Implementation Design Of Servers Vm Cloud Broker System Design And Deployment Pdf

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It is a logical next step to virtualize and use software to define the storage for these applications and their data.

Monitoring is an important aspect of designing and maintaining large-scale systems. Cloud computing presents a unique set of challenges to monitoring including: on-demand infrastructure, unprecedented scalability, rapid elasticity and performance uncertainty. There are a wide range of monitoring tools originating from cluster and high-performance computing, grid computing and enterprise computing, as well as a series of newer bespoke tools, which have been designed exclusively for cloud monitoring. These tools express a number of common elements and designs, which address the demands of cloud monitoring to various degrees. This paper performs an exhaustive survey of contemporary monitoring tools from which we derive a taxonomy, which examines how effectively existing tools and designs meet the challenges of cloud monitoring.

Cloud designs and deployment models: a systematic mapping study

The enterprise landscape is continuously evolving. There is a greater demand for mobile and Internet-of-Things IoT device traffic, SaaS applications, and cloud adoption. In addition, security needs are increasing and applications are requiring prioritization and optimization, and as this complexity grows, there is a push to reduce costs and operating expenses. High availability and scale continue to be important. Legacy WAN architectures are facing major challenges under this evolving landscape.

Issues with these architectures include insufficient bandwidth along with high bandwidth costs, application downtime, poor SaaS performance, complex operations, complex workflows for cloud connectivity, long deployment times and policy changes, limited application visibility, and difficulty in securing the network. In recent years, software-defined wide-area networking SD-WAN solutions have evolved to address these challenges. SDN is a centralized approach to network management which abstracts away the underlying network infrastructure from its applications.

This de-coupling of data plane forwarding and control plane allows you to centralize the intelligence of the network and allows for more network automation, operations simplification, and centralized provisioning, monitoring, and troubleshooting. It fully integrates routing, security, centralized policy, and orchestration into large-scale networks.

It is multitenant, cloud-delivered, highly automated, secure, scalable, and application-aware with rich analytics. Some of the benefits include:. Due to the separation of the control plane and data plane, controllers can be deployed on premises or in the cloud.

Cisco WAN Edge router deployment can be physical or virtual and can be deployed anywhere in the network. It discusses the architecture and components of the solution, including control plane, data plane, routing, authentication, and onboarding of SD-WAN devices.

It also focuses on NAT, Firewall, and other deployment planning considerations. The guide is based on vManage version The topics in this guide are not exhaustive. Lower-level technical details for some topics can be found in the companion prescriptive deployment guides or in other white papers.

See Appendix A for a list of documentation references. Secure Automated WAN. Application Performance Optimization. Improves the application experience for users at remote offices. Secure Direct Internet Access. Locally offloads Internet traffic at the remote office. Multicloud Connectivity. The secure automated WAN use case focuses on providing the secure connectivity between branches, data centers, colocations, and public and private clouds over a transport independent network.

It also covers streamlined device deployment using ubiquitous and scalable polices and templates, as well as automated, no-touch provisioning for new installations. The WAN Edge router discovers its controllers automatically and fully authenticates to them and automatically downloads its prepared configuration before proceeding to establish IPsec tunnels with the rest of the existing network.

Automated provisioning helps to lower IT costs. Traffic can be offloaded from higher quality, more expensive circuits like MPLS to broadband circuits which can achieve the same availability and performance for a fraction of the cost.

Application availability is maximized through performance monitoring and proactive rerouting around impairments. Traffic that enters the router is assigned to a VPN, which not only isolates user traffic, but also provides routing table isolation. There are a variety of different network issues that can impact the application performance for end-users, which can include packet loss, congested WAN circuits, high latency WAN links, and suboptimal WAN path selection.

Optimizing the application experience is critical in order to achieve high user productivity. During periods of performance degradation, the traffic can be directed to other paths if SLAs are exceeded. The figure below shows that for application A, Path 1 and 3 are valid paths, but path 2 does not meet the SLAs so it is not used in path selection for transporting application A traffic.

Together, the feature is designed to minimize the delay, jitter and packet loss of critical application flows. With packet duplication, the transmitting WAN Edge replicates all packets for selected critical applications over two tunnels at a time, and the receiving WAN Edge reconstructs critical application flows and discards the duplicate packets.

With Session Persistence, instead of a new connection for every single TCP request and response pair, a single TCP connection is used to send and receive multiple requests and responses. In traditional WAN, Internet traffic from a branch site is backhauled to a central data center site, where the traffic can be scrubbed by a security stack before the return traffic is sent back to the branch.

Over time, demand for Internet traffic has been increasing as more companies are utilizing cloud services for their applications and more applications are becoming Internet-based.

Backhauling traffic to a central site causes increased bandwidth utilization for the security and network devices and links at the central site, as well as increased latency which has an impact on application performance. Direct Internet Access DIA can help solve these issues by allowing Internet-bound traffic from a VPN either all traffic or a subset of traffic to locally exit the remote site.

