DIY Open Source NAS: How to Install FreeNAS

Open source NAS isn’t appropriate for every use case, but it can be ideal for lab deployments, smaller workgroups or active archive data. Given the cost of enterprise storage, such organizations often reserve their expensive, high-end storage arrays for use with workloads that demand high performance. File data, and data that is associated with less demanding workloads, is often stored in the cloud, or stored on premises within less-expensive storage appliances. Even that model can be somewhat costly, however. One way of bringing down the cost of storage is to use open source NAS where it is practical to do so. Open source NAS obviously isn’t appropriate for every use case, but it can be ideal for lab deployments, smaller workgroups within the organization or for active archive data.

Spotlight

OpenVZ

OpenVZ is container-based virtualization for Linux. OpenVZ creates multiple secure, isolated Linux containers (otherwise known as VEs or VPSs) on a single physical server enabling better server utilization and ensuring that applications do not conflict. Each container performs and executes exactly like a stand-alone server; a container can be rebooted independently and have root access, users, IP addresses, memory, processes, files, applications, system libraries and configuration files. is container-based virtualization for Linux.

OTHER ARTICLES
Virtual Desktop Tools, Server Hypervisors

Discovering SCVMM and Its Features

Article | April 28, 2023

System Center Virtual Machine Manager (SCVMM) is a management tool for Microsoft’s Hyper-V virtualization platform. It is part of Microsoft’s System Center product suite, which also includes Configuration Manager and Operations Manager, among other tools. SCVMM provides a single pane of glass for managing your on-premises and cloud-based Hyper-V infrastructures, and it’s a more capable alternative to Windows Server tools built for the same purpose.

