Kymco hat den Elektroroller Like 125 EV mit einer Reichweite von bis zu 200 km vorgestellt. Die Akkus sind in kleinen Paketen entnehmbar. (Elektroroller, Elektromobilität)
Quelle: Golem
Der Whatsapp-Mitgründer Brian Acton wird den Chefposten bei Signal vorübergehend übernehmen, bis ein dauerhafter CEO gefunden ist. (Signal, Instant Messenger)
Quelle: Golem
Logitech hat mit der Signature M650 eine weitere Maus mit Bolt-Technik vorgestellt. Es gibt sie nicht nur für Linkshänder in zwei Größen. Ein Hands-on von Ingo Pakalski (Logitech, Maus)
Quelle: Golem
Red Hat Satellite now features the ability to export content to a disconnected Satellite server with full and incremental updates. Learn how to perform content updates to the disconnected Satellite server in this post:
Quelle: CloudForms
In this month’s customer success stories, we share how customers in Belgium, Norway and Slovenia have used Red Hat technologies to work better and faster as we enter the new year. Get the details:
Quelle: CloudForms
Stijn Stabel’s first days as CTO of Carrefour Belgium were… challenging. “The data center was out of date with a roof that leaked,” he recalls. Not quite what one would expect from the eighth-largest retailer in the world. Carrefour is a household name in Europe, Asia, and the Middle East, operating over 12,000 hypermarkets, groceries, and convenience stores in more than 30 countries. Carrefour Belgium has more than 10,000 employees operating 700 stores along with an eCommerce business. Nonetheless, Stabel’s ambitions were ambitious: “Our goal is to become a digital retail company,” he says. “We want to move quickly from being a slow mover in digital transformation to becoming trailblazing. That’s one of the coolest challenges you can have as a CTO.”Three years later, Carrefour Belgium is well along the path to achieving that goal, having migrated nearly all of its SAP application stack to Google Cloud, including finance, HR, and others. “We’re really going headfirst and full-on. It’s a huge challenge, but it’s definitely one of the most exciting transformations I have seen so far,” he says. The challenges that Carrefour Belgium faced were more than just an aging data center. With systems divided between two private clouds, there was no efficient way to leverage data for the advanced analytics Stabel knew the company would need to compete. “The world is changing at a record pace,” he says. “Either you’re keeping up with that or you’re not. Standing still means basically choosing to give up on the company’s progress — and at some point, to really give up on the company altogether.” This is especially true, he says, when it comes to creating a seamless customer experience both online and in stores. “Everything in the store will be digital,” he says. “How much longer are people going to put up with price tags printed on paper that have to be changed over and over? How long will it be acceptable to maintain a large ecological footprint? Sustainability will be increasingly important.”Olivier Luxon, Carrefour Belgium’s CIO, agrees, emphasizing the centrality of customer experience in everything the company does and how quickly customer needs shifted due to the global pandemic. “What we really saw with COVID was customers seeking more digital services. That had been a trend previously, but it accelerated dramatically with COVID.”The decision to move SAP to Google CloudAfter researching its options, Carrefour Belgium chose a “Google-first” cloud strategy for four reasons:Partnership: “Google listens to our needs and adapts to them instead of trying to box us in,” Stabel says. Technology: Google’s analytical and other tools, particularly BigQuery, were the deciding factor when it came to choosing a cloud provider for its SAP systems. “There’s no sound reason to move your SAP environment to a cloud host other than the one you’re going to use it for analytics,” he says, noting that the company will eventually bring all of its SAP data into BigQuery for analytics. “Our data team is working on building out a foundation based on BigQuery, which will enable them to work on multiple use cases such as assortment planning and promotion. The goal is to become a truly data-driven company.” Security: Carrefour Belgium is implementing BeyondCorp, the zero trust security solution from Google Cloud. By shifting access controls from the network perimeter to individual users, BeyondCorp enables secure work from virtually any location without the need for a traditional VPN. ”We’re going to be the first Carrefour division moving to that platform, so we’re very excited to be blazing the trail,” Stabel says.Value: “I have to report to a CFO, so partnership and technology alone are not enough to make a business case,” Stabel says. “I have to show demonstrable business value, and that’s what we get with Google Cloud.”Carrefour Belgium’s migration strategy has been to lift and shift its legacy SAP ERP Central Component (ECC) environment before doing a greenfield implementation of S/4HANA on Google Cloud, a process that is already underway. Currently, the HR module has been upgraded to S/4HANA, with retail operations to follow. More performance, better experience, greater insightsIt’s still early days, but the move to Google Cloud has already paid dividends in improved performance for back office operations, which, Olivier points out, frees time and resources to devote to serving customers better. Eventually, he feels that SAP on Google Cloud will have a direct impact on customer experience, particularly given the opportunities that data analytics will provide to better understand customer needs and