Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

When we launched DNS provider sync with six providers, one name came up in nearly every "what about..." email: Amazon Route 53. That makes sense. Route 53 runs DNS for an enormous share of production infrastructure, and it does not support zone transfers — so until now, monitoring a Route 53 zone meant relying on autodiscovery's educated guesses. Today that gap closes.

Visibility was once the finish line. Centralized monitoring and correlated logs represented meaningful progress. But hybrid cloud environments continued to expand in scale and complexity. Visibility alone no longer guarantees clarity. Across eleven operator interviews, the recurring challenge was not data scarcity. It was interpretation. Telemetry volumes were abundant. Correlation required manual effort. Alert floods introduced friction. Systems were visible, but the path to decisive action was unclear.

Playwright can catch Next.js hydration errors by listening for browser console failures and then exercising an interaction that only works after React has attached its event handlers. This detects pages that return 200 OK and display server-rendered content but fail when a customer clicks, types, or navigates. Next.js defines hydration as React attaching event handlers to the server-rendered HTML.

MCP for SLA monitoring gives an AI agent direct access to measured uptime, mean time to resolve (MTTR), mean time to acknowledge (MTTA), outages, and reliability risks. With Hyperping, you can ask Claude, Cursor, Codex, or another MCP client for an SLA report and get an answer based on your live monitoring data instead of copying numbers between dashboards. The distinction between monitoring data and SLA compliance matters. Hyperping measures availability and incident response.

When an alert lands, does your team already see the full story, or does the work start with pulling scattered data together from one tool after another? For many organizations it's the second one, where the incident itself takes a backseat while analysts hunt across dashboards. The evidence is right there, scattered across platforms that don't share context. Security observability exists to close that gap.