In gigantischen Solar- und Windparks wird Australien bald den Energieträger der Zukunft, Wasserstoff, herstellen. Deutschland will sich einen Teil sichern – weil es muss. Von Wolfgang Kempkens (Wasserstoff, Solarenergie)
Quelle: Golem
Volkswagen will in nur zehn Stunden ein Elektroauto auf Basis der neuen Plattform SSP bauen. Dafür könnte es ein neues Werk bei Wolfsburg geben. (Elektroauto, Auto)
Quelle: Golem
We are happy to announce a record-breaking performance with NVIDIA in the STAC-A2 benchmark, affirming Red Hat OpenShift’s ability to run compute heavy, high performance workloads. The Securities Technology Analysis Center (STAC®) facilitates a large group of financial firms and technology vendors that produces benchmark standards which enable high-value technology research and testing software for multiple financial applications.
Quelle: CloudForms
Performance is important when it comes to security features such as SELinux. In this post, Software Engineer Ondrej Mosnacek walks us through making several SELinux performance improvements.
Quelle: CloudForms
It’s hard to believe that it’s been a full year since we launched WPCourses.com! In that short time, we’ve been incredibly inspired by the group of ambitious learners we have been able to work with. In fact, we’ve been so moved by the enthusiasm of the community we’ve built so far that we want to ensure this experience is available to as many people as possible.
So we’re happy to announce the launch of our very first free course, Intro to Blogging. In this course you’ll learn about:
What blogging is and why so many people are doing it.How to set up, navigate, and manage your blog or website. How to create blog content like a pro and create a site people love to visit.How to identify your audience, set goals, and build your own blogging strategy.
By signing up you’ll get access to our course platform where you can work through each lesson at your own pace and take your time to really put that information to use as you build, design, or revamp your site.
Take The Free Course
We also used our time building out the free course as an opportunity to improve our existing content. We went back through all of our resources, added new lessons and tips, and expanded our curriculum to make sure participants are fully equipped with the most up-to-date set of tools, strategies, and best practices. Our rapid courses offer a more hands-on learning experience where you’ll benefit from:
Helpful tips and tricks that are shared and discussed every week. Prompts and ideas to help you get unstuck when you need it. A community of peers who grow and learn with you. Weekly office hours when you can chat with experts and ask questions in real time.Quarterly meetups led by true industry experts to ensure you’re using the best tools and strategies to grow.
As a way to celebrate the launch of our free course, we’re also offering 25% off our paid courses— just use the coupon code below at checkout. You’ll get access to the course and the community for a full year so feel free to jump in when you’re ready.
time2learn
Quelle: RedHat Stack
Welcome to JOIN 2021! We’re so excited to kick off Looker’s annual user conference. It’s an event we look forward to each year as it’s a terrific opportunity to connect with the Looker community, interact with our partners and customers, showcase our product capabilities, and share our product vision and strategy for the year ahead. This is the second year in a row that we’re hosting our conference virtually. Even though we were hoping to see you all in person this year, we’re delighted to connect with the Looker community in a virtual setting. This year we have some great content prepared that we hope you will find insightful and educational. JOIN 2021 brings you 3 days of content that includes 5 keynotes, 33 breakouts, 12 How-tos, 27 Data Circles of Success (live!), and our popular Hackathon. One of the most exciting parts of this event is the highly anticipated product keynote session, where you’ll learn about our product vision, key investments, new product features, and the roadmap ahead. It’s also our opportunity to share with you all the cool and exciting projects the team has been working on. Here is a sneak preview of some of the things you will hear in the product keynote:Composable AnalyticsThe idea that different people in different roles need to work with data in different ways is a conviction that guides Looker’s product direction. Composable analytics is about enabling organizations to deliver these bespoke data experiences tailored to the different ways people work, in a way that transcends conventional business intelligence (BI). We at Looker see a world where people can assemble different data experiences, quickly and easily, with reusable components with low code deployment options, without requiring any specialized technical skills. Looker’s investment in the Extension Framework and Looker Components lays the foundation for our developers building composable analytics applications. Looker’s Extension Framework is an accelerator and makes it significantly easier and faster for developers to build a variety of