Search Results for "pid"

...It lets you visualize what your Python program is spending time on without restarting the program or modifying the code in any way. py-spy is extremely low overhead: it is written in Rust for speed and doesn't run in the same process as the profiled Python program. This means py-spy is safe to use against production Python code. py-spy works from the command line and takes either the PID of the program you want to sample from or the command line of the python program you want to run. py-spy has three subcommands record, top and dump. py-spy supports recording profiles to a file using the record command. Top shows a live view of what functions are taking the most time in your python program, similar to the Unix top command.

...Talus watches file operations at the kernel level and reacts in seconds — not after the fact. - eBPF tracepoints: execve / openat / unlink / mkdir — no kernel module, no LSM patching - per-PID scoring with a 1-second sliding window over file-operation rates - automated response: SIGKILL the offending process the moment the threshold breaks - per-CPU perf buffers, zero-copy handoff: ~280k events/s at ~7.6% CPU - optional neural engine (MeMLP) trained online from heuristic verdicts - self-sandboxing agent: CAP_BPF|CAP_PERFMON|CAP_NET_ADMIN, seccomp + Landlock - TUI with live syscall stream, per-PID scores and verdicts Install: pip install talus-process-monitor && talus-monitor install License: MIT — free for commercial use.

...Our hope is that by bringing a better set of controls to a node, we can unlock brilliant higher-order distributed systems in the future. Aurae deploys a memory-safe 1 runtime daemon, process manager, and PID-1 initialization system to remotely schedule processes, containers, and virtual machines as well as set node configurations (e.g., networking storage). Through system proportioning and enterprise workload isolation techniques, the Aurae open-source project can complement higher-order schedulers and control planes (such as Kubernetes) as Aurae supports the usage of multi-tenant workloads and enterprise identities all the way down to the socket layer.