An Intro to Building and Optimizing a Hybrid Cloud on AWS
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An Intro to Building and Optimizing a Hybrid Cloud on AWS, hosted by AWS Solutions Architect, Samir Kadoo will help you discover the best hybrid cloud uses cases for your organization, and AWS services that enable hybrid cloud environments, including VMware Cloud on AWS and AWS Outposts. In addition, Samir demonstratea the migration of virtual machines from on-premises to VMware Cloud on AWS utilizing VMware vMotion.
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An Intro to Building and Optimizing a Hybrid Cloud on AWS
- 1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Samir Kadoo, Partner Solutions Architect, AWS 05.14.19 An Introduction to Building and Optimizing a Hybrid Cloud on AWS
- 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Hybrid Cloud Market Overview Hybrid Cloud Benefits and Common UseCases Introduction toVMware Cloud on AWS Introduction to AWS Outposts Demo Resources & Questions Agenda 2019 TM
- 3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Hybrid Cloud Market Overview 20192019
- 4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Hybrid Cloud Market Overview 2019 Source: IDC, Rightscale, 451 Research, Forrester, Markets & Markets Organizations have a hybrid cloud deployments 71% Workloads remain on- premises 54% Enterprise workloads remain on-premises 75% 2019
- 5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Source: 451 Research 54.6% 39.6% 12.7% 14.1% 7.80% 9.2% 9.8% 15.9% 15% 21.2% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% 120.0% 2017 2019 Non-Cloud On-premises Private Cloud Hosted Private Cloud Infrastructure-as-a-Service (IaaS) Software-as-a-Service (SaaS) Hybrid Cloud Market Overview – Workload Shift Overall Cloud Usage: • 45% of workloads in 2017 • 60% of workloads today 2019
- 6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Hybrid Cloud Market Overview – Challenges Operational Inconsistency New or Mixed Skillsets &Tools MultipleControl & Monitoring Mechanisms MultipleVirtual Machine Formats Security & Governance 2019
- 7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Hybrid Cloud Benefits and Common Use Cases 2019
- 8. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Hybrid Cloud Benefits Accelerate Innovation Improve Business Continuity Scale Seamlessly Optimize Costs Extend to the Cloud 2019
- 9. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Common Customer Use Cases – First Workloads kindle Backup,Archive and Disaster Recovery Application Development andTesting Web Servers HR, Payroll, Active Directory, and ProductivityApplications
- 10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Common Customer Use Cases – Next Workloads Database and DataWarehouse Business Intelligence andAnalytics EnterpriseApplications such as ERP High Performance Computing (HPC) kindle Case Study: Learn about the benefits of migrating ERP workloads to the cloud from the Portland Public Schools “We discovered that end users had become so used to poor ERP system performance that they had simply stopped making formal complaints. After some investigation we determined that the underlying hardware was going to require a $500K upgrade. By making use of AWS EC2 instances, we migrated our systems out to AWS resulting in a performance increase of 20 to 70%, and extending the life of the ERP investment by several years. This has allowed us to move away from an emergency replacement and engage a more thoughtful and thorough investigation and analysis of which system we would like to use next.” - Travis Paakki, Senior Director, Department of Technology, Portland Public Schools
- 11. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Introduction to VMware Cloud on AWS 2019
- 12. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Introduction to VMware Cloud on AWS The Solution: 2019 VMware Cloud on AWS, an integrated cloud offering jointly developed by AWS and VMware, delivers a highly scalable, secure, and innovative service that allows organizations to seamlessly migrate and extend their on-premises VMware vSphere-based environments to the AWS Cloud running on next-generation Amazon Elastic Compute Cloud (Amazon EC2) bare metal infrastructure. Benefits: Native AWS Services: Leverage existingVMware investments Achieve operational consistency Enterprise-grade capabilities Deploy a hybrid cloud without complexity • Amazon Elastic Compute Cloud (Amazon EC2) bare metal infrastructure. • Amazon Elastic Block Store (Amazon EBS) • AWSWeb Application Firewall (AWSWAF) • AWS Lambda • Amazon CloudFront (CDN) • Amazon Aurora
