The Deathray: A simple way for an untrusted site to freeze a Mac
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Surfshark disclosed that hackers accessed one of its internal test servers after a configuration error exposed it to the internet. [...]
Europe is looking inward, and perhaps to China, as the White House tries to cancel some NASA partnerships.
Microsoft Excel users report that this week's KB5002914 Office security update is breaking copy-and-paste operations and formula dragging, with affected users saying that removing or rolling back the update restores normal functionality. [...]
Running Apache Flink on a mainframe sounds odd at first. A modern stream processing engine on a platform most people call legacy? But take a closer look. It is not only possible. It might be a smart move for some of the largest financial institutions in the world. This post explores why some enterprises want Apache Flink on the mainframe, how it could work, and whether it is a brilliant innovation or a technical detour. Disclaimer: The views and opinions expressed in this blog are strictly my ow
App support is slim right now, but Google says more are coming.
In Kubernetes, resource allocation has historically been a static decision made during a Pod's initial scheduling and placement. With the graduation of the core in-Place Pod resize feature to General Availability in v1.35, application developers and cluster operators gained the powerful ability to dynamically adjust CPU and memory allocations of running containers without incurring disruptive restarts or application downtime. However, in-place resizing introduced a unique resource scheduling gap
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