meet them more effectively. “Data is becoming more and more important, not only for Carrefour, but for all the companies in the world,” Olivier says. “It drives personalized customer experience, promotions, operational efficiency, and finance. If you don’t set up the right data architecture on Day One, it will be close to impossible to be efficient as a company in a few years from now.”In the end, the goal is to provide Carrefour Belgium the tools it needs to serve customers better. “SAP supports our business by giving us the right tools and processes to manage areas including supply chain, finance, HR, and retail,” Olivier says. “What was missing, however, was the availability, scalability, and security we needed to better serve our employees, stores and customers, and that’s something we got by moving to Google Cloud.” And by moving to Google Cloud — which has been carbon neutral since 2007 and is committed to operating entirely carbon-free by 2030 — Carrefour is also able to pursue its sustainability objectives simply by modernizing its business operations in the cloud.“Google is a company that eats, breathes, and sleeps digital,” Stabel says. “At its heart, Carrefour is a retail company. We know how to be a retailer. Our partnership is a cross-pollination. What I’m really looking forward to is continuing to learn from Google Cloud and see what other solutions we can adopt to improve Carrefour Belgium and better serve our users & customers.”Learn more about Carrefour Belgium’s deployment and how you can accelerate your organization’s digital transformation by moving your SAP environment to Google Cloud.Related ArticleSupporting business transformation for German retailers with SAP on Google CloudLearn how we’re helping German retailers migrate SAP systems to Google Cloud to minimize risk and downtime and build a foundation for fut…Read Article
Quelle: Google Cloud Platform
JOIN@Home was an incredible celebration of the achievements that the Looker community made in the last year, and I was proud to be a part of it. Prominent leaders in the data world shared their successes, tips, and plans for the future. In the spirit of keeping the learning alive, I summarized the top two takeaways from each of the keynotes. They’re accompanied by illustrations that were captured live during the sessions by a local artist. Plus, there’s a fun surprise for you at the end. “Celebrating Data Heroes – Transforming Our World with Data”Our opening keynote featured a number of inspiring data professionals who use Looker in their work every day to see trends, drive decision making, and grow their customer base.Some of their main takeaways were:You can use analytics to make change for the greater good.Surgeon scientist Dr. Cherisse Berry spoke of cross-referencing healthcare outcomes data like trauma care survival rates, how long patients wait before being seen, and whether patients were appropriately triaged with demographic data to find gender and racial disparities in healthcare. For instance, she found that critically injured women receive trauma care less often than men. Because her analysis made the disparity known, informed decisions and actions can be taken to bring greater equality to New York state’s trauma care system. Provide templates to make insights more easily available to more users, especially non-technical ones.Michelle Yurovsky of UIPath, an automation platform that helps customers avoid repetitive tasks, shared one of the key ways UIPath gets customers engaged: by providing dashboard templates that answer common automation questions. Customers get useful insights the second they click on the product. They can copy and modify the templates according to their business needs, so they’re less intimidated to start working with analytics – especially if they have no previous experience building dashboards. *Source: Coursera internal data, November 2021.“Developing a Better Future with Data”This keynote looked to the future of analytics.Two major themes were:Composable analytics capabilities help make application development faster, easier and more accessible.Composable analytics means creating a custom analytics solution using readily available components. You have access to composable analytics with Looker through the extension framework, which offers downloadable components you can use to build your application right on top of the Looker platform. Filter and visualization components enable you to more easily create the visual side of these data experiences.Augmented analytics help make it easier to handle the scale and complexity of data in modern business – and to make smarter decisions about probable future outcomes.Augmented analytics generate sophisticated analyses, created by integrating machine learning (ML) and artificial intelligence (AI) with data. The Looker team has worked to make augmented analytics more accessible to everyone this year. In particular, new Blocks give you access to ML insights through the familiar Looker interface, enabling you to more quickly prototype ML- and AI-driven solutions. For instance, the Time-series Forecasting Block (which uses BigQuery ML) can be installed to give analysts deeper insights into future demand for better inventory and supply chain management. CCAI Insights gives call centers access to Contact Center AI Insights data with analysis they can use immediately. “The Looker Difference”Product Managers Ani Jain and Tej Toor highlighted many recent features you might find useful for activating and enabling users with Looker.Here are two moments that stood out:Giving your teams better starting points can lead to more