- 13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 VMware Cloud on AWS – What is it? 2019 Software Defined Data Center AWS Global Infrastructure ESXi NSX vSphere vSAN Compute Bare Metal I3.16XL Equivalent 36 Cores/72 vCPUs 512GiB Memory15TiB* NVMe All-Flash Storage 25Gb ENA Hypervisor ESXi 4 to 32 Host Cluster Maintained by VMware No SSH/Root No VIBs/Plugins Storage vSAN Aggregate Instance Storage All Flash (Capacity/Cache) No EBS/EFS VM Storage Policies Network and Security NSX Logical Networks North/South Firewalling Compute/Management Gateways IPSec Termination NAT vSphere VMware Managed Delegated Permissions Hybrid Linked Mode
- 14. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 VMware Cloud on AWS – Common Use Cases 2019 Customer Chooses and Places Workloads Between On-Premises and AWS Next-Generation Applications Application Modernization Next-Gen App Build Out Enterprise Workloads Application Specific Data Center Wide Infrastructure Refresh Consolidate Migrate Data Center Extension Protect Additional Workloads DR Data Center Replacement Add or Modernize DR solutions Primary Secondary Cloud Migrations Primary A B C D Disaster Recovery Footprint Expansion On-Demand Capacity Test / Dev Expand Maintain
- 15. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 VMware Cloud on AWS – Integration Connectivity 2019 AWS global infrastructure VMware Cloud on AWS Customer data center AWS services vCentervCenter vSAN NSXvSphere Hybrid linked-mode AWS Lambda Amazon S3 Amazon RDS Amazon Kinesis Amazon Redshift Elastic Network Interface VMware vRealize Suite, PowerCLI AWS CloudFormation,CLI On-Prem
- 16. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 VMware Cloud on AWS – RDS on VMware 2019 • Single Pane of Glass for management of DB Fleets • Integration with vSphere Management resources: vCenter Plug-In • Local DB and Full Stack monitoring through vROps • Cloud Monitoring through AWS Cloud Watch Deploy Amazon RDS managed databases in on-premises VMware environments • Fully Managed Databases • Available and Durable • Scalability and Performance • Secure and Compliant
- 17. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 VMware Cloud on AWS – RDS on VMware 2019 VMware vSphere ClusterAWS Region DMZ Connector Connectivity Diagram
- 18. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Introduction to AWS Outposts 2019
- 19. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Introduction to AWS Outposts AWS designed and fully managed infrastructure Deploy on-premises in datacenters or edge locations Run key AWS services locally Native access to full AWS services platform One consistent management plane across on-premises and cloud Choice of AWS orVMware control plane Ideal for low-latency and local data processing 2019
- 20. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 AWS Outposts – Ideal for Low Latency Apps 2019 Financial Services High Performance Analytics Exchange Platforms, Core Banking Real-time Inference Processing Outdoor Sensor Data Content Production & Distribution Lossless Signal Ingestion and Live Event Streaming Legacy Applications Transaction Processing, ERP Applications Industrial Automation Manufacturing, Sensor control, Robotics Low latency Telco Operations Virtual Network Functions
- 21. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Introduction to AWS Outposts – Benefits 2019 Extend AWS on-premises AWS Outposts enable you to develop once and deploy in the AWS cloud or on-premises without having to rewrite your applications.With Outposts, you have the same hardware and software infrastructure and a consistent set of services and tools across your AWS cloud and on-premises. Choice of management planes AWS Outposts allow you to choose the AWS native variant of AWS Outposts or theVMware Cloud on AWS Outposts variant as your management plane. Fully managed AWS Outposts are fully managed and supported by AWS, and AWS automatically manages and updates AWS Outposts as part of its ongoing operations in the public AWS region.You do not have to worry about updating or patching infrastructure. Future-proof infrastructure AWS Outposts allow you to choose from a wide selection of compute, memory, and storage options based on your needs. Outposts can be easily upgraded with the latest hardware and next-generation instances to run all your nativeAWS and VMware applications.
