Feed aggregator

AWS Load Balancer Configuration

Freelancer.com - Mon, 07/22/2019 - 13:25
Attached is a diagram of an AWS architecture which is in place and functional in Production. There is an issue that the ELB according to the architect cannot handle the https requests, therefore he put a windows instance in front of ELB just to reroute the HTTPS to HTTP... (Budget: $30 - $250 USD, Jobs: Amazon Web Services, Cloud Computing, Linux, System Admin)
Categories: Freelance, Linux

I need 4g proxies to create from 0, how to do?

Freelancer.com - Mon, 07/22/2019 - 13:19
Hi, I have a phone with a SIM where inside there is a data plan with internet. Everytime that I am using airplane mode the IP is changing. I need to have a system where I will have an IP/PROX/SERVER i don't know, where will be there the mirror of my connection of phone... (Budget: $30 - $250 USD, Jobs: Linux, Server, VPS, Web Hosting, Windows Server)
Categories: Freelance, Linux

Is SONiC, the Open Source Network OS, Ready for Mainstream? - Data Center Knowledge

Linux News - Mon, 07/22/2019 - 13:19
Is SONiC, the Open Source Network OS, Ready for Mainstream?  Data Center Knowledge

Asking recently to join the Linux security mailing list, one of the Linux distributions Microsoft highlighted was SONiC, or Software for Open Networking in the ...

Categories: Linux

Company of Heroes 2 for macOS and Linux: Commanders update out now - GamingLyfe Network

Linux News - Mon, 07/22/2019 - 13:13
Company of Heroes 2 for macOS and Linux: Commanders update out now  GamingLyfe Network

Feral Interactive today announced that Company of Heroes™ 2, the ever-popular WWII strategy game, has been updated with five new Commanders. Originally ...

Categories: Linux

Huawei Secretly Helped Build North Korea's Wireless Network, Leaked Documents Suggest

Slashdot.org - Mon, 07/22/2019 - 13:02
Chinese tech giant Huawei could have helped secretly build a 3G wireless network for North Korea, according to internal documents leaked by a former employee of the company. From a report: Huawei worked with another Chinese company, Panda International Information Technology, on a number of projects in the region over the course of eight years, as suggested by work orders, contracts and spreadsheets published by the Washington Post on Monday. The revelations come as the latest blow to Huawei's reputation in a series of events over the past year, a period in which the company has come under fire from the US government amid its trade war with China. In January, the US Justice Department unsealed indictments that included 23 counts pertaining to the alleged theft of intellectual property, obstruction of justice and fraud related to its alleged evasion of US sanctions against Iran. President Donald Trump has blacklisted the company as a security threat, and Huawei CFO Meng Wanzhou is under house arrest in Canada awaiting extradition to the US.

Read more of this story at Slashdot.

Printer troubleshoot - USA only

Freelancer.com - Mon, 07/22/2019 - 12:56
My several printers apparently are sending code somewhere. I am concerned about this. I own the hardware, I have bought it. It is mine. I am looking for someone to crack the code installed on my hardware... (Budget: $15 - $25 USD, Jobs: Linux, PHP, Printer Repair, Software Testing, Troubleshooting)
Categories: Freelance, Linux

tsmdc online sand booking

Freelancer.com - Mon, 07/22/2019 - 12:29
I need you to develop some software for me. I would like this software to be developed for Linux using Javascript. (Budget: ₹1500 - ₹12500 INR, Jobs: Javascript, Linux, Software Architecture)
Categories: Freelance, Linux

A Clue To the Reason for Women's Pervasive Car-Safety Problem

Slashdot.org - Mon, 07/22/2019 - 12:22
Women are far more likely to suffer serious injuries in a car crash. From a report: The danger divide was first quantified in a 2011 study out of the University of Virginia, which found that for men and women who wore seatbelts, women were nearly 50 percent more likely to be seriously or fatally injured in a crash. And now it's been confirmed by another paper from another University of Virginia research team, published this month, which found that the odds of serious injury or death for female car-crash victims is 73 percent higher than for males. The latest study, which analyzed crashes involving more than 31,000 individuals between 1998 and 2015, reveals some good news, too: All riders are now more than half as likely to sustain serious injuries in newer models (those manufactured in 2009 and later) than in older cars. [...] It's partly because of this lack of information -- and lack of dedicated research into the question -- that the same safety science that's been making cars less dangerous for all riders hasn't been able to shrink the gap between male and female auto safety. "Historically, we have used male-type crash test dummies," said Becky Mueller, a senior research engineer at the Insurance Institute for Highway Safety (IIHS). "Those dummies, despite being an average male, have done a good job at providing improvements for all different kinds of people." Since the early 2000s, "female" crash test dummies have been deployed, but they tend to simulate smaller women, says Forman, with heights of 5 feet and weights of 110 pounds. "There is some logic behind the use of those: It is necessary to evaluate and protect for the extreme ends of the population," he said. It's also a big limitation of the model.

Read more of this story at Slashdot.

