Amazon integriert Besonderheiten der Airpods Pro in die Echo Buds 2 – das reicht aber für tolle Bluetooth-Hörstöpsel nicht aus. Ein Test von Ingo Pakalski (Bluetooth-Hörstöpsel, Amazon)
Quelle: Golem
Das über sechs Jahre alte Fairphone 2 bekommt ein Upgrade auf Android 10 – und wird damit seit sieben Jahren mit Software unterstützt. (Fairphone, Smartphone)
Quelle: Golem
In case you missed it, we’ve been rolling out a new set of powerful site design tools called Full Site Editing (or “FSE”) and it’s now available for all WordPress.com users!
Don’t worry if you’re just hearing about Full Site Editing for the first time. We’ve been releasing these new tools in a way that doesn’t actually require you to do anything with your existing site(s). If you are up for a change though, we’re happy to announce the launch of a brand new family of themes made specifically with Full Site Editing features in mind. As of this writing we have over two dozen themes available that support Full Site Editing.
Marl →
Hari →
Alonso →
Stewart →
Winkel →
Videomaker →
Barnett →
Livro →
Farrow →
Bennett →
Kingsley →
Dorna →
Byrne →
Geologist →
Arbutus →
Twenty Twenty-Two →
Payton →
Baxter →
Jackson →
Ames →
Attar →
Russell →
Calvin →
Baker →
Quadrat →
Skivers →
Zoologist →
These new themes have been designed with a wide variety of sites cases in mind. But their potential stretches well beyond their screenshots and demo sites. Because each theme is fully editable in the Site Editor, every one of these themes can be heavily customized to fit your site’s needs. You can start with theme that features single minimalist homepage, and then add as many menus and sidebars as you wish. Or, you can start with a complex business theme and strip it down to something minimal to suit your vision.
The Site Editor also includes a new feature called “Global Styles,” which allows you to edit site-wide settings for color, typography, and more. You’re free to change your theme’s default color scheme to whatever fits your mood, or even make all site text larger or smaller in a couple of clicks. To kick off this new feature, we’re also providing a few pre-built variations on some of these new themes.
All the new themes and variations can be found in the Theme Showcase. Or, if you’re starting a fresh site, they’ll be offered to you automatically in the site creation flow. This collection of themes is just the beginning, and we’re excited to continue launching a variety of diverse theme options for you. What would you like to see in the next set of themes on WordPress.com?
Quelle: RedHat Stack
Editor’s note: In Today’s guest post we hear from beauty leader L’Oréal about their approach to building a modern data platform on fully managed services: managing the ingest of diverse datasets into BigQuery with Cloud Run, and orchestrating transformations into relevant business domain representations for stakeholders across the organization. Learn more about how businesses have benefited from Cloud Run in Forrester’s report on Total Economic Impact.L’Oréal was born out of science. For over 100 years, we have always shaped the future of beauty, and taken its eternal quest to new horizons. This has earned us our current position as the world’s uncontested beauty leader (~€ 32 B annual sales in 2021), present in 150 countries with over 85,000 employees. Today, with the power of our game-changing science, multiplied by cutting-edge technologies, we continue our lifelong journey of shaping the future of beauty. As a Beauty Tech company, we leverage our decades-long heritage of rich data assets to empower our decision-making with instant, sophisticated analysis. Because we oversee global brands, which must adapt to local requirements, we need to maintain a deep understanding of what a brands’ data represents, while managing disparate legal and regulatory requirements for different countries. Our end goal is to run a safe, compliant and sustainable data warehouse as efficiently and effectively as possible. We sync and aggregate internal and external data from a wide variety of sources across organizations and retail stores. This made the management of our data warehouse infrastructure used to be very complex and hard to manage before Google Cloud. L’Oréal’s footprint was so large that we once found it impossible to have a standardized method to handle data. Every process was vendor-specific, and the infrastructure was brittle. We went looking for a solution to our complex data infrastructure needs, and defined the following non-negotiable principles: No Ops: The job of a developer at L’Oréal is not to manage servers. We need an elastic infrastructure that scales on demand, so that our developers can focus on delivering customized and inclusive beauty experiences to all consumers, rather than focusing on managing servers. Secure: We have strict security and compliance requirements which vary by country, and we employ a zero-trust security strategy. We must keep both our own internal data and customer data safe and encrypted. Sustainable : Our data lives in multiple environments, including on-prem data centers and public cloud services. We must be able to securely access and analyze this data while minimizing the complexity and environmental impact of moving and duplicating data. End-to-end supervision: Because developers shouldn’t be managing servers, we need a “single pane of glass” dashboard to monitor and triage the system if something goes wrong. Easy-to-deploy: Deploying code safely should not compromise velocity. We are constantly developing innovations that push the boundaries of science and reinvent beauty rituals. We need integrated tools to make our code deployment process seamless and safe. Event-driven architecture: Our data is used globally by research, product, business