Node, Python and Java repositories now available in Artifact Registry

As a developer, you need a secure place to store all your stuff: container images of course, but also language packages that can enable code reuse across multiple applications. Today, we’re pleased to announce support for Node.js, Python and Java repositories for Artifact Registry in Preview. With today’s announcement, you can not only use Artifact Registry to secure and distribute container images, but also manage and secure your other software artifacts. At the same time, the Artifact Registry managed service provides advantages over on-premises registries. As a fully serverless platform, it scales based on demand, so you only pay for what you actually use. Enterprise security features such as VPC-SC, CMEK, and granular IAM ensure you get greater control and security features for both container and non-container artifacts. You can also connect to tools you are already using as a part of a CI/CD workflow. Let’s take a closer look at the features you’ll find in Artifact Registry, giving you a fully-managed tool to store, manage, and secure all your artifacts. Expanded repository formatsWith support for new repository formats, you can streamline and get a consistent view across all your artifacts. Now, supported artifacts include:Java packages  (using the Maven repository format)Node.js packages (using the npm repository format)Python packages (using the PyPI repository format)In addition to existing container images and Helm charts (using the Docker repository format). Easy integration with your CI/CD toolchainYou can also integrate Artifact Registry, including the new repository formats, with Google Cloud’s build and runtime services or your existing build system. The following are just some of the use cases that are made possible by this integration:Deployment to Google Kubernetes Engine (GKE), Cloud Run, Compute Engine and other runtime services CI/CD with Cloud Build, with automatic vulnerability scanning for OCI images Compatibility with Jenkins, Circle CI, TeamCity and other CI tools Native support for Binary Authorization to ensure only approved artifact images are deployedStorage and management of artifacts in a variety of formatsStreamlined authentication and access control across repositories using Google Cloud IAMA more secure software supply chainStoring trusted artifacts in private repositories is a key part of a secure software supply chain and helps mitigate the risks associated with using artifacts directly from public repositories. With Artifact Registry, you can:Scan container images for vulnerabilitiesProtect repositories via a security perimeter (VPC-SC support)Configure access control at the repository level using Cloud IAMUse customer managed encryption keys (CMEK) instead of the default Google-managed encryptionUse Cloud Audit Logging to track and review repository usageOptimize your infrastructure and maintain data complianceArtifact Registry provides regional support, enabling you to manage and host artifacts in the regions where your deployments occur, reducing latency and cost. By implementing regional repositories, you can also comply with your local data sovereignty and security requirements.Get started todayThese new features are available to all Artifact Registry customers. Pricing for language packages is the same as container pricing; see the pricing documentation for details.To get started using Node.js, Python and Java repositories, try the quickstarts in the Artifact Registry documentation.Node.js Quickstart GuidePython Quickstart GuideJava Quickstart GuideVideo Overview: using Maven in Artifact RegistryRelated ArticleHow we’re helping to reshape the software supply chain ecosystem securelyWe’re sharing some of the security best practices we employ and investments we make in secure software development and supply chain risk …Read Article
Quelle: Google Cloud Platform