Create a blank application shell using electron-builder that accomplishes the following

Freelancer.com - Mon, 07/22/2019 - 12:10
Fully scripted multi-platform builds in a containerized environment. option to embed some files from the host machine (branding assets, config files that may not be in git). options to build from git and from source on the host machine... (Budget: $25 - $50 USD, Jobs: Linux, Mac OS, React.js, Software Architecture, Typescript)
Categories: Freelance, Linux

Design the ideal ad experience with native ads from Google AdMobDesign the ideal ad experience with native ads from Google AdMob

GoogleBlog - Mon, 07/22/2019 - 12:00

Native is the newest ad format supported by Google AdMob. It offers the most flexible design and placement to help developers create the ideal ad experience for your app users. Today native ads have come out of beta and are now available for all developers. 

As the name suggests, native ads allow you to design an ad experience that feels like a natural part of your app. You can customize the look and feel of native ads the way you’d design your app content.

Publishers who have implemented native ads during the beta phase have seen great results. For example, Cleveni, a South Korea-based mobile app publisher specializing in utility apps, saw 4 times revenue growth with native ads. 

With careful design, implementation and testing, native ads can feel like a natural part of the app experience. This seamless integration can lead to revenue growth by means of increased ad density and better user retention while also clearly noting that it’s a promotional unit.

Native ads allow unlimited flexibility—you can design any ad layout imaginable as long as it meets the AdMob native ads policies. We highly encourage you to explore the design freedom with this ad format and use A/B tests with different creatives to maximize engagement and revenue. 

Getting started

There are two ways to get started with native ads in AdMob: 

  1. For a quick and easy start, use the native ads templates (Android, iOS). Simply use the code as-is, or modify it to better match the look and feel of your app. 
  2. For more advanced users,  you can go straight to the native ads advanced section (Android, iOS). This option allows you to create native ads from scratch.

With the flexibility of native ads also comes many questions you need to think through. For example, what should my ad look like? How similar should it look to actual app content? Where should I place it? The AdMob native ads playbook provides best practices and examples to help you design and implement a successful native ads strategy. 

As with all advertising experiences, there are some important policies and guidelines put in place to help ensure a good experience for users. Please be sure to read through the AdMob native ads policy compliance checklist, and pay close attention to the restrictions around ad size and the usage of MediaView.

We hope native ads can help you unlock more revenue growth for your app and will continue to improve this new ad format. 

Native is the newest ad format supported by Google AdMob. This ad format is now available for all developers.
Categories: Technology

Slack's Desktop App Now Launches 33% Faster, Uses 50% Less Memory

Slashdot.org - Mon, 07/22/2019 - 11:43
Slack today announced it's deploying an under-the-hood upgrade for its desktop app to boost performance for companies and teams using the app for workplace collaboration. From a report: The latest version of Slack for desktop and internet browsers is due out in the coming weeks and promises a 33% faster launch time, 10 times faster launch of VoIP calls, and roughly 50% less memory usage. The news comes a month after Slack became a public company, listed as WORK on the New York Stock Exchange. Slack product architect and lead of desktop client rewrite Johnny Rodgers said the upgrade takes advantage of changes to Slack's underlying technology, like modern JavaScript tools and techniques and the React UI framework.

Read more of this story at Slashdot.

System admin and datacenter setup

Freelancer.com - Mon, 07/22/2019 - 11:39
hi, i am looking for system admin who can provide following support 1- Consultation about rack setup in data center 2- Server Virtualization 3- advice about buying computer/network equipments. can provide support to my service providers through phone and email... (Budget: $15 - $25 USD, Jobs: Datacenter Sales, HTML, Linux, Software Architecture, System Admin)
Categories: Freelance, Linux

Google Maps 101: how we map the worldGoogle Maps 101: how we map the world

GoogleBlog - Mon, 07/22/2019 - 11:30

The world is a beautiful, messy, constantly changing place—roads are added, buildings are built, and new businesses are opened all the time. Our role on the Google Maps team is to accurately model and reflect this ever-evolving world, and we’re often asked how we make a map that does that. The answer is, it takes a number of different steps, and the right mix of people, techniques and technology.

In a series of posts over the coming months, we’ll give you a closer look at how we build our map—diving deep into each of the elements we use to help more than one billion people navigate, explore and get things done. Today, we’ll start with an overview of the basics.

It all starts with imagery 

Street View and satellite imagery have long been an important part of how we’re able to identify where places are in the world—it shows us where roadways, buildings, addresses and businesses are located in a region, in addition to other important details—such as the town’s speed limits or business names. In 2007, Street View launched to help people virtually explore the entire world, from the depths of Antarctica to the top of Mount Kilimanjaro. In the 12 years since then, our Street View car and trekker operations have collected more than 170 billion images from 87 countries. Thanks to our newest trekker that is equipped with higher-resolution sensors and increased aperture, we’ve significantly improved the quality of imagery we capture. 

A Street View trekker

Then you add data

Authoritative data brings the map to life. Our data comes from more than 1,000 third-party sources from all over the world. Some, like the United States Geological Survey (USGS) and the National Institute of Statistics and Geography (INEGI) in Mexico, provide information about an entire country. Others are specific to smaller regions, like data from a local municipality, an NGO or a housing developer. Our teams carefully vet every authoritative data source to ensure that we have the most accurate and up-to-date data available. And recently, we introduced a new tool to make it easier for local governments to upload dataabout new roads and addresses in their area, right to Google Maps. 