DIA can pose security challenges as remote site traffic needs security against Internet threats. The Cisco Umbrella Cloud unifies several security features and delivers them as a cloud-based service. These features include a secure web gateway, DNS-layer security, cloud-delivered firewall, cloud access security broker functionality, and threat intelligence. Applications are moving to multiple clouds and are reachable over multiple transports.

Traditionally, for a branch to reach IaaS resources, there was no direct access to public cloud data centers, as they typically require access through a data center or colocation site. In addition, there was a dependency on MPLS to reach IaaS resources at private cloud data centers with no consistent segmentation or QoS policies from the branch to the public cloud.

Cisco Cloud onRamp for IaaS is a feature that automates connectivity to workloads in the public cloud from the data center or branch. It automatically deploys WAN Edge router instances in the public cloud that become part of the SD-WAN overlay and establish data plane connectivity to the routers located in the data center or branch.

Cisco Cloud onRamp for IaaS eliminates traffic from SD-WAN sites needing to traverse the data center, improving the performance of the applications hosted in the public cloud. However, network administrators may have limited or no visibility into the performance of the SaaS applications from remote sites, so, choosing what network path to access the SaaS applications in order to optimize the end-user experience can be problematic.

In addition, when changes to the network or impairment occurs, there may not be an easy way to move affected applications to an alternate path. Cloud onRamp for SaaS allows you to easily configure access to SaaS applications, either direct from the Internet or through gateway locations. It continuously probes, measures, and monitors the performance of each path to each SaaS application and it chooses the best-performing path based on loss and delay.

If impairment occurs, SaaS traffic is dynamically and intelligently moved to the updated optimal path. DIA helps alleviate these issues and improves the user experience by allowing branch users to access Internet resources and SaaS applications directly from the branch. While this distributed approach is efficient and greatly beneficial, there are many organizations who are prohibited from accessing the Internet from the branch, due to regulatory agencies or company security policy.

For these organizations, Cloud onRamp for Colocation allows for a hybrid approach to the problem by utilizing co-locations in strategic points of the network to consolidate network and security stacks and minimize latency. Colocation centers are public data centers where organizations can rent equipment space and connect to a variety of network and cloud service providers.

Colocations, which are strategically selected for close proximity to end users, get high-speed access to public and private cloud resources and are more cost effective than using a private data center. These services are announced to the rest of the SD-WAN network, and control and data polices can be used to influence traffic through these colocation resources if needed.

The primary components for the Cisco SD-WAN solution consist of the vManage network management system management plane , the vSmart controller control plane , the vBond orchestrator orchestration plane , and the WAN Edge router data plane. It provides a single pane of glass for Day 0, Day 1, and Day 2 operations.

It also orchestrates the secure data plane connectivity between the WAN Edge routers by reflecting crypto key information originating from WAN Edge routers, allowing for a very scalable, IKE-less architecture. It also has an important role in enabling the communication between devices that sit behind Network Address Translation NAT. The cloud-based SD-WAN controllers the two vSmart controllers, the vBond orchestrator, along with the vManage server are reachable directly through the Internet transport.

In addition, the topology also includes cloud access to SaaS and IaaS applications. The Bidirectional Forwarding Detection BFD protocol is enabled by default and runs over each of these tunnels, detecting loss, latency, jitter, and path failures. A site could be a data center, a branch office, a campus, or something similar. A System IP is a persistent, system-level IPv4 address that uniquely identifies the device independently of any interface addresses.

It acts much like a router ID, so it doesn't need to be advertised or known by the underlay. It is assigned to the system interface that resides in VPN 0 and is never advertised. A best practice, however, is to assign this system IP address to a loopback interface and advertise it in any service VPN.

It can then be used as a source IP address for SNMP and logging, making it easier to correlate network events with vManage information. It is case-sensitive and must match the organization name configured on all the SD-WAN devices in the overlay. This is the pre-NAT address, and despite the name, can be a public address publicly routable or a private address RFC This address can be either a public address publicly routable or a private address RFC You cannot use the same color twice on a single WAN Edge router.

The protocol runs between vSmart controllers and between vSmart controllers and WAN Edge routers where control plane information, such as route prefixes, next-hop routes, crypto keys, and policy information, is exchanged over a secure DTLS or TLS connection.

The vSmart controller acts similar to a BGP route reflector; it receives routes from WAN Edge routers, processes and applies any policy to them, and then advertises the routes to other WAN Edge routers in the overlay network. Each VPN is isolated from one another and each have their own forwarding table.

Labels are used in OMP route attributes and in the packet encapsulation, which identifies the VPN a packet belongs to. The VPN number is a four-byte integer with a value from 0 to , but several VPNs are reserved for internal use, so the maximum VPN that can or should be configured is For the vBond orchestrator, although more VPNs can be configured, only VPN 0 and are functional and the only ones that should be used.