engagement with analytics.Two improved ways to find insights from this year: Quick Starts and board improvements. Quick Starts function as pre-built Explore pages that your users can open with a click, helping to make ad hoc analysis more accessible and less intimidating. They’re also a convenient way to save an analysis you find yourself doing frequently – and they even save your filter settings. And, with new navigation improvements in Looker, boards are easier to find and use. Now you can pin links to a board, whether it’s a dashboard, a Look, an Explore, or something else, including external links. So go ahead. Try your hand at creating a useful data hub for your team with a new board.Natural language processing and Looker can help you make sense of relationships within data, quickly.A great example of this is the Healthcare NLP API Block, which creates an interactive user interface where healthcare providers, payers, pharma companies, and others in the healthcare industry can more easily access intelligent insights. Under the hood, this Block works on top of GCP Healthcare NLP API, an API offering pre-trained natural language models to extract medical concepts and relationships from medical text. The NLP API helps to structure the data, and the Looker Block can make the insights within that data more accessible.“Building and Monetizing Custom Data Experiences with Looker” Pedro Arellano, Product Director at Looker, and Jawad Laraqui, CEO of Boston-based consultancy Data Driven, chatted about embedded analytics and the remarkable speed one can build data applications with Looker and monetization strategies.Points you don’t want to miss from this one:Looker can help you augment an existing customer experience and create a new revenue stream with embedded data.For example, you can provide personalized insights to a customer engaged with your product, or automate business processes such as using data to trigger a service order workflow when an issue is encountered with a particular product. Embedding data in these ways can make the customer experience smoother all around. To take it a step further, you can monetize a data product you build to help create a new revenue stream.Building for Looker Marketplace can help you find more customers for your app and can promote a better user experience. Jawad compared using the extension framework to build for the Looker Marketplace as having an app in the Apple store. Being in the Marketplace is a way for customers to find and use his product organically, and it helps give the end users a streamlined experience. He said: “We were able to quickly copy and paste our whole application from a stand-alone website into something that is inside of Looker. And we did this quickly—one developer did this in one day. It’s a lot easier than you think, so I encourage everyone to give it a try. Just go build!”“Looker for Modelers: What’s New and What’s Next”Adam Wilson, Product Manager at Looker, covered the latest upgrades and future plans for Looker’s semantic data model. This layer sits atop multiple sources of data and standardizes common metrics and definitions, so it can be governed and fed into modern built-in business intelligence (BI) interactive dashboards, connected into familiar tools such as Google sheets, and other BI tools where users work —we’re calling this the unified semantic model.Capabilities to look out for:Take advantage of Persistent Derived Table (PDT) upgrades that facilitate the end-user experience.You can use incremental PDTs to capture data updates without rebuilding the whole table, meaning your users get fresh data on a more regular basis with a lower load on your data warehouse. And it’s now possible to validate PDT build status in development mode, giving you the visibility needed to determine when to push updates to production. Coming soon, you’ll be able to do an impact analysis on proposed changes with visualized dependencies between PDTs.Reach users where they are with Connected Sheets and other BI tools.Coming soon, you’ll be able to explore Looker data in Google Sheets and share charts to Slides, too. And with Governed BI Connectors, Looker can act as a source of truth for users who are accustomed to interacting with data in Tableau, Power BI, and Google Data Studio. You can sign up to hear when the Connected Sheets and Looker integration is available or separately to hear about preview availability for Governed BI Connectors.* Source: The Total Economic Impact™ of Looker, Forrester Consulting, June 2021.A commissioned study conducted by Forrester Consulting on behalf of Google Cloud** Source: Google Community Data, December 2020, 2021HackathonSpeaking of interesting new developments, here’s your fun surprise: a hackathon recap with a new chart you can use in your own analytics.The Looker developer community came together to create innovative Looker projects at this year’s JOIN hackathon, Hack@Home 2021. The event provided the participants access to the latest Looker features and resources to create tools useful for all Looker developers. The Nearly Best Hack Winner project demonstrated how easy it is to make custom visualizations by creating an animated bar chart race visualization that anyone can use. The Best Hack Winner showcased the power of the Looker extension framework with a Looker application that conveniently writes CSV data into Looker database connections.You can still view all the keynotes, as well as the breakout sessions and learning deep dives, on-demand on the JOIN@Home content hub. These will be available through the end of the month, so go soak up the learning while you can.
