hands on stackflowos

Data center security is fairly well-understood on a physical level: hardware-based firewalls mitigate threats at the perimeter of the data center. IPS devices may be deployed inline within the data center. VLANs and the StackflowOs Virtual Fabric feature provide a certain amount inherent separation, and Virtual Private Networks (VPNs) provide secure access to data center resources for remote clients.
Of greater concern for most IT managers in a multitenant environment is securely isolating each tenant’s data flows from other tenants operating on the same server. To address these concerns, the StackflowOs also serves as virtual security appliance for each tenant, providing stateful firewall between tenants, as shown on the diagram below and for in-depth coverage watch the video below

The following video will guide you on how you can use the StackFlowOs to build SDN enable network

How To Install the Anaconda Python Distribution on Debian 9 And Running a public notebook server

Anaconda Distribution is an open-source package manager, environment manager and distribution of Python and R programming languages. With a collection of 1,000+ open source packages with free community support. Designed for data science and machine learning workflows, you can use it whether you are on Windows, macOS or Linux. The Anaconda distribution ships with the conda command-line package management utility. You can learn more about Anaconda and conda by reading the official Anaconda Documentation . Jupyter is a browser-based interpreter that allows you to interactively work with Python and R. Anaconda provides Jupyter as well. You can think of Jupyter as a digital notebook that gives you an ability to execute commands, take notes and draw charts.It’s primarily used by Data Scientists. But I find that very useful tool if you are learning Python or R. It’s basically the same as working on a shell but much better. The Jupyter notebook web application is based on a

How to create REST API using Django REST Framework

This post begins with already working project and app's, I found that there some few requirement's that my project needed to handle and the best option for those requirement's was to use the Django's Rest Framework. The way that I will tackle this task is more specific to the needs of the project rather than a one to one how to..., that being said you can still follow along, the approach that I'm going to use is easy to follow since I'll be providing a lot of information a log the way for better understanding of the why and how.....this code is available on Github , enough with the alerts and on with the show. Note: If you would want to mimic the exactly settings then you will need to enable user authentication on your project you can follow this link for details . Start with the DRF (Django Rest Framework) installation pip3 install djangorestframework For our app to use DRF, we'll have to add rest_framework into our settings.py. nan

django react app setting up the backend

On the previous article I demonstrated how we can use the generic views along with ModelSerializer classes to rapidly develop our REST APIs. Knowledge that you will need in your career as full stack / backend developer, however think of this article as an extension to the previous one, equipped with what we already know about REST API we will step our game up and discuss about ViewSet, ModelViewset we will dig deep into the concepts of Routers which allow us to manage our api routes in a simple and sophisticated manner as well as helping to speed up building APIs even further. There for on part II of this article i'll work you through on how React application can consume this RESTful API. There for at the end of the day we will have a full stack web app, in short we strat our development at the backend then later on we move at the frontend... so are you excited and ready to take the challange? lets do this then..... you can get source code for the bakend on github Preparat

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