
Loadster
Loader.io
LoadForge
k6 Cloud
LoadUIWeb
LoadFocus
Loadium
LoadStorm
runc
Docker Hub
Apache Thrift
Podman
LXD
Eureka
Apache ZooKeeper
SkyDNS
Loadster is a cloud-based load testing and synthetic monitoring platform for engineers who want to know how their applications behave under real traffic.
Tests run with three types of bots: Protocol Bots for HTTP testing, headless Browser Bots that render full pages and execute JavaScript in real Chrome browsers, and Playwright bots for when you want to use Playwright JS directly.
Loadster scripts can be recorded from Chrome or Firefox with the Loadster Recorder extension, edited in a built-in editor with variables, datasets, and shared includes, and then replayed from multiple cloud regions.
Each test run returns detailed page timings (TTFB, FCP, LCP, CLS, etc) alongside resource waterfalls, screenshots, and full traces you can step through in a self-hosted trace viewer. Tests scale from a handful of virtual users (bots) to hundreds of thousands across distributed cloud engines without you provisioning anything.
The same scripts can be set up as monitors that run on a schedule from chosen regions. Notification policies route incidents to email, SMS, voice, or integrations like Slack and PagerDuty. Projects, roles, and shared test history keep teams aligned on what passed, what failed, and what changed.
Pricing is usage-based via Loadster Fuel, with 50 free units on sign-up and no credit card to start.
LoadsterBased on our record, runc seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For kubeadm , kubetlet , kubectl should same version package in this lab I used v1.31 to have 1.31.7 References: Https://kubernetes.io/docs/reference/networking/ports-and-protocols/ Https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/install-kubeadm/ Https://github.com/opencontainers/runc/releases/... - Source: dev.to / over 1 year ago
Previously I wrote about the multiple variants of Docker and also the dependencies behind the Docker daemon. One of the dependencies was the container runtime called runc. That is what creates the usual containers we are all familiar with. When you use Docker, this is the default runtime, which is understandable since it was started by Docker, Inc. - Source: dev.to / over 1 year ago
Now we have dockerd which uses containerd, but containerd will not create containers directly. It needs a runtime and the default runtime is runc, but that can be changed. Containerd actually doesn't have to know the parameters of the runtime. There is a shim process between containerd and runc, so containerd knows the parameters of the shim, and the shim knows the parameters of runc or other runtimes. - Source: dev.to / over 1 year ago
It's interesting that, in light of things like this, you still see large software companies adding support for new components written in non-memory safe languages (e.g. C) As an example Red Hat OpenShift added support for crun(https://github.com/containers/crun), which is written in C as an alternative to runc, which is written in Go( - Source: Hacker News / almost 3 years ago
Yeah, runtimeClass lets you specify which CRI plugin you want based on what you have available. Here's an example from the containerd documentation - you could have one node that can run containers under standard runc, gvisor, kata containers, or WASM. Without runtimeClass, you'd need either some form of custom solution or four differently configured nodes to run those different runtimes. That's how krustlet did... Source: over 3 years ago
Loader.io - Loader.io is a simple cloud-based load testing service
Docker Hub - Docker Hub is a cloud-based registry service
LoadForge - Better, cheaper load testing for websites, APIs and servers
Apache Thrift - An interface definition language and communication protocol for creating cross-language services.
k6 Cloud - Managed load testing service built on top of the popular open-source project k6.
Podman - Simple debugging tool for pods and images