top of page

Amateur Kit Creatorsグループ

公開·31名のメンバー
Bogdan Gavrilov
Bogdan Gavrilov

Hybrid Cloud Example



A hybrid cloud integrates infrastructure components on-premises, private, and public cloud sources into one centralized, distributed computing environment. It enables you to manage and orchestrate traditional and cloud native workloads across various infrastructure components, allowing you to use the most suitable resource for each scenario while centralizing management.




hybrid cloud example


Download Zip: https://www.google.com/url?q=https%3A%2F%2Fgohhs.com%2F2ugpXN&sa=D&sntz=1&usg=AOvVaw3fPlsTnMifr6rcJEYchBH4



A hybrid multi-cloud lets you choose the most suitable cloud offering for each application and workload and freely shift workloads between private and public clouds as needed. You can also leverage this model to leverage the most cost-effective and efficient cloud resources to improve performance and reduce cloud costs.


Hybrid cloud architectures help minimize security risks by restricting private data exposure to public cloud environments. These architectures typically include private data centers or clouds and public infrastructure-as-a-service (IaaS) platforms. You access the hybrid cloud platform via a secure network, leveraging a local area network (LAN) and a wide area network (WAN).


When you adopt a hybrid cloud architecture, you might extend the functionalities of an IaaS solution to your private cloud. You must ensure that your private and public cloud environments are compatible and can communicate with each other. You might need to custom-build the private cloud to maximize compatibility and enable an effective hybrid deployment.


IaaS providers like Microsoft Azure and Google Cloud platform provide APIs to help you connect your private resources to the public cloud infrastructure and enable interoperability between cloud services. You might also use a hypervisor to generate virtual machines (VMs) and connect them to the public cloud through a software layer that orchestrates between the different cloud environments.


In a multi-cloud deployment, you use various public cloud resources and services, usually from different cloud providers. You might use different clouds for specific tasks to leverage the optimal cloud service for each task.


Multi-cloud strategies acknowledge that different cloud providers offer different advantages, which may be suited to the varying needs of each department in an organization. For example, your marketing team may require different functionalities than your development team, and each may benefit from a different cloud service.


You may also choose a multi-cloud strategy to prevent vendor lock-in (overreliance on a single provider) or decrease costs by leveraging cheaper alternatives for specific services. Having multiple clouds helps ensure greater flexibility, allowing you to modify your deployment and add or change cloud environments.


Another major difference is that a hybrid cloud combines the private and public infrastructure and services for a unified purpose. In a multi-cloud, each cloud may serve a different need and enable different tasks. In a hybrid cloud, all the components work together. The advantage of this integration is that it enables processes and data from different tasks (and teams) to intersect in a large, unified project. On the other hand, multi-cloud environments usually have a silo effect, with a separate cloud for each team or usage.


A traditional hybrid cloud connects a private cloud to a public cloud, typically involving large, complex middleware iterations. You might build the private cloud yourself or leverage prepackaged infrastructure. You could separately select a public cloud environment to link to your private cloud.


You may need robust middleware to enable the transfer of large volumes of resources between the public and private environments. Alternatively, many cloud providers offer pre-configured VPNs to handle this communication. Popular subscription packages that provide a VPN include:


Today, most hybrid clouds use a different architecture. Rather than directly connecting the private and public environments, you can ensure that the apps running in separate environments are portable. This approach is akin to building a versatile vehicle that can operate in multiple environments instead of building a fixed road (i.e., middleware) that provides limited flexibility.


Traditional hybrid cloud architectures are much more cumbersome to maintain, while the modern approach achieves the same end by focusing on the applications themselves. Typically, you develop an application as a collection of independent, loosely coupled services, running a specific operating system across all environments and using a central platform to manage all deployments.


This approach lets you extend apps to multiple environments, for example, by running the same operating system (i.e., Linux) everywhere, using cloud native application development and deployment practices, and using an orchestration platform (i.e., Kubernetes) to manage the portable applications.