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Server Virtualization

Boosting Productivity with Kubernetes and Docker

Article | May 17, 2023

Learn setting up a Docker and Kubernetes environment with the right considerations and choose the best-suited software from ten leading tools, softwares and platforms for your business needs. Contents The blog discusses how Kubernetes and Docker can boost software development and deployment productivity. In addition, it covers the benefits of the role of Kubernetes in orchestrating containerized applications and best practices for implementing these technologies to improve efficiency and streamline workflows. Docker and Kubernetes are both essential containerization ecosystem utilities. Kubernetes, an excellent DevOps solution, manages and automates containers' deployment and scaling, along with operating across clusters of hosts, whereas Docker is used for creating and operating containers. The blog covers tips to consider while choosing tools/platforms. It further enlists ten platforms providing Kubernetes and Docker, featuring their offerings. 1. Considerations While Setting Up a Development Environment with Kubernetes and Docker 1.1 Fluid app delivery A platform for application development must provide development teams with high velocity. Two factors contribute to high velocity: rapid application delivery and brief development cycles. Application platforms must support build processes that start with source code. The platforms must also facilitate the repetitive deployment of applications on any remote staging instance. 1.2 Polyglot support Consistency is the defining characteristic of an application platform. On-demand, repetitive, and reproducible builds must be supported by the platform. Extending a consistent experience across all languages and frameworks elevates the platform experience. The platform must support a native build process and the ability to develop and customize this build process. 1.3 Baked-in security Containerized environments are secured in a significantly different manner than conventional applications. A fundamental best practice is to utilize binaries compiled with all necessary dependencies. The build procedure should also include a directive to eliminate unnecessary components for the application's operation. Setting up a zero-trust architecture between platform components that orchestrate deployments significantly improves the workloads' security posture. 1.4 Adjustable abstractions A platform with paved paths and the flexibility to accommodate the requirements of software engineering teams has a greater chance of success. Open-source platforms score highly in this regard, particularly those with modular architectures that allow the team to swap out parts as they adjust. 2.Top Tips to Consider While Choosing Tools and Platforms for Kubernetes and Docker 2.1 Production-Readiness Configuring Kubernetes or Docker can be complex and resource-intensive. A production-ready platform will ensure having the necessary fully automated features without the need for configuration. Security is an essential aspect of production readiness. Additionally, automation is critical, as production readiness requires that the solution manage all cluster management duties. Automated backup, recovery, and restore capabilities must be considered. Also, ensure the high availability, scalability, and self-healing of the cluster's platform. 2.2 Future-Readiness As the cloud and software evolve, a system's hosting location may affect its efficacy. The current trend is a multi-cloud strategy. Ensure that the platform can support abstracting from cloud or data center providers and building a shared infrastructure across clouds, cloud regions, and data centers, as well as assist in configuring them if required. According to a recent study, nearly one-third of organizations are already collaborating with four or more cloud service providers. (Source: Microsoft and 451 Research) 2.3 Ease of Administration Managing a Docker or Kubernetes cluster is complex and requires various skill sets. Kubernetes generates a lot of unprocessed data, which must be interpreted to comprehend what's happening with the cluster. Early detection and intervention are crucial to disaster prevention. Identifying a platform that eliminates the issue of analyzing raw data is essential. By incorporating automated intelligent monitoring and alerts, such solutions can provide critical status, error, event, and warning data to take appropriate action. 2.4 Assistance and Training As the organization begins to acquire Kubernetesor Docker skills, it is essential to have a vendor that can provide 24/7 support and training to ensure a seamless transition. Incorrect implementation will add a layer of complexity to infrastructure management. Leverage automation tools that offer the support needed to use Kubernetes and Docker without the management burden. 3. 10 Tools and Platforms Providing Kubernetes and Docker 3.1 Aqua Cloud Native Security Platform: Aqua Security provides the Aqua Cloud Native Security Platform, a comprehensive security solution designed to protect cloud-native applications and microservices. Aqua offers end-to-end security for applications operating on Docker Enterprise Edition (Community Edition), protecting the DevOps pipeline and production workloads with complete visibility and control. It provides end-to-end security across the entire application lifecycle, from development to production, for both containerized and serverless workloads. In addition, it automates prevention, detection, and response across the whole application lifecycle to secure the build, cloud infrastructure, and operating workloads, regardless of where they are deployed. 3.2 Weave Gitops Enterprise Weave GitOps Enterprise, a full-stack, developer-centric operating model for Kubernetes, creates and contributes to several open-source projects. Its products and services enable teams to design, build, and operate their Kubernetes platform at scale. Built by the creators of Flux and Flagger, Weave GitOps allows users to deploy and manage Kubernetes clusters and applications in the public or private cloud or their own data center. Weave GitOps Enterprise helps simplify Kubernetes with fully automated continuous delivery pipelines that roll out changes from development to staging and production. Weaveworks has used Kubernetes in production for over eight years and has developed that expertise into Weave GitOps Enterprise. 