and engineering teams with high expectations on data quality and timeliness. Many of our internal processes and analysis are based on near real-time data. Data products delivered “as a service”: We want to empower our employees to drive business value at record speed. To that end, we need solutions that enable us to remove the developers from the critical path of solution delivery as much as possible. Extract-load-transform (ELT): Our goal is to implement the pattern to load data as soon as possible into the data warehouse to take advantage of SQL transformations. After considering multiple vendors on the market, with these principles in mind, we landed on end-to-end Google Cloud serverless and data tooling. We were already using Google Cloud for a few processes, including BigQuery, and loved the experience. We’ve now expanded our use of Google Cloud to fully support the L’Oréal Beauty Tech Data Platform.L’Oréal’s Beauty Tech Data Platform incorporates data from two types of sources: directly via API, which is data that adapts easily to our schema and is inserted directly into BigQuery, and bulk data from integrations, which require event-driven transformations using Eventarc mechanisms. These transformations are performed in Cloud Run and Cloud Functions (2nd gen), or directly in SQL. With Google Cloud, we can adapt very quickly. Today, we currently have 8500 flows for ~5000 users using the native zero-trust capabilities offered by Google Cloud. Indeed, the flows come from Google Cloud and other third-party services. BigQuery enabled us to adopt standard SQL as our universal language in our data warehouse and meet all expectations for queries and reporting. We were also able to load original data using features like federated queries, and efficiently transitioned from ETL to ELT data ingestion by handling semi-structured data with SQL. This approach of loading original data from sources into BigQuery with non-destructive transformations allows us to reprocess data for new use-cases easily, directly within BigQuery. Our applications are hosted on multiple environments – on-premises, in Google Cloud, and in other public clouds. This made it difficult for our data engineers and analysts to natively analyze data across clouds until we started usingBigQuery Omni. This capability of BigQuery allowed us to globally access and analyze data across clouds through a single pane of glass using the native BigQuery user interface itself. Without BigQuery Omni, it would’ve been impossible for our teams to natively do cross-cloud analytics. Moreover, it eliminated the need for us to move sensitive data, which is not only expensive because of local tax and subsea transport, but also incredibly risky – sometimes even forbidden – because of local regulations. Today Google Cloud powers our Beauty Tech Data Platform, which stores 100TB of production data in BigQuery and processes 20TB of data each month. We have more than 8000 governed datasets, and 2 millions of BigQuery tables coming from multiple data sources such as Salesforce, SAP, Microsoft, and Google Ads. For more complex transformations where custom and specific libraries are required,Cloud Workflows help us to manage the complexity very efficiently by orchestrating steps in containers through Cloud Run, Cloud Functions and even BigQuery jobs — the most used way to transform and add value to the L’Oréal data. Additionally, by using BigQuery and Google Cloud’s serverless compute for API ingestion, bulk data loading, and post-loading transformations, we can keep the entire system in a single boundary of trust at a fraction of the cost. With ingest, queries, and transformations all being fully elastic and on-demand, we no longer have to perform capacity planning for either the compute or analytics components of the system. And of course these services’ pay-as-you-go model perfectly aligns with L’Oréal’s strategy of only paying for something when you use it. Google Cloud fulfilled the requirements of our Beauty Tech Data Platform. And as if offering us a no-ops, secure, easy-to-deploy, custom-development free, event-based platform with end-to-end supervision wasn’t enough, Google Cloud also helped us with our sustainability efforts. Being able to measure and understand the environmental footprint of our public cloud usage is also a key part of our sustainable tech roadmap. With Google Cloud Carbon Footprint, we can easily see the impact of our sustainable infrastructure approach and architecture principles. Our Beauty Tech platform is a strategic ambition for L’Oréal: inventing the beauty products of the future while becoming the company of the future. Sustainable tech is an imperative and a very important step towards this ambition of creating responsible beauty for our consumers, and sustainable-by-design tech services for our employees. We all have a role to play, and by joining forces, we can have a positive impact. Google Cloud’s data ecosystem and serverless tools are highly complementary, and made it possible to build a next-generation data analytics platform that met all our needs. Get started using serverless and BigQuery together on Google Cloud today.Related ArticleShowing the speed of serverless through hackathon solutionsGoogle Cloud Easy as Pie Hackathon, the results are in.Read Article
Quelle: Google Cloud Platform
Imagine getting more from your VMware workloads by easily extending them to the cloud—and optimizing your costs in the process. Azure VMware Solution, a jointly engineered Microsoft and VMware service, makes this possible.
Azure VMware Solution lets you run your VMware infrastructure natively on Azure. Migrating your on-premises VMware investments and skills to Azure allows you to:
Quickly scale, automate, and modernize your VMware workloads.
