Linux System Monitoring with eBPF

May 4, 2018

Table of Contents

The Linux kernel is an abundant component of modern IT systems. It provides the critical services of hardware abstraction and time-sharing to applications. The classical metrics for monitoring Linux are among the most well known metrics in monitoring: CPU utilization, memory usage, disk utilization, and network throughput.

For a while now, Circonus installations have organized, the key system metrics in the form of a USE Dashboard, as a high level overview of the system resources.

Source: circonus.com

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NetChain: Scale-free sub-RTT coordination

NetChain won a best paper award at NSDI 2018 earlier this month. By thinking outside of the box (in this case, the box is the chassis containing the server), Jin et al. have demonstrated how to build a coordination service (think Apache ZooKeeper) with incredibly low latency and high throughput.

Lessons from Building Static Analysis Tools at Google

Here, we describe how we have applied the lessons from Google’s previous experience with FindBugs Java analysis, as well as from the academic literature, to build a successful static analysis infrastructure used daily by most software engineers at Google. Google’s tooling detects thousands of problems per day that are fixed by engineers, by their own choice, before the problematic code is checked into Google’s companywide codebase.

Google gVisor, a sandboxed container runtime

To that end, we’d like to introduce gVisor, a new kind of sandbox that helps provide secure isolation for containers, while being more lightweight than a virtual machine (VM). gVisor integrates with Docker and Kubernetes, making it simple and easy to run sandboxed containers in production environments.

Linux System Monitoring with eBPF

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