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I wanted to learn Kubernetes, but the options were either "build a local lab" or pay for expensive classes built around cloud environments. I wanted something you could just open and learn from. So I built a browser-based cluster simulation with lessons to follow along.
It behaves like Kubernetes, but it's just JavaScript under the hood. Enough to run kubectl commands, create resources, and watch their lifecycle play out. There's also a live cluster visualizer so you can see your nodes, Pods, and containers in real time.
Once you've covered the concepts, you can jump into CKA drills. Each drill is a standalone, time-boxed scenario that mirrors the real exam format: a broken cluster state, a concrete task, and a pass-or-fail outcome.
The goal isn't to simulate the exam. It's to build the reflex of diagnosing and fixing things quickly, so that when you sit the real exam, the commands and the reasoning are already automatic.
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Based on our record, Dify.AI 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.
Dify is a no-code/low-code platform for building agent workflows visually. It recently raised $30 million and is used by 280 enterprises across 1.4 million deployments. - Source: dev.to / 5 months ago
TL;DR: Pick LangGraph if you want maximum control over agent architecture. Go with CrewAI for structured role-based multi-agent pipelines. Choose AutoGen if you're in the Microsoft ecosystem and need research-grade flexibility. Try Dify if you want to build AI apps visually without writing orchestration code. And if you need production agents connected to 1,000+ tools with scheduling and memory built in, Nebula... - Source: dev.to / 5 months ago
Compared to multi-model platforms like Dify or n8n, this limitation feels rather restrictive. Or rather, if you're used to it, wouldn't โโ be perfectly adequate? - Source: dev.to / 10 months ago
In the rapidly evolving landscape of artificial intelligence, the synergy between platforms and models is paramount for developing robust AI applications. Dify, an open-source LLM (Large Language Model) application development platform, offers seamless integration capabilities with CometAPI's powerful models. This article delves into the features of Dify, elucidates the integration process with CometAPI, and... - Source: dev.to / over 1 year ago
Africaโs tech ecosystem is ready to lead in AI and Web3, and Dify is the perfect tool to make that happen. As a Developer Advocate, Iโm committed to empowering African developers to innovate, collaborate, and solve local challenges with these technologies. If youโre an African developer, join the Dify Africa Community, try out the platform, and letโs build the future together. What AI and Web3 solutions would you... - Source: dev.to / over 1 year ago
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
KodeKloud - We are a fast growing EdTech startup on trending technologies in IT and Cloud Computing.
LangChain - Framework for building applications with LLMs through composability
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
OpenAI - GPT-3 access without the wait
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.