3.3 Mirantis Kubernetes Engine Mirantis provides the Mirantis Kubernetes Engine, a platform designed to help organizations deploy, manage, and scale their Kubernetes clusters. It includes features such as container orchestration, automated deployment, monitoring, and high availability, all designed to help organizations build and run their applications at scale. Mirantis Kubernetes Engine also includes a set of tools for managing the lifecycle of Kubernetes clusters, including cluster deployment, upgrades, and patching. It also has security scanning and policy enforcement features, as well as integration with other enterprise IT systems such as Active Directory and LDAP. 3.4 Portworx by Pure Storage Portworx's deep integration into Docker gives Portworx container data services benefits directly through the Docker Swarm scheduler. Swarm service creation brings the management capability of Portworx to the Docker persistent storage layer to avoid complex tasks such as increasing the storage pool without container downtime and problems like stuck EBS drives. Portworx is also a multi-cloud-ready Kubernetes storage and administration platform designed to simplify and streamline data management in Kubernetes. The platform abstracts the complexity of data storage in Kubernetes. Additionally, it serves as a software-defined layer that aggregates Kubernetes nodes' data storage into a virtual reservoir. 3.5 Platform9 Platform9 provides a powerful IDE for developers for simplified in-context views of pods, logs, events, and more. Both development and operations teams can access the information they need in an instant, secured through SSO and Kubernetes RBAC. The industry’s first SaaS-managed approach combined with a best-in-class support and customer success organization with a 99.9% consistent CSAT rating delivers production-ready K8s to organizations of any size. It provides services to deploy a cluster instantly, achieve GitOps faster, and take care of every aspect of cluster management, including remote monitoring, self-healing, automatic troubleshooting, and proactive issue resolution, around the clock. 3.6 Kubernetes Network Security Sysdig provides Kubernetes Network Security, a solution that offers cloud security from source to run. The product provides network security for Kubernetes environments by monitoring and blocking suspicious traffic in real time. It helps organizations protect their Kubernetes clusters against advanced threats and attacks. The product and Sysdig Secure offer Kubernetes Network Monitoring to investigate suspicious traffic and connection attempts, Kubernetes-Native Microsegmentation to enable microsegmentation without breaking the application, and Automated Network Policies to save time by automating Kubernetes network policies. 3.7 Kubernetes Operations Platform for Edge Rafay delivers a production-ready Kubernetes Operations Platform for Edge, streamlining ongoing operations for edge applications. It provides centralized multi-cluster management to deploy, manage, and upgrade all Kubernetes clusters from a single console across all edge nodes. In addition, it offers comprehensive lifecycle management, with which users can quickly and easily provision Kubernetes clusters at the edge, where cluster updates and upgrades are seamless with no downtime. Furthermore, the KMC for Edge quickly integrates with enterprise-class SSO solutions such as Okta, Ping One, and Azure AD, among others. Other features include standardized clusters and workflows, integration and automation, and centralized logging and monitoring. 3.8 Opcito Technologies Opcito provides simplified container management with efficient provisioning, deployment, scaling, and networking. Its application containerization expertise helps containerize existing and new applications and dependencies. Opcito is well-versed in leading container orchestration platforms like Docker Swarm and Kubernetes. While it helps choose the container platform that best suits specific application needs, it also helps with the end-to-end management of containers so clients can release applications faster and focus on innovation and business. The container management and orchestration services include: building secured microservices, Enterprise-scale Container Management and Orchestration, Orchestration, and Container Monitoring. 3.9 D2iQ Kubernetes Platform (DKP) D2iQ (DKP) enables enterprises to take advantage of all the benefits of cloud-native Kubernetes while laying the groundwork for intelligent cloud-native innovation by simplifying Kubernetes deployment and maintenance. It simplifies and automates the most difficult parts of an enterprise Kubernetes deployment across all infrastructures. DKP helps enterprises easily overcome operational barriers and set them up in minutes and hours rather than weeks and months. In addition, DKP simplifies Kubernetes management through automation using GitOps workflow, observability, application catalog, real-time cost management, and more. 3.10 Spektra Spektra, by Diamanti, a multi-cluster management solution for DevOps and production teams, provides centralized multi-cluster management, a single control plane to deliver everything needed to provision and manage the lifecycle of multiple clusters. Spektra is built to cater to business needs, from air-gapped on-prem deployments to hybrid and multi-cloud infrastructures. It also enables stretching resources across different clusters within the tenant. Furthermore, it allows you to move workloads and their associated data from one cluster to another directly from its dashboard. Spektra integrates with lightweight directory access protocols (LDAP) and Active Directory (AD) to enable user authentication and streamline resource access. In addition, it offers application migration, data mobility, and reporting. 4. Conclusion It is evident that Kubernetes and Docker can significantly boost software development and deployment productivity. By adopting appropriate containerization platforms and leveraging Kubernetes for orchestration, organizations can streamline workflows, improve efficiency, and enhance the reliability of their applications. Furthermore, following the tips to choose the tools or platform carefully can further improve productivity.