Continue using your favorite VMware tools in the cloud, including VMware vSphere, vSAN, and vCenter.
Improve your disaster recovery, business resiliency, and VMware application performance.
Take advantage of Azure management, security, and compliance services.
Respond more quickly to the needs of your customers.
Reduce your IT infrastructure spending.
To show you how simple transitioning to Azure VMware Solution is and highlight the product’s capabilities, Microsoft and VMware are hosting an Azure VMware Solution digital event on Wednesday, March 23, 2022, from 9:00 AM to 11:30 AM Pacific Time.
Register now for this free event to:
1. Get product insights directly from customers
Find out how organizations significantly enhanced their VMware infrastructure with Azure VMware Solution in these customer interviews during the event keynote:
Learn how the University of Miami—which houses one of the nation’s leading oceanographic institutes and operates in a region known for hurricanes—strengthened its disaster recovery strategy and increased its IT flexibility while reducing costs.
Hear how Carhartt, the global premium workwear brand, increased its workload reliability and delivered easy-to-manage, secure digital workspaces to its employees.
2. See Azure VMware Solution in action
Watch demos of how to migrate your on-premises VMware workloads to the cloud and how to optimize, scale, and automate them there.
3. Take a technical deep dive into the product
Join breakout sessions and instructor-led workshops on topics including:
Learning your way around the Azure VMware Solution architecture.
Understanding the enterprise-scale landing zone considerations.
Deploying and connecting to a private cloud with Azure VMware Solution.
Protecting your data and managing disaster recovery using Azure VMware Solution with VMware Site Recovery Manager.
Simplifying your workload migration to Azure with VMware HCX.
4. Learn about product updates, best practices, and cost-saving programs
Hear from Microsoft and VMware leaders including:
Kathleen Mitford, CVP, Azure Marketing, Microsoft.
Eric Lockard, CVP, Azure Dedicated, Microsoft.
Sumit Dhawan, President, VMware.
Mark Lohmeyer, SVP and GM, Cloud Infrastructure Business Group, VMware.
5. Get answers to your technical questions
Ask the product experts your questions about migrating and operating your VMware infrastructure natively on Azure in the live chat Q and A.
Join us on March 23, 2022, to get to know Azure VMware Solution better, hear advice and insights from customers, engage with product insiders, and explore how to quickly and cost-effectively move your VMware investments to the cloud.
Check out the keynotes and event sessions
Beginning at 9:00 AM Pacific Time:
Keynote featuring Microsoft and VMware leadership and customers.
Join Kathleen Mitford (CVP, Microsoft Azure) and Sumit Dhawan (President, VMware) in conversation with Azure VMware Solution customers.
Special guest speakers from:
University of Miami
Carhartt
Product Update and Real-World Demo
Get insider info from Sue Hartford (Director of Product Marketing, Microsoft Azure), Eric Lockard (CVP, Microsoft Azure), and Mark Lohmeyer (SVP and GM, VMware) and see Azure VMware Solution in action
Beginning at 10:25 AM Pacific Time:
Azure VMware Solution
Session by Ram Gowrishankar (Partner Group Program Manager, Microsoft)
Simple deployment
Session by Trevor Davis (Senior Technical Specialist, Microsoft) and Emad Younis (Director, Multi-Cloud Center of Excellence, VMware)
Disaster recovery with Azure VMware Solution
Session by Saravanan Manickam (Program Manager, Microsoft)
AVS: Offers to accelerate Azure migration and modernization
Session by Vinoo Srinivas Murali (Director of Business Strategy, Microsoft)
Automating onboarding of Azure VMware Solution
Session by Prasad Gandham (Principal Program Manager, Microsoft) and Sapna Jeswani (Principal Program Manager, Microsoft)
Hands-On Workshop: Azure VMware Solution private cloud deployment and connectivity
Hands-On Workshop: Disaster protection with Azure VMware Solution and VMware Site Recovery Manager
Hands-On Workshop: Azure VMware Solution workload migration with VMware HCX
Microsoft Learn Live: Prepare to migrate VMware workloads to Azure by deploying Azure VMware Solution
Microsoft Learn Live: Deploy disaster recovery using VMware Site Recovery Manager and Azure VMware Solution
Tutorials with Microsoft Senior Cloud Advocates Amy Colyer and Pierre Roman
We hope to see you there!
Extend to the Cloud with Azure VMware Solution
Wednesday, March 23, 2022
9:00 AM to 11:30 AM Pacific Time
Delivered in partnership with VMware.
Quelle: Azure
Leading hardware engineering at a company known for its vast portfolio of software applications and systems is not as strange as it sounds, as the Microsoft Cloud depends on hardware as the foundation of trust, reliability, capacity, and performance, to make it possible for Microsoft and our customers to achieve more. The underlying infrastructure that powers our 60 plus datacenter regions across 140 countries consists of hardware and systems that sit within the physical buildings of datacenters—enabling millions of customers to execute critical and advanced workloads, such as AI and quantum computing, as well as unleashing future innovations.
