apisix-docker VS askai

This project leverages existing the pre-defined Docker Compose configuration file to set up, deploy, and run APISIX, etcd, Prometheus, and other services with a single command. First, clone the apisix-docker repo on GitHub, open it in your favorite editor, navigate to the example folder, and start the project by simply running docker compose up command in a terminal from the project root folder.

We will leverage the existing file-proxy demo project on GitHub. It has a quite similar structure to the existing Apisix docker example repo, only we removed unnecessary files to keep the demo simple. The project has 3 folders, docker-compose.yml, and sample openapi.yaml files.

git clone https://github.com/apache/apisix-docker.git

This first thing you clone the apisix-docker project repo from GitHub:

Apache APISIX Apache APISIX is an open source, dynamic, real-time, high-performance cloud native API gateway. APISIX provides rich traffic management features such as load balancing, dynamic upstream, canary release, circuit breaking, authentication, observability, and more. Official website https://apisix.apache.org/ GitHub projects APISIX (the core): https://github.com/apache/apisix GitHub - apache/apisix: The Cloud-Native API Gateway GitHub - apache/apisix-dashboard: Dashboard for Apache APISIX GitHub - apache/apisix-website: Apache APISIX Website GitHub - apache/apisix-docker: the docker for Apache APISIX GitHub - apache/apisix-go-plugin-runner: Go Plugin Runner for APISIX GitHub - apache/apisix-java-plugin-runner: APISIX Plugin Runner in Java GitHub - apache/apisix-python-plugin-runner: Apache APISIX Python plugin runner GitHub - apache/apisix-helm-chart: Apache APISIX Helm Chart GitHub - apache/apisix-ingress-controller: ingress controller for K8s

We made use of Apache APISIX docker compose repo where we deployed several components in one run and we demonstrated how the API Gateway can be used to manage sample ASP.NET Core application to retrieve product data using Product microservice's API. Also, you learned how to enable limit-count plugin for the API endpoint. There are many other built-in plugins available in Apache APISIX, you can check them on Plugin Hub page. Basically, APISIX can be a lightweight middleware API Gateway regardless of which programming language, frameworks, tools, or platforms you are developing a microservice or application.

In this demo, we are using Apache APISIX Docker repo and it contains an example docker-compose.yaml file and with other config files that makes straightforward to start APISIX using docker compose. We try out this example:

APISIX uses etcd to save and synchronize configuration. Before installing APISIX, you need to install etcd on your machine. It would be installed automatically if you choose the Apache APISIX Docker compose mode, you will learn more about on the next blog post Use Docker Compose to deploy containerized APISIX to AWS ECS.

The apisix-security-java-spring project makes use of the similar example APISIX docker compose template.

✔️ Create an Azure resource group. ✔️ Configure Azure Container Instances. ✔️ Create a Azure context for Docker to offload Apisix and etcd containers execution to ACI. ✔️ Get Apache APISIX example source code for Docker from GitHub. ✔️ Modify Docker compose file there. ✔️ Setup volumes in Azure Storage Account with Azure File Share. ✔️ Add APISIX config files to Azure File Share. ✔️ Bring up APISIX in Azure Container Instances. ✔️ Verify APISIX running. ✔️ Cleanup after you finish.

By following these steps, developers can train ChatGPT on their own data. This will allow to give personalized, accurate, and domain-specific responses. Keep in mind that this process requires technical skills and can take more time than using no-code platforms.

ChatGPT prompt: Act like a senior software developer mentor. Explain to me in the simplest way possible what javascript Symbols are, making very basic examples that DO NOT use "foo" "bar" words. Make small sentences and ask me often if I am able to understand. Thank you.

AI and LLMs such as ChatGPT are amazing at what they do, but they suffer from the lack of "an opposable thumb", to use an analogy. This implies that as stand alone products, they can't really do much, if anything at all.

Prompt Engineering is the art of instructing an LLM such as ChatGPT to do what you want it to do, using nothing but natural language, logic, and reason. The process is probably easily within reach of 80% of the world's population, while less than 0.3% of the world's population knows how to code.

ChatGPT, launched in November 2022, quickly became a sensation, amassing over a million users within its first five days. This staggering adoption rate signifies more than mere curiosity; it reflects a genuine interest in AI's potential to revolutionize writing. Built on the GPT (Generative Pre-trained Transformer) architecture, ChatGPT learns from a vast corpus of online text, enabling it to generate human-like responses across a wide range of topics and styles.

If you are new to OpenAI, create your OpenAI account here. Once you’ve successfully created an account, go on to API key section by using the same credentials you used when creating your account. On the left panel of the screen, click on “API Keys” and then proceed to click on “Create new secret key”. This is shown below:

A friend of mine asked ChatGPT to suggest an open source low-code software development platform for AI solutions, and it suggested Magic. Magic is our flagship product, and when I describe what it does I tend to use a lot of words. Below is the identity definition of it.

We'll use several interesting technologies to achieve this: Strapi CMS to take care of the content management and backend, Astro which is a great new technology for quickly creating blazing fast frontend apps, and ChatGPT to provide the article summaries.