medium.com – As Kubernetes continues to mature there has been a proliferation of choice for Kubernetes infrastructure tools, installers, and services. Practitioners have a pretty big menu of options, specifically…
Quelle: news.kubernauts.io
Are you an artist, photographer, or freelance writer? How about a website designer, master metalsmith, or musician? If you’re in any creative profession and would like to learn more about how to market and sell your services and work online, we’ve created a free webinar just for you.
We’ve partnered with our friends at FreshBooks, the leading invoicing and accounting software for creative entrepreneurs, to offer tips on how to build your online store and automate your sales and accounting, leaving you with more time to focus on your craft.
Date: Wednesday, May 20, 2020Time: 10:00 a.m. PDT | 11:00 a.m. MDT | 12:00 p.m. CDT | 1:00 p.m. EDT | 17:00 UTCCost: FreeRegistration linkWho’s invited: Artists, writers, musicians, website and graphic designers, photographers, marketers, and anyone else interested in learning how to sell their creative services online.
Your hosts will be Jonathan Wold, Community Manager at WooCommerce, and Irene Elliott, Senior Community Manager at FreshBooks. Dustin Hartzler, a WooCommerce Happiness Engineer, will moderate questions. After the 45-minute presentation, we’ll open up the (virtual) floor for a 15-minute Q&A session.
Attendee slots are limited, so be sure to register early to save your seat! But if you can’t make it, we’ve got your back. A recording of the webinar will be uploaded to our YouTube channel a few days after the event.
See you then!
Quelle: RedHat Stack
With just 2 weeks away from DockerCon LIVE going, LIVE, we are humbled by the tremendous response from almost 50,000 Docker developers and community members, from beginner to expert, who have registered for the event.
DockerCon LIVE would not be complete without our ecosystem of partners who contribute to, and shape, the future of software development. They will be showcasing their products and solutions, and sharing the best practices they have culminated in working with the best developers and organizations across the globe.
We are pleased to announce the agenda for our Container Ecosystem Track with sessions built just for devs. In addition to actionable takeaways, their sessions will feature interactive, live Q&A, and so much more. Check out the incredible lineup:
Access Logging Made Easy With Envoy and Fluent Bit – Carmen Puccio, Principal Solutions Architect | AWS
Docker Desktop + WSL 2 Integration Deep Dive – Simon Ferquel, Senior Software Developer | Docker | Microsoft
Experience Report: Running a Distributed System Across Kubernetes Clusters – Chris Seto, Software Engineer | Cockroach Labs
Securing Your Containerized Applications with NGINX – Kevin Jones, Senior Product Manager | NGINX
You Want To Kubernetes? You MUST Know Docker! – Angel Rivera, Developer Advocate | CircleCI
Kubernetes at Datadog Scale – Ara Pulido, Technical Evangelist | Datadog
The Evolution of Tracing Containerized Environments – Devon Lawler, Head of Sales Engineering | Epsagon
Monitoring in a Microservices World – Fabian Stäber, Java developer | Instana
Blimp – Docker Compose in the Cloud – Ethan Jackson, Founder, CEO | Kelda
Tinkertoys, Microservices, and Feature Management: How to Build for the Future – Heidi Waterhouse, Principal Developer Advocate | LaunchDarkly
Peeking inside your containers and infrastructure – Mike Elsmore, Developer Advocate | Logz.io
Your Container has Vulnerabilities. Now What? – Jim Armstrong, Product Marketing Director, Container Security | Snyk
Register for DockerCon LIVE today and we’ll see you in two weeks.
The post Announcing the DockerCon LIVE Container Ecosystem Track appeared first on Docker Blog.
