Januar 2022 - Seite 25 von 45 - Cloud Computing Köln

Editor’s note: Learn from Mohamed Nazeemudeen, Director of software engineering at Macy’s, about Macy’s strategy regarding choosing cloud databases and how Macy’s pricing services leverage Cloud Bigtable under the hood. You can also find Mohamed’s Google Cloud Next ‘21 session on this topic on YouTube.At Macy’s we lead with our aim of fostering memorable shopping experiences for our customers. Our transition from on-premises operations to the Google Cloud Platform (GCP) cloud-first managed service databases is an extension of this dedication. Our mutual commitment to innovation in customer service led to the acceleration of our digital transition at an uncertain time for our industry and our company. As one of the nation’s premier omnichannel fashion retailers, Macy’s has 727 stores and operates in 43 states in the US. By leveraging Google’s databases, we’ve emerged from the COVID-19 pandemic with newfound scalability, flexibility, customer growth, and a vision that consistently challenges and inspires us to enhance the customer experience. Through our Google partnership, we succeeded at bolstering our e-commerce platform, optimizing internal operational efficiency, and enhancing every critical component of our services by choosing the appropriate database tools. How Macy’s leveraged GCP services to optimize efficiencyCommon Services is a strategic initiative at Macy’s that leverages GCP-managed services. The goal of Common Services is to provide a single source of truth for all internal clients of Macy’s selling channels. This centralization of our operations allows us to provide an integrated customer experience across the various channels of our company (digital, stores, enterprise, call centers, etc.).How Bigtable and Spanner support pricing and inventory managementThe SLA for Common Services is a 99.99% uptime, with cross-regional availability, supporting more than tens of thousands of queries per second at single digit latency at the 95th percentile. We decided to use GCP-managed services to lower our operational overhead.To store data from our catalog and support our inventory management, we leveraged Spanner. Our catalog service requires low latency and is tolerant to slightly stale data, so we used stale reads from Spanner with about 10 seconds exact staleness to keep latency low (single digit).We utilized Bigtable on Google Cloud as the backing database for our pricing system as it entails a very intensive workload and is highly sensitive to latency. BigTable allows us to get the information we need, with latency under 10ms at p99, regardless of the scale and size of the data. Our access pattern entails finding an item’s ticket price based on a given division, location, and the universal price code (UPC) which identifies the item. The system on BigTable supports a time that spans from multiple days in the past to multiple days in the future.We have millions of UPCs and more are added every day. With 700+ stores, and potentially multiple price points per item, we create billions of data points. Our calculations, therefore, show that we will require dozens of terabytes of storage. The storage available on GCP supports all our extensive storage needs while optimizing speed, functionality, and efficiency.How we designed our BigTable schemaWe wanted to access the information with one row key lookup to keep the overall latency low. For the row key, we use the location and the UPC. In order to avoid key range scans, and to be mindful of storage requirements, for the timestamp price values, we chose to use a protobuf inside a cell. Our performance testing showed that the cost of deserializing the protobuf was negligible and with GCP, our latency remained in single digit milliseconds.The Cloud Bigtable schema design for the price common serviceOur price systems involve heavy batch writes while processing price adjustment instructions, we have isolated the read and write workloads using Bigtable app profiles. The app profile is configured with multi-cluster routing so that Bigtable does the high availability for us.Our ability to enhance the performance of our operations and deliver a better experience for our customers is a direct reflection of GCP-managed services. The success of our partnership with Google reflects a mutual commitment to embracing innovation and imagination. We enjoyed this opportunity to expand Macy’s reach and streamline the shopping experience for our customers. We are excited to bring a new standard of personalization, accessibility, and comfort to today’s retail industry.
Quelle: Google Cloud Platform