- 22. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.20192019 Getting Started vmc.vmware.com VMware Cloud on AWS Console my.vmware.com credentials Organizations Identity and Access Management Create a new SDDC SDDC Name Specify AWS account Management network CIDR Number of Hosts (4 to 32) AWS Region (Oregon, Virginia, London)
- 23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. IAM Cross Account Role AWS Managed Policy Customer-Owned AWS Account Cloud Formation Template VMware Cloud on AWS SDDC Account Customer IAM UserVMware Cloud Management Services vmc.vmware.com Connecting to an AWS Account 2019
- 24. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AccessingVMware Cloud on AWS Add and remove ESXi hosts Console user and role management Firewall configuration EIP and NAT configuration VPN connectivity Hybrid Linked-Mode Logical network configuration Virtual machine administration VM storage policies vmc.vmware.com vSphere H5 Web Client 2019
- 25. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AccessingVMware Cloud Demo
- 26. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Resources & Questions 2019
- 27. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.20192019 Resources VMware Cloud on AWS Home: https://cloud.vmware.com/vmc-aws/ https://aws.amazon.com/vmware/ Single Host SDDC Access Request: https://cloud.vmware.com/vmc-aws/single-host-access VMware Cloud on AWS Blog: https://cloud.vmware.com/community/vmware-cloud-on-aws/ YouTube Channel Playlists: Customer stories: https://bit.ly/2JuY7dm Overview videos: https://bit.ly/2xGM08j Demos: https://bit.ly/2svD68Z
- 28. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2019 Questions 2019
- 29. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Thank you
Notes de l'éditeur
- Source: https://451research.com/blog/1910-by-2019,-60-of-it-workloads-will-run-in-the-cloud
- Common Challenges with Hybrid Cloud Deployments Organizations use the cloud in different ways, and not every IT team is at the same stage of cloud adoption or datacenter modernization. Standardization (creating a strategy for minimizing IT costs within an organization by keeping software and tools as consistent as possible) is a key step in the cloud adoption process and requires validation with strategic goals. For most organizations with on-premises datacenters and existing IT investments, operating a hybrid architecture is a necessary first step in cloud adoption. Customers often begin their transition to a hybrid cloud model by migrating lighter workloads from on-premises datacenters to the cloud, conducting a proof-of-concept or by deploying a single cloud-native application. The latest statistics on cloud computing point to the continued investment in hybrid cloud as the reality for most organizations. IDC indicates that 71% of organizations have a hybrid cloud strategy today, but migrating legacy IT systems takes time. Therefore, selecting a cloud provider who can help you implement a thoughtful hybrid strategy is important, as cloud deployments should simplify operations and enable your organization to more easily achieve strategic goals tied to your mission. There are many benefits of integrating public cloud deployments and on-premises datacenter deployments. However, there are some common challenges to identify early on to lead to a successful hybrid cloud Mixed Skills, Tools, and Resources As you begin to develop a hybrid cloud, your team will be required to use new tools and learn new skills. One of the most overlooked challenges in a hybrid cloud strategy is training. Does your IT staff have adequate knowledge surrounding the cloud provider you are evaluating? Toolsets will likely be different between your cloud and on-premises deployments. Currently, many IT leaders believe that their organizations do not have the right level of skills and knowledge to achieve key business priorities. This is a challenge worth mentioning as organizations are struggling to find employees qualified to manage cloud infrastructures. Organizations with a formal cloud strategy in place typically experience fewer cloud failures as a result of staffing. This may even entail hiring new resources with the skills necessary to lead your journey to the cloud. In addition to personnel challenges, customers need to manage potential performance and operational inconsistencies early, if even if their journey to the cloud is slow and cautious. Building a strong foundation will facilitate future extensions to the cloud. Migration Complexity With limited IT resources, large cloud migrations can be complex and daunting. However, this does not seem to be slowing the trend of on-premises workloads migrating to the cloud. Migrating workloads is not always simple, and you need to check that the applications you use are able to operate within their traditional datacenter framework and a cloud environment. This means testing the applications in both environments or using a golden image to allow you to deploy in both settings. Workload migration is about more than dealing with multiple virtual machine (VM) formats – it’s about maintaining operational consistency and leveraging existing skillsets and on-premises tools as you learn about new, improved cloud tools and adapt over time. A hybrid cloud model is a natural step forward from a traditional, on-premises IT infrastructure deployment. Workloads should operate in a mix of environments that deliver a high degree of interoperability and integrated management capabilities. This includes varying levels of automation, integration, and a ‘single pane of glass’ service management. The decision to move certain workloads to the cloud should not be arbitrary; leadership needs a detailed plan on how and what workloads should move to the cloud and which workloads should remain on premises. In addition, migrations should not be treated as a singular project, but rather as part of a detailed and phased roadmap tied to a long-term strategy. Security and Governance One challenge some customers face with a hybrid cloud deployment is meeting compliance and security requirements. Data that moves between and is accessed in multiple platforms could add perceived risk to the organization. A risk assessment should be made and solutions deployed to address the potential vulnerabilities at both access points of a hybrid environment. In addition, organizations need to have robust governance structures in place when using any new IT infrastructure delivery model. Foundational best practices also need to be established to govern task automation and communication, while training methods need to be developed to educate employees and other end users. One specific security challenge is a lack of redundancy, which can be addressed by a properly deployed hybrid cloud environment. If redundancy is not present, you will not have backup copies of data distributed across your infrastructure. Backup and failover are vital to any cloud infrastructure in order to eliminate the possibility of data loss and allow your data to stay available even during an outage.