The interconnectivity of a modern hybrid cloud allows your teams to adopt DevOps practices and work together closely. This approach enables cross-team collaboration and environment integration by using containers and microservices.


A major issue when adopting a hybrid cloud deployment is compatibility between legacy applications and new services and environments. Some applications may work well with one system but not another, making migration to the cloud challenging. Older applications are not always suited to the cloud, even if they perform critical functions.


For example, you might use applications built using Java or .NET, typically with a monolithic architecture. The design of legacy applications typically expects to run on-premises, with all network dependencies and connections built-in. Building modern cloud apps typically involves using loosely coupled microservices, which help minimize latency and downtime.


However, it may be prohibitively expensive or time-consuming to rewrite your legacy applications for the cloud. For critical applications, a rewrite may be complex and specialized. If you move these applications to a hybrid cloud environment, you must ensure the cloud connections have low latency.


Most companies are adopting a multi-cloud approach in addition to a hybrid cloud. The use of multiple clouds presents a challenge because each cloud might have a different management interface or vendor-specific APIs. Different providers offer different cloud services with varying functions, pricing models, and IT skill requirements.


Therefore, you might choose to setup a dedicated hybrid cloud implementation for each purpose, so most applications run on a single cloud environment. However, if you cannot use all the applications across all environments, you need to handle a more complex management strategy with different protection measures to secure each implementation separately.


Another significant challenge for hybrid cloud deployments is maintaining compliance with regulatory requirements and industry standards. Even if you use a secure cloud provider, you need to ensure your organization complies with laws and regulations like GDPR, HIPAA, and PCI DSS. Hybrid cloud implementations add a layer of complexity, requiring you to adopt more security measures.


However, some cloud providers cannot support your data locality restrictions. In such cases, you might adopt a hybrid cloud strategy that keeps your data in your local database while outsourcing the processing to a cloud service. This type of deployment requires low-latency connections.


Hybrid cloud management is the process by which an organization controls multiple cloud deployment. It is often implemented through a third-party management platform that provides one interface to control multiple clouds. Administrators can view and control assets in both private and public clouds through a single UI.


Most public cloud service providers offer hybrid cloud management solutions. By linking their own infrastructure and services with those of other vendors, they allow cloud customers to control multiple platforms in a unified manner. This is not difficult to implement in practice, because both private and public clouds are based on the same virtualization technology.


Hybrid infrastructures can be challenging to manage but storage need not be a concern with a solution like the Cloudian HyperStore, a scalable, on-premise object storage platform with a 100% S3 native API. HyperStore lets you easily manage your data in public and private storage and can be integrated with a variety of cloud and third-party services, including migration services.


If you work in a highly regulated sector like healthcare, finances, or government, hybrid cloud infrastructure may present additional considerations. Know how to check your distributed environments to make sure that they are compliant; how to implement custom or regulatory security baselines; and how to prepare for security audits.


Hybrid cloud environments often include products and software from multiple vendors in a complicated ecosystem. Know how your vendors test and manage their software and products. Understand when and how your vendors have inspected source code, how and which implementation guidelines they follow, and how and when vendors can provide updates and patches.


Technical controls are protections designed into IT systems themselves, such as encryption, network authentication, and management software. Many of the strongest security tools for hybrid cloud are technical controls.


In the case of shared resources like a public cloud, you may have Service Level Agreements (SLAs) with your cloud provider that define which physical security standards will be met. For example, some public cloud providers have arrangements with government clients to restrict which personnel have access to the physical hardware.


Encrypt root volumes without manually entering your passwords. If you have built a highly automated cloud environment, build upon that work with automated encryption. If you are using Linux, try the Network Bound Disk Encryption (NBDE), which works on both physical and virtual machines. Bonus: make TPM part of the NBDE and provide two layers of security (the NMDE will help protect networked environments, while the TPM will work on premises). 041b061a72


グループについて

グループへようこそ!他のメンバーと交流したり、最新情報を入手したり、動画をシェアすることができます。

メンバー

bottom of page