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Virtual Desktop Strategies, Server Hypervisors

Network Virtualization: The Future of Businesses and Networks

Article | April 27, 2023

Network virtualization has emerged as the widely recommended solution for the networking paradigm's future. Virtualization has the potential to revolutionize networks in addition to providing a cost-effective, flexible, and secure means of communication. Network virtualization isn't an all-or-nothing concept. It can help several organizations with differing requirements, or it can provide a bunch of new advantages for a single enterprise. It is the process of combining a network's physical hardware into a single, virtual network. This is often accomplished by running several virtual guest machines in software containers on a single physical host system. Network virtualization is indeed the new gold standard for networking, and it is being embraced by enterprises of all kinds globally. By integrating their current network gear into a single virtual network, businesses can reduce operating expenses, automate network and security processes, and lay the groundwork for future growth. Network virtualization also enables organizations to simulate traditional hardware like servers, storage devices, and network resources. The physical network performs basic tasks like packet forwarding, while virtual versions handle more complex activities like networking service management and deployment. Addressing Network Virtualization Challenges Surprisingly, IT teams might encounter network virtualization challenges that are both technical and non-technical in nature. Let's look at some common challenges and discuss how to overcome them. Change in Network Architecture Practically, the first big challenge is shifting from an architecture that depends heavily on routers, switches, and firewalls. Instead, these services are detached from conventional hardware and put on hypervisors that virtualize these operations. Virtualized network services are shared, scaled, and moved as required. Migrating current LANs and data centers to a virtualized platform require careful planning. This migration involves the following tasks: Determine how much CPU, computation, and storage resources will be required to run virtualized network services. Determine the optimal approach for integrating network resilience and security services. Determine how the virtualized network services will be implemented in stages to avoid disrupting business operations. The key to a successful migration is meticulous preparation by architects who understand the business's network requirements. This involves a thorough examination of existing apps and services, as well as a clear knowledge of how data should move across the company most effectively. Moreover, a progressive approach to relocation is often the best solution. In this instance, IT teams can make changes to the virtualization platform without disrupting the whole corporate network. Network Visibility Network virtualization has the potential to considerably expand the number of logical technology layers that must collaborate. As a result, traditional network and data center monitoring technologies no longer have insight into some of these abstracted levels. In other circumstances, visibility can be established, but the tools fail to show the information correctly so that network operators can understand it. In either case, deploying and managing modern network visibility technologies is typically the best choice. When an issue arises, NetOps personnel are notified of the specific service layer. Automation and AI The enhanced level of automation and self-service operations that can be built into a platform is a fundamental aspect of network virtualization. While these activities can considerably increase the pace of network upgrades while decreasing management overhead, they need the documentation and implementation of a new set of standards and practices. Understand that prior network architectures were planned and implemented utilizing actual hardware appliances on a hop-by-hop basis. A virtualized network, on the other hand, employs a centralized control plane to govern and push policies to all sections of the network. Changes may occur more quickly in this aspect, but various components must be coordinated to accomplish their roles in harmony. As a result, network teams should move their attention away from network operations that are already automated. Rather, their new responsibility is to guarantee that the core automation processes and AI are in sync in order to fulfill those automated tasks. Driving Competitive Edge with Network Virtualization Virtualization in networking or virtual machines within an organization is not a new trend. Even small and medium businesses have realized the benefits of network virtualization, especially when combined with a hosted cloud service provider. Because of this, the demand for enterprise network virtualization is rising, driving higher end-user demands and the proliferation of devices and business tools. These network virtualization benefits can help boost business growth and gain a competitive edge. Gaining a Competitive Edge: Network Virtualization Benefits Cost-Savings on Hardware Faster Desktop and Server Provisioning and Deployment Improved Data Security and Disaster Recovery Increasing IT Operational Efficiency Small Footprint and Energy Saving Network Virtualization: The Path to Digital Transformation Business is at the center of digital transformation, but technology is needed to make it happen. Integrated clouds, highly modern data centers, digital workplaces, and increased data center security are all puzzle pieces, and putting them all together requires a variety of various products and services that are deployed cohesively. The cloud revolution is still having an influence on IT, transforming how digital content is consumed and delivered. This should come as no surprise that such a shift has influenced how we feel about current networking. When it boils down to it, the purpose of digital transformation for every company, irrespective of industry, is the same: to boost the speed with which you can respond to market changes and evolving business needs; to enhance your ability to embrace and adapt to new technology, and to