- Hybrid Cloud Benefits: During a time of transition, budgetary uncertainty, and competition for IT talent, all organizations must do more with less. Hybrid cloud deployments facilitate cloud adoption by giving IT organizations the flexibility to achieve a wide range of goals, including increased efficiency and reliability, high availability, security, and cost efficiency. Let’s look at three benefits of establishing a hybrid cloud. Accelerate Innovation Hybrid clouds help IT organizations navigate an ever-changing technological landscape, and evolve. Cloud environments remove barriers to innovation, as large capital expenditures are no longer required for IT modernization or new service adoption. The build-out of these physical IT infrastructure deployments requires long lead times, high labor costs for installation and maintenance. This places pressure on IT teams in the form of capacity management and forecasting against uncertain variables. This is why much of IT budgets are absorbed by the maintenance of legacy systems, whether they serve the mission or not. In a cloud environment, prototyping new concepts and testing them is done without upfront capital expenditures or long procurement cycles, and upon validation, a complete cloud stack and cloud-managed services can be deployed instantly anytime, since they’re available on-demand, when and where they are needed. In addition, the portions of your deployment that are in the cloud also benefit from increased automation. Hybrid clouds allow IT resources to be deployed and commissioned in an automated process that can yield results at an accelerated pace. These parameters help reduce time-to-value, and allow organizations to spend time on higher value added projects such as application optimization, or researching of newer technologies such as business intelligence analytics or artificial intelligence pilots. Business Continuity When it comes to cyber security and application availability, IT organizations are highly aware of the vulnerabilities that are inherent in managing aging applications and legacy infrastructure. And business continuity is one of the most important elements of successful IT operations. A business continuity solution involves more than simply backing up and/or replicating content to the cloud. Business continuity is the ability to continue to run critical operations during a failure or disaster. It also means that when a failure or disaster happens, that data is accessible with little to no downtime. Scalability and Speed of Response Scaling traditional IT infrastructure can be expensive, inefficient, and requires accurate forecasting in growing organizations. A hybrid cloud environment can provide the opportunity to scale out to a cloud environment for specific workloads. And implementing automation rules in the cloud gives IT the ability to scale resources up and down dynamically, as organizational demands change. This allows a hybrid cloud architecture to take advantage of nearly unlimited IT resources based on demand-driven usage and pay-as-you-go pricing, while optimizing the IT environment for performance and efficiency. A hybrid cloud environment allows for “bursting,” or the temporary allocation of cloud capacity for short periods, at a lower cost than using physical and owned IT resources. This helps prevent over-provisioning and resource abandonment when the instances (virtual servers in the cloud) are no longer needed. This scalability is ideal for dynamic, spikey, or unpredictable workloads. In addition, elastic resources allow IT to move workloads to the cloud at their own pace. You can move some workloads on a small scale and see what works for your organization. If the move is successful, then continue expanding from your datacenter at your comfort level. Lastly, cloud resources are ideal for data-intense workloads such as data warehousing, big data analytics, or data lakes. Most organizations cannot keep pace with the influx of data from newer sources, so on-premises data storage and data processing solutions are less viable year over year. With a cloud deployment, you can reduce the time it takes to create a service for your internal stakeholders, move data intensive workloads to the cloud, and you can create tools and templates that enable a self-service environment with guardrails to avoid future headaches
