Using Software Factory to manage Red Hat OpenStack Platform lifecycle

by Nicolas Hicher, Senior Software Engineer &; Continuous Integration and Delivery
Software-Factory
Software-Factory is a collection of services that provides a powerful platform to build software. It enables the same workflow used to develop OpenStack: using Gerrit for code reviews, Zuul/Nodepool/Jenkins as a CI system, and Storyboard for stories and issues tracker. Also, it ensures a reproducible test environment with ephemeral Jenkins slaves.
In this video, Nicolas Hicher will demonstrate how to use Software-Factory to manage a Red Hat OpenStack Platform 9 lifecycle. We will do a deployment and an update on a virtual environment (within an OpenStack tenant).

Python-tripleo-helper
For this demo, we will do a deployment within an OpenStack tenant. Using a tool, developed by the engineering team that builds DCI, called python-tripleo-helper. With this tool, we can do a deployment within an OpenStack tenant using the same steps of a full deployment (boot server via IPMI, discover nodes, introspection and deployment). We also patched python-tripleo-helper to add an update command to update the OpenStack (changing parameters, not doing a major upgrade).
Workflow
The workflow is simple and robust:

Submit a review with the templates, the installation script and the tests scripts. A CI job validates the templates.
When the review is approved, the gate jobs are executed (installation or update).
After the deployment/update is completed, the review is merged.

Deployment
For this demo, we will do a simple deployment (1 controller and 1 compute nodes) with Red Hat OpenStack 9.0
Limitations
Since we do the deployment in a virtual environment, we can&;t test some advanced features, especially for networking and storage. But other features of the deployed cloud can be validated using the appropriate environments.
Improvements
We plan to continue to improve this workflow to be able to:

Do a major upgrade from Red Hat OpenStack Platform (X to X+1).
Manage a bare metal deployment.
Improve the Ceph deployment to be able to use more than one object storage device (OSD).
Use smoke jobs like tempest to validate the deployment before merging the review.

Also, it should be possible to manage pre-production and production environments within a single git repository, the check job will do the tasks on pre production and after receiving a peer’s validation, the same actions will be applied on production.
Quelle: RedHat Stack

Uber Says It Will No Longer Use Tool To Evade Law Enforcement

Daniel Sorabji / AFP / Getty Images

Uber will no longer use an internal tool called “Greyball” – which showed a fake version of its app to individual, targeted riders – to thwart local regulators, the company said Wednesday.

Uber is also reviewing how the tool is used after a New York Times report on Friday recounted how the ride-hailing giant used it to “identify and circumvent” authorities.

“We have started a review of the different ways this technology has been used to date,” Joe Sullivan, Uber’s chief security officer, wrote in a blog post. “In addition, we are expressly prohibiting its use to target action by local regulators going forward.”

In response to the New York Times story, Uber said last week that Greyball denies ride requests to users who are violating the company’s terms of service, “whether that’s people aiming to physically harm drivers, competitors looking to disrupt our operations, or opponents who collude with officials on secret ‘stings’ meant to entrap drivers.”

However, the company’s blog post on Wednesday described Greyball as a tool that has “been used for many purposes, for example: the testing of new features by employees; marketing promotions; fraud prevention; to protect our partners from physical harm; and to deter riders using the app in violation of our terms of service.”

Uber’s use of the tool became the latest public relations flub in a series of crises for the company in the last month. About 200,000 users deleted the app after a viral social media campaign in January, spurred by the perception that Uber was undermining a taxi strike. Just weeks later, a former engineer published a blistering blog post alleging systemic sexism at the company. Uber CEO Travis Kalanick apologized to staff, promised to “do better,” and told the company’s female engineers that he would strive to earn credibility.

Days later, a video showed Kalanick yelling at an Uber driver who raised concerns about falling fares, and the CEO said he would seek “leadership help.”

Uber said “a number of organizations” have contacted the company for information about how the tool is used, and that it would respond after completing its review. An Uber spokesman declined to say which organizations have contacted the company about Greyball. But in Portland, Oregon, officials have publicly called for an investigation into whether Uber used the tool to obstruct enforcement of local regulations.

“Given the way our systems are configured, it will take some time to ensure this prohibition is fully enforced,” Sullivan said in Uber’s blog post.

Asked to elaborate on why it would “take some time,” an Uber spokesman declined to comment.

LINK: Uber’s ‘Greyball’ Technology Helped It Sidestep Law Enforcement Around The World

LINK: Uber CEO Apologizes To Employees After Claims Of Workplace Sexism

Quelle: <a href="Uber Says It Will No Longer Use Tool To Evade Law Enforcement“>BuzzFeed

Amazon EMR release 5.4.0 and support for R4 instances now available

You can now use upgraded versions of Apache HBase (1.3.0), Presto (0.166), Apache Zeppelin (0.7.0), Apache Phoenix (4.9.0), and Apache Flink (1.2.0) on Amazon EMR release 5.4.0. These new versions of supported applications have various improvements and bug fixes. Additionally, you can now create Amazon EMR clusters with R4 instances, the next generation of Amazon EC2 Memory Optimized instances. Amazon EMR has also expanded support for M4 (General Purpose) and C4 (Compute Optimized) instances to AWS GovCloud.
Quelle: aws.amazon.com

AWS Microsoft AD simplifies on-premises user sign-in to the AWS Management Console

Today, AWS Directory Service for Microsoft Active Directory (Enterprise Edition), also known as AWS Microsoft AD, simplified on-premises user sign-in to the AWS Management Console. Now, you can enable your users to access and manage AWS resources by signing in to the AWS Management Console with their on-premises Active Directory (AD) credentials. This enables you to reuse your on-premises AD security policies such as password expiration and account lockout while still controlling access to the AWS Management Console and AWS resources. 
Quelle: aws.amazon.com

I Made A Facebook Profile, Started Liking Right Wing Pages, And Radicalized My Newsfeed In 4 Days

I Made A Facebook Profile, Started Liking Right Wing Pages, And Radicalized My Newsfeed In 4 Days

As an experiment, I hit the like button on the pages of a few Republican politicians and all of a sudden I found myself in a very different part of Facebook then I was used to.

Last week, I did something sort of weird. I made a brand-new Facebook profile.

youtube.com

Here’s my completely empty News Feed.

Here's my completely empty News Feed.

I added a profile picture and some personal information, like what college I went to and the fact that I work at BuzzFeed, and I put down that I was based in New York.

I added a profile picture and some personal information, like what college I went to and the fact that I work at BuzzFeed, and I put down that I was based in New York.

The News Feed is a tool for consuming not just news stories and memes that interest you, but also those that your friends like. Few people — if anyone — use Facebook the way I have. Your friends&; interests and tastes have a tremendous effect on what you see. But I wanted to see how Facebook&039;s recommendation algorithms worked in a purely friendless vacuum. What kind of content would it suggest if all it had to go on was what I liked, rather than who?


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Quelle: <a href="I Made A Facebook Profile, Started Liking Right Wing Pages, And Radicalized My Newsfeed In 4 Days“>BuzzFeed