Google Dataflow is a Leader in The 2021 Forrester Wave™: Streaming Analytics

We are excited to announce that Google has been named a Leader in The Forrester Wave™: Streaming Analytics, Q2 2021 report. Thank you to our strong community of customers and partners for working with us to deliver a customer focused product. We believe Forrester’s recognition is an acknowledgement of our leadership across an integrated set of capabilities that rely on data to drive transformation. We were also honored to be named a leader in The Forrester Wave™: Cloud Data Warehouse, Q1 2021. Forrester gave Dataflow a score of 5 out of 5 across 12 different criteria and according to the report: “Google Cloud Dataflow has strengths in data sequencing, advanced analytics, performance, and high-availability. Google Dataflow’s sweet spot is for enterprises that have a preponderance of real-time data generated on Google Cloud Platform or wish to simplify all data processing by using a single platform that unifies both streaming and batch jobs.” Harnessing the power of real-time dataThe speed with which businesses are able to respond to change is the difference between those that successfully navigate the future and those that get left behind. In order to accelerate their digital transformation, reimagine their business and leverage the power of real-time data,  today’s data leaders require a streaming analytics platform that provides both depth and breadth.  Cloud Pub/Sub and Cloud Dataflow, based on more than a decade of experience in internet scale systems for Google’s own needs, provide customers with a reliable, scalable, performant platform. In addition, we’ve designed these products for ease of use to make streaming analytics accessible to more users, which is why customers such as Sky and others from across all industries use Dataflow to run streaming analytics workloads.5 out of 5 across key streaming analytics criteriaWhile Forrester gave Dataflow a score of 5 out of 5 in 12 criteria, the product achieved the highest possible scores in areas that are top of mind for our customers.We continue to be focused on solving problems that matter to you. For example, just in the last month we announced Dataflow Prime and  Auto Sharding for BigQuery – two new auto tuning capabilities that bring efficiency and simplicity to your streaming pipelines. Dataflow achieves highest score possible in strategy With Google, organizations gain an industry leading product and a partner that has the vision and strategy to help you tackle new business challenges and provide delightful experiences to your customers.In summary, we are honored to be a Leader in The Forrester Wave™, Streaming Analytics, and look forward to continuing to innovate and partner with you on your digital transformation journey. Download the full report: The Forrester Wave™: Streaming Analytics, Q2 2021 and check out these smart analytics reference patterns. To learn more about Dataflow, visit our website and get to know the product by taking an interactive tutorial. You can also watch recordings from the Data Cloud Summit event (May 2021), where we provided an in-depth view of new product innovations in Dataflow and other data analytics products.Related ArticleGartner 2020 Magic Quadrant for Cloud Database Management Systems names Google a LeaderGartner’s first-ever database management systems (DBMS) Magic Quadrant (MQ) names Google Cloud a Leader.Read Article
Quelle: Google Cloud Platform

Amazon Location Service ist jetzt allgemein verfügbar

AWS kündigt heute Amazon Location Service an, einen vollständig verwalteten Service, der Entwicklern dabei hilft, ihren Anwendungen einfach und sicher Karten, Points of Interest, Geocodierung, Routing, Tracking und Geofencing hinzuzufügen, ohne Kompromisse bei Datensicherheit, Datenschutz der Benutzer oder Kosten einzugehen. Mit Amazon Location Service behalten Sie die Kontrolle über Ihre Standortdaten, schützen Ihre Privatsphäre und reduzieren Unternehmenssicherheitsrisiken. Amazon Location Service bietet eine konsistente API für alle hochwertigen LBS-Datenanbieter (Esri und HERE), die alle über eine AWS-Konsole verwaltet werden.
Quelle: aws.amazon.com

AWS-Lösungsimplementierungen – AWS MLOps Framework fügt Unterstützung für mehrere Konten hinzu, um die Governance und Sicherheit von ML-Arbeitslasten zu verbessern

AWS-Lösungen hat das AWS MLOps Framework aktualisiert, eine AWS-Lösungensimplementierung, die den Pipeline-Bereitstellungsprozess rationalisiert und bewährte Methoden für die Architektur bei der Produktion von Modellen für Machine Learning (ML) durchsetzt. Diese Lösung adressiert häufige betriebliche Probleme, mit denen sich Kunden bei der Einführung mehrerer ML-Workflow-Automatisierungstools konfrontiert sehen.
Quelle: aws.amazon.com

Neue Verwaltungsfunktionen für LoRaWAN-Gateways sind nun allgemein für AWS IoT Core for LoRaWAN verfügbar

Mit AWS IoT Core for LoRaWAN können Kunden ein privates LoRaWAN-Netzwerk einrichten, ohne einen LoRaWAN-Netzwerkserver (LNS) zu betreiben, indem sie ihre eigenen LoRaWAN-Geräte und -Gateways direkt mit der AWS Cloud verbinden. AWS IoT Core for LoRaWAN unterstützt jetzt drei neue Funktionen für die Verwaltung von LoRaWAN-Gateways im großen Maßstab. Mit diesen neuen Funktionen können Sie den Gateway-Verbindungsstatus abfragen, die Gateway-Konfiguration mit den gewünschten Frequenzunterbändern für die Geräte-zu-Gateway-Kommunikation (Uplink) anpassen und Nachrichten am Gateway lokal filtern, um die Kosten für die Gateway-Backhaul-Konnektivität zu kontrollieren.
Quelle: aws.amazon.com