improve overall security. As businesses realize that the underlying benefit of cloud adoption and enhanced virtualization isn't simply about cost savings, digital strategies are evolving, becoming more intelligent and successful in the process. Network virtualization is also a path toward the smooth digital transformation of any business. How does virtualization help in accelerating digital transformation? Combining public and private clouds, involving hardware-based computing, storage, and networking software definition. A hyper-converged infrastructure that integrates unified management with virtualized computing, storage, and networking could be included. Creating a platform for greater productivity by providing the apps and services consumers require when and when they utilize them. This should include simplifying application access and administration as well as unifying endpoint management. Improving network security and enhancing security flexibility to guarantee that quicker speed to market is matched by tighter security. Virtualization will also help businesses to move more quickly and safely, bringing products—and profits—to market faster. Enhancing Security with Network Virtualization Security has evolved as an essential component of every network architecture. However, since various areas of the network are often segregated from one another, it might be challenging for network teams to design and enforce network virtualization security standards that apply to the whole network. Zero trust can integrate such network parts and their accompanying virtualization activities. Throughout the network, the zero-trust architecture depends on the user and device authentication. If LAN users wish to access data center resources, they must first be authenticated. The secure connection required for endpoints to interact safely is provided by a zero-trust environment paired with network virtualization. To facilitate these interactions, virtual networks can be ramped up and down while retaining the appropriate degree of traffic segmentation. Access policies, which govern which devices can connect with one another, are a key part of this process. If a device is allowed to access a data center resource, the policy should be understood at both the WAN and campus levels. Some of the core network virtualization security features are: Isolation and multitenancy are critical features of network virtualization. Segmentation is related to isolation; however it is utilized in a multitier virtual network. A network virtualization platform's foundation includes firewalling technologies that enable segmentation inside virtual networks. Network virtualization enables automatic provisioning and context-sharing across virtual and physical security systems. Investigating the Role of Virtualization in Cloud Computing Virtualization in the cloud computing domain refers to the development of virtual resources (such as a virtual server, virtual storage device, virtual network switch, or even a virtual operating system) from a single resource of its type that also shows up as several personal isolated resources or environments that users can use as a separate individual physical resource. Virtualization enables the benefits of cloud computing, such as ease of scaling up, security, fluid or flexible resources, and so on. If another server is necessary, a virtual server will be immediately created, and a new server will be deployed. When we need more memory, we increase the virtual server configurations we currently have, and we now have the extra RAM we need. As a result, virtualization is the underlying technology of the cloud computing business model. The Benefits of Virtualization in Cloud Computing: Efficient hardware utilization Virtualization improves availability Disaster recovery is quick and simple Energy is saved by virtualization Setup is quick and simple Cloud migration has become simple Motivating Factors for the Adoption of Network Virtualization Demand for enterprise networks continues to climb, owing to rising end-user demands and the proliferation of devices and business software. Thanks to network virtualization, IT companies are gaining the ability to respond to shifting demands and match their networking capabilities with their virtualized storage and computing resources. In fact, according to a recent SDxCentral report, 88% of respondents believe it is "important" or "mission critical" to implement a network virtualization software over the next two to five years. Virtualization is also an excellent alternative for businesses that employ outsourced IT services, are planning mergers or acquisitions or must segregate IT teams owing to regulatory compliance. Reasons to Adopt Network Virtualization: A Business Needs Speed Security Requirements Are Rising Apps can Move Around Micro-segmentation IT Automation and Orchestration Reduce Hardware Dependency and CapEx: Adopt Multi-Tenancy Cloud Disaster Recovery mproved Scalability Wrapping-Up Network virtualization and cloud computing are emerging technologies of the future. As CIOs get actively involved in organizational systems, these new concepts will be implemented in more businesses. As consumer demand for real-time services expands, businesses will be driven to explore network virtualization as the best way to take their networks to the next level. The networking future is here. FAQ Why is network virtualization important for business? By integrating their current network gear into a single virtual network, businesses can reduce operating expenses, automate network and security processes, and set the stage for future growth. Where is network virtualization used? Network virtualization can be utilized in application development and testing to simulate hardware and system software realistically. Network virtualization in application performance engineering allows for the modeling of connections among applications, services, dependencies, and end users for software testing. How does virtualization work in cloud computing? Virtualization, in short, enables cloud providers to provide users alongside existing physical computer infrastructure. As a simple and direct process, it allows cloud customers to buy only the computing resources they require when they want them and to maintain those resources cost-effectively as the demand grows.