- Common AWS Hybrid Cloud Workloads Most customers choose to move to the cloud in phases, at their own pace. Many of their first cloud migrations lean towards workloads that are less mission critical and serve as proof-of-concepts for business-critical application migrations in the future. Some of the entry-level use cases for a hybrid cloud include: Disaster Recovery/Backup Application Development and Testing Web Servers HR, Payroll, Active Directory, and Productivity Applications Backup and disaster recovery is the most common use case as it serves two primary benefits. First, it allows you to use a non-production workload as a proof-of-concept for your initial entry into a cloud environment. Second, it allows you to create immediate value for your organization by elevating and testing your business continuity strategy. A common hybrid cloud backup architecture is informally called disk-to-disk-to-cloud backup. Data from servers or appliances is backed up to an on-premises storage solution, and then a copy of this data is stored in the cloud for two layers of redundancy, as well as other locations for increased data resiliency and durability. This model is popular with organizations with a complex IT delivery model such as remote or branch locations, or co-location deployments Application development and testing or “DevTest” is another popular use case, particularly in organizations focused on innovation. Many customers move their dev/test environments to the cloud to gain access to elastic and on-demand IT resources, while leaving their production application and database on premises. This helps with the integrity of your production environments, while also maintaining required latency between your database and application. In this model, you can provision full-stack environments in seconds with a cloud-hosted environment. This allows you to manage IT development and delivery across multiple programming languages and integrate with your preferred development tools. Customers can also choose between using a managed database cloud service (DBaaS) to spin up a smaller database, to hosting data for their DevTest environment, or virtualizing a similar database on a cloud compute service. By using cloud-based tools, you benefit from improved task tracking, agile project management, life-cycle management, and additional team collaboration tools. Third, customers move web servers to the cloud to take advantage of elastic compute resources. This allows a customer to leverage auto-scaling to right-size compute resources as demand spikes or declines. Organizations can also use the cloud for content delivery, placing their content closer to their end-users to reduce latency. This also adds another layer of business continuity as these customer-facing applications can be dispersed and stored across multiple locations to prevent a single point of failure. Lastly, many customers are moving first-workload applications to the cloud as their entry point. These entry-point applications include Microsoft Active Directory, Microsoft SharePoint, Microsoft Exchange, and collaboration tools. Customers may also choose to move front-office workloads, such as CRM, or operational applications, such as HR and payroll. Moving these to the cloud will provide: Scalable resources for variable applications and ever-growing data consumption Improved accessibility – access data anywhere and from any device Improved business productivity Easier to address compliance
- Next Phase AWS Hybrid Cloud Workloads The journey to the cloud is rarely accomplished in a single step. Many customers take years to migrate large portions of their data center to the cloud. Once a customer has moved traditional IT deployments, dev/test environments, and productivity applications, they are ready to start looking at advanced or mission-critical workloads. This next phase of hybrid cloud adoption includes: Databases and Data Warehouses Business Intelligence (BI) and Analytics Enterprise Applications such as ERP (Enterprise Resource Planning) HPC (High Performance Computing) Hybrid Cloud Use Case #1: Databases and Data Warehouses Once a customer has moved their application development and test environment to the cloud, the next step is to move their production applications and associated databases. By moving their database to the cloud, customers will can take advantage of on-demand IT resources, automation, and ready-made templates for easier configuration. This greatly reduces the amount of administrative work required to bring a database online. The elasticity of the cloud lets users quickly scale compute and storage resources as demand on the database grows or contracts. And administrators can easily monitor database instances for heath and utilization, and when a database instance is no longer needed, it can be terminated quickly and automatically, lowering costs. Similarly, enterprise applications will benefit from cloud elasticity and built-in business continuity provided by the cloud. Organizations can quickly and programmatically back-up, mirror, or archive the data that powers your application and database. They can create snapshots so that