experiences on Looker without having to worry about things like hosting, authentication, authorization, and local API access. “It took one developer one day to stand up an application using the Extension Framework! I’ve seen a lot of great Looker features built over the years. This has the potential to be the most ground-breaking.” —Jawad Laraqui, CEO, Data Driven (Don’t miss Jawad’s session “Building and Monetizing Custom Data Experiences with Looker”)Looker Components lower the barrier to developing beautiful data experiences that utilize native Looker functionality through extension templates, componentized Looker functionality, a library of foundational components, and theming. In July we released Filter components, which allow developers to bring the filters they declare on any Looker dashboard into any embedded application or extension. Today, we announce Visualization components (screenshot below), which is an open-source toolkit that makes it easy to connect your visualization to Looker, customize its presentation, and easily add it to your external application.In addition, we are also announcing the new Looker public marketplace, where developers can explore Beyond BI content like applications, blocks, and plug-ins.Augmented AnalyticsAugmented analytics is fundamentally changing the way that people interact with data. We see tremendous opportunity to help organizations take advantage of artificial intelligence and machine learning capabilities to deliver a better and more intuitive experience with Looker. We are delivering augmented analytics capabilities via two Solutions – Contact Center AI (CCAI) and Healthcare NLP.Looker’s Solution for Contact Center AI (CCAI), helps businesses gain a deeper understanding and appreciation of their customers’ full journey by unlocking insights from all their company’s first-party data. We’ve partnered with the product teams at CCAI to build Looker’s Block for CCAI Insights, which sets you on the path to integrating the advanced insights into your first-party data in Looker, overlaying business data with the customer experience. Looker’s Block for Healthcare NLP API serves as a critical bridge between existing care systems and applications hosted on Google Cloud providing a managed solution for storing and accessing healthcare data in Google Cloud. Healthcare providers, payers, and pharma companies can quickly understand the context and relationships of medical concepts within the text, such as medications, procedures, conditions, clinical history, and begin to link this to other clinical data sources for downstream AI/ML.We are also investing in the way you can interact with data in Looker. With Ask Looker, you can explore and visualize data using natural language queries. By combining Google’s expertise in AI with Looker’s modern semantic layer, Ask Looker will deliver a uniquely valuable experience to our users that dramatically lowers the barrier to interacting with data (this feature is currently available in preview and we expect to roll it out more broadly in 2022).For more information on the newest Looker solutions, click here. Universal Semantic ModelA core differentiator since the beginning has been Looker’s semantic model. Our LookML modeling language enables developers to describe their organization’s business rules and calculations using centralized and reusable semantic definitions. This means everyone across the organization can trust that they’re working with consistent and reliable interpretations of the data, allowing them to make more confident business decisions. Soon, different front-end applications like Tableau, Google Sheets, Google Slides, and more will be able to connect to Looker’s semantic model.With Looker’s universal semantic model, organizations can deliver trusted and governed data to every user across heterogeneous tools. This eliminates the risk of people relying on stale and unsecured data that increases the risk of data exfiltration. The universal semantic model gives companies a way to tie disparate data sets together in a central repository that provides a complete understanding of their business.Data Studio is now part of LookerWe are also excited to announce that Data Studio is now a part of the Looker team. Data Studio has built a strong product enabling reporting and ad-hoc analysis on top of Google Ads and other data sources. This is a distinct and complementary use case to Looker’s enterprise BI and analytics platform. Bringing Data Studio and Looker together opens up exciting opportunities to combine the strengths of both products to reimagine the way organizations work with data. As we reach the end of 2021, we feel proud of the product capabilities we shipped this year and we’re excited about the investments we’ll make in 2022. We’re grateful for the continued support of our customers and partners, and our work is inspired every day by the innovative applications you build and use cases you support . We hope you enjoy JOIN 2021 and all the amazing content we have available for you in this digital format. Make sure to register to access all the event sessions. We hope to see you all in person in 2022.