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Server Virtualization

How to Start Small and Grow Big with Data Virtualization

Article | June 9, 2022

Why Should Companies Care about Data Virtualization? Data is everywhere. With each passing day, companies generate more data than ever before, and what exactly can they do with all this data? Is it just a matter of storing it? Or should they manage and integrate their data from the various sources? How can they store, manage, integrate and utilize their data to gain information that is of critical value to their business? As they say, knowledge is power, but knowledge without action is useless. This is where the Denodo Platform comes in. The Denodo Platform gives companies the flexibility to evolve their data strategies, migrate to the cloud, or logically unify their data warehouses and data lakes, without affecting business. This powerful platform offers a variety of subscription options that can benefit companies immensely. For example, companies often start out with individual projects using a Denodo Professional subscription, but in a short period of time they end up adding more and more data sources and move on to other Denodo subscriptions such as Denodo Enterprise or Denodo Enterprise Plus. The upgrade process is very easy to establish; in fact, it can be done in less than a day once the cloud marketplace is chosen (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). In as little as six weeks companies can realize real business benefits from managing and utilizing their data effectively. A Bridging Layer Data virtualization has been around for quite some time now. Denodo’s founders, Angel Viña and Alberto Pan, have been involved in data virtualization from as far back as the 1990’s. If you’re not familiar with data virtualization, here is a quick summary. Data virtualization is the cornerstone to a logical data architecture, whether it be a logical data warehouse, logical data fabric, data mesh, or even a data hub. All of these architectures are best served by our principals Combine (bring together all your data sources), Connect (into a logical single view) and Consume (through standard connectors to your favorite BI/data science tools or through our easy-to-use robust API’s). Data virtualization is the bridge that joins multiple data sources to fuel analytics. It is also the logical data layer that effectively integrates data silos across disparate systems, manages unified data for centralized security, and delivers it to business users in real time. Economic Benefits in Less Than 6 weeks with Data Virtualization? In a short duration, how can companies benefit from choosing data virtualization as a data management solution? To answer this question, below are some very interesting KPI’s discussed in the recently released Forrester study on the Total Economic Impact of Data Virtualization. For example, companies that have implemented data virtualization have seen an 83% increase in business user productivity. Mainly this is due to the business-centric way a data virtualization platform is delivered. When you implement data virtualization, you provide business users with an easy to access democratized interface to their data needs. The second KPI to note is a 67% reduction in development resources. With data virtualization, you connect to the data, you do not copy it. This means once it is set up, there is a significant reduction in the need for data integration engineers, as data remains in the source location and is not copied around the enterprise. Finally, companies are reporting a 65% improvement in data access speeds above and beyond more traditional approaches such as extract, transform, and load (ETL) processes. A Modern Solution for an Age-Old Problem To understand how data virtualization can help elevate projects to an enterprise level, we can share a few use cases in which companies have leveraged data virtualization to solve their business problems across several different industries. For example, in finance and banking we often see use cases in which data virtualization can be used as a unifying platform to help improve compliance and reporting. In retail, we see use cases including predictive analytics in supply chains as well as next and best actions from a unified view of the customer. There are many uses for data virtualization in a wider variety of situations, such as in healthcare and government agencies. Companies use the Denodo Platform to help data scientists understand key trends and activities, both sociologically as well as economically. In a nutshell, if data exists in more than one source, then the Denodo Platform acts as the unifying platform that connects, combines and allows users to consume the data in a timely, cost-effective manner.

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Spotlight

OpenVZ

OpenVZ is container-based virtualization for Linux. OpenVZ creates multiple secure, isolated Linux containers (otherwise known as VEs or VPSs) on a single physical server enabling better server utilization and ensuring that applications do not conflict. Each container performs and executes exactly like a stand-alone server; a container can be rebooted independently and have root access, users, IP addresses, memory, processes, files, applications, system libraries and configuration files. is container-based virtualization for Linux.

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