Erkennen Sie Multikollinearität und exportieren Sie Ergebnisse mit wenigen Klicks mit Amazon SageMaker Data Wrangler

Amazon SageMaker Data Wrangler reduziert den Zeitaufwand für die Zusammenführung und Vorbereitung von Daten für maschinelles Lernen (ML) von Wochen auf Minuten. Mit SageMaker Data Wrangler können Sie den Prozess der Datenaufbereitung und des Merkmal-Engineerings vereinfachen, und jeden Schritt des Datenaufbereitungs-Arbeitsprozess, einschließlich der Datenauswahl, -bereinigung, -erkundung und -visualisierung, über eine einzige visuelle Oberfläche abschließen. Ab heute können Sie neue Funktionen von Amazon SageMaker Data Wrangler nutzen, die die Vorbereitung von Daten für ML vereinfachen und beschleunigen, einschließlich: Multikollinearitätserkennung, einfacher Export von Ergebnissen in Amazon S3, Unterstützung für Spaltentrennzeichen und die Möglichkeit, denselben SageMaker-Data-Wrangler-Fluss auf verschiedenen Datensätzen Ihrer Wahl wieder zu verwenden.
Quelle: aws.amazon.com

Zero effort performance insights for popular serverless offerings

Inevitably, in the lifetime of a service or application, developers, DevOps, and SREs will need to investigate the cause of latency. Usually you will start by determining whether it is the application or the underlying infrastructure causing the latency. You have to look for signals that indicate the performance of those resources when the issue occured. Using traces as your latency signalsIn most instances, the signals that provide the richest information for latency are traces. Traces represent the total time it takes for a request to propagate through every layer of a distributed system, including the load balancer, computes, databases and more during execution. The subset of traces used to represent each layer of the execution are referred to as spans.The difficulty of generating traces has prevented many users from accessing this useful troubleshooting resource. To make them more easily available to developers, we’ve started instrumenting our most popular serverless compute options, AppEngine, Cloud Run and Cloud Functions to generate traces by default. While this will not provide the full picture of what is going on in a complex distributed system, it will provide crucial pieces of information needed to decide which area to focus on during troubleshooting. What do I need to do to get this benefit today?The simple answer is, nothing!  Once your code is deployed in any serverless compute like AppEngine, Cloud Run or Cloud Functions, any ingress or egress traffic through the compute automatically generates spans that are captured and stored in Cloud Trace.  These spans are stored for 30 days at no additional cost.  See additional terms here. The resulting traces can be visualized as waterfall graphs with representative values of latency. In addition, we have extended this capability to Google Cloud databases, with Cloud SQL Insights generating traces representative of query plans for PostgreSQL and sending them to Cloud Trace. The screenshot below is a Day 1 trace captured from a simple “Helloworld” application deployed in Cloud Run. The load balancer span (i.e. root span) is indicative of the total time through Google Cloud’s infrastructure and the Cloud Run span is indicative of the time it took for the compute to execute and service the request. As you can see in the graphic below, the loadbalancer span is roughly equal to the Cloud Run span, so we can conclude that any observed latency is not being caused by Google’s infrastructure. At this point you can focus more on your code.This is awesome, how do I extend it?You must still instrument your application if you want it to generate more granular spans representative of the code’s execution. You can start here to pick the library that matches your development language and for instructions on how to instrument your code. Once this is done, your traces will get richer, encompassing more spans with information about both the performance of the infrastructure and application in one single waterfall view.  Cloud Trace – Google Cloud’s hub for Infrastructure tracesWe are excited about the future of telemetry in Google Cloud. Upcoming releases in the next six months will touch on infrastructure instrumentation and areas like trace analysis, metrics, integrations to other Google Cloud products and integrations with third party APM products. Next StepsExplore the traces from your infrastructure in your Cloud Trace console and explore the available libraries and procedures for application instrumentation. If you have questions or feedback about this new feature, head to the Cloud Operations Community page and let us know!
Quelle: Google Cloud Platform

Zero trust is a must: Supporting our customers with new BeyondCorp Enterprise features

Since launching BeyondCorp Enterprise in January, our team has been busy working with customers to understand how they are using the product and what we can do to better support their needs as they continue on their zero trust journey. We believe zero trust is an effective way to enhance overall security and provide a better user experience and BeyondCorp Enterprise can help make this possible. Today, we’re excited to announce three new BeyondCorp Enterprise features designed to help our customers provide their users simple and secure access to key applications.Certificate-based access via VPC-SCFirst, certificate-based access for GCP APIs via VPC Service Controls (VPC-SC) is now generally available. Using bearer credentials to authenticate access to Cloud Console and Google Cloud APIs is nothing new, but if these credentials are accidentally exposed, they will invariably be found and used by attackers for illegitimate access. Using certificate-based access protects against credential theft or accidental exposure by only granting access when credentials plus a verified device certificate are presented. We now offer native support for client certificates for eight types of VPC-SC resources: GCE, GKE, PubSub, Spanner, Cloud KMS, GCS, BigQuery, and Logging, with more to follow. To begin leveraging certificate-based access for these APIs, visit our documentation page and get started.On-prem connectorNext, we are giving customers a choice for how they connect to on-premises resources with our On-prem connector, which is also now generally available.  Customers can secure HTTP or HTTPS based on-premises applications (outside of Google Cloud) with Identity-Aware Proxy (IAP) by deploying a connector. When a request is made for an on-premises app, IAP authenticates and authorizes the user request and then routes the request to the connector. To deploy the connector for your on-premises applications, see our step-by-step guidance on the Identity-Aware Proxy documentation page.Easy to configure custom access policies Finally, we’re excited to announce the availability of even more zero trust access conditions in Access Context Manager, the zero trust policy engine behind BeyondCorp Enterprise. The ability to leverage new attributes gives administrators even more ways to build fine-grained access control policies to safeguard their applications and Google Cloud resources. Three new sets of attributes are now in public preview and customers can begin using these today:Time and dateWhen evaluating zero trust access, it is often necessary to restrict user access to resources to particular days and time (e.g. shift workers or temporary employees). The time and date restriction is a feature for enterprise customers to enable access controls based on specific times, dates, and/or ranges.Credential strengthConfiguring two-step verification is an important action to prevent security breaches. By leveraging credential strength as another condition in access control policies, enterprises can enforce access controls based on the usage of hardware security keys or other forms of multi-factor authentication. BeyondCorp Enterprise now supports push notifications, SMS codes, 2SV software and hardware keys, one-time passwords, or a general use of any form of MFA.Chrome BrowserTo ensure that users are accessing resources from secure environments, administrators can set zero trust policies that ensure the user’s browser environment has these threat and data protection capabilities turned on. The following are new access conditions that can be used in ACM’s custom access levels: management state, minimum version, real-time URL checks enabled, file upload/download analysis enabled, bulk text (paste) analysis enabled, and security event reporting enabled.We’re just getting startedWe’ll continue to make strides to help our customers. If you’d like to take a deeper look at BeyondCorp Enterprise, check out the BeyondCorp Enterprise Technical Validation report, recently released by the Enterprise Strategy Group. This report provides an assessment of the solution, stating: “ESG validated that configuring BeyondCorp Enterprise to provide secure access to on-premises, SaaS, and cloud applications was quick and easy.”To learn more about these new features and the other exciting work we’re doing in the zero trust space, be sure to register for Google Cloud Next ‘21. We have a great lineup of security sessions planned for you!Related ArticleRegistration is open for Google Cloud Next: October 12–14Register now for Google Cloud Next on October 12–14, 2021Read Article
Quelle: Google Cloud Platform