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      3 Reasons You Need INAP’s Next-Generation Dedicated Private Cloud in Your Hybrid Infrastructure Mix


      The best hybrid infrastructure strategies allow companies to carefully chart their cloud journeys based on the needs of their applications and workloads. There’s a lot of space in between a hyperscale platform and an on-premise data center, including solutions that embrace the agility and performance of public clouds while providing granular environmental control and access to leading managed security for your infrastructure mix.

      Dedicated Private Clouds (DPCs) are an ideal alternative to hyperscale public cloud platforms, especially for enterprises seeking to satisfy stringent industry compliance requirements, consolidate data centers, host legacy applications or stand-up disaster recovery environments.

      This week, INAP is thrilled to introduce the latest release of our Dedicated Private Cloud solution. This next-generation DPC solution is a VMware-based platform carefully rightsized for a range of applications, and for the first time, is backed by the transparency and simplicity of INAP Intelligent Monitoring, our premium managed cloud monitoring service. Intelligent Monitoring has been expanded to provide transparent visibility into infrastructure and application performance to private cloud customers, all within INblue, INAP’s easy-to-use infrastructure management platform.

      Let’s explore the reasons why you need INAP’s fully managed DPC solution in your hybrid infrastructure mix.

      Change the Game with Intelligent Monitoring

      INAP Intelligent Monitoring for DPC, powered by VMware vRealize® Operations Manager, provides real-time visibility into the health of your infrastructure and applications through a set of intuitive dashboards. We created Intelligent Monitoring for a number of reasons, including to help streamline the actions that follow alerts and to provide transparency into the management of your infrastructure.

      Jim Aluotto, Senior Director for VMware’s Cloud Provider Business, Americas Region, highlighted the value-add the VMware vRealize Operations Manager’s integration into our managed private cloud platform. “The technology empowers customers who want to spend less time monitoring and maintaining their cloud infrastructure, but still require granular visibility of both the environment and the critical work their solution provider manages for them.”

      Originally released in 2019 for INAP’s Bare Metal platform, Intelligent Monitoring combines expert technical support with unequaled visibility and control. Intelligent Monitoring for our next-generation DPC solution provides detailed dashboards that track the overall health of your environment, including utilization metrics for hosts, virtual machines and datastores. When monitoring thresholds trigger, you will be notified along with our certified INAP cloud technicians, who will proactively resolve many issues. You can track the progress and follow workflows every step of the way via INAP’s INblue infrastructure management platform.

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      Get the Flexibility to Achieve New Levels of Performance

      DPCs are easy transitions from on-premise environments given the amount of configuration flexibility they offer. The INAP team will ensure that the solution is rightsized for your applications, beginning with a complimentary assessment of your current environment. The team can then validate infrastructure suitability for your applications.

      This flexibility, paired with the transparency of Intelligent Monitoring, will reduce your time spent maintaining infrastructure without you having to choose between control, compliance or performance. Predict and prevent issues, monitor and troubleshoot application performance faster, automate capacity planning and increase your forecast accuracy with our next-generation DPC.

      Fuel Your Business Growth, We’ve Got Your Infrastructure Covered

      Focus on business needs and reduce your time spent managing infrastructure with INAP managed cloud services. From onboarding and deployment to ongoing maintenance and optimization, with a fully managed DPC, our certified VMware cloud experts are an extension of your team. We manage network connectivity, storage and the underlying infrastructure so you can focus on the VM and application layer.

      INAP’s DPCs are single-tenant environments with private network segmentation, DDoS protection and mitigation, isolated security zones and account security. Managed VMware NSX® Edge™ firewalls enable high-availability network security and premium performance. Additionally, as a DPC customer, you can increase your security posture with INAP Shield Managed Security services, powered by Alert Logic managed detection and response (MDR).

      Our next generation DPC was also designed with compliance in mind. It is the ideal solution to support any PCI-DSS and HIPAA requirements you may have for your infrastructure solutions.

      Explore INAP Dedicated Private Cloud.

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      Wendy Williams
      • Product Manager, Private Cloud and Security Services


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      Dedicated Private Cloud vs. Virtual Private Cloud: What’s the Difference?


      What is the difference between a dedicated private cloud and a virtual private cloud? As solutions architects, this is a question my teammates and I hear often. Simply put:

      • Dedicated Private Cloud (DPC) is defined as physically isolated, single-tenant collection of compute, network and sometimes storage resources exclusively provisioned to just one organization or application.
      • Virtual Private Cloud (VPC) is defined as a multi-tenant but virtually isolated, collection of compute, network and storage resources.

      A simple analogy comparing the two would be choosing between a single-family private home (DPC) versus a condo building (VPC).

      Despite the differences, both dedicated and virtual private clouds offer secure environments with flexible management options, which allow you to concentrate on your core business instead of struggling to keep up with daily infrastructure monitoring and maintenance.

      Let’s discuss each cloud product in greater depth and review use cases for dedicated vs. virtual private clouds. I’ll use INAP’s dedicated private cloud (DPC) and virtual private cloud (VPC) products as examples for the DPC and VPC differentiators.