Datacenter hardware development is imperative to the evolution of the Microsoft Cloud
As the Microsoft Cloud offers services and products to meet the world’s ever-growing computing demands, it is critical that we continuously design and advance hardware systems and infrastructure to deliver greater performance, higher efficiency, and more resiliency to customers—all with security and sustainability in mind. Today, our hardware engineering efforts and investments focus heavily on roadmap and lifecycle planning, sourcing and provisioning of servers, and innovating to deliver next-generation infrastructure for datacenters. In our new Hardware Innovation blog series, I’ll be sharing some of the hardware development and investments that are driving the most impact for the Microsoft Cloud and making Azure the trusted cloud that delivers innovative, reliable, and sustainable hybrid cloud solutions. But first, let’s look “under the hood” of a Microsoft datacenter:
From server to cloud: the end-to-end cloud hardware lifecycle
Our hardware planning starts with what customers want: capacity, differentiated services, cost-savings, and ultimately the ability to solve harder problems with the help of the Microsoft Cloud. We integrate key considerations such as customer feedback, operational analysis, technology vetting, with evaluation of disruptive innovations into our strategy and roadmap planning, improvement of existing hardware in our datacenters for compute, network architecture, and storage, while future-proofing innovative workloads for scale. Our engineers then design, build, test, and integrate software and firmware into hardware fleets that meet a stringent set of quality, security, and compliance requirements before deploying them into Microsoft’s datacenters across the globe.
Sourcing and provisioning cloud hardware, sustainably and securely
With Microsoft’s scale, the ways in which we provision, deploy, and decommission hardware parts have the potential to drive massive planetary impact. While we work with suppliers to reimagine a more resilient and efficient supply chain using technologies such as blockchain and digital twins, we also aim to have sustainability built into every step of the way. An example of our sustainability leadership is the execution of Microsoft Circular Centers, where servers and hardware that are being decommissioned are repurposed—efforts that are expected to increase the reuse of servers and components by up to 90 percent by 2025. I will be sharing more on our Circular Centers progress this year. We also have in place the Azure Security and Resiliency Architecture (ASRA) as an approach to drive security and resiliency consistently and comprehensively across the Microsoft Cloud infrastructure supply chain.
Innovating to deliver next-generation datacenter infrastructure
We are investigating and developing technology that would allow datacenters to be more agile, efficient, and sustainable to operate while meeting the computing demands of the future. We showcased development in datacenter energy efficiency, such as our two-phase liquid immersion cooling, allowing more densely packed servers to fit in smaller spaces, and addressing processor overclocking for higher computing efficiency with a lower carbon footprint. We also continue to invest in and develop workload-optimized infrastructure—from servers, racks, systems, to datacenter designs—for more custom general-purpose offerings as well as specialized compute such as AI, high-performance computing, quantum, and beyond.
Building the most advanced and innovative hardware for the intelligent cloud and the intelligent edge
The journey of building Microsoft Cloud’s hardware infrastructure is an exciting and humbling one as we see continual advancement in technology to meet the needs of the moment. I have been in the hardware industry for more than thirty years—yet, I’m more excited each day as I work alongside leaders and experts on our team, with our partners across the industry, and with the open source community. Like many of the cloud services that sit on top of it, Microsoft’s hardware engine runs on consistency in quality, reliability, and scalability. Stay tuned as we continue to share more deep dives and updates of our cloud hardware development, progress, and results—and work to drive forward technology advancement, enable new capabilities, and push the limits of what we can achieve in the intelligent cloud and the intelligent edge.
Learn more
Learn more about Microsoft’s global infrastructure.
Take a virtual tour of Microsoft’s datacenters.
Discover career opportunities in Azure hardware with Microsoft.
Quelle: Azure
Die Telekom hat wieder an über 800 Mobilfunkstandorten 5G-Kapazität mit Spektrum Sharing aufgebaut. Vor Ort nachgemessen ist das nicht immer so überragend. (5G, Telekom)
Quelle: Golem
Auch ohne Strom für aktive Kühlung geht von den Brennstäben in Tschernobyl über Monate keine Gefahr aus, solange sich Wasser in den Becken befindet. (Tschernobyl, Internet)
Quelle: Golem
Wie sich Prozesse mit RPA (Robotic Process Automation) und Python effizienter gestalten lassen, zeigt das Onlineseminar der Golem Akademie auf. (Golem Akademie, Python)
Quelle: Golem
Die Telekom baut neue Router und Line Cards in ihre Vermittlungsstellen. Die Plattform heißt NGMA. (Telekom, Netzwerk)
Quelle: Golem
