cli VS kubernetes

You can use tools such as Snyk to generate your reports. Snyk also powers the docker scan command that's integrated into Docker's CLI.

Scan your projects for vulnerabilities regularly More development platforms add features to check if the dependencies of your application contain a vulnerable packages. In modern ASP.NET you can use dotnet list package --vulnerable and in NPM you can use npm audit. It's even better to automatically scan your dependencies regularly. You can use tools like snyk or mend.io (formerly Whitesource) to help you with that. Those tools are expensive but have some advanced features.

Snyk

Hi folks, I'm diving into Snyk this time. This is a platform for developer security that helps protect infrastructure as code, dependencies, containers, and code. Snyk includes the following products and mostly focuses on security and dependency monitoring:

In this article, you learned all about how SQL injections manifest in Node.js applications and discovered multiple strategies to help prevent them. From updating your ORM and SQL libraries, sanitizing user inputs, and using query placeholders to leveraging the Snyk IDE extension for Visual Studio Code, you have a whole host of measures to secure your Node.js applications against SQL injection attacks.

Snyk is one of the most popular tools to work with security stuff and helps you to find vulnerabilities in your not just codebase but infrastructure.

So you've just bought a new platform tool? Maybe it's Hashicorp Vault? Snyk? Backstage? You’re excited about all of the developer experience, security and other benefits you're about to unleash on your company—right? But wait…

Snyk can also be used as an IDE extension to find insecure code in React codebases and can help you fix any security vulnerabilities in open source dependencies.

It’s become so ubiquitous, that it’s easy to forget what a marvel the HTTP specification truly is. When you browse to website, like https://snyk.io, that triggers a flurry of additional HTTP requests to retrieve JavaScript, images, videos, and other assets. And within seconds, you see a fully rendered page. In fact, the goal of any consumer-facing website is to deliver an entirely rendered web page within a few seconds at most, or else they could lose traffic to a slightly faster site (seconds add up!).

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.

Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.

If you do kubectl explain deployment than (surprise!) you'll get a description for extensions/v1beta1. Because kubectl explain works the same way, just like kubectl get:

Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).

In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.