14. Januar 2022

da Agency

Quantum Metric explores retail big data use cases on BigQuery

Editor’s note: To kick off the new year, we invited partners from across our retail ecosystem to share stories, best practices, and tips and tricks on how they are helping retailers transform during a time that has seen tremendous change. The original version of this blog was published by Quantum Metric. Please enjoy this updated entry from our partner.If you had access to 100% of the behavioral data on the visitors to your digital properties, what would you change? The key to any digital intelligence platform is adoption. For this to happen, you need data – big data. Our most advanced customers are using Quantum Metric data outside the walls of the UI and exploring big data use cases for experience data.As such, Quantum Metric is built on Google Cloud BigQuery which enables our customers, many of which are retailers, to have access to their raw data. They can leverage this data directly in BigQuery or stream it to any data lake, cloud, or other system of their choosing. Through the Quantum Metric and BigQuery integration, customers can start leveraging experience data in more ways than you might realize. Let’s explore three ways enterprises are leveraging Quantum Metric data in BigQuery to enhance the customer experience. Use Case 1: Retargeting consumers when they don’t complete an online purchaseFirst, we look at retargeting. Often, when a shopping cart is abandoned or an error occurs during a consumer’s online shopping experience, you may not know why the situation occurred nor how to fix it in real-time. With Quantum Metric data in Google BigQuery, you can see user behavior, including what happens when a cohort of users don’t convert. As a result, enterprises can leverage those insights to retarget and win the consumer over. Use Case 2: Enable real-time decision making with a customer data platformNext, consider how you can inform a customer data platform (CDP) to enable real-time decision making – the holy grail of data analytics. Imagine you are an airline undergoing digital transformation. Most airlines offer loyalty status or programs, and this program is usually built in tandem with a CDP, which allows airlines to get a 360-degree view of their customer from multiple sources of data and from different systems. With Quantum Metric on Google Cloud, you can combine customer data with experience data, empowering you to better understand how users are experiencing your products, applications or services, and enabling you to take action as needed in real-time.For example, you can see when loyalty members are showing traits of frustration and deploy a rescue via chat, or even trigger a call from a special support agent. You can also send follow-up offers like promos to drive frustrated customers back to your website. The combined context of behavior data and customer loyalty status data allows you to be more pragmatic and effective with your resources. This means taking actions that rescue frustrated customers and drive conversion rates.Use Case 3: Developing impactful personalizationThe above CDP example is just the beginning of what you can achieve with the Quantum Metric and BigQuery integration. To develop truly impactful personalization programs, you need a joint dataset that is informed by real-time behavioral data. With Quantum Metric and BigQuery, customers can access real-time behavioral data, such as clicks, view time, and frustrations, which allows you to develop impactful personalized experiences. Let’s think about this through an example. Imagine a large retailer that specializes in selling commodities and needs to perform well on Black Friday. Through the Quantum Metric and BigQuery integration, they have real-time data on product engagement, such as clicks, taps, view time, frustration, and other statistics. When they combine these insights with products available by region and competitive pricing data, they have a recipe for success when it comes to generating sales on Black Friday. With these data insights, retailers can create cohorts of users (by age, device, loyalty status, purchase history, etc.). These cohorts receive personalized product recommendations based on the critical sources of data. These recommendations are compelling for consumers, since they are well priced, popular products that shoppers know are in stock. This approach to personalization will become more important as supply chain inventory challenges continue into 2022.Quantum MetricWith Quantum Metric and BigQuery, you can explore these three big data use cases. The exciting part is, this is just the beginning of what you can accomplish when you combine real-time experience analytics data with critical business systems. Read the companion piece to learn more about how companies are making the most of Quantum Metric and BigQuery today.Related ArticleFaster time to value with Data Analytics Design PatternsDesign Patterns provide customers with tools they need to accelerate time to value and implement common use cases so they can focus on in…Read Article
Quelle: Google Cloud Platform

14. Januar 2022

da Agency

10 questions to help boards safely maximize cloud opportunities

The accelerating pursuit of cloud-enabled digital transformations brings new growth opportunities to organizations, but also raises new challenges. To ensure that they can lock in newfound agility, quality improvements, and marketplace relevance, boards of directors must prioritize safe, secure, and compliant adoption processes that support this new technological environment. The adoption of cloud at scale by a large enterprise requires the orchestration of a number of significant activities, including:Rethinking how strategic outcomes leverage technology, and how to enable those outcomes by changing how software is designed, delivered, managed across the organization. Refactoring security, controls, and risk governance processes to ensure that the organization stays within its risk appetite and in compliance with regulation during and following the transformation.Implementing new organizational and operating models to empower a broad and deep skills and capabilities uplift, and fostering the right culture for success.As such, the organization across all lines of defense has significant work to do. The board of directors plays a key role in overseeing and supporting management on this journey, and our new paper is designed to provide a framework and handbook for boards of directors in that position. We provide a summary of our recommendations, in addition to a more detailed handbook. This paper complements two papers we published in 2021: The CISO’s Guide to Cloud Security Transformation, and Risk Governance of Digital Transformation in the Cloud, which is a detailed guide for chief risk officers, chief compliance officers, and heads of internal audit.We have identified 10 questions that we believe help a board of directors in a structured, meaningful discussion with their organization and its approach to cloud. We’ve included additional points with each, as examples of what a good approach could look like, and potential red flags that might indicate all is not well with the program. At a high level, those questions are:How is the use of cloud technology being governed within the organization? Is clear accountability assigned and is there clarity of responsibility in decision making structures?How well does the use of cloud technology align with, and support, the technology and data strategy for the organization, and, ideally, the overarching business strategy, in order that the cloud approach can be tailored to achieve those right outcomes?Is there a clear technical and architectural approach for the use of cloud, that incorporates the controls necessary to ensure that infrastructure and applications are deployed and maintained in a secure state? Has a skills and capabilities assessment been conducted, in order to determine what investments are needed across the organization?How is the organization structure and operating model evolving to both fully leverage cloud, but also to increase the likelihood of a secure and compliant adoption? How are risk and control frameworks being adjusted, with an emphasis on understanding how the organization’s risk profile is changing and how the organization is staying within risk appetite? How are independent risk and audit functions adjusting their approach in light of the organization’s adoption of cloud?How are regulators and other authorities being engaged, in order to keep them informed and abreast of the organization’s strategy and of the plans for the migration of specific business processes and data sets?How is the organization prioritizing resourcing to enable the adoption of cloud, but also to maintain adequate focus on managing existing and legacy technologies? Is the organization consuming and adopting the cloud provider’s set of best practices and leveraging the lessons the cloud provider will have learned from their other customers?Our conclusions in this whitepaper have been guided by Google’s years of leading and innovating in cloud security and risk management, and the experience that Google Cloud experts have gained from their previous roles in risk and control functions in large enterprises. The board of directors plays a critical role in overseeing any organization’s cloud-enabled digital transformation. We recommend a structured approval to that oversight and asking the questions we pose in this whitepaper. We are excited to collaborate with you on the risk governance of your cloud transformation.
Quelle: Google Cloud Platform

14. Januar 2022

da Agency

Introducing SSO for Docker Business

Single Sign-on (SSO) for Docker is now live! By enabling SSO, large organizations and enterprises can easily automate the onboarding and management of Docker users at scale. Users can authenticate using their organization’s standard identity provider (IdP). SSO is one of our most widely requested features, so we’re excited to ship this to our Docker Business customers.

Want to enable SSO for your organization? Here are the top things you need to know.

With SSO enabled, users can authenticate using their organization’s standard IdP.

How does SSO work in Docker?

SSO allows users to authenticate to Docker Hub and Docker Desktop using their organization’s standard identity provider (IdP) to access Docker. This will not only make it easier for new users to quickly get started with Docker using their organization-provided email, but it will also help large organizations scale their use of Docker in a more manageable and secure way. Docker currently supports SAML 2.0 and Azure Active Directory IdPs for easy implementation. Once SSO is enabled and configured for your organization, users must sign in to Docker Hub or Docker Desktop to initiate the SSO authentication process.

How is SSO enabled?

SSO is available to organizations with an active Docker Business subscription. This means that customers under the other subscription tiers (e.g., Team) must first upgrade to a Docker Business account. Click here to learn how to upgrade your subscription. Customers with a Docker Business subscription, can visit our documentation for additional information on the enablement process.

Note: When SSO is enabled, logging into Docker via partner products (e.g., VS Code, Jfrog, etc.) will require Personal Access Tokens (PATs).

How are users managed?

Users are managed through organizations in Docker Hub. To configure SSO, each user must already have an existing account in their organization’s IdP. When a user signs into Docker for the first time using their domain email address, they will be automatically added to the organization after the authentication is successful. All users must authenticate using the email domain specified during SSO setup (i.e., company email address). Admins can continue inviting new users to the organization using the Invite Member option in Docker Hub.

How do we convert existing Docker users from non-SSO to SSO?

To convert existing Docker users from a non-SSO account to SSO, admins must verify:

Users have a company email address and account in the IdPUsers have the latest version of Docker Desktop (currently version 4.4.2) installed on their machinesUsers have created a Personal Access Token (PAT) to replace their passwords to allow them to log in through the Docker CLIAll CI/CD pipeline automation systems have replaced their passwords with PATsUsers with email addresses that include the “+” symbol are either added to your IdP or otherwise updated to not include the “+” symbol.

For additional requirements, please refer to our documentation.

What impact can be expected when onboarding users to SSO?

SSO can be enforced for your users once the steps (summarized above and in our documentation) are completed. After SSO is enforced, users can begin signing in using their organization-provided email and password, and then it’s business as usual. Please note that for users logging into Docker directly from the Docker CLI or via partner products (e.g., VS Code, Jfrog, etc.), Personal Access Tokens (PATs) may be required.

For more guidance on how to roll out SSO within your organization, visit our documentation for more information.

Consider making the move today for access to SSO for Docker and other premier features for management and security at scale. Download our latest whitepaper and watch our webinar on-demand to learn more. You can also visit our public roadmap where you can leave feedback on what you want to see next for user management.

DockerCon Live 2022

Join us for DockerCon Live 2022 on Tuesday, May 10. DockerCon Live is a free, one day virtual event that is a unique experience for developers and development teams who are building the next generation of modern applications. If you want to learn about how to go from code to cloud fast and how to solve your development challenges, DockerCon Live 2022 offers engaging live content to help you build, share and run your applications. Register today at https://www.docker.com/dockercon/
The post Introducing SSO for Docker Business appeared first on Docker Blog.
Quelle: https://blog.docker.com/feed/

Contractors who moderate Spanish-language content on Facebook said they’ve been forced to come to the office during COVID surges.