      Dedicated Private Cloud (DPC)

      DPCs are scalable, isolated computing environments that are tailored to fit unique requirements and rightsized for any of workload or application. DPCs are ideal for mission-critical or legacy applications. When applications can’t be easily refactored for the cloud, a DPC can be a viable solution.  DPC is also ideal for organizations seeking to reduce time spent maintaining infrastructure. You do not need to sacrifice control, compliance or performance with a DPC. INAP DPCs are built with trusted enterprise-class technologies powered by VMware or Hyper-V.

      DPC use cases:

      • Compliance and audit requirements, such as PCI or HIPAA
      • Stringent security requirements
      • Large scale applications with rigorous performance and/or data storage requirements
      • Legacy applications, which may require hardware keys or specific software licensing components
      • Data center migration — scale physical compute, network and storage capacity as needed without significant investments in data center build outs
      • Complex network requirements, which may include MPLS, SDWAN, private layer 2 connections to customers, vendors or partners
      • Fully-integrated active or hot-standby disaster recovery environments
      • Infrastructure Management Services, all the way to the operating system
      • High CPU/GPU/RAM requirements
      • AI environments
      • Big Data
      • Always on applications that are not a fit for hyper-scale providers

      INAP’s DPC differentiators:

      • Designed and “right-sized” to fit your application, economics and compliance requirements
      • Built with enterprise-class technologies and powered by VMware or Hyper-V.
      • Utilize 100 percent isolated compute and highly secure, single-tenant environments perfect for PCI or HIPAA compliance.
      • Flexible compute and data storage options which allow you meet any application performance and growth requirements.
      • OS Managed services free up time from routine tasks of patching
      • Transparency into the core infrastructure technology allows you complete visibility in the inter-workings of the environment.
      • No restrictions on sizing of the VMs or application workloads because the infrastructure is custom designed for your organization specific technology needs.
      • SDN switching for flexible, quick and easy network management or dedicated switching for complex network configurations to meet any network requirements.
      • MDR security services available, which include vulnerability scanning, IDS/IPS, log management with SOC (Security Operations Center)
      • Off-site cloud backups and fully integrated and managed DRaaS available.

      Virtual Private Cloud (VPC)

      VPCs are ideal for applications with variable resource requirements and organizations seeking to reduce time spent maintaining infrastructure without sacrificing control of your virtual machines, compliance, and elasticity. They provide a customized landscape of users, groups, computing resources and a virtual network that you define. Different organizations or users of VPC resources do not have access to the underlying hypervisor for customization or monitoring plugin installation.

      VPCs are pre-designed for smaller to medium workloads and provide management and monitoring tools. They allow for very fast application deployment because the highly available compute, security, storage and hypervisors are already deployed and ready for your workload.

      VPC use cases:

      • Small to medium sized workloads with 10 to 25 VMs and simple network requirements
      • Applications with lower RAM requirements
      • Ideal for additional capacity needed for projects. Deploy in hours—not days.
      • Quickly spin up unlimited Virtual Machines (VMs) per host to support new projects or peak business cycle’s ability to quickly add resources on demand

      INAP’s VPC differentiators:

      • Designed for fast deployments enabling you to eliminate lengthy sourcing and procurement timelines
      • Shield Managed Security services included
        • 24/7 physical security in SSAE 16/SOC 2 certified Data Centers
        • Private networks & segmentation
        • Account security for secure portal access
        • DDoS protection & Mitigation
      • OS Managed services free up time from routine tasks of patching
      • Easy to use interface simplifies management and reduces operational expense of training IT staff
      • Off-site Cloud Backups and Fully integrated On-Demand (Paygo) DRaaS available
      • MDR security services available, which include vulnerability scanning, IDS/IPS, log management with SOC (Security Operations Center)

      Next Steps

      Do you know which private cloud model will work with your company’s workload and applications? Whether you’re certain that a DPC or VPC will be a good fit or you’re still unsure, INAP’s experts can help take your cloud infrastructure to the next level. Chat today to talk all things private cloud.

      Explore INAP Private Cloud.

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      Rob Lerner


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      Use Cases for Linode Dedicated CPU Instances


      Updated by Linode

      Written by Ryan Syracuse

      Why Dedicated CPU

      Dedicated CPU Linodes offer a complement to CPU intensive tasks, and have the potential to significantly reduce issues that arise from shared cloud hosting environments. Normally, when creating a Linode via our standard plan, you are paying for access to virtualized CPU cores, which are allocated to you from a host’s shared physical CPU. While a standard plan is designed to maximize performance, the reality of a shared virtualized environment is that your processes are scheduled to use the same physical CPU cores as other customers. This can produce a level of competition that results in CPU steal, or a higher wait time from the underlying hypervisor to the physical CPU.

      CPU Steal can be defined more strictly as a measure of expected CPU cycles against actual CPU cycles as your virtualized environment is scheduled access to the physical CPU. Although this number is generally small enough that it does not heavily impact standard workloads and use cases, if you are expecting high and constant consumption of CPU resources, you are at risk of being negatively impacted by CPU Steal.