when an anomaly occurs, they can return to a point of healthy operation and keep their application running. Lastly, IT does not need to worry about database management tasks such as server provisioning, patching, setup, configuration, backups, or recovery. Administrative tasks are greatly reduced, so IT can focus on higher value projects such as application fine-tuning, analytics, or enabling newer technologies such as big data or artificial intelligence and machine learning deployments. After databases, data warehouses are suitable for a move to the cloud, since they house massive amounts of data and become more viable and cost-effective when delivered in the cloud. Customers can maintain their mission-critical data on premises and create copies of datasets that are moved to a cloud data warehouse (a relational data repository that pulls together large volumes of data, from many different sources, for fast and complex data analysis) or data lake (a centralized repository that stores structured and unstructured raw data for analysis). This allows for data insights to be extracted faster, without impacting the golden copy of data resident on premises. Moving your data to the cloud via a cloud data warehouse offers several benefits: Easy to set up, deploy, and manage – Data warehouses in the cloud are often simpler to use, enabling you to deploy a new data warehouse in minutes. They feature embedded automation for most of the common administrative tasks to manage, monitor, and scale your data warehouse. Scale quickly to meet your needs – Cloud data warehouse services enable you to scale from querying gigabytes to exabytes of data across your data warehouse and leverage cloud storage for your data lake deployment. Quickly analyze any size of data in with no loading or ETL (data extraction, transformation, and loading) required, and resize your data warehouse cluster with just a few clicks on the console or a simple API call. Scale up or down as your needs change. Faster Performance and lower cost – See greater performance than on-premises data warehouse solutions. Use machine learning, a massively parallel architecture, compute-optimized hardware, and result-set caching to deliver high throughput and sub-second response times. Cloud data warehouse are less expensive than traditional data warehouses on premises. There are no upfront costs and you only pay for what you use. Hybrid Cloud Use Case #2: Business Intelligence Analytics A second common use case for hybrid clouds is the implementation of cloud-based, on-demand business intelligence and analytics services. Similarly to data warehousing in the cloud, customers can create a hybrid cloud model that leaves core data on-premises, and creates copies or data subsets for analysis and visualization in the cloud. Cloud analytics and BI solutions support real-time data analysis and IT benefits from a pay-as-you-go model, which reduces costs and time of deployment. Here are some examples of how adopting analytics can help organizations reduce costs: Hybrid Cloud Use Case #3: Enterprise Workload Migration The third most common trend is the migration of enterprise workloads to the cloud, or alongside and interacting with cloud-native tools, in a hybrid cloud configuration. Many customers are moving their Enterprise Resource Planning (ERP) deployments to the cloud, even moving mission-critical applications to take advantage of the latest cloud tools. The availability of on-demand, reliable access to external IT infrastructure makes cloud the new normal for IT organizations big and small. There are many advantages to migrating an enterprise workloads, such as ERP, to the cloud. You are able to decommission aging infrastructure in favor of adopting a more flexible, on-demand operations model. Once the migration of your applications and data is complete, cloud-based IT resources can easily be added or reduced without penalty. And by relieving your staff from the tasks associated with maintaining hardware, employees are free to focus on projects that advance your mission. The final use case for hybrid cloud deployments is High Performance Computing (HPC). HPC is the use of large computing clusters (virtual servers) and parallel processing techniques to solve complex computational problems. HPC helps public sector organizations respond faster to emergencies, analyze fraudulent activity, and more accurately predict the weather. Life sciences and health care organizations also rely on HPC in the cloud for genomics analysis and research, imaging, and drug efficacy analysis. Many organizations are leaving their critical data, such as laboratory or clinical data, on premises and using cloud resources for the computation and analytics portion of the hybrid deployment.