Quelle: Google Cloud Platform
Editor’s note: Today, we hear from Mengliao Wang, Senior Software Developer, Team Lead at Geotab, a leading provider of fleet management hardware and software solutions. Read on to hear how the company is expanding on their adoption of Google Cloud to deliver new services for their customers by leveraging Google Kubernetes Engine (GKE) multi-cluster features.Geotab’s customers ask a lot of our platform: They use it to gain insights from vast amounts of telemetry data collected from their fleet vehicles. They rely on it to adhere to strict data privacy requirements. And, because our customers are located all over the world, they need the platform to address their data residency and other jurisdictional processing requirements, which require compute and storage to live within a specific geographic region. Meanwhile, as a managed service provider, we need a cost-efficient business model — that was certainly a driving factor for adopting containers and GKE. As we started architecting the deployment of multiple clusters to support our customers’ data residency requirements, we determined we also needed to explore approaches to reduce the total operational maintenance and costs of our multi-cluster environment.In order to meet customers where they are, we moved forward with running GKE clusters in multiple Google Cloud Platform regions. At the same time, we recently began using GKE multi-cluster services, which provides our customers with the security and low latency they need, while giving us cost savings and an easy-to-maintain solution. Read on to learn more about Geotab, our journey to Google Cloud and GKE, and, more recently, how we deployed multi-cluster Kubernetes using GKE multi-cluster services.The rise of connected fleet vehicles “By 2024, 82% of all manufactured vehicles will be equipped with embedded telematics.”—Berg InsightAs a global leader in IoT and connected transportation, Geotab is advancing security, connecting commercial vehicles to the internet, and providing web-based analytics to help customers better manage their fleet vehicles. With over 2.5 million connected vehicles and processing billions of data points per day, we leverage data analytics and machine learning to support our customers in several ways. We help them improve productivity, optimize fleets by reducing their fuel consumption, enhance driver safety, achieve strong compliance to regulatory changes, and meet sustainability goals. Geotab partners with Original Equipment Manufacturers (OEMs) to help expand customers’ fleet management capabilities through access to the Geotab platform.Our journey to Google Cloud and GKEWe originally chose Google Cloud as our primary cloud provider as we found it to be the most stable of the cloud providers we tried, with the least amount of unscheduled downtime. End-to-end reliability is an important consideration for our customers’ safety and their confidence in Geotab’s driver-assistance features. Since getting started on our public cloud journey, we’ve leveraged Google Cloud to modernize different aspects of the Geotab platform.First, we embarked on a multi-milestone and multi-year initiative to modernize the Geotab Data Platform, adopting a container-based architecture using open source technologies; we continue to leverage Google Cloud services to launch innovative solutions that combine analytics and access to massive data volumes for better transportation planning decisions. Today, Geotab Data Platform is built entirely on GKE, with multiple services such as data ingestion, data digestion, data processing, monitoring and alerting, a management console, and several applications. We are now leveraging this modern platform to introduce new Geotab services to our customers.Exploring multi-cluster KubernetesAs discussed above, we recently began deploying our GKE clusters into multiple regions, to meet our customers’ performance and data residency requirements. However, not every service that makes up the Geotab platform is created equal… For example, data digestion and data ingestion services are at the core of the data platform. Data digestion services are Application Programming Interfaces (API), machine learning models, and business intelligence (BI) tools that consume data from the data environment for various data analysis purposes, and are served