Quelle: https://blog.docker.com/feed/
Das Design von Huaweis Mate Xs ist alltagstauglich – als bisher einziges der verfügbaren faltbaren Smartphones. Die Konstruktion wirkt aber empfindlich. Ein Test von Tobias Költzsch (Huawei, Smartphone)
Quelle: Golem
Mit den aktuellen Insider-Builds von Windows lässt sich erstmals DNS über HTTPS auf Betriebssystemebene aktivieren. (DNS, Microsoft)
Quelle: Golem
Der Konzern will den Softwareentwickler Metaswitch kaufen und VoIP-Dienste in Azure integrieren. Das könnte für Microsoft lukrativ werden. (Microsoft, VoIP)
Quelle: Golem
Schwarzweißmodus und Schleichen in einer offenen Welt: Trotz eigenständiger Ideen erinnert Ghost of Tsushima (PS4) an Assassin’s Creed. (Ghost of Tsushima, Sony)
Quelle: Golem
Im ersten Quartal 2020 haben Käufer von Android-Smartphones auf Samsung und Xiaomi gesetzt – und zwar hauptsächlich auf deren preiswerte Modelle. (Samsung, Smartphone)
Quelle: Golem
Companies from startups to multinationals are striving to radically transform the way they solve their data challenges. As they continue to manage increasing volumes of data, these companies are searching for the best tools to help them achieve their goals—without heavy capital expenditures or complex infrastructure management.Google Cloud and NVIDIA have been collaborating for years to deliver a powerful platform for machine learning (ML), artificial intelligence (AI), and data analytics to help you solve your complex data challenges. Organizations use NVIDIA GPUs on Google Cloud to accelerate machine learning training and inference, analytics, and other high performance computing (HPC) workloads. From virtual machines to open-source frameworks like TensorFlow, we have the tools to help you tackle your most ambitious projects. For instance, Google Cloud’s Dataproc now lets you use NVIDIA GPUs to speed up ML training and development by up to 44 times and reduce costs by 14 times.To continue to help you meet your goals, we’re excited to announce forthcoming support for the new NVIDIA Ampere architecture and the NVIDIA A100 Tensor Core GPU. Google Cloud and the new A100 GPUs will come with enhanced hardware and software capabilities to enable researchers and innovators to further advance today’s most important AI and HPC applications, from conversational AI and recommender systems, to weather simulation research on climate change. We’ll be making the A100 GPUs available via Google Compute Engine, Google Kubernetes Engine, and Cloud AI Platform, allowing customers to scale up and out with control, portability, and ease of use. In addition, Google Cloud’s Deep Learning VM images and Deep Learning Containers will bring pre-built support for NVIDIA’s new generation of libraries to take advantage of A100 GPUs. The Google Cloud, NVIDIA, and TensorFlow teams are partnering to provide built-in support for this new software in allTensorFlow Enterprise versions, so TensorFlow users on Google Cloud can use the new hardware without changing any code or upgrading their TensorFlow versions. Avaya makes customer connections with Google Cloud and NVIDIAAvaya, a leading global provider of unified communications and collaboration, uses Google Cloud and NVIDIA technology to address customers’ critical business challenges. Avaya Spaces, a born-in-the-cloud video collaboration solution, runs on Google Cloud and is deployed in multiple data centers globally. With COVID-19 changing the way we work, this solution has been especially helpful to organizations as they shift to social distancing and working from home. “Moving our video processing over to NVIDIA T4s on Google Cloud opens up new innovation opportunities for our platform. Our direction is to infuse real-time AI capabilities in our user experience to create unique value for our end users,” says Paul Relf, Senior Director of Product Management, Cloud Collaboration at Avaya. “We are heavy users of Google Cloud and the value-added capabilities that are available to us. We are also keenly interested in the new AI capabilities coming from NVIDIA and how we can leverage the combined ecosystem to create better outcomes for our Avaya Spaces users.” There is a wide range of use cases for NVIDIA on Google Cloud solutions, across industries and company sizes. We spoke about some of the AI platform uses—from edge computing to graphics visualization—at NVIDIA’s GTC Digital event. You can check out some of the on-demand sessions we think are particularly interesting below:Building a Scalable Inferencing Platform in GCPGoogle Cloud AutoML Video and Edge DeploymentGPipe: Efficient Training of Giant Neural Networks Using Pipeline ParallelismJAX: Accelerating Machine-Learning Research with Composable Function Transformations in PythonArtificial and Human Intelligence in HealthCareIf you’re interested in learning more about the new A100 GPUs on Google Cloud, fill out this form and we’ll be in touch.
Quelle: Google Cloud Platform
The impact of COVID-19 has touched every industry—including manufacturing, which relies heavily on skilled, hands-on workers and complex supply chains. According to a March 2020 survey by the U.S. National Association of Manufacturers, four out of five U.S. manufacturing companies expect to be financially impacted by COVID-19, more than half think they’ll need to change how they operate, and over a third anticipate supply chain disruptions. COVID-19 has also compelled manufacturers to address important issues facing their employees, including remote work and social distancing. It’s a critical time for manufacturers to increase the agility and digitization of their supply chains and operations; here’s how cloud can help businesses resume under new norms.Enabling automationWhile the full impact of COVID-19 is still unknown, many factories are already experiencing decreases in workforce capacity and resources. Manufacturers face tough questions around how to quickly understand this new landscape and develop new operating procedures and automation initiatives that enable them to adapt quickly and enable their employees to safely work on site.We want to help manufacturers address these challenges by offering tools that automate processes, remotely monitor systems, and extend their capabilities beyond the factory floor. Using Vision AI, for example, manufacturers can train machine-learning models to visually inspect goods and processes for quality and compliance, without putting human inspectors at risk. By connecting operational technology (OT) and information technology (IT) via the cloud, operators can monitor and control specific machines or plants remotely, using dashboards and performance views. GlobalFoundries, a leader in the semiconductor manufacturing industry, is already using