
Loadster
Loader.io
LoadForge
k6 Cloud
LoadUIWeb
LoadFocus
Loadium
LoadStorm
etcd
Apache ZooKeeper
Docker Hub
Eureka
Apache Thrift
SkyDNS
runc
Traefik
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, etcd seems to be more popular. It has been mentiond 39 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.
Kubernetes runs on etcd, which uses the Raft consensus algorithm. It's a proven model for what it was designed to do: keep a single cluster's state perfectly consistent. When you create a deployment or a pod dies, every node in the cluster agrees on the new state of the world almost instantly. - Source: dev.to / 3 months ago
However, custom controllers face significant challenges when handling large volumes of data. Kubernetes relies on ETCD for all data storage, which limits scalability, flexibility, and performance for complex or high-volume workloads. What are the main issues? - Source: dev.to / 11 months ago
For storing data in Kubernetes, we have another key component of the Control Planeโ โ โetcd. - Source: dev.to / about 1 year ago
Etcd: A distributed key-value store maintaining cluster state and configuration data. ETCD backup strategies are critical for disaster recovery. - Source: dev.to / 12 months ago
So we have to then take into consideration our data store and investigate if it's able to handle this form of incrementation. Conveyor CI uses etcd, a key-value store, it is reliable and highly performant. As we investigated further into the architecture of etcd, we realized that internally etcd uses Multi-Version Concurrency Control (MVCC) which allows reads at specific revisions of a record or key. This means... - Source: dev.to / about 1 year ago
Loader.io - Loader.io is a simple cloud-based load testing service
Apache ZooKeeper - Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.
LoadForge - Better, cheaper load testing for websites, APIs and servers
Docker Hub - Docker Hub is a cloud-based registry service
k6 Cloud - Managed load testing service built on top of the popular open-source project k6.
Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.