Operations | Monitoring | ITSM | DevOps | Cloud

bigpanda

From AIOps to agentic ITOps: Why AI for IT operations has entered a new era

Jul 21, 2026 By Sam Osborn In BigPanda
Enterprise IT has reached an inflection point. Your teams are responsible for hybrid cloud infrastructure, microservices, third-party dependencies, and shipping AI-generated code at unprecedented velocity. IT environments are becoming more complex faster than traditional tools and processes can keep pace. Alert volumes keep climbing. Institutional knowledge keeps walking out the door. And the pressure to do more with flat or shrinking budgets isn’t letting up.
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hyperview

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

Jul 21, 2026 By Jad Jebara In Hyperview
“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.
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I'll have my AI agent call your AI agent: Battle for your digital hub

Jul 21, 2026 By Sumo Logic, Inc. In Sumo Logic
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.
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hyperping

How to Monitor WooCommerce Checkout With Playwright

Jul 21, 2026 By Leo Baecker In Hyperping
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.
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hyperping

Monitor Magento Checkout With Playwright: Full Guide

Jul 21, 2026 By Leo Baecker In Hyperping
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.
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Instant Kubernetes Observability with Proxymock #speedscale #kubernetes #ebpf #devops #cloudnative

Jul 21, 2026 By Speedscale In Speedscale
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.
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VictoriaMetrics

GPU Observability with the OpenLIT Collector and the VictoriaMetrics observability stack

Jul 21, 2026 By Aman Agarwal / Roman Khavronenko In VictoriaMetrics
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.
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lightrun

SDLC Phases and the Reliability Gap AI Can't Close

Jul 21, 2026 By Lightrun Team In Lightrun
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.
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