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Articles related to "platform"


Hundreds of workers defy Amazon rules to protest company's climate failures

  • Hundreds of Amazon employees defied corporate policy to publicly criticize the company for failing to meet its “moral responsibility” in the climate crisis.
  • More than 340 tech workers at Amazon used the hashtag #AMZNSpeakOut in public statements that condemn the company for not taking sufficient action on the climate crisis.
  • The action comes in direct opposition to an Amazon policy barring employees from speaking about the company’s business without prior approval from management.
  • An Amazon spokeswoman said the company was aware of the employee actions.
  • In January, at least three employees said they were threatened with termination for speaking publicly about environmental issues, stoking further protests against the new policy.
  • On the job platform LinkedIn on Monday, someone listing himself as a hiring manager at Google left a post that appeared to attempt to recruit defectors from Amazon to the company.

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Cisco Simplifies On-Prem Kubernetes for Its HyperFlex HCI Customers

  • Cisco has also built new visual maps into its AppDynamics application performance monitoring tool and into Intersight Workload Optimizer, its tool for managing IT and cloud infrastructure.
  • An increasing number of enterprises want to deploy containers across hybrid and multi-cloud environments, and Cisco’s announcement in Barcelona gives it a competitive offering against the likes of Amazon Web Services, Google Cloud Platform, Microsoft Azure, Hewlett Packard Enterprise, and others, said Bob Laliberte, senior analyst at Enterprise Strategy Group.
  • For the first time, AppDynamics and Cisco Intersight Workload Optimizer will exchange and correlate the same data, which eliminates silos and allows application and IT infrastructure teams to collaborate and optimize performance, Das, the Cisco product exec, said.
  • In doing so, it provides details on user experience, application performance, and business performance and gives application teams color-coded alerts to describe problems, such as slow performance on a specific part of the app, said Whitney Satin, Cisco’s AppDynamics product marketing manager.

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Top 5 best mobile frameworks for 2020

  • Flutter is Google’s UI toolkit for building beautiful, natively compiled applications formobile, web, and desktopfrom a single codebase.
  • Ionic Framework is the free, open-source mobile UI toolkit for developing high-quality cross-platform apps for native iOS, Android, and the web - all from a single codebase.
  • Ionic Studio is a powerful, locally-installed, visual development environment that makes it easy to build stunning apps in minutes.
  • Building applications for each platform–iPhone, Android, Windows and more–requires different frameworks and languages.
  • Xamarin is a .NET developer platform made up of tools, programming languages, and libraries for building many different types of applications.
  • Xamarin supplies add-ins to Microsoft Visual Studio that allows developers to build Android, iOS, and Windows apps within the IDE using code completion and IntelliSense.
  • Mobile app development frameworks are basically driving tools to build mobile apps.

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ManoMano raises $139 million for its home improvement e-commerce platform

  • French startup ManoMano is raising another mega round of funding.
  • This time, ManoMano is raising $139 million (€125 million) with Temasek leading the round.
  • The company announced another significant funding round back in April 2019.
  • At the time, ManoMano raised $125 million (€110 million).
  • Overall, ManoMano has raised $344 million (€310 million) over the past six years.
  • While the company is still mostly active in France, its other markets (Spain, Italy, Germany and the U.K.) now represent a third of sales figures.
  • At any time, you can start a conversation with Manodvisors.
  • Third, ManoMano wants to expand beyond hobbyists with ManoMano Pro. While this service is just getting started, it already represents 10% of the company’s sales in France.
  • With today’s funding round, the company plans to recruit 200 people in Barcelona and Bordeaux.

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Insider Info Details Just How Lucrative Streaming Deals Can Be

  • Ninja was the first to recognize that the tech world's most prominent players were willing to lay down serious money to claw market share away from the historically dominant Twitch.
  • Popular streamer Tyler ‘Ninja’ Blevins’ landmark deal with Microsoft to carry his streaming operations from Twitch to Mixer bagged him somewhere between $20 and $30 million.
  • In an article piece published by CNN Business today, Justin Warden, head of Ader, an agency with links to Ninja, revealed a couple of things.
  • Since Ninja pulled the trigger late last summer, instances of top streamers jumping the Twitch ship for rival platformers have become legion.
  • Ninja was the first to recognize that the tech world’s most prominent players were willing to lay down serious money to claw market share away from the historically dominant Twitch.
  • The Ader CEO revealed that streamers could expect to make some serious bank with these deals.