Quelle: Google Cloud Platform
We launched GKE Autopilot back in February and since then, we’ve been hard at work adding functionality to deliver a fully featured, fully managed Kubernetes platform. Today, we’re excited to introduce Spot Pods. (Not familiar with GKE Autopilot yet? Check out the Autopilot breakout session at Google Cloud Next ‘21, which gives a rundown of everything this new Kubernetes platform can do. Customers like the Japanese healthcare startup Ubie are already realizing simpler operations thanks to Autopilot, allowing them to spend less time worrying about infrastructure, and more time building their core business.)Back to Spot Pods… Autopilot is great for running stable, production-grade workloads thanks to its Pod-level SLA, a first for GKE. You might however have other types of workloads that don’t need this high level of reliability, for example fault-tolerant batch workloads, or dev/test clusters that can handle some disruption. Spot Pods give you a convenient and cost-effective way to run these kinds of workloads on GKE Autopilot. (GKE standard users can also take advantage of spot pricing by running their GKE clusters and node pools on Spot VMs.)When you run your workloads with Spot Pods, you will receive a discount of between 60 to 91% off our regularly priced pods (see our pricing page for the current price). There is no hard limit to how long a Spot Pod can run, but they may be preempted and evicted at any time if the resources need to be reclaimed by the platform during times of high resource demand. How Spot Pods workSpot Pods run on spare compute capacity in Google Cloud, which allows you to use them at a lower price compared to regular Autopilot pods, for as long as compute resources are available. If Google Cloud needs the resources for other tasks, GKE evicts your Spot Pods with a grace period of 25s. By using a Kubernetes workload API like Deployment or Job, you can automatically redeploy your Spot Pods as soon as there’s available capacity, and they pick up right where they left off.Spot Pods are available starting in GKE 1.21.4. To enable Spot Pods on your deployment, just add a node selector for cloud.google.com/gke-spot: “true”. Here’s an example Deployment that uses this node selector to enable Spot Pods:When you ask for Spot Pods in this way, Autopilot automatically provisions nodes for them. Autopilot adds Kubernetes taints and tolerations so that your regular, critical Pods stay separated and don’t land on the same nodes as Spot Pods. All you need to do is request Spot Pods in your manifest — GKE handles the rest.When GKE evicts a Spot Pod to reclaim capacity, your containers get a SIGTERM signal and get up to 25s to wrap up their work. Make the most of this by adding terminationGracePeriodSeconds to your PodSpec, and gracefully shut your container down when it receives the SIGTERM signal.Use Spot Pods to maximize your savings when you run fault-tolerant workloads on Autopilot clusters. For your regular Pods, you can also take advantage of Autopilot committed use discounts (CUDs), which launched earlier this year, and offer discounts of up to 45%. CUDs don’t apply to Spot Pods, which are already heavily discounted, but they do offer a convenient way to save money on pods that require a more stable environment. Regardless of your workload, GKE gives you a way to save.Spot Pods are in Preview, and available starting with GKE version 1.21.4. To get started with Spot Pods for GKE Autopilot, read the documentation for Spot Pods, and create an Autopilot cluster in the Rapid release channel. For more such capabilities register to join us live on Nov 18th for Kubernetes Tips and Tricks to Build and Run Cloud Native Apps.