      Dedicated CPU Linodes have private access to entire physical CPU cores, meaning no other Linodes will have any processes on the same cores you’re using. Dedicated CPUs are therefore exempt from any competition for CPU resources and the potential problems that could arise because of CPU steal. Depending on your workload, you can experience an improvement in performance by using Dedicated CPU.

      Dedicated CPU Use Cases

      While a standard plan is usually a good fit for most use cases, a Dedicated CPU Linode may be recommended for a number of workloads related to high and constant CPU processing. Such examples include:

      CI/CD Toolchains and Build Servers

      CI and CD are abbreviations for Continuous Integration and Continuous Delivery, respectively, and refer to an active approach to DevOps that reduces overall workloads by automatically testing and regularly implementing small changes. This can help to prevent last-minute conflicts and bugs, and keeps tasks on schedule. For more information on the specifics of CI and CD, see our Introduction to CI/CD Guide.

      In many cases, the CI/CD pipeline can become resource-intensive if many new code changes are built and tested against your build server. When a Linode is used as a remote server and is expected to be regularly active, a Dedicated CPU Linode can add an additional layer of speed and reliability to your toolchain.

      Game Servers

      Depending on the intensity of demands they place on your Linode, game servers may benefit from a Dedicated CPU. Modern multiplayer games need to coordinate with a high number of clients, and require syncing entire game worlds for each player. If CPU resources are not available, then players will experience issues like stuttering and lag. Below is a short list of popular games that may benefit from a Dedicated CPU:

      Audio and Video Transcoding

      Audio and Video Transcoding (AKA Video/Audio Encoding) is the process of taking a video or audio file from its original or source format and converting it to another format for use with a different device or tool. Because this is often a time-consuming and resource-intensive task, a Dedicated CPU or Dedicated GPU Linode are suggested to maximize performance. FFmpeg is a popular open source tool used specifically for the manipulation of audio and video, and is recommended for a wide variety of encoding tasks.

      Big Data and Data Analysis

      Big Data and Data Analysis is the process of analyzing and extracting meaningful insights from datasets so large they often require specialized software and hardware. Big data is most easily recognized with the the “three V’s” of big data:

      • Volume: Generally, if you are working with terabytes, petabytes, exabytes, or more amounts of information you are in the realm of big data.
      • Velocity: With Big Data, you are using data that is being created, called, moved, and interacted with at a high velocity. One example is the real time data generated on social media platforms by their users.
      • Variety: Variety refers to the many different types of data formats with which you may need to interact. Photos, video, audio, and documents can all be written and saved in a number of different formats. It is important to consider the variety of data that you will collect in order to appropriately categorize it.

      Processing big data is often especially hardware-dependent. A Dedicated CPU can give you access to the isolated resources often required to complete these tasks.

      The following tools can be extremely useful when working with big data:

      • Hadoop – an Apache project for the creation of parallel processing applications on large data sets, distributed across networked nodes.

      • Apache Spark – a unified analytics engine for large-scale data processing designed with speed and ease of use in mind.

      • Apache Storm – a distributed computation system that processes streaming data in real time.

      Scientific Computing

      Scientific Computing is a term used to describe the process of using computing power to solve complex scientific problems that are either impossible, dangerous, or otherwise inconvenient to solve via traditional means. Often considered the “Third Pillar” of modern science behind Theoretical Analysis and Experimentation, Scientific Computing has quickly become a prevalent tool in scientific spaces.

      Scientific Computing involves many intersecting skills and tools for a wide array of more specific use cases, though solving complex mathematical formulas dependent on significant computing power is considered to be standard. While there are a large number of open source software tools available, below are two general purpose tools we can recommend to get started with Scientific Computing.

      It’s worth keeping in mind that, beyond general use cases, there are many more example of tools and software available and often designed for individual fields of science.

      Machine Learning

      Machine learning is a powerful approach to data science that uses large sets of data to build prediction algorithms. These prediction algorithms are commonly used in “recommendation” features on many popular music and video applications, online shops, and search engines. When you receive intelligent recommendations tailored to your own tastes, machine learning is often responsible. Other areas where you might find machine learning being used are in self-driving cars, process automation, security, marketing analytics, and health care.

      Below is a list of common tools used for machine learning and AI that can be installed on a Linode CPU instance:

      • TensorFlow – a free, open-source, machine learning framework and deep learning library. Tensorflow was originally developed by Google for internal use and later fully released to the public under the Apache License.

      • PyTorch – a machine learning library for Python that uses the popular GPU-optimized Torch framework.

      • Apache Mahout – a scalable library of machine learning algorithms and distributed linear algebra framework designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms.

      Where to Go From Here

      If you’re ready to get started with a Dedicated CPU Linode, our Getting Started With Dedicated CPU guide will walk you through the process of an initial installation. Additionally, see our Pricing Page for a rundown of both hourly and monthly costs.

      Find answers, ask questions, and help others.

      This guide is published under a CC BY-ND 4.0 license.



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