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Visualize and document your cloud and on-premises environments, in just a few clicks. One Tool to Rule Them All. Learn more. A clear and up-to-date view. On-premises and cloud environments. Certified Audit Report.This article is the second part of a multi-part series that discusses hybrid and multi-cloud deployments, architecture patterns, and network topologies.
This part explores common hybrid and multi-cloud architecture patterns. The article describes which scenarios these patterns are best suited for, and provides best practices for implementing them by using Google Cloud.
Every enterprise has a unique portfolio of application workloads that place requirements and constraints on the architecture of a hybrid or multi-cloud setup. Although you must design and tailor your architecture to meet these constraints and requirements, you can rely on some common patterns.
Architecture: Scalable commerce workloads using microservices
Patterns that rely on a distributed deployment of applications. The aim of these patterns is to run an application in the computing environment that suits it best, capitalizing on the different properties and characteristics of computing environments. Patterns that are based on redundant deployments of applications. In these patterns, you deploy the same applications in multiple computing environments, with the aim of increasing capacity or resiliency.
When you migrate from a classic computing environment to a hybrid or multi-cloud setup, consider the constraints that existing applications impose. You also want to capitalize on the unique capabilities that each computing environment offers. These distributed patterns aim to strike a thoughtful balance between both objectives. Frontend applications are directly exposed to end users or devices.
As a result, these applications are often performance sensitive and might be subject to frequent releases as new features and improvements are developed. Because they usually rely on backend applications to store and manage data, frontend applications are often stateless or manage only small volumes of data.
Backend applications usually focus on managing data. Key challenges for such applications include handling data in volume and securing it appropriately.
New releases of backend applications tend to be less frequent than for frontend applications. The idea of the tiered hybrid pattern is to focus first on deploying existing frontend applications to the public cloud.
In this pattern, you reuse existing backend applications that stay in their private computing environment. You migrate frontend applications case by case. Over time, the fraction of applications that you deploy to the cloud increases, to the point where you might consider also moving backend applications to the public cloud. Frontend applications depend on backends and occasionally on other frontends, but backends do not depend on frontends.
Therefore, isolating and migrating frontend applications tends to be less complex than migrating backend applications, which might have complex dependencies.
Because frontend applications often are stateless or do not manage data by themselves, they tend to be less challenging to migrate. Deploying existing or newly developed frontend applications to the public cloud offers several key advantages:.This article describes a series of architectural approaches that you can use to build scalable commerce platforms using microservices in Google Cloud. Retail commerce workloads require a number of cloud-native features in order to meet demand from an ever-growing number of consumer devices and platforms:.
Microservices are a good fit for all of these requirements. Individual microservices can be deployed and scaled independently of one another, which lets you rapidly deliver new features and functionality.
Services can be small, modular, loosely coupled, and organized around your specific business capabilities and needs. Microservices can leverage service discovery and use simple mechanisms such as HTTP for easy connectivity from a wide variety of devices. For retail commerce workloads, you organize microservices into the discrete functions that are needed to build the customer-facing user experience.
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For example, you might have a product metadata service that retrieves and optionally, caches metadata for a particular product. Or you might have a product pricing service that retrieves the price of a product for a given customer. The customer-facing user experience in your retail commerce workloads typically includes responsive web applications often delivered as Progressive Web Apps and optionally as native mobile applications.
In combination with the backend architecture shown previously, you build your applications by assembling multiple frontend components that correspond to and communicate with backend APIs and services. Each category of data can be mapped to a Google Cloud storage mechanism, as shown in the following table. In product catalogs, products have a set of attributes—name, description, and so on. But as your product catalog diversity grows, the number of distinct attributes grows as well.
Each new category of products has its own set of attributes that can be used to search or filter on, such as item sizes and colors, or item type and model. For product catalogs, the most appropriate storage option is therefore a NoSQL document-oriented database, which has a flexible schema and can store per-category or per-object attributes.
Datastore is a fully-managed NoSQL document-oriented database and provides support for this use case. In Datastore, you store objects as entities, and each entity supports nested key-value pairs, similar to the structure of JSON. Datastore is available within multiple Google Cloud regions and runs as an always-on service.
Every product in a product catalog can have first-party images or videos, and might also have customer-supplied images or videos.
You can store these sorts of assets in a scalable object storage system, capable of serving those assets directly to web applications or mobile applications. Cloud Storage is a managed object storage service that can serve data across multiple regions. Cloud Storage offers different tiers of data access and availability depending on your needs. For high performance, Cloud CDN leverages Google's globally distributed edge locations to accelerate delivery for content served from Cloud Storage.
This ensures that your static assets are located as close as possible to end users in order to minimize download latency. Shopper profiles have a consistent set of attributes and are often multidimensional. For example, some of your customers might have multiple shipping addresses or multiple payment methods, each with their own billing address.
