November 2020 - Seite 28 von 43 - Cloud Computing Köln

TheGoogle Cloud Public Sector Summit is less than a month away, Dec. 8-9, and we have a fantastic lineup of stellar speakers that you will not want to miss! Register now at no cost.Google Cloud CEO Thomas Kurian will kick things off during our opening keynote, reflecting on the public sector’s impressive ability over the last year to transform quickly and collaborate more broadly than ever before. Then, we’ll welcome Mike Daniels, Google Cloud’s vice president of global public sector, who will share important updates and lessons learned from a year of unprecedented challenges and achievements , and look ahead to the future of service delivery and experiences in the digital world. You definitely won’t want to miss this keynote, where we will share real-world stories of public sector innovation and highlight how Google Cloud supports the unique requirements of government organizations, educational institutions, and researchers.After the keynote, you’ll want to tune in for two days of interactive content, featuring thought-provoking panels, keynotes, customer success stories, and more. We’re especially excited to welcome more than 40 Google Cloud public sector customers to the virtual stage. Their candid stories and experiences will showcase the creativity and innovation they are using to tackle some of the world’s toughest challenges.Session topics will cover critical issues including:Applying AI to overcome limitations. Hear how the City of Toronto, Upper Grand School District (Ontario, Canada), DoD Joint AI Center, and the Illinois Department of Employment Security are using AI to scale up, and be more efficient and productive.Prioritizing student success. Partners like Jenzabar and Strategic Education are leveraging analytics and machine learning to improve learning environments for better student outcomes. Delivering benefits to citizens faster. Customers like the State of Illinois embraced virtual agents to scale response and support to citizens. Driving research outcomes. Partners like GDIT are working with Google Cloud to conduct data discovery at scale and help improve disease research in areas like breast cancer.We’re also pleased to offer a series of sessions focused on diversity, equity, and inclusion to help our public sector community lead with openness in the workplace, in the classroom and with citizen services. We will kick off day two of our event with a special keynote from Dr. Jennifer Eberhardt, author of Biased: Uncovering the Hidden Prejudice That Shapes What We See, Think and Do, who will walk us through how bias shows up in our lives and offer tools to help address it. Lastly, don’t miss our live Ask the Expert experience! Sign up to chat with a Google expert on one of these topics: Smart Analytics, Security, Infrastructure Modernization, Application Modernization, Productivity and Collaboration Artificial Intelligence, and Digital Transformation. Spaces will fill up, so don’t delay. The Google Cloud Public Sector Summit is a complimentary event, filled with opportunities to learn! Save your spot to be with us on December 8-9 –register today. If you have any questions about the event, please reach out to us at ps-summit-support@google.com.
Quelle: Google Cloud Platform

12. November 2020

da Agency

Announcing our new Professional Machine Learning Engineer certification

Machine learning (ML) is becoming an integral part of how organizations are run with more than two-thirds of businesses around the globe already using ML. However, finding employees with the right ML skills is one of the top concerns for IT leaders in 2020. To help address this skills shortage, we’re offering the Google Cloud Professional Machine Learning Engineer certification. Now, cloud professionals can become industry recognized and demonstrate to employers their expertise in designing, building, and productionizing ML models to solve business challenges. Feedback from the launch of the exam has been positive. Brian O’Connor, Director of Data Science at Pandera Systems, earned the Google Cloud Professional Machine Learning Engineer certification earlier this year as a part of the exam’s beta phase and specifically found the exam’s integration of machine learning operations (MLOps) as a marker that Google Cloud’s certification has its finger on the pulse of where the future of ML is headed. “There’s a very high demand for the right tools and skills for MLOps, and Google Cloud is ahead of that curve by offering the necessary MLOps tools and training, “ said Brian. “Most corporations have data science teams who are successful at building ML algorithms to solve a problem. However, they’re currently having difficulties integrating those ML algorithms into their existing processes and infrastructure,” he said. O’Connor expects MLOps to be a big trend in the future of data science just as DevOps became a massive trend for development teams years ago. Why get the Google Cloud Professional Machine Learning Engineer certification?Google Cloud certifications have measurable impact on careers and businesses. According to an independent third-party research organization, 87% of Google Cloud certified individuals are more confident in their cloud skills. Moreover, 71% of Google Cloud certified individuals report that becoming certified enabled or will enable their employer to get more business, increase work with existing customers, or help scale up their business. The Machine Learning Engineer certification exam is a two-hour exam which assesses individuals’ ability to frame ML problems, develop ML models, and architect ML solutions. It also evaluates abilities to automate ML pipelines, orchestrate ML pipelines, prepare data, process data, as well as monitor, optimize, and maintain ML solutions. We recommend you have at least three years of industry experience, including one year of experience designing and managing solutions using Google Cloud before taking the exam.How to prepare for the Google Cloud Professional Machine Learning Engineer certification examThe certification exam is thorough and some of the material covered may be new to those interested in earning a Professional Machine Learning Engineer certification. We recommend studying Google Cloud documentation, reviewing sample exam questions, and getting plenty of hands-on experience while preparing for the exam. You can explore labs on Qwiklabs and other course offerings in our ML learning path to gain more hands-on ML experience on Google Cloud. Start getting more hands-on ML system development and operations experience byattendingour November 20 webinar. If you want to learn more about the Professional Machine Learning Engineer certification,sign upfor our prep webinar on November 19 to hear from Lak Lakshmanan, Google Cloud’s Head of Data Analytics and AI Solutions, review sample exam questions, and more.Related ArticlePrepare for Google Cloud certification with one free month of new Professional Certificates on CourseraTrain for Google Cloud certifications with one free month of Professional Certificates on CourseraRead Article
Quelle: Google Cloud Platform

