardens just to reach a single broken pipe. New methods allow teams to inspect and fix underground systems without destroying the surface environment. Property owners can now resolve major plumbing issues with far less stress. Modern systems keep the water flowing safely and protect local properties from massive structural damage.

The Growing Importance of Protecting and Storing Digital Data

Every modern operation relies on digital files to function smoothly every day. Losing access to customer records creates immediate chaos for any team. Modern networks face constant threats from hardware failures and malicious external actors. Organizations must build reliable habits to shield their information before problems occur.

Never Miss a Device: Achieving Continuous Patch Compliance in an Era of Persistent Threats

Does your organization achieve 95% or greater patch deployment success, as demanded by SLAs and regulatory frameworks? Odds are you don't, as most organizations only hit the 90% mark due to common issue: Devices that miss scheduled maintenance windows leave IT teams like yours scrambling to manually, reactively close compliance gaps.

Uber blew its annual AI budget in 4 months

Uber burned through its entire annual AI budget in under 4 months. Here's what went wrong — and what every engineering org should be doing instead. The data: 80% more code is getting pushed with AI… but only 18% of AI-written code actually ships to production. That's not a productivity story. That's a spend problem. If you're scaling AI tooling without real-time monitoring and guardrails, you're Uber.

I thought I invented this. Then I opened TikTok

The video was a product manager who claimed she worked at Netflix. (Her claim, not mine. I have no way of verifying it, and I can’t find the video now.) She was talking about how Netflix now requires every PM to vibe code a working prototype before presenting an idea to engineering. Show, don't spec. Build the thing first. I sat there for about ten seconds being mildly annoyed.

How a unified data model improves feature flag rollout decisions

Consolidation is reshaping the experimentation and feature management landscape. Tools are merging, and partnerships are being repackaged as platforms. But marketing a unified experience is not the same as building one. Right now, engineering leaders and product managers are reassessing whether the tools they depend on are built for the long term. It’s irrelevant which vendor has the most products.

Monitor LLM routing with the Kubernetes Inference Extension

If you serve LLMs on Kubernetes without inference-aware routing, your load balancer is likely wasting inference capacity. Generic HTTP traffic management blindly routes requests, assuming the backends in your cluster are interchangeable. But your model-serving backends are stateful and unevenly prepared to handle any given request. As a result, requests are often routed to the backend that’s not the one best suited to respond.

Can DevOps work in regulated industries?

Cortex co-founder and CTO Ganesh Datta sits down with Matt Bailey, DevOps consultant and founder of Merge Ready. Matt shares lessons from helping large regulated organizations in finance, healthcare, and government transform their DevOps practices, and explains why DevOps is an outcome rather than a toolchain.

Cortex | Workflows Run API

Cortex Workflows can now be triggered externally via the Workflows Run API (beta). In this video, Solutions Architect Jeff Schnitter walks through how to trigger a workflow from the Cortex CLI, pass context via a JSON file, and run synchronously or asynchronously. Requires CLI v1.15.0+ and the "runnable via API" toggle enabled on the workflow. To enable the Workflows Run API in your workspace, contact your CSM.