Quelle: Google Cloud Platform
With Network Service Tiers, Google Cloud is the first major public cloud to offer a tiered cloud network. Two tiers are available: Premium Tier and Standard Tier.Click to enlargePremium TierPremium Tier delivers traffic from external systems to Google Cloud resources by using Google’s highly reliable, low-latency global network. This network consists of an extensive private fiber network with over 100 points of presence (PoPs) around the globe. This network is designed to tolerate multiple failures and disruptions while still delivering traffic.Premium Tier supports both regional external IP addresses and global external IP addresses for VM instances and load balancers. All global external IP addresses must use Premium Tier. Applications that require high performance and availability, such as those that use HTTP(S), TCP proxy, or SSL proxy load balancers with backends in more than one region, require Premium Tier. Premium Tier is ideal for customers with users in multiple locations worldwide who need the best network performance and reliability.With Premium Tier, incoming traffic from the internet enters Google’s high-performance network at the PoP closest to the sending system. Within the Google network, traffic is routed from that PoP to the VM in your Virtual Private Cloud (VPC) network or closest Cloud Storage bucket. Outbound traffic is sent through the network, exiting at the PoP closest to its destination. This routing method minimizes congestion and maximizes performance by reducing the number of hops between end users and the PoPs closest to them.Standard TierStandard Tier delivers traffic from external systems to Google Cloud resources by routing it over the internet. It leverages the double redundancy of Google’s network only up to the point where a Google data center connects to a peering PoP. Packets that leave the Google network are delivered using the public internet and are subject to the reliability of intervening transit providers and ISPs. Standard Tier provides network quality and reliability comparable to that of other cloud providers.Regional external IP addresses can use either Premium Tier or Standard Tier. Standard Tier is priced lower than Premium Tier because traffic from systems on the internet is routed over transit (ISP) networks before being sent to VMs in your VPC network or regional Cloud Storage buckets. Standard Tier outbound traffic normally exits Google’s network from the same region used by the sending VM or Cloud Storage bucket, regardless of its destination. In rare cases, such as during a network event, traffic might not be able to travel out the closest exit and might be sent out another exit, perhaps in another region.Standard Tier offers a lower-cost alternative for applications that are not latency or performance sensitive. It is also good for use cases where deploying VM instances or using Cloud Storage in a single region can work. Choosing a tierIt is important to choose the tier that best meets your needs. The decision tree can help you decide if Standard Tier or Premium Tier is right for your use case. Because you choose a tier at the resource level—such as the external IP address for a load balancer or VM—you can use Standard Tier for some resources and Premium Tier for others. If you are not sure which tier to use, choose the default Premium Tier and then consider a switch to Standard Tier if you later determine that it’s a better fit for your use case.For a more in-depth look into Network Service Tiers check out the documentation. For more #GCPSketchnote, follow the GitHub repo. For similar cloud content follow me on Twitter @pvergadia and keep an eye out on thecloudgirl.dev.Related ArticleGoogle Cloud Networking overviewAn overview of Google Cloud Networking.Read Article
Quelle: Google Cloud Platform
AWS Lambda erlaubt Ihnen jetzt Ihre Funktionen mit Container-Images zu erstellen oder zu aktualisieren, die in einem Amazon ECR-Repository in einem anderen AWS-Konto als dem Ihrer AWS Lambda-Funktion gespeichert sind. Zuvor konnten Sie nur auf Container-Images zugreifen, die in einem Amazon ECR-Repository im selben AWS-Konto wie Ihre AWS Lambda-Funktionen gespeichert waren. Wenn Sie ein zentrales Konto für Ihre Amazon ECR-Repositorys verwendet haben, mussten Sie Ihre Container-Images in ein Amazon ECR-Repository im selben Konto wie Ihre Lambda-Funktion kopieren. Sie können diesen Workflow nun vereinfachen, indem Sie auf das Container-Image zugreifen, das in einem Amazon ECR-Repository in einem anderen Konto gespeichert ist.
Quelle: aws.amazon.com
Amazon SageMaker Studio ermöglicht es Kunden jetzt, Testinferenz-Anforderungen an Endpunkte mit einer benutzerdefinierten URL und an Endpunkte, die bestimmte Header erfordern, zu stellen. Amazon SageMaker unterstützt Datenwissenschaftler und Entwickler bei der Vorbereitung, der Erstellung, dem Training und der Bereitstellung hochwertiger Machine-Learning (ML)-Modelle durch eine breite Palette von speziell für ML entwickelten Funktionen. Amazon SageMaker Studio bietet eine einzige webbasierte visuelle Oberfläche, auf der Sie alle ML-Entwicklungsschritte ausführen können.
Quelle: aws.amazon.com
