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What Healthcare Organizations Should Look for in a Specialized Cybersecurity Partner

Healthcare organizations are operating in one of the most challenging cybersecurity environments today. Hospitals, clinics, medical device manufacturers, and healthcare networks rely heavily on connected technologies to deliver care, manage patient records, and coordinate operations. While these digital systems improve efficiency and patient outcomes, they also create more opportunities for cybercriminals to exploit vulnerabilities. Healthcare data remains highly valuable, and attackers understand that medical organizations often cannot afford extended downtime.

The Kubeshark Workflow That Doesn't Stop at the Dashboard

The Observability Gap shows up the moment you try to reproduce a production bug locally. Your traces tell you a request was slow. Your logs tell you which line printed. Neither tells you what was actually on the wire: the headers, the JSON body, the surprise field your client started sending last Tuesday. Until now, closing that gap meant SSHing to a node, attaching a debugger, or shipping a sidecar through change review.

The Hybrid Shift: Where Workloads Are Headed and How to Move Them

Businesses migrating from a single, public cloud provider has been the direction of travel of UK digital infrastructure for years. As far back as 2020, Barclays found that 43% of enterprise CIOs were already planning to bring workloads back from the public cloud to on-premises or private cloud infrastructure. Since then, IDC, Gartner and a host of vendor surveys have tracked an increase in this intention.

Let AI Run Your Cloud Infra? Ex-VMware & SAP Architects Weigh In. (ft. TechWorld with Nana)

Can you trust AI to run your platform? AI can now spin up production infrastructure in minutes — but speed cuts both ways. In this episode, Nana(TechWorld with Nana) sits down with Doron Grinstein and Dan Wilson, two architects who built, broke, and fixed platforms at VMware and SAP, for a no-hype look at platform engineering in the age of AI.

The AI Agent Accountability Gap: Why Network Policies, API Gateways, And RBAC Are Not Enough

In The Five Pillars of AI Agent Accountability: A Diagnostic Framework for Engineering Leaders, we walked through each pillar of AI agent accountability (traceability, authorization provenance, identity and ownership, policy at scale, and human oversight) and argued that most enterprises today sit at Level 0 or Level 1 of the Accountability Maturity Model. The most common reaction we get when we share that framework is some version of: “We’re already covered. We have network policies.

Bring Your Playwright Suite to Harness: No Rewrites, No Infrastructure, AI-Powered Triage Built In | Harness Blog

Key Takeaway: Harness AI Test Automation now runs existing Playwright suites without code changes, adds AI-powered failure triage, and integrates test results directly into build and deployment pipelines. ‍

Bridging Bedrock Skills with AI: A Conversation with Jeremy Bradberry

What happens when decades of operational experience meet modern AI-driven networking? In the latest episode of Next-Gen Network Heroes, Bob Slevin sits down with Jeremy Bradberry, Senior Network Engineer at Delaware North, to explore how network engineers can modernize infrastructure without losing sight of the operational realities behind the technology. Jeremy shares lessons learned from working on legacy manufacturing systems, how AI is helping engineers analyze data and automate workflows faster than ever before, and why strong standards still matter in today’s AI era.

Spend less time on repetitive tasks with the new automation feature in Grafana Assistant

The ability to schedule regular tasks, such as cron jobs, has been around for decades. So why are we still running the same AI prompts by hand every day? As you use Grafana Assistant, our AI-powered observability agent, to stay on top of the state of your system, you likely find yourself asking the same questions. Maybe you want to know what changed overnight, or whether yesterday's deployment hurt latency, or which dashboards or skills are drifting out of date.