Road outlines from one of our data partners, the National Institute of Statistics and Geography.

A human touch 

Data and imagery are key components of mapmaking, but they’re static and can’t always keep up with the pace of how quickly the world changes. This brings us to the third piece: the people that help us tie everything together. We have a data operations team staffed all over the world that plays a role in just about every aspect of mapmaking, from gathering Street View images and vetting authoritative data sources to correcting the map for inaccuracies and training machine learning models (more on that in a second). 

We also have our community of Local Guides and Google Maps users, whom we empower to correct the map via the Send Feedback button in Google Maps. Our team reviews the information and publishes it if we have a high degree of confidence that it matches the roads, businesses and addresses in the real world.

Our data operations team at work

Speeding things up with machine learning 

Imagery, authoritative data and human input have gotten us to where we are, but we want to make our maps more useful to more people even faster. To increase the speed of our mapping, we turn to machine learning. Machine learning allows our team to automate our mapping processes, while maintaining high levels of accuracy. 

Let’s look at how we map building outlines as an example. Previously, an algorithm that tried to guess whether part of an image was a building or not resulted in what we dubbed “fuzzy buildings”—amorphous blobs that didn’t look like real buildings when you draw them on a map. And this was an issue—buildings are more than just buildings—they’re landmarks and a key part of how someone knows where they are when looking at a map. To fix this, we worked with our data operations team to trace common building outlines manually, and then used this information to teach our machine learning algorithms which images correspond with building edges and shapes. This technique proved effective, enabling us to map as many buildings in one year as we mapped in the previous 10. 

Fuzzy building outlines on Google Maps.

Clear building polygons outlined on the map.

We’re in it for the long haul 

Maps are critical to helping communities thrive. They connect people with each other, help grow economies as people discover new businesses and restaurants, and help people get things done. Although we’ve come a long way, with maps in more than 220 countries and territories to date, we know that our work is far from over. Different regions have different needs, and their own mapping challenges. In our next post, we’ll take a closer look at how one component—imagery—helps us overcome these challenges.

A closer look at how we build Google Maps.
Categories: Technology

Hackers Exploit Jira, Exim Linux Servers to "Keep the Internet Safe' - BleepingComputer

Linux News - Mon, 07/22/2019 - 11:08
Hackers Exploit Jira, Exim Linux Servers to "Keep the Internet Safe'  BleepingComputer

Hackers are exploiting vulnerable Jira and Exim servers with the end goal of infecting them with a new Watchbog Linux Trojan variant and using the resulting ...

Categories: Linux

Company of Heroes 2 for macOS and Linux: Commanders update out now - Gamasutra

Linux News - Mon, 07/22/2019 - 11:01
Company of Heroes 2 for macOS and Linux: Commanders update out now  Gamasutra

DATE: Monday, July22nd, 2019CONTACT: Mary Musgravemmusgrave@feralinteractive.comFeral Interactive today announced that Company of Heroestrade; 2, ...

Categories: Linux

Dropbox Brings Back Support For ZFS, XFS, Btrfs And eCryptFS On Linux

Slashdot.org - Mon, 07/22/2019 - 11:01
Speaking of Dropbox, the online storage cloud service has enabled support for ZFS and XFS on 64-bit Linux systems, and eCryptFS and Btrfs on all Linux systems. The move comes after it recently pulled support for all file storage systems on Linux except Ext4. From a report: Dropbox stopped supporting folder syncing to drives with filesystems it deemed "uncommon", which on Linux meant anything but Ext4, upsetting quite a few users. The reason cited for this was that "a supported file system is required as Dropbox relies on extended attributes (X-attrs) to identify files in the Dropbox folder and keep them in sync", which doesn't really make sense since there are many filesystems that support xattr (extended attributes) on Linux. After this change was announced, various workarounds started to appear online, including one that I posted on Linux Uprising. There was even a new unofficial, open source Dropbox client developed for this reason (which is also much lighter than the official client by the way). But this didn't last long though, as last week, the Dropbox 77.3.127 beta changelog says that Dropbox has added back support for ZFS (on 64-bit systems only), XFS (on 64bit systems only), Btrfs and eCryptFS.

Read more of this story at Slashdot.

Here's why Windows 10 users are switching to other platforms - Windows Report

Linux News - Mon, 07/22/2019 - 10:51
Here's why Windows 10 users are switching to other platforms  Windows Report

A recent video dicusses various reason that why Windows 10 users should switch to linux. However, it seems like people are not yet ready to switch to anotehr ...

Categories: Linux

Fortinet 101E to Cisco 881 ipsec tunnel and policy setup for communication of Avaya and RDP

Freelancer.com - Mon, 07/22/2019 - 10:24
Fortinet 101E to Cisco 881 ipsec tunnel and policy setup for communication of Avaya and RDP (Budget: $10 - $30 USD, Jobs: Cisco, Computer Security, Linux, Network Administration, System Admin)
Categories: Freelance, Linux

Syndicate content