Operations | Monitoring | ITSM | DevOps | Cloud

Actionable Intelligence, Not Artificial Intelligence: What AI in Data Center Management Actually Requires

“AI-powered” has become a marketing label applied to almost any data center software feature. A more useful and precise term is actionable intelligence — a four-level maturity model (descriptive, diagnostic, predictive/prescriptive, and cognitive) that shows whether a platform’s AI claims are backed by real data infrastructure or just a chatbot layered on top of an incomplete system.

I'll have my AI agent call your AI agent: Battle for your digital hub

On this episode of Masters of Data, we unpack what it actually means to expect AI to be the primary interface for everything we do. We dig into the pull toward centralizing work in a single hub like Claude versus staying spread across specialized tools like Slack, Asana and Zoom, and where the line sits between helpful automation and letting an agent speak on your behalf. We also get into the "chief of staff" agent workflow for daily roundups and why specialized, best-of-breed tools aren't going anywhere, even as hubs get smarter.

How to Monitor WooCommerce Checkout With Playwright

A WooCommerce checkout monitor should verify that a shopper can open a product, add it to the cart, reach checkout, enter valid details, and see a usable payment option. Playwright is a good fit because these failures often happen after the server has already returned a successful HTTP response. WooCommerce itself uses Playwright for its end-to-end tests. A scheduled production check uses the same browser behavior for a different purpose: finding a broken customer journey between deployments.

Monitor Magento Checkout With Playwright: Full Guide

A Magento checkout monitor should prove that a customer can select a product, create a cart, reach checkout, enter a shipping address, and load the expected delivery and payment methods. Playwright can test the rendered storefront while also checking the GraphQL or REST requests behind it. Adobe Commerce and Magento Open Source provide several testing tools, including a Functional Testing Framework and web API tests.

Instant Kubernetes Observability with Proxymock #speedscale #kubernetes #ebpf #devops #cloudnative

Learn how to get instant observability into your Kubernetes cluster by installing the Speedscale operator and proxymock tool. In this step-by-step tutorial, we walk you through setting up the operator to capture live network traffic (including encrypted traffic, API calls, and database calls) without complex instrumentation or manual configuration.

GPU Observability with the OpenLIT Collector and the VictoriaMetrics observability stack

This post is a joint effort by the OpenLIT and VictoriaMetrics teams. OpenLIT brings the OTel-native GPU collector for NVIDIA, AMD, and Intel hardware, while VictoriaMetrics provides the storage and query layer for the resulting metrics. We wrote it together to show how the two projects fit into a single, self-hosted observability pipeline, and to share the queries and rules that worked well for us along the way.

SDLC Phases and the Reliability Gap AI Can't Close

Decisions in each SDLC phase from planning to design, development, testing, deployment, and maintenance are made without sight of live production behavior. AI coding agents are widening that visibility gap faster, working faster than human engineers ever could. This piece maps exactly how this gap presents at each phase, and the harm that this brings.

Preparing for CIP-015: Building Operational Resilience Through Visibility, Detection, and Segmentation

Utility organizations preparing for CIP-015 should think beyond compliance. The organizations that will be best positioned are those investing in comprehensive network visibility, continuous operational intelligence, and segmentation to strengthen cyber resilience and operational continuity. This article explains what CIP-015 means, why it matters, and how Teneo helps utilities build a practical roadmap toward operational resilience.

Scanners aren't enough. Here's the layer most teams are missing.

Vulnerability scanners tell you what's wrong with what you already pulled. They don't stop a malicious package from entering your environment in the first place. A private registry with minimum release age policies adds that missing layer – packages newer than two or three days don't reach developers until the industry has had time to identify and remove malicious ones from public registries. Active campaigns like TeamPCP are targeting npm, PyPI, and Maven Central right now. The gate has to come before the scan. Cloudsmith provides that gate.