- Simple And Consistent Operations Operational Consistency With vCenter, APIs And Third-Party Tools 100% Compatibility For Existing And New Enterprise Workloads Using VMware Delivered As A Service, Removing Management Hassles Enterprise Grade Capabilities Enterprise App SLAs For Availability And Performance Enterprise Security With Micro-Segmentation And Encryption Optimize Use Of Underlying Physical Resources Flexible and Innovative Access To A Broad Range Of AWS Services Enable Flexible Consumption, With Elastic Resources, On-demand Deliver Bi-directional Workload Portability Between VMware And AWS
- AWS Outposts (Coming Soon): Run AWS Infrastructure On-premises for a Consistent Hybrid Cloud Experience Can’t move your data or applications to the cloud? AWS Outposts brings native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. You can use the same APIs, the same tools, the same hardware, and the same functionality across on-premises and the cloud to deliver a consistent hybrid experience. Outposts can be used to support workloads that need to remain on premises due to low latency or local data processing needs. AWS Outposts come in two varieties: 1) VMware Cloud on AWS Outposts allows you to use the same VMware control plane and APIs you use to run your infrastructure and 2) AWS native variant of AWS Outposts allows you to use the same exact APIs and control plane you use to run in the AWS Cloud, but on premises. AWS Outposts infrastructure is fully managed, maintained, and supported by AWS to deliver access to the latest AWS services. Getting started is easy, you simply log into the AWS Management Console to order your Outposts servers, choosing from a wide range of compute and storage options. You can order one or more servers, or quarter, half, and full rack units.
- Hybrid Cloud Benefits: During a time of transition, budgetary uncertainty, and competition for IT talent, all organizations must do more with less. Hybrid cloud deployments facilitate cloud adoption by giving IT organizations the flexibility to achieve a wide range of goals, including increased efficiency and reliability, high availability, security, and cost efficiency. Let’s look at three benefits of establishing a hybrid cloud. Accelerate Innovation Hybrid clouds help IT organizations navigate an ever-changing technological landscape, and evolve. Cloud environments remove barriers to innovation, as large capital expenditures are no longer required for IT modernization or new service adoption. The build-out of these physical IT infrastructure deployments requires long lead times, high labor costs for installation and maintenance. This places pressure on IT teams in the form of capacity management and forecasting against uncertain variables. This is why much of IT budgets are absorbed by the maintenance of legacy systems, whether they serve the mission or not. In a cloud environment, prototyping new concepts and testing them is done without upfront capital expenditures or long procurement cycles, and upon validation, a complete cloud stack and cloud-managed services can be deployed instantly anytime, since they’re available on-demand, when and where they are needed. In addition, the portions of your deployment that are in the cloud also benefit from increased automation. Hybrid clouds allow IT resources to be deployed and commissioned in an automated process that can yield results at an accelerated pace. These parameters help reduce time-to-value, and allow organizations to spend time on higher value added projects such as application optimization, or researching of newer technologies such as business intelligence analytics or artificial intelligence pilots. Business Continuity When it comes to cyber security and application availability, IT organizations are highly aware of the vulnerabilities that are inherent in managing aging applications and legacy infrastructure. And business continuity is one of the most important elements of successful IT operations. A business continuity solution involves more than simply backing up and/or replicating content to the cloud. Business continuity is the ability to continue to run critical operations during a failure or disaster. It also means that when a failure or disaster happens, that data is accessible with little to no downtime. Scalability and Speed of Response Scaling traditional IT infrastructure can be expensive, inefficient, and requires accurate forecasting in growing organizations. A hybrid cloud environment can provide the opportunity to scale out to a cloud environment for specific workloads. And implementing automation rules in the cloud gives IT the ability to scale resources up and down dynamically, as organizational demands change. This allows a hybrid cloud architecture to take advantage of nearly unlimited IT resources based on demand-driven usage and pay-as-you-go pricing, while optimizing the IT environment for performance and efficiency. A hybrid cloud environment allows for “bursting,” or the temporary allocation of cloud capacity for short periods, at a lower cost than using physical and owned IT resources. This helps prevent over-provisioning and resource abandonment when the instances (virtual servers in the cloud) are no longer needed. This scalability is ideal for dynamic, spikey, or unpredictable workloads. In addition, elastic resources allow IT to move workloads to the cloud at their own pace. You can move some workloads on a small scale and see what works for your organization. If the move is successful, then continue expanding from your datacenter at your comfort level. Lastly, cloud resources are ideal for data-intense workloads such as data warehousing, big data analytics, or data lakes. Most organizations cannot keep pace with the influx of data from newer sources, so on-premises data storage and data processing solutions are less viable year over year. With a cloud deployment, you can reduce the time it takes to create a service for your internal stakeholders, move data intensive workloads to the cloud, and you can create tools and templates that enable a self-service environment with guardrails to avoid future headaches