It contains the interfaces that connect to the WAN transports. Static or default routes or a dynamic routing protocol needs to be configured inside this VPN in order to get appropriate next-hop information so the control plane can be established and IPsec tunnel traffic can reach remote sites. In addition to the default VPNs that are already defined, one or more service-side VPNs need to be created that contain interfaces that connect to the local-site network and carry user data traffic.

It is recommended to select service VPNs in the range of , but higher values can be chosen as long as they do not overlap with default and reserved VPNs. User traffic can be directed over the IPsec tunnels to other sites by redistributing OMP routes received from the vSmart controllers at the site into the service-side VPN routing protocol. In turn, routes from the local site can be advertised to other sites by advertising the service VPN routes into the OMP routing protocol, which is sent to the vSmart controllers and redistributed to the other WAN Edge routers in the network.

Tech tip. Note that any interface could also be a subinterface. In that case, the main or parent physical interface that the subinterface belongs to must be configured in VPN 0. The subinterface MTU also must be 4 bytes lower than the physical interface due to the Note: The above illustrates how VPNs are represented directly on the vEdge router and through the vManage configuration.

Some differences include:.

Serverless Architectures

The enterprise landscape is continuously evolving. There is a greater demand for mobile and Internet-of-Things IoT device traffic, SaaS applications, and cloud adoption. In addition, security needs are increasing and applications are requiring prioritization and optimization, and as this complexity grows, there is a push to reduce costs and operating expenses. High availability and scale continue to be important. Legacy WAN architectures are facing major challenges under this evolving landscape. Issues with these architectures include insufficient bandwidth along with high bandwidth costs, application downtime, poor SaaS performance, complex operations, complex workflows for cloud connectivity, long deployment times and policy changes, limited application visibility, and difficulty in securing the network.

The datasets used during the current study are available from the corresponding author on reasonable request. Cloud computing is a unique paradigm that is aggregating resources available from cloud service providers for use by customers on demand and pay per use basis. There is a Cloud federation that integrates the four primary Cloud models and the Cloud aggregator that integrates multiple computing services. A systematic mapping study provides an overview of work done in a particular field of interest and identifies gaps for further research. The objective of this paper was to conduct a study of deployment and designs models for Cloud using a systematic mapping process. The methodology involves examining core aspect of the field of study using the research, contribution and topic facets. The results obtained indicated that there were more publications on solution proposals, which constituted


Design and Building of a Scalable VM Cloud System has led to the growth of cloud computing system deployment in many organizations. Thus, an open source implementation of a cloud solution is one of a very attractive allow a collection of servers to interoperate and form a scalable cloud platform.


Serverless Architectures

Ask several different organizations why they are implementing a private cloud, and you're likely to receive several different reasons. Ask several people within any one organization why they are implementing a private cloud, and you're still likely to receive several very different reasons, especially if those people span business and operational teams. Ask any of them if they have realized the benefits they thought they would, and they're likely to say "not yet" or "not quite. While many technologies focus on solving specific pain points, and thus there are clear reasons for implementing them, technologies that cross into the realm of architecture and data center models are less focused on specific problems. Rather, they focus more on providing multiple hard and soft benefits.

Cloud computing is the big boom technology in IT industry infrastructure. Many people are moving to cloud computing because of dynamic allocation of resources and reduction in cost. Cloud computing delivers infrastructure, software, and platforms as a service to all consumers. But still, it has numerous issues related to performance unpredictability, resource sharing, security, storage capacity, availability of resources on each requirement, data confidentiality and many more. Load balancing and service brokering are the two main key areas, which ensures reliability, scalability, minimize response time, maximize throughput and cost in the cloud environment.

By using these ideas, and related ones like single-page applications, such architectures remove much of the need for a traditional always-on server component. Serverless architectures may benefit from significantly reduced operational cost, complexity, and engineering lead time, at a cost of increased reliance on vendor dependencies and comparatively immature supporting services. Mike Roberts is a partner, and co-founder, of Symphonia - a consultancy specializing in Cloud Architecture and the impact it has on companies and teams. He sees Serverless as the next evolution of cloud systems and as such is excited about its ability to help teams, and their customers, be awesome. Serverless computing , or more simply Serverless , is a hot topic in the software architecture world.

Metrics details.

Observing the clouds: a survey and taxonomy of cloud monitoring

Metrics details. Cloud computing is a unique paradigm that is aggregating resources available from cloud service providers for use by customers on demand and pay per use basis. There is a Cloud federation that integrates the four primary Cloud models and the Cloud aggregator that integrates multiple computing services. A systematic mapping study provides an overview of work done in a particular field of interest and identifies gaps for further research. The objective of this paper was to conduct a study of deployment and designs models for Cloud using a systematic mapping process.

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Designing and implementing a cloud-hosted SaaS for data computing systems to deploy data-intensive applications. resources including end-user desktops and servers. •SlapOS: (but less than a virtual machine), based on the host a distribution using broker system and data archiving with big data.


Six Common Challenges of Cloud Implementations

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Migration to Google Cloud: Getting started

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