AutoML Vision to build a visual inspection solution that can detect random defects in wafer map and scanning electron microscope (SEM) images, which are essential elements in the semiconductor manufacturing process. AutoML Vision reads in the images of wafers and sample defects, and trains customized models to detect these defects. AutoML Vision could successfully classify 80% of the images based on a limited amount of training data in the initial pass itself. This fast path to high accuracy let GlobalFoundries quickly move to production, start realizing benefits, and scale up. The foundry subsequently improved quality and customer satisfaction, and 40% of the manual inspection workload has already been successfully shifted to the visual inspection solution built based on AutoML Vision.Supporting remote workGoogle Meet, our premium, secure video meetings solution, can help manufacturers hold daily meetings, training, and onboarding without the need to be on site, while G Suite tools like Google Docs, Sheets, and Slides let teams collaborate on document authoring remotely. Google Meet can also assist with virtual training and the safe and secure on-boarding of new hires.KAESER Compressors, one of the world leaders in compressed air products, accelerated their deployment of G Suite when they needed to rapidly convert their teams to remote work as a result of COVID-19. “We were deeply impressed by how quickly our employees adopted G Suite and we really believe in cloud’s benefits,” says Falko Lameter, CIO at KAESER Compressors. “We have access to more memory, better machines, and more advanced technology, such as machine learning. Google Cloud has shown its commitment to innovation in these areas, and we are looking forward to scaling our collaboration in the future.”Energy solutions provider Viessmann was able to keep up its production, and G Suite has helped them to convert their employees to remote work within a 48-hour span. Since then they have conducted roughly 60,000 Google Meet conferences per month. Additionally, Google Sheets was established as the primary IT dashboard for monitoring KPIs for Viessmann’s IT infrastructure. Being one of the first manufacturing companies that chose Chromebooks granted employees who work from home peace of mind, as their accounts are secure and protected through Google’s modern authentication technologies. Viessmann even developed a ventilator in significantly less time than usual. G Suite helped the involved engineers to collaborate and exchange on the project with ease and thus was essential to speed up the launch process. “The G Suite communications and collaboration infrastructure is self-maintaining, and it has made each of us more independent,” says Alexander Pöllmann, Head of Intranet and Collaboration Services at Viessmann. “We can work together from everywhere across borders and time zones, on any device. This kind of flexibility makes our workforce more agile, and ultimately, happier and more productive.” Koenig & Bauer, the world’s oldest printing press manufacturer, migrated to G Suite in early 2020 to increase productivity and collaboration amongst teams. In light of COVID-19, the timely switch to G Suite helped Koenig & Bauer significantly to keep workplaces connected. Teams in different locations—even at home—have access to tools like video conferencing, calendar functions, word processing, and spreadsheet calculations, and can now share files, all with a single click and on one single platform.1 “Before we moved to G Suite, we had a very heterogeneous, non-collaborative IT environment and the resource consumption was pretty heavy,” says Jürgen Tuffentsammer, CIO of Koenig & Bauer. “Since the migration, our team collaboration has improved and we can share and execute against innovative ideas so much faster than before.”Managing volatility in supply and demandThe COVID-19 pandemic has disrupted global supply chains and distribution channels. Now more than ever, accurately forecasting demand and optimizing supply in this continuously evolving environment requires integrating data from multiple sources and analyzing it in real time. It’s a job analytical tools like BigQuery were designed for. By applying smart analytics and AI, manufacturers can better predict demand and adapt their operations to meet it.AI can also help mitigate problems with last-mile delivery, which account for more than half of all shipping costs. The ability to optimize routes using real-time weather and traffic data, as well as to deploy ML models to predict where new pickups are likely to come from, will enable companies to minimize operating expenses while maximizing services.Last month, Missouri Governor Mike Parson announced the launch of a new tool developed by Google Cloud to help health care providers connect with Missouri manufacturers and suppliers of personal protective equipment (PPE). The Missouri PPE Marketplace tool is a joint effort between the state and the Missouri Hospital Association, built to help those manufacturers that have shifted production to PPE enter the healthcare market and connect with buyers.Additionally, over the past month, the state’s Department of Economic Development (DED) has gathered interest from more than 200 PPE manufacturers and suppliers, inviting them to register in the system. State healthcare agencies and the Missouri Hospital Association are reaching out to healthcare providers across the state to ensure they have access and can connect directly with suppliers through the new tool.Optimizing IT spendMoving to the cloud is an important way businesses can optimize their technology spend and find new efficiencies. For manufacturers, this can translate into more customers served, more issues resolved, and more adaptability for the overall business. The cloud offers the potential for drastically reduced data costs and infrastructure savings, plus increased performance, simplicity, and scalability across IT environments. The cloud can support manufacturers in many ways, from improving safety, to weathering market uncertainties, to preparing for the future. For example, we recently joined the Rolls-Royce EMER²GENT alliance, which aims to help foster global economic recovery by identifying early signs of rebounding economies (we’re providing access to our public data sets and BigQuery as part of the effort). Whether it’s modernizing infrastructure, increasing agility, or digitizing supply chains and operations, we’re focused on providing the solutions that will help enable manufacturers to operate during the pandemic and beyond.Visit our website to learn more about manufacturing on Google Cloud.1. Source: Koenig & Bauer Annual Report 2019
Quelle: Google Cloud Platform
