Operations | Monitoring | ITSM | DevOps | Cloud

Toil Reduction Outside the Data Center: Lessons From the Clinical Front Office

Ask an operations team where the week went, and you'll usually get a list of things that shouldn't have needed a person. Access requests provisioned by hand. A disk cleared for the ninth time this quarter. Certificates rotated one at a time because the renewal script was scoped, estimated, and never finished. None of it is difficult, and all of it is necessary. And at the end of the quarter there's nothing to point at, because the work left no trace beyond the absence of an outage.

An Agent Is Only as Good as the Baseline It Reasons Against

Every vendor in networking has an agent story right now. The useful question for an operations leader is which of those agents can plan, act, and verify against a trustworthy model of the network, and which are assistants that retrieve and suggest, then leave the decision to a person. The direction of travel is settled.

Kubernetes GPU Scheduling for MLOps and GPU Sharing

The default Kubernetes scheduler was built for stateless services: web servers, APIs, databases. It schedules a pod, checks that a node has enough of whatever resources were requested, and binds it. For CPU and memory, that model works fine. For GPUs, it falls apart in three specific ways. First, GPUs are treated as an opaque integer resource.

How the Vulnerability Management Lifecycle Runs from Discovery to Verified Fix

Who in your organization can say, without opening three separate systems, whether last month's critical findings are actually closed? A deployment record answers half of that. The other half needs a rescan, and the rescan often never happens. The vulnerability management lifecycle is that question written down as a repeatable process. It runs from knowing what you own through to proving a fix landed, and it restarts the moment it closes.

8 Best Vulnerability Management Tools for Scanning, Prioritizing and Patching

A vulnerability scanner will hand you more work in one afternoon than the service desk can clear in a quarter. Thousands of findings arrive ranked by severity, every one of them technically actionable. Fixing them takes weeks, and in most organizations the backlog grows faster than it clears. That gap is what this guide is about. Every tool here scans reliably, scores findings sensibly and reports clearly.

Redgate Monitor's Product Updates - August 2026

This month, we wanted to spotlight some of the new cloud features that shipped last month and are enabling teams to keep pace with database estates that increasingly span multiple platforms and providers. We also have updates for Monitor Enterprise users that improve alerting for permission changes. Here's what's new in Monitor.

Are AI Coding Agents the New CI Bottleneck?

AI coding agents are moving the software bottleneck from writing code to validating it. Here’s what that means for CI infrastructure, capacity planning, and software quality. This topic is explored in more detail in “CI Can’t Keep Up With AI,” an episode of Uplink, where Aditya “JP” Jayaprakash, Co-founder and CEO of Blacksmith, discusses how AI coding agents are reshaping CI and software delivery. Table of Contents.

A practical guide to risk-based code review

Traditional code review no longer keeps pace with how much code teams are shipping. Risk-based code review is the response: instead of giving every pull request the same scrutiny, you route human attention by risk, letting low-risk changes ship with light or automated review and reserving deep human review for the changes that are expensive to get wrong.

Building trusted agentic AI in financial services: From data to autonomous action

As financial institutions move from AI experimentation to autonomous operations, trusted context, governance, and observability become the foundation for enterprise-scale Agentic AI. Artificial intelligence in financial services is entering a new era. Historically, financial services companies have focused on deploying generative AI to improve productivity, enhance customer experiences, accelerate software development, and streamline operations.