12. November 2020

da Agency

Health checking your gRPC servers on GKE

gRPC is a high-performance open source RPC framework under the Cloud Native Computing Foundation. gRPC is a frequently preferred method for creating microservices among GKE customers since it lets you build services that talk to each other efficiently, regardless of the implementation language of the client and the server.However, Kubernetes does not support gRPC health checks natively. To address this, we have developed and released an open source project called grpc-health-probe, a command-line tool to assess health of a gRPC server that has been downloaded over 1.8 million times.In this article, we will discuss the need for a custom-built tool for health-checking gRPC servers running on Kubernetes clusters such as Kubernetes Engine.The case for gRPC health checking on KubernetesSince Kubernetes runs microservices and gRPC is a popular choice for microservices communication (and gRPC and Kubernetes both are CNCF projects), you might think Kubernetes natively supports gRPC protocol for health checking. However, that’s not the case.Kubernetes natively supports some health check methods to assert readiness or liveness of a Pod:TCP socket openHTTP GET requestexecuting a binary inside the containerDespite the fact that gRPC primarily uses HTTP/2 stack as its transport layer, it’s not possible to craft a gRPC request using Kubernetes “httpGet” probe. Therefore, it was proposed to Kubernetes to add gRPC health checks. However, the current position is to maintain an equal stance towards other RPC frameworks such as Apache Thrift and not support any of these natively in Kubernetes health checks.As a result, Kubernetes does not support gRPC health checks natively for the time being and you need to use a custom-built tool (or write your own).What does “health” mean for a gRPC server?Typically at Google, we have a set of well-known endpoints on every microservice called z-pages (such as /healthz) that helps us standardize health checking across the fleet, among other things. However, there’s no such single well-known health check endpoint that comes with all gRPC servers.To address this, the gRPC core offers a Health Checking Protocol that’s distributed with all gRPC language implementations. All you need to implement this protocol is to register this health service to your server, and implement the rpc Check(HealthCheckRequest) returns (HealthCheckResponse) method to reflect your service’s status.Providing an implementation of this protocol in your gRPC service adds a /grpc.health.v1.Health/Check path to your service that an external tool (or potentially Kubernetes itself) can query to figure out whether your server is healthy or not.Meet grpc_health_probeTo address the problems listed above, we have released a small open source command-line utility called grpc_health_probe that uses the gRPC Health Checking Protocol to query the health of a service, print its status and exit with a success or error code indicating the check result.grpc_health_probe has been downloaded over 1.8 million times and is used in production at many companies using gRPC in part of their stack, including Google.Running this command-line probe tool with a healthy server will show its status and return a zero status code, indicating success:$ grpc_health_probe -addr localhost:5000status: SERVINGHowever, a misbehaving server, such as a frozen one might return a different response and exit with a non-zero exit code:$ grpc_health_probe -addr localhost:5000 -dial-timeout 100mstimeout: failed to connect service “localhost:10000″ within 100ms(exit code 2)grpc_health_probe is designed primarily for Kubernetes. You integrate it to your health checks by making use of exec probes that execute the binary in your container’s Linux namespace periodically. This means that the probe can query the gRPC server running over the loopback interface (i.e. localhost).As a result, integrating grpc_health_probe to your Kubernetes manifests requires you to bundle the binary in your gRPC server’s container image and configuring an “exec” probe in your manifests such as:ConclusionDespite Kubernetes not supporting a native way to health-checking gRPC servers, it can be done simply by bundling a standard probe tool in your container image and invoking it via exec probes.Not surprisingly, this approach works for health checking on other Kubernetes-based compute environments such as Knative (and therefore on Cloud Run for Anthos) as well.Alternative to executing a probe binary, you can implement your own /healthz endpoint using vanilla HTTP within the same server process and use Kubernetes httpGet probe. Some languages like Go make this easier, while others might not. For that scenario, you can develop a sidecar container running a vanilla HTTP server that queries the gRPC server in the same pod, and use httpGet probe with that.If you are interested in reading more about the reasoning that led to creation of the grpc-health-probe project, make sure to check out the reading links below and I’m always happy to chat about this topic, so find me on Twitter.Further reading:Kubernetes Blog: Health checking gRPC servers on Kubernetesgrpc-health-probe on GitHubgRPC health checking protocolRelated ArticleAPI design: Understanding gRPC, OpenAPI and REST and when to use themWhen designing a modern API, learn when to use RPC (gRPC), OpenAPI or REST.Read Article
Quelle: Google Cloud Platform