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Google App Maker Shutting Down

  • If you use App Maker to automate complex business processes: Use AppSheet, a new addition to our application development portfolio that is a no-code tool with capabilities similar to App Maker.
  • App Maker data is stored in Cloud SQL, and App Sheet supports Cloud SQL databases, allowing you to build an application on the existing database tied to your App Maker app.
  • If you use App Maker to develop apps: Use App Engine to build and deploy Google Cloud Platform (GCP) apps on a fully managed platform.
  • App Maker data is stored in Cloud SQL, allowing you to build an App Engine app on the existing Cloud SQL databases tied to your App Maker apps.
  • If you use App Maker for data collection: Use Google Forms, which has many new features that weren't available when App Maker launched.

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YouTube is using massive e-sports leagues to take on Twitch in big live-streaming bet

  • Amazon’s Twitch, Microsoft’s Mixer, and Google’s YouTube are all in the middle of individual creator wars, placing million-dollar bets on the biggest gaming streamers in the space.
  • Each streamer brings in thousands of live viewers whenever they stream but also boasts millions of views from highlight compilations that are uploaded as VODs to YouTube.
  • StreamElements CEO Doron Nir noted in a statement to The Verge that “e-sports events are often responsible for the biggest audiences with the two most watched channels on Twitch in 2019 being Riot Games and Overwatch League.” All three of the major platforms saw increases in the amount of time people sent watching live streams, with YouTube growing from 293 million viewers in Q4 of 2018 to 334 million in Q4 of 2019.
  • It’s unclear if YouTube will take over exclusive drops or whether the company will use the league broadcasts to promote Google’s cloud-based gaming service, Stadia.

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How to do a sentiment analysis in realtime using the Jupyter notebook, Kafka and NLTK

  • In this article, we will discuss how we can use the Jupyter notebook to do sentiment analysis on data coming from a Kafka cluster.
  • In this first step we need to run docker compose to create our kafka cluster.
  • This will run a bunch of docker containers that will create various elements of the cluster like zookeeper, brokers, topics, ksql.
  • Now very briefly, kafka is a distributed streaming platform capable of handling a large number of messages, that are organised into topics.
  • Running docker-compose up in the root of the project will create the cluster.
  • When you are finished working on the cluster you can stop all the containers by running docker-compose down.
  • Similar to our JSON message the table will have just one field called data and the type is varchar which is suitable for our string sentences.

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After Kubernetes’ Victory, Its Former Rivals Change Tack

  • Not even two years later, the market that Docker Inc. catalyzed had become known informally as “the Kubernetes ecosystem.” There were three competitors in the workload orchestration space: Kubernetes, which emerged from an internal Google project previously dubbed “Borg;” Docker Swarm, the cluster manager that had begun shipping with the commercial Docker Enterprise product; and Apache Mesos, which had the virtue of scheduling and managing server clusters for so-called “non-imaged workloads,” such as the Hadoop and Spark big data systems.
  • It adopted the orchestrator as a workload deployment platform for Azure, and even hired co-creator Brendan Burns and other prominent members of the Kubernetes community without the usually defensive Google raising the slightest fuss.
  • It continues to produce what it still sometimes calls “Mesosphere DC/OS.” Yet Marathon’s place in its product line is now occupied by Ksphere, a suite of components for managing and distributing containerized workloads that now includes what’s still called Mesosphere Kubernetes Engine (MKE).

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How to do a sentiment analysis in realtime using the Jupyter notebook, Kafka and NLTK

  • In this article, we will discuss how we can use the Jupyter notebook to do sentiment analysis on data coming from a Kafka cluster.
  • In this first step we need to run docker compose to create our kafka cluster.
  • This will run a bunch of docker containers that will create various elements of the cluster like zookeeper, brokers, topics, ksql.
  • Now very briefly, kafka is a distributed streaming platform capable of handling a large number of messages, that are organised into topics.
  • Running docker-compose up in the root of the project will create the cluster.
  • When you are finished working on the cluster you can stop all the containers by running docker-compose down.
  • Similar to our JSON message the table will have just one field called data and the type is varchar which is suitable for our string sentences.

save | comments | report | share on