directly to customers. Data ingestion services ingest billions of telematics data records per day from Geotab GO devices and are responsible for persisting them into our data environment.But when looking at optimizing operating costs, we identified several services outside of the data platform that did not process sensitive customer information — our monitoring and alerting services are examples of these services. Duplicating these services in multiple regions would result in higher infrastructure costs and would result in additional maintenance complexity and overhead.We decided to deploy the services that do not process any customer data as shared services in a dedicated cluster. Not only does this lower the cost for resources, but it also makes it easier to manage from an operational perspective. However, this approach introduced two new challenges:Services such as data ingestion and data digestion that run in each jurisdiction needed to expose their metrics outside of their cluster to make them available to the shared services (monitoring and alerting / management console) running on the shared cluster, resulting in some security concerns.Since metrics would not be passing within a cluster subnetwork, they would travel via the public network, resulting in higher latency as well as additional security concerns.This is where GKE Multi-cluster Services (MCS) came in, perfectly solving these concerns without introducing any new architectural components for us to configure and maintain. MCS is a cross-cluster Service Discovery and invocation mechanism built-in to GKE. MCS extends the capabilities of the standard Kubernetes Service object. Services that are configured to be exported with MCS are discoverable and accessible across all clusters within a fleet of clusters via a virtual IP address, matching the behavior of a ClusterIP Service that is accessible within a cluster. With MCS, we do not need to expose public endpoints and all traffic is routed within the Google network.With MCS configured, we get the best of both worlds: services between the shared cluster and other regionally hosted clusters communicate as if they are all hosted in one cluster! Problem solved! Reflecting on the journeyOur modernization journey on Google Cloud continues to pay dividends. During the first phase of our journey, we reaped the benefits of being able to scale up our systems with less downtime. With GKE features like MCS, we are able to reduce the time required to roll-out new features to our global customers while addressing our business objectives to manage operating costs. We look forward to continuing on our multi-cluster journey with Google Cloud and GKE. Are you interested in learning more about how GKE multi-cluster services can help with your Kubernetes multi-cluster challenges? Check out this guide to configuring multi-cluster services, or reach out to a Google Cloud expert — we’re eager to help!Related ArticleDriving change: How Geotab is modernizing applications with Google CloudOver time, Geotab converted production servers running Windows Server to containers and open source, saving hundreds of thousands of doll…Read Article
Quelle: Google Cloud Platform
Über den EC2-Instance-Metadaten-Service können Sie jetzt auf die Tags Ihrer Instanz zugreifen. Mit Tags können Sie AWS-Ressourcen auf unterschiedliche Weise kategorisieren (z. B. nach Zweck, Eigentümer oder Umgebung). Dies ist hilfreich, wenn Sie viele Ressourcen desselben Typs haben. Eine bestimmte Ressource kann dann anhand der ihr zugewiesenen Tags schnell identifiziert werden. Bisher konnten Sie die Konsole oder über die describe-tags-API auf Ihre Instance-Tags über zugreifen.
Quelle: aws.amazon.com
AWS Lambda-Funktionen, die die Node.js 14-Laufzeit verwenden, unterstützen jetzt den in Form von ECMAScript-Modulen verpackten Code, wodurch Lambda-Kunden in ihren Lambda-Funktionen eine breitere Palette von JavaScript-Paketen verwenden können. Darüber hinaus können Lambda-Kunden jetzt die Vorteile von „Top-Level-Await“ nutzen, einer Funktion der Sprache Node.js 14. Bei Verwendung zusammen mit Provisioned Concurrency verbessert dies die Kaltstartleistung für Funktionen mit asynchronen Initialisierungsaufgaben. Weitere Informationen finden Sie im Blogpost Anwendung von Node.JS ES-Modulen und Top-Level Await in AWS Lambda.
Quelle: aws.amazon.com
