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Top 32 Nmap Command Examples For Sys/Network Admins

Nmap is short for Network Mapper. It is an open source security tool for network exploration, security scanning and auditing. However, nmap command comes with lots of options that can make the utility more robust and difficult to follow for new Linux users.

The purpose of this post is to introduce a user to the nmap command line tool to scan a host and/or network, so to find out the possible vulnerable points in the hosts. You will also learn how to use Nmap for offensive and defensive purposes.

Read more at NixCraft

Keynote: Cloud Native Networking- Amin Vahdat, Fellow & Technical Lead For Networking, Google

https://www.youtube.com/watch?v=1xBZ5DGZZmQ?list=PLbzoR-pLrL6p01ZHHvEeSozpGeVFkFBQZ

Amin Vahdat, Fellow & Technical Lead For Networking at Google, talks about networking challenges we’ll face over the next decade at Open Networking Summit.

Voice-Controlled Home Automation from Scratch Using IBM Watson, Docker, IFTTT, and Serverless

https://www.youtube.com/watch?v=xM1b8Au4pa4?list=PLbzoR-pLrL6pSlkQDW7RpnNLuxPq6WVUR

At the recent Embedded Linux Conference, IBM IoT/Mobile software engineer Kalonji Bankole and IBM Cloud & Watson developer Prashant Khanal detailed Big Blue’s spin on serverless, called IBM Bluemix OpenWhisk

This Week in Open Source News: Google Fuchsia Pros & Cons, Microsoft’s Steady Linux Embrace & More

This week in OSS & Linux news, Jack Wallen shares a rundown of Google Fuchsia features and how they affect Android, Microsoft can no longer ignore Linux in the data center, & more! Read on to stay open-source-informed!

1) Jack Wallen shares pros and cons of Google Fuchsia

What Fuchsia Could Mean For Android– TechRepublic

2) “Microsoft is bridging the gap with Linux by baking it into its own products.”

How Microsoft is Becoming a Linux Vendor– CIO

3) Sprint’s CP30 “is designed to streamline mobile core architecture by collapsing multiple components into as few network nodes as possible.”

Sprint Debuts Open Source NFV/SDN Platform Developed with Intel Labs– Wireless Week

4) Move over, Siri! Open source Mycroft is here to assist us.

This Open-Source AI Voice Assistant Is Challenging Siri and Alexa for Market Superiority– Forbes

5) Heterogenous memory management is being added to the Linux kernel. Here’s what that will mean for machine learning hardware:

Faster Machine Learning is Coming to the Linux Kernel– InfoWorld

Product Development in the Age of Cloud Native

In a cloud native world, where workloads and infrastructure are all geared towards applications that spend their entire life cycle in a cloud environemnt, One of the first shifts was towards lightning fast release cycles. No longer would dev and ops negotiate 6 month chunks of time to ensure safe deployment in production of major application upgrades. No, in a cloud native world, you deploy incremental changes in production whenever needed. And because the dev and test environments have been automated to the extreme, the pipeline for application delivery in production is much shorter and can be triggered by the development team, without needing to wait for a team of ops specialists to clear away obstacles and build out infrastructure – that’s already done.

Read more at Open Source Entrepreneur Network

Google Reveals a Powerful New AI Chip and Supercomputer

At the company’s annual developer conference today, CEO Sundar Pichai announced a new computer processor designed to perform the kind of machine learning that has taken the industry by storm in recent years.

The announcement reflects how rapidly artificial intelligence is transforming Google itself, and it is the surest sign yet that the company plans to lead the development of every relevant aspect of software and hardware.

Perhaps most importantly, for those working in machine learning at least, the new processor not only executes at blistering speed, it can also be trained incredibly efficiently. Called the Cloud Tensor Processing Unit, the chip is named after Google’s open-source TensorFlow machine-learning framework.

Read more at Technology Review

Security Debt is an Engineer’s Problem

Just like organizations can build up technical debt, so too can they also build up something called “security debt,” if they don’t plan accordingly, attendees learned at the WomenWhoCode Connect event at Twitter headquarters in San Francisco last month.

Security has got to be integral to every step of the software development process, stressed Mary Ann Davidson, Oracle’s Chief Security Officer, in a keynote talk with about security for developers with Zassmin Montes de Oca of WomenWhoCode.

AirBnB’s Keziah Plattner echoed that sentiment in her breakout session. “Most developers don’t see security as their job,” she said, “but this has to change.” She shared four basic security principles for engineers. First, security debt is expensive. There’s a lot of talk about technical debt and she thinks security debt should be included in those conversations.

Read more at The New Stack

Functions as a Service – Deploying Functions to Docker Swarm via a CLI

Functions as a Service or FaaS (by Alex Ellis) is a really neat way of implementing serverless functions with Docker. You can build out functions in any programming language and then deploy them to your existing Docker Swarm.

In this post we’ll look at an experimental CLI for making this process even easier.

How it works

The diagram below gives an overview of how the FaaS function package, the Docker image, and the faas-cli deploy command fit together.

Read more at Dev.to

3 Benefits You Didn’t Expect from Linux Containers

Linux containers are gaining significant ground in the enterprise, which is not surprising, since they make so much sense in today’s business environment. With that said, container technology as we know it today is relatively new, and companies are still in the process of understanding the different ways in which containers can be leveraged.

In a nutshell, Linux containers enable companies to package up and isolate applications with all of the files necessary for each to run. This makes it easy to move containerized applications among environments while retaining their full functionality.

Read more at NetworkWorld

Peace, Love and SDN

Virtualization has been a blessing for data centers – thanks to the humble hypervisor, we can create, move and rearrange computers on a whim, without thinking about the physical infrastructure.

The simplicity and efficiency of VMs has prompted network engineers to envision a programmable, flexible network based on open protocols and REST APIs that could be managed from a single interface, without worrying about each router and switch.

The idea came to be known as software defined networking (SDN), a term that originally emerged more than a decade ago. SDN also promised faster network deployments, lower costs and a high degree of automation. There was just one problem – the lack of software tools to make SDN a reality.

Read more at Datacenter Dynamics