You can store shopper profiles in relational databases using multiple tables. However, you might also use NoSQL document-oriented databases to store customer profiles. This lets your shopper profiles be stored as single, rich objects that hold all of the data for a given customer.
Datastore is a fully-managed NoSQL document-oriented database that can provide support for this use case. Product ratings and reviews left by customers consist of relatively simple data sets, and you can persist this information using different storage mechanisms.
It's typical to use relational schemas containing fields such as product ID, customer ID, rating value, and review text.Why Google close Groundbreaking solutions. Transformative know-how. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success.
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Hybrid and Multi-Cloud Architecture Patterns
View short tutorials to help you get started. Deploy ready-to-go solutions in a few clicks. Enroll in on-demand or classroom training. Get Help from an Expert Consulting. Jump-start your project with help from Google.Migrate for Compute Engine decouples VMs from their storage and introduces capabilities that ease your move to Google Cloud, including:.
Resiliency: Migrate for Compute Engine Cloud Extensions use an active-passive configuration across two availability zones. Data is written in both zones and then asynchronously transferred back on premises to reduce the risk of data loss. Optionally, writes can persist solely in the cloud for development and testing. The recovery point objective RPO is the maximum acceptable length of time during which data might be lost due to an incident.
On the left is the corporate data center on-premisesand on the right is a Google Cloud Virtual Private Cloud. It orchestrates migration operations and serves the web UI.
Once you launch the Velostrata Manager and connect it to the Velostrata Backend, create Cloud Extensionswhich manage storage migration.
In general, the Velostrata Manager and Cloud Extension require inbound access from the corporate data center to Google Cloud. Subnets where Cloud Extension nodes are deployed must allow outbound access to certain services, such as Cloud Storage and Google Cloud's operations suite Monitoring. These instances run only when data is being migrated. For migrations from Azure to Google Cloud, the Velostrata Manager launches Importer instances on Azure as needed to migrate Azure source workloads and their disks.
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Why Google close Groundbreaking solutions. Transformative know-how. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success.
Learn more. Keep your data secure and compliant. Scale with open, flexible technology. Build on the same infrastructure Google uses. Customer stories.
Learn how businesses use Google Cloud. Tap into our global ecosystem of cloud experts.Google Cloud Platform is fast and high-performance cloud infrastructure.
Google Cloud Platform resources contain physical resources, such as computers and hard disk drives, and also virtual resources, such as virtual machines. All resources are located at Google worldwide data centers.
Google Cloud Platform offers a number of tools and services and gives customers the possibility to use the Google cloud infrastructure to develop and optimize websites or applications on a Cloud Platform. Developers often use GCP Architecture diagrams to visualize and document the architecture of applications based on Google Cloud platform services.
Displaying a Google Cloud infrastructure actually requires large amounts of attention to detail. Every element of technology has to be addressed: cloud computing data storage, backup, and recovery, or cloud applications; the complete list is amazing. It includes the icons of cloud storage, databases, GCP services, cloud developer and management tools, icons related to identification and security, machine learning, networking, and many others.
This solution contains a set of symbols and templates to visually represent features of and systems that give developers the ability to create their own applications running in a Google cloud infrastructure. Result: Using the ConceptDraw collection of library objects and templates makes much easier the work on documenting the GCP architecture.
Select the Google Cloud Platform solution on the solutions panel and click the libraries preview to reveal them on the Library panel. Add the Google Cloud architecture elements to the diagram. Click on a library object and then click on the document, at the place you want it to be placed. Add necessary text using the Text tool. Show the direction of data flow and interactions between objects. Use Smart Connector.
Computer and Network. Diagrams area. Solutions Free Premium Samples. Video Room Products. Ready To Buy Buy Online. CS Odessa About Us.Please pardon our dust. We are currently in the process of updating our product icon set. During this transition period, we will not be updating the Powerpoint, Draw. We will update all resources once our new product icon set is ready for release.
Why Google close Groundbreaking solutions. Transformative know-how. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success. Learn more. Keep your data secure and compliant. Scale with open, flexible technology. Build on the same infrastructure Google uses.
Customer stories. Learn how businesses use Google Cloud. Tap into our global ecosystem of cloud experts. Read the latest stories and product updates. Join events and learn more about Google Cloud. Artificial Intelligence. By industry Retail. See all solutions.
Developer Tools. More Cloud Products G Suite. Gmail, Docs, Drive, Hangouts, and more. Build with real-time, comprehensive data.
Intelligent devices, OS, and business apps. Contact sales. Google Cloud Platform Overview. Pay only for what you use with no lock-in. Pricing details on each GCP product. Try GCP